Wed, 12 May 2021

Package RcmdrPlugin.orloca updated to version 4.8.2 with previous version 4.7 dated 2018-11-05

Title: A GUI for Planar Location Problems
Description: A GUI for the orloca package is provided as a Rcmdr plug-in. The package deals with continuos planar location problems.
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrPlugin.orloca versions 4.7 dated 2018-11-05 and 4.8.2 dated 2021-05-12

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More information about RcmdrPlugin.orloca at CRAN
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Package broomExtra updated to version 4.2.3 with previous version 4.2.1 dated 2021-02-21

Title: Enhancements for 'broom' and 'easystats' Package Families
Description: Provides helper functions that assist in data analysis workflows involving regression analyses. The goal is to combine the functionality offered by different set of packages ('broom', 'broom.mixed', 'parameters', and 'performance') through a common syntax to return tidy dataframes containing model parameters and performance measure summaries. The 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre, cph] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between broomExtra versions 4.2.1 dated 2021-02-21 and 4.2.3 dated 2021-05-12

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Package probhat updated to version 0.4.1 with previous version 0.4.0 dated 2021-04-02

Title: Multivariate Generalized Kernel Smoothing and Related Statistical Methods
Description: Probability mass functions (PMFs), probability density functions (PDFs), cumulative distribution functions (CDFs) and quantile functions, mainly via (optionally bounded/truncated) kernel smoothing. In the continuous case, there's support for univariate, multivariate and conditional distributions, including distributions that are both multivariate and conditional. Refer to the book "Kernel Smoothing" by Wand and Jones (1995), whose methods are generalized by the methods here. Also, supports categorical distributions, mixed conditional distributions (with mixed input types) and smooth empirical-like distributions, some of which, can be used for statistical classification. There are extensions for computing distance matrices (between distributions), multivariate probabilities, multivariate random numbers, moment-based statistics and mode estimates.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

Diff between probhat versions 0.4.0 dated 2021-04-02 and 0.4.1 dated 2021-05-12

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Package gawdis updated to version 0.1.3 with previous version 0.1.2 dated 2020-12-17

Title: Multi-Trait Dissimilarity with more Uniform Contributions
Description: R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. de Bello et al. (2021) <doi:10.1111/2041-210X.13537> presented the approach based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytic or a numerical solution, both available in the function.
Author: Francesco de Bello [aut], Zoltan Botta-Dukat [aut], Jan Leps [aut], Pavel Fibich [aut, cre]
Maintainer: Pavel Fibich <pavel.fibich@prf.jcu.cz>

Diff between gawdis versions 0.1.2 dated 2020-12-17 and 0.1.3 dated 2021-05-12

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Package qsub updated to version 1.1.2 with previous version 1.1.1 dated 2021-01-29

Title: Running Commands Remotely on 'Gridengine' Clusters
Description: Run lapply() calls in parallel by submitting them to 'gridengine' clusters using the 'qsub' command.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between qsub versions 1.1.1 dated 2021-01-29 and 1.1.2 dated 2021-05-12

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Package OligoSpecificitySystem (with last version 1.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2010-01-12 1.3
2009-12-16 1.2
2009-12-09 1.1
2009-11-26 1.0

Permanent link
Package sass updated to version 0.4.0 with previous version 0.3.1 dated 2021-01-24

Title: Syntactically Awesome Style Sheets ('Sass')
Description: An 'SCSS' compiler, powered by the 'LibSass' library. With this, R developers can use variables, inheritance, and functions to generate dynamic style sheets. The package uses the 'Sass CSS' extension language, which is stable, powerful, and CSS compatible.
Author: Joe Cheng [aut], Timothy Mastny [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), RStudio [cph, fnd], Sass Open Source Foundation [ctb, cph] (LibSass library), Greter Marcel [ctb, cph] (LibSass library), Mifsud Michael [ctb, cph] (LibSass library), Hampton Catlin [ctb, cph] (LibSass library), Natalie Weizenbaum [ctb, cph] (LibSass library), Chris Eppstein [ctb, cph] (LibSass library), Adams Joseph [ctb, cph] (json.cpp), Trifunovic Nemanja [ctb, cph] (utf8.h)
Maintainer: Carson Sievert <carson@rstudio.com>

Diff between sass versions 0.3.1 dated 2021-01-24 and 0.4.0 dated 2021-05-12

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New package ProcMod with initial version 1.0.8
Package: ProcMod
Title: Informative Procrustean Matrix Correlation
Version: 1.0.8
Author: Eric Coissac, Christelle Gonindard-Melodelima
Maintainer: Eric Coissac <eric.coissac@metabarcoding.org>
Description: Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissac Eric and Gonindard-Melodelima Christelle (2019) <doi:10.1101/842070>.
License: CeCILL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: MASS, permute, Matrix, stats, foreach, Rdpack
Suggests: knitr, rmarkdown, roxygen2, vegan, testthat, ade4, doParallel
RdMacros: Rdpack
Collate: 'internals.R' 'procmod_frame.R' 'multivariate.R' 'procmod.R' 'covls.R' 'corls_test.R' 'procuste.R' 'simulate.R'
NeedsCompilation: no
Packaged: 2021-05-11 13:33:05 UTC; coissac
Repository: CRAN
Date/Publication: 2021-05-12 06:52:11 UTC

More information about ProcMod at CRAN
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Package meta updated to version 4.18-1 with previous version 4.18-0 dated 2021-03-05

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between meta versions 4.18-0 dated 2021-03-05 and 4.18-1 dated 2021-05-12

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Package gt updated to version 0.3.0 with previous version 0.2.2 dated 2020-08-05

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Joe Cheng [aut], Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>

Diff between gt versions 0.2.2 dated 2020-08-05 and 0.3.0 dated 2021-05-12

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More information about gt at CRAN
Permanent link

Package ggiraph updated to version 0.7.9 with previous version 0.7.8 dated 2020-07-01

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Panagiotis Skintzos [aut], Mike Bostock [cph] (d3.js), Speros Kokenes [cph] (d3-lasso), Eric Shull [cph] (saveSvgAsPng js library), Eric Book [ctb] (hline and vline geoms)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between ggiraph versions 0.7.8 dated 2020-07-01 and 0.7.9 dated 2021-05-12

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Package document updated to version 3.3.2 with previous version 3.3.1 dated 2021-03-31

Title: Run 'roxygen2' on (Chunks of) Single Code Files
Description: Have you ever been tempted to create 'roxygen2'-style documentation comments for one of your functions that was not part of one of your packages (yet)? This is exactly what this package is about: running 'roxygen2' on (chunks of) a single code file.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package diveMove updated to version 1.6.0 with previous version 1.5.4 dated 2021-04-20

Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
Author: Sebastian P. Luque <spluque@gmail.com>
Maintainer: Sebastian P. Luque <spluque@gmail.com>

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Package autothresholdr updated to version 1.3.11 with previous version 1.3.10 dated 2021-04-19

Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. See <https://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths] (<https://orcid.org/0000-0002-8010-9481>), Gabriel Landini [ctb, cph] (<https://orcid.org/0000-0002-9689-0989>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package yotover (with last version 0.3.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-01-28 0.3.5
2020-12-16 0.3.2
2020-11-05 0.1

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Package ennet (with last version 0.2.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-05-11 0.2.2

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Package rgenie (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-09-30 1.0.0

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Package RAMClustR updated to version 1.2.1 with previous version 1.2.0 dated 2021-04-22

Title: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
Description: A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry <DOI: 10.1021/ac501530d> data.
Author: Corey D. Broeckling, Fayyaz Afsar, Steffan Neumann, Asa Ben-Hur, Jessica Prenni.
Maintainer: "Broeckling,Corey" <Corey.Broeckling@ColoState.EDU>

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Package mixsmsn updated to version 1.1-9 with previous version 1.1-8 dated 2020-10-08

Title: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Description: Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions, details in Prates, Lachos and Cabral (2013) <doi: 10.18637/jss.v054.i12>, Cabral, Lachos and Prates (2012) <doi:10.1016/j.csda.2011.06.026> and Basso, Lachos, Cabral and Ghosh (2010) <doi:10.1016/j.csda.2009.09.031>.
Author: Marcos Prates [aut, cre, trl], Victor Lachos [aut], Celso Cabral [aut]
Maintainer: Marcos Prates <marcosop@est.ufmg.br>

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Package MoBPS (with last version 1.4.87) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-03-28 1.4.87

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Package pleLMA (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-27 0.1.0

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Package regmedint updated to version 0.2.1 with previous version 0.2.0 dated 2020-11-16

Title: Regression-Based Causal Mediation Analysis with an Interaction Term
Description: 'R' implementation of the regression-based causal mediation analysis with a treatment-mediator interaction term, as originally implemented in the 'SAS' macro by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>. Linear and logistic models are supported for the mediator model. Linear, logistic, loglinear, Poisson, negative binomial, Cox, and accelerated failure time (exponential and Weibull) models are supported for the outcome model.
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Yi Li [ctb, aut] (<https://orcid.org/0000-0002-9359-210X>), Maya Mathur [ctb] (<https://orcid.org/0000-0001-6698-2607>)
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>

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Package ds4psy updated to version 0.7.0 with previous version 0.6.0 dated 2021-04-08

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2021), available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.
Author: Hansjoerg Neth [aut, cre] (<https://orcid.org/0000-0001-5427-3141>)
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between ds4psy versions 0.6.0 dated 2021-04-08 and 0.7.0 dated 2021-05-12

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Package phillydaodata (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-01-27 1.0.1
2020-11-14 1.0.0

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Tue, 11 May 2021

New package GreedyEPL with initial version 1.1
Package: GreedyEPL
Title: Greedy Expected Posterior Loss
Version: 1.1
Date: 2021-05-11
Authors@R: person(given = "Riccardo", family = "Rastelli", role = c("aut", "cre"), email = "riccardoras@gmail.com")
Description: Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2017) "Optimal Bayesian estimators for latent variable cluster models" <DOI:10.1007/s11222-017-9786-y>.
License: GPL-3
Imports: Rcpp (>= 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-05-11 17:37:23 UTC; riccardo
Author: Riccardo Rastelli [aut, cre]
Maintainer: Riccardo Rastelli <riccardoras@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-12 01:02:11 UTC

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Package WienR updated to version 0.2-0 with previous version 0.1-9 dated 2021-05-07

Title: Derivatives of the Diffusion Density and Cumulative Distribution Function
Description: Calculates the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. Since the PDF, CDF, and their derivatives are represented as infinite series, we give the user the option to control the approximation errors with the argument 'precision'. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is required whenever sv, sw, and/or st0 is not zero. Note that numerical integration reduces speed of the computation and the precision cannot be guaranteed anymore. Therefore, whenever numerical integration is used an estimate of the approximation error is provided in the output list.
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [ctb], Przemyslaw Sliwa [ctb], Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

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Package smoots updated to version 1.1.0 with previous version 1.0.1 dated 2019-12-02

Title: Nonparametric Estimation of the Trend and Its Derivatives in TS
Description: The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>.
Author: Yuanhua Feng [aut] (Paderborn University, Germany), Sebastian Letmathe [aut] (Paderborn University, Germany), Dominik Schulz [aut, cre] (Paderborn University, Germany), Thomas Gries [ctb] (Paderborn University, Germany), Marlon Fritz [ctb] (Paderborn University, Germany)
Maintainer: Dominik Schulz <schulzd@mail.uni-paderborn.de>

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More information about smoots at CRAN
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Package oppr updated to version 1.0.3 with previous version 1.0.2 dated 2020-05-20

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
Author: Jeffrey O Hanson [aut, cre] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut] (<https://orcid.org/0000-0003-3191-7869>), Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Joseph R Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>)
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package kdevine updated to version 0.4.3 with previous version 0.4.2 dated 2018-12-17

Title: Multivariate Kernel Density Estimation with Vine Copulas
Description: Implements the vine copula based kernel density estimator of Nagler and Czado (2016) <doi:10.1016/j.jmva.2016.07.003>. The estimator does not suffer from the curse of dimensionality and is therefore well suited for high-dimensional applications.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

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More information about kdevine at CRAN
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Package FishResp updated to version 1.1.0 with previous version 1.0.3 dated 2019-03-07

Title: Analytical Tool for Aquatic Respirometry
Description: Calculates metabolic rate of fish and other aquatic organisms measured using an intermittent-flow respirometry approach. The tool is used to run a set of graphical QC tests of raw respirometry data, correct it for background respiration and chamber effect, filter and extract target values of absolute and mass-specific metabolic rate. Experimental design should include background respiration tests and measuring of one or more metabolic rate traits. The R package is ideally integrated with the pump controller 'PumpResp' and the DO meter 'SensResp' (open-source hardware by FishResp). Raw respirometry data can be also imported from 'AquaResp' (free software), 'AutoResp' ('LoligoSystems'), 'OxyView' ('PreSens'), 'Pyro Oxygen Logger' ('PyroScience') and 'Q-box Aqua' ('QubitSystems'). More information about the R package 'FishResp'is available in the publication by Morozov et al. (2019) <doi:10.1093/conphys/coz003>.
Author: Sergey Morozov [aut, cre], Scott McCairns [aut, ths], Juha Merila [ths], Federico Calboli [ctb], Jenni Prokkola [dtc], Stephen White [dtc], Daniel Montgomery [dtc], Laura Almodovar-Acevedo [dtc], Niclas Kolm [dtc], Alexander Kotrschal [dtc], Erik Gill [dtc]
Maintainer: Sergey Morozov <sergey.morozov@helsinki.fi>

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More information about FishResp at CRAN
Permanent link

New package doconv with initial version 0.1.2
Package: doconv
Title: Document Conversion to 'PDF' or 'PNG'
Version: 0.1.2
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person(given = "ArData", role = "cph") )
Description: Functions to convert 'Microsoft Word' or 'Microsoft PowerPoint' documents to 'PDF' format and also for converting them into a thumbnail. In order to work, 'LibreOffice' must be installed on the machine and possibly 'python' and 'Microsoft Word'. If the latter is available, it can be used to produce PDF documents identical to the originals, otherwise, 'LibreOffice' is used.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magick, pdftools, locatexec, rappdirs
BugReports: https://github.com/ardata-fr/doconv/issues
SystemRequirements: LibreOffice, Microsoft Word
NeedsCompilation: no
Packaged: 2021-05-11 16:07:23 UTC; davidgohel
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2021-05-12 00:52:24 UTC

More information about doconv at CRAN
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Package diseq updated to version 0.3.1 with previous version 0.2.1 dated 2021-04-14

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre] (<https://orcid.org/0000-0001-9871-1908>)
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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Package BootstrapQTL updated to version 1.0.5 with previous version 1.0.2 dated 2018-09-21

Title: Bootstrap cis-QTL Method that Corrects for the Winner's Curse
Description: Identifies genome-related molecular traits with significant evidence of genetic regulation and performs a bootstrap procedure to correct estimated effect sizes for over-estimation present in cis-QTL mapping studies (The "Winner's Curse"), described in Huang QQ *et al.* 2018 <doi: 10.1093/nar/gky780>.
Author: Qin Qin Huang [aut], Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>

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Package baggr updated to version 0.6.4 with previous version 0.4.0 dated 2020-02-28

Title: Bayesian Aggregate Treatment Effects
Description: Running and comparing meta-analyses of data with hierarchical Bayesian models in Stan, including convenience functions for formatting data, plotting and pooling measures specific to meta-analysis. This implements many models from Meager (2019) <doi:10.1257/app.20170299>.
Author: Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] (predict(), loo_compare, many visuals), Trustees of Columbia University [cph] (tools/make_cc.R)
Maintainer: Witold Wiecek <witold.wiecek@gmail.com>

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Package skpr updated to version 0.66.5 with previous version 0.64.2 dated 2020-03-04

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package Perc updated to version 0.1.6 with previous version 0.1.5 dated 2020-04-27

Title: Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network
Description: To find the certainty of dominance interactions with indirect interactions being considered.
Author: Kevin Fujii [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Aaron Shev [aut], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]
Maintainer: Jessica Vandeleest <vandelee@ucdavis.edu>

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Package MultinomialCI updated to version 1.2 with previous version 1.1 dated 2019-09-07

Title: Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz
Description: An implementation of a method for building simultaneous confidence intervals for the probabilities of a multinomial distribution given a set of observations, proposed by Sison and Glaz in their paper: Sison, C.P and J. Glaz. Simultaneous confidence intervals and sample size determination for multinomial proportions. Journal of the American Statistical Association, 90:366-369 (1995). The method is an R translation of the SAS code implemented by May and Johnson in their paper: May, W.L. and W.D. Johnson. Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells. Journal of Statistical Software 5(6) (2000). Paper and code available at <DOI:10.18637/jss.v005.i06>.
Author: Pablo J. Villacorta <pjvi@decsai.ugr.es>
Maintainer: Pablo J. Villacorta <pjvi@decsai.ugr.es>

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Package cecs updated to version 0.2.1 with previous version 0.2.0 dated 2021-04-25

Title: R Interface for the C Implementation of CEC Benchmark Functions
Description: Goal of this package is to provide access to benchmark functions defined for the Special Session and Competition on Real-Parameter Single Objective Optimization in one place. The package contains functions from following years: 2013, 2014, 2015, 2017, 2019, 2021 (<https://github.com/P-N-Suganthan>). Implementations of CEC-2013 (Y. Gonzalez-Fernandez & M. Zambrano-Bigiarini) and CEC2017 (D. Jagodziński) are taken from existed R packages. Also, the original C source code has been cleaned and reorganized for better readability.
Author: Eryk Warchulski [aut, cre], Dariusz Jagodziński [cph], Yasser Gonzalez-Fernandez [cph], Mauricio Zambrano-Bigiarini [cph]
Maintainer: Eryk Warchulski <ewarchul@gmail.com>

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Package WeMix updated to version 3.1.7 with previous version 3.1.6 dated 2020-12-08

Title: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels.
Author: Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Claire Kelley [aut], Trang Nguyen [aut], Huade Huo [aut], Eric Buehler [ctb], Christian Kjeldsen [ctb]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between WeMix versions 3.1.6 dated 2020-12-08 and 3.1.7 dated 2021-05-11

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Package timsr updated to version 0.0.3 with previous version 0.0.2 dated 2021-05-04

Title: Easily Access timsTOF Data
Description: Access 'timsTOF' mass spectrometry data, as described <https://sso.bruker.com/auth/realms/bruker/protocol/openid-connect/auth?client_id=aem-bruker.com&redirect_uri=https%3A%2F%2Fwww.bruker.com%2Fen.login.html%3FtargetUrl%3Dhttps%3A%2F%2Fwww.bruker.com%2Fen%2Fservices%2Fsoftware-downloads%2Fmass-spectrometry.html&response_type=id_token%20token&scope=openid%20profile&state=4f9d225e92f341cca3b03a55533dbd65&nonce=f550633b1e984ecfb07979ae6d9277b4&ui_locales=en> (after registering), using the 'OpenTIMS' C++ reader and save all into 'data.tables'.
Author: Mateusz Krzysztof Łącki [aut, cre, cph] (<https://orcid.org/0000-0001-7415-4748>), Michał Piotr Startek [aut, cph] (<https://orcid.org/0000-0001-5227-3447>)
Maintainer: Mateusz Krzysztof Łącki <matteo.lacki@gmail.com>

Diff between timsr versions 0.0.2 dated 2021-05-04 and 0.0.3 dated 2021-05-11

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Package stocc updated to version 1.31 with previous version 1.30 dated 2015-08-23

Title: Fit a Spatial Occupancy Model via Gibbs Sampling
Description: Fit a spatial-temporal occupancy models using a probit formulation instead of a traditional logit model.
Author: Devin S. Johnson
Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>

Diff between stocc versions 1.30 dated 2015-08-23 and 1.31 dated 2021-05-11

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Package netmeta updated to version 1.4-0 with previous version 1.3-0 dated 2021-01-18

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - league table with network meta-analysis results; - additive network meta-analysis for combinations of treatments (Rücker et al., 2019) <DOI:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>; - automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>.
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between netmeta versions 1.3-0 dated 2021-01-18 and 1.4-0 dated 2021-05-11

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Package diagmeta updated to version 0.4-1 with previous version 0.4-0 dated 2020-04-02

Title: Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints
Description: Provides methods by Steinhauser et al. (2016) <DOI:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy studies with several cutpoints.
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Susanne Steinhauser [aut], Srinath Kolampally [aut], Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between diagmeta versions 0.4-0 dated 2020-04-02 and 0.4-1 dated 2021-05-11

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Package cleanr updated to version 1.3.2 with previous version 1.3.1 dated 2020-11-20

Title: Helps You to Code Cleaner
Description: Check your R code for some of the most common layout flaws. Many tried to teach us how to write code less dreadful, be it implicitly as B. W. Kernighan and D. M. Ritchie (1988) <ISBN:0-13-110362-8> in 'The C Programming Language' did, be it explicitly as R.C. Martin (2008) <ISBN:0-13-235088-2> in 'Clean Code: A Handbook of Agile Software Craftsmanship' did. So we should check our code for files too long or wide, functions with too many lines, too wide lines, too many arguments or too many levels of nesting. Note: This is not a static code analyzer like pylint or the like. Checkout <https://cran.r-project.org/package=lintr> instead.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between cleanr versions 1.3.1 dated 2020-11-20 and 1.3.2 dated 2021-05-11

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Package PASSED updated to version 1.1-0 with previous version 1.0-3 dated 2020-07-21

Title: Calculate Power and Sample Size for Two Sample Mean Tests
Description: Power calculations are a critical component of any research study to determine the minimum sample size necessary to detect differences between multiple groups. Here we present an 'R' package, 'PASSED', that performs power and sample size calculations for the test of two-sample means or ratios with data following beta, gamma (Chang et al. (2011), <doi:10.1007/s00180-010-0209-1>), normal, Poisson (Gu et al. (2008), <doi:10.1002/bimj.200710403>), binomial, geometric, and negative binomial (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>) distributions.
Author: Jinpu Li [aut, cre], Ryan Knigge [aut], Kaiyi Chen [aut], Emily Leary [aut]
Maintainer: Jinpu Li <lijinp@health.missouri.edu>

Diff between PASSED versions 1.0-3 dated 2020-07-21 and 1.1-0 dated 2021-05-11

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New package TensorComplete with initial version 0.1.0
Package: TensorComplete
Title: Tensor Noise Reduction and Completion Methods
Version: 0.1.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Imports: pracma, methods, utils, tensorregress, MASS
Description: Efficient algorithms for tensor noise reduction and completion. This package includes a suite of parametric and nonparametric tools for estimating tensor signals from noisy, possibly incomplete observations. The methods allow a broad range of data types, including continuous, binary, and ordinal-valued tensor entries. The algorithms employ the alternating optimization. The detailed algorithm description can be found in the following three references.
URL: Chanwoo Lee and Miaoyan Wang. Tensor denoising and completion based on ordinal observations. ICML, 2020. http://proceedings.mlr.press/v119/lee20i.html Chanwoo Lee and Miaoyan Wang. Beyond the Signs: Nonparametric tensor completion via sign series. 2021. https://arxiv.org/abs/2102.00384 Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang. Nonparametric trace regression in high dimensions via sign series representation. 2021. https://arxiv.org/abs/2105.01783
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-10 19:16:04 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2021-05-11 14:52:15 UTC

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New package SportsTour with initial version 0.1.0
Package: SportsTour
Title: Display Tournament Fixtures using Knock Out and Round Robin Techniques
Version: 0.1.0
Authors@R: c(person("Sunil","Kumar",role="aut"),person("Ankit","Tanwar",role="cre",email="ankit6.tanwar@gmail.com"))
Description: Use of Knock Out and Round Robin Techniques in preparing tournament fixtures as discussed in the Book Health and Physical Education by 'Dr. V K Sharma'(2018,ISBN:978-93-5272-134-4).
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-10 12:17:45 UTC; Ayushi Tanwar
Author: Sunil Kumar [aut], Ankit Tanwar [cre]
Maintainer: Ankit Tanwar <ankit6.tanwar@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 14:12:11 UTC

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Package sjlabelled updated to version 1.1.8 with previous version 1.1.7 dated 2020-09-24

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), avid Ranzolin [ctb], Jonathan De Troye [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjlabelled versions 1.1.7 dated 2020-09-24 and 1.1.8 dated 2021-05-11

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Package Signac updated to version 1.2.1 with previous version 1.2.0 dated 2021-04-28

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2020) <doi:10.1101/2020.11.09.373613>.
Author: Tim Stuart [aut, cre] (<https://orcid.org/0000-0002-3044-0897>), Avi Srivastava [aut] (<https://orcid.org/0000-0001-9798-2079>), Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>), Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>)
Maintainer: Tim Stuart <tstuart@nygenome.org>

Diff between Signac versions 1.2.0 dated 2021-04-28 and 1.2.1 dated 2021-05-11

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New package rainette with initial version 0.1.3
Package: rainette
Title: The Reinert Method for Textual Data Clustering
Version: 0.1.3
Date: 2021-05-10
Authors@R: c(person("Julien", "Barnier", email="julien.barnier@cnrs.fr", role=c("aut","cre")), person("Florian", "Privé", email="florian.prive.21@gmail.com", role="ctb"))
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>
Description: An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.
License: GPL (>= 3)
VignetteBuilder: knitr
URL: https://juba.github.io/rainette/
BugReports: https://github.com/juba/rainette/issues
Encoding: UTF-8
Imports: dplyr (>= 0.8.3), tidyr, purrr, ggplot2, stringr, quanteda (>= 2.1), quanteda.textstats, RSpectra, dendextend, ggwordcloud, gridExtra, rlang, RColorBrewer, shiny, miniUI, formatR, highr, progressr, Rcpp (>= 1.0.3)
Suggests: testthat, knitr, rmarkdown, covr, tm, FNN, quanteda.textmodels
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-05-10 12:32:16 UTC; julien
Author: Julien Barnier [aut, cre], Florian Privé [ctb]
Repository: CRAN
Date/Publication: 2021-05-11 14:30:02 UTC

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New package memoiR with initial version 0.5-0
Package: memoiR
Title: R Markdown and Bookdown Templates to Publish Documents
Version: 0.5-0
URL: https://github.com/EricMarcon/memoiR
BugReports: https://github.com/EricMarcon/memoiR/issues
Authors@R: person(given = "Eric", family = "Marcon", role = c("aut", "cre"), email = "eric.marcon@agroparistech.fr", comment = c(ORCID = "0000-0002-5249-321X"))
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: pandoc
VignetteBuilder: knitr
Imports: bookdown, rmarkdown, usethis
Suggests: knitr, pkgdown, rmdformats, testthat
NeedsCompilation: no
Packaged: 2021-05-10 14:09:21 UTC; emarc
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>
Repository: CRAN
Date/Publication: 2021-05-11 14:20:03 UTC

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New package academictwitteR with initial version 0.1.0
Package: academictwitteR
Title: Access the Twitter Academic Research Product Track V2 API Endpoint
Version: 0.1.0
Authors@R: c(person(given = "Christopher", family = "Barrie", role = c("aut", "cre"), email = "christopher.barrie@ed.ac.uk", comment = c(ORCID = "0000-0002-9156-990X")), person(given = "Justin Chun-ting", family = "Ho", role = c("aut"), email = "justin.chunting.ho@sciencespo.fr", comment = c(ORCID = "0000-0002-7884-1059")))
Description: Package to query the Twitter Academic Research Product Track (<https://developer.twitter.com/en/solutions/academic-research>), providing access to full-archive search and other v2 API endpoints. Functions are written with academic research in mind. They provide flexibility in how the user wishes to store collected data, and encourage regular storage of data to mitigate loss when collecting large volumes of tweets. They also provide workarounds to manage and reshape the format in which data is provided on the client side.
License: MIT + file LICENSE
URL: https://github.com/cjbarrie/academictwitteR
BugReports: https://github.com/cjbarrie/academictwitteR/issues
Encoding: UTF-8
Imports: dplyr, httr, jsonlite
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-10 15:59:00 UTC; cbarrie6
Author: Christopher Barrie [aut, cre] (<https://orcid.org/0000-0002-9156-990X>), Justin Chun-ting Ho [aut] (<https://orcid.org/0000-0002-7884-1059>)
Maintainer: Christopher Barrie <christopher.barrie@ed.ac.uk>
Repository: CRAN
Date/Publication: 2021-05-11 14:52:12 UTC

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Package survivoR updated to version 0.9.3 with previous version 0.9.2 dated 2021-04-06

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package Kernelheaping updated to version 2.2.8 with previous version 2.2.2 dated 2020-02-21

Title: Kernel Density Estimation for Heaped and Rounded Data
Description: In self-reported or anonymised data the user often encounters heaped data, i.e. data which are rounded (to a possibly different degree of coarseness). While this is mostly a minor problem in parametric density estimation the bias can be very large for non-parametric methods such as kernel density estimation. This package implements a partly Bayesian algorithm treating the true unknown values as additional parameters and estimates the rounding parameters to give a corrected kernel density estimate. It supports various standard bandwidth selection methods. Varying rounding probabilities (depending on the true value) and asymmetric rounding is estimable as well: Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>). Additionally, bivariate non-parametric density estimation for rounded data, Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>), as well as data aggregated on areas is supported.
Author: Marcus Gross [aut, cre], Kerstin Erfurth [ctb]
Maintainer: Marcus Gross <marcus.gross@inwt-statistics.de>

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Package apexcharter updated to version 0.2.0 with previous version 0.1.8 dated 2020-11-18

Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Juned Chhipa [cph] (apexcharts.js library), Mike Bostock [cph] (d3.format library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package textshaping updated to version 0.3.4 with previous version 0.3.3 dated 2021-03-16

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between textshaping versions 0.3.3 dated 2021-03-16 and 0.3.4 dated 2021-05-11

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Package systemfonts updated to version 1.0.2 with previous version 1.0.1 dated 2021-02-09

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Devon Govett [aut] (Author of font-manager), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package proceduralnames updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-07

Title: Several Methods for Procedural Name Generation
Description: A small, dependency-free way to generate random names. Methods provided include the adjective-surname approach of Docker containers ('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go'), and combinations of common English or Spanish words.
Author: Michael Mahoney [aut, cre] (<https://orcid.org/0000-0003-2402-304X>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between proceduralnames versions 0.1.1 dated 2021-01-07 and 0.1.2 dated 2021-05-11

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Package BiocManager updated to version 1.30.15 with previous version 1.30.14 dated 2021-05-10

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] (<https://orcid.org/0000-0002-5874-8148>), Marcel Ramos [ctb, cre] (<https://orcid.org/0000-0002-3242-0582>)
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

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Package SpATS updated to version 1.0-13 with previous version 1.0-12 dated 2021-02-26

Title: Spatial Analysis of Field Trials with Splines
Description: Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Author: Maria Xose Rodriguez-Alvarez [aut, cre], Martin Boer [aut], Paul Eilers [aut], Fred van Eeuwijk [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@bcamath.org>

Diff between SpATS versions 1.0-12 dated 2021-02-26 and 1.0-13 dated 2021-05-11

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New package tabula with initial version 1.6.0
Package: tabula
Title: Analysis, Seriation and Visualization of Archaeological Count Data
Version: 1.6.0
Authors@R: c(person(given = "Nicolas", family = "Frerebeau", role = c("aut", "cre"), email = "nicolas.frerebeau@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-5759-4944")), person(given = "Brice", family = "Lebrun", role = "ctb", email = "brice.lebrun@u-bordeaux-montaigne.fr", comment = c(ORCID = "0000-0001-7503-8685")), person(given = "Matthew", family = "Peeples", role = "ctb", email = "matthew.peeples@asu.edu", comment = c(ORCID = "0000-0003-4496-623X")), person(given = "Ben", family = "Marwick", role = "ctb", email = "bmarwick@uw.edu", comment = c(ORCID = "0000-0001-7879-4531")), person(given = "Anne", family = "Philippe", role = "ctb", email = "anne.philippe@univ-nantes.fr", comment = c(ORCID = "0000-0002-5331-5087")), person(given = "Jean-Baptiste", family = "Fourvel", role = "ctb", email = "fourvel@mmsh.univ-aix.fr", comment = c(ORCID = "0000-0002-1061-4642")))
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: An easy way to examine archaeological count data. This package provides a convenient and reproducible toolkit for relative and absolute dating and analysis of (chronological) patterns. It includes functions for matrix seriation (reciprocal ranking, CA-based seriation), chronological modeling and dating of archaeological assemblages and/or objects. Beyond these, the package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
License: GPL-3
URL: https://tabula.tesselle.org, https://github.com/tesselle/tabula
BugReports: https://github.com/tesselle/tabula/issues
Depends: R (>= 3.3)
Imports: arkhe (>= 0.3.0), dimensio, ggplot2, grDevices, methods, rlang, stats, utils
Suggests: covr, folio, khroma, knitr, magrittr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
Collate: 'AllClasses.R' 'AllGenerics.R' 'coerce.R' 'date_event.R' 'date_mcd.R' 'deprecate.R' 'ggplot2.R' 'index_diversity.R' 'index_heterogeneity.R' 'index_rarefaction.R' 'index_richness.R' 'index_similarity.R' 'index_turnover.R' 'initialize.R' 'mutators.R' 'permute.R' 'plot_bertin.R' 'plot_date.R' 'plot_diversity.R' 'plot_ford.R' 'plot_heatmap.R' 'plot_rank.R' 'plot_spot.R' 'plot_time.R' 'reexport.R' 'refine_ca.R' 'refine_event.R' 'seriate_average.R' 'seriate_rank.R' 'show.R' 'statistics.R' 'subset.R' 'tabula-package.R' 'test_diversity.R' 'test_fit.R' 'utilities.R' 'validate.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2021-05-04 14:03:39 UTC; nicolas
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Matthew Peeples [ctb] (<https://orcid.org/0000-0003-4496-623X>), Ben Marwick [ctb] (<https://orcid.org/0000-0001-7879-4531>), Anne Philippe [ctb] (<https://orcid.org/0000-0002-5331-5087>), Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>)
Repository: CRAN
Date/Publication: 2021-05-11 11:40:02 UTC

More information about tabula at CRAN
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Package shinyMatrix updated to version 0.5.0 with previous version 0.4.0 dated 2020-10-05

Title: Shiny Matrix Input Field
Description: Implements a custom matrix input field.
Author: Andreas Neudecker
Maintainer: Andreas Neudecker <andreas.neudecker@inwt-statistics.de>

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Package pensim updated to version 1.3.3 with previous version 1.3.2 dated 2020-04-20

Title: Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression
Description: Simulation of continuous, correlated high-dimensional data with time to event or binary response, and parallelized functions for Lasso, Ridge, and Elastic Net penalized regression with repeated starts and two-dimensional tuning of the Elastic Net.
Author: Levi Waldron <lwaldron.research@gmail.com>
Maintainer: Levi Waldron <lwaldron.research@gmail.com>

Diff between pensim versions 1.3.2 dated 2020-04-20 and 1.3.3 dated 2021-05-11

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Package corrplot updated to version 0.88 with previous version 0.87 dated 2021-05-08

Title: Visualization of a Correlation Matrix
Description: A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
Author: Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb], Moritz Freidank [ctb], Jun Cai [ctb], Tomas Protivinsky [ctb]
Maintainer: Taiyun Wei <weitaiyun@gmail.com>

Diff between corrplot versions 0.87 dated 2021-05-08 and 0.88 dated 2021-05-11

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Package clam updated to version 2.3.9 with previous version 2.3.8 dated 2021-01-23

Title: Classical Age-Depth Modelling of Cores from Deposits
Description: Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010). <doi:10.1016/j.quageo.2010.01.002>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [ctb], Judith Esquivel Vazquez [ctb], Simon Goring [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between clam versions 2.3.8 dated 2021-01-23 and 2.3.9 dated 2021-05-11

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Package bmixture updated to version 1.7 with previous version 1.6 dated 2020-05-26

Title: Bayesian Estimation for Finite Mixture of Distributions
Description: Provides statistical tools for Bayesian estimation of mixture distributions, mainly a mixture of Gamma, Normal, and t-distributions. The package is implemented based on the Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <doi:10.1080/03610918.2011.588358>.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>)
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between bmixture versions 1.6 dated 2020-05-26 and 1.7 dated 2021-05-11

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Package IRkernel updated to version 1.2 with previous version 1.1.1 dated 2020-07-20

Title: Native R Kernel for the 'Jupyter Notebook'
Description: The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
Author: Thomas Kluyver [aut, cph], Philipp Angerer [aut, cph, cre] (<https://orcid.org/0000-0002-0369-2888>), Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

Diff between IRkernel versions 1.1.1 dated 2020-07-20 and 1.2 dated 2021-05-11

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New package vsd with initial version 0.1.0
Package: vsd
Title: Graphical Shim for Visual Survival Data Analysis
Version: 0.1.0
Authors@R: c(person(given = "Daniel", family = "Camacho", role = c("aut", "cre"), email = "2016711@student.uma.pt", comment = c(ORCID = "0000-0002-4980-9391")), person(given = "Ana", family = "Abreu", role = c("aut", "ths"), email = "abreu@staff.uma.pt", comment = c(ORCID = "0000-0002-6155-8492")))
Description: Provides a shim command for survival analysis graphic generation.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: survival, ggplot2
Imports: dplyr, survminer, flexsurv, magrittr, ggpubr, muhaz
Suggests: plotly
Language: en-US
Collate: 'options.R' 'plot_forest.R' 'plot_hazard.R' 'plot_parametric.R' 'util.R' 'vsd-package.R' 'vsd.R'
NeedsCompilation: no
Packaged: 2021-05-10 11:15:14 UTC; dusty
Author: Daniel Camacho [aut, cre] (<https://orcid.org/0000-0002-4980-9391>), Ana Abreu [aut, ths] (<https://orcid.org/0000-0002-6155-8492>)
Maintainer: Daniel Camacho <2016711@student.uma.pt>
Repository: CRAN
Date/Publication: 2021-05-11 09:40:02 UTC

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New package ssimparser with initial version 0.1.0
Package: ssimparser
Title: Standard Schedules Information Parser
Version: 0.1.0
Author: Sebastien Thonnard
Maintainer: Sebastien Thonnard <sebastien.thonnard@icloud.com>
Description: Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: tidyr, dplyr, stringr, airportr, magrittr
NeedsCompilation: no
Packaged: 2021-05-02 16:58:55 UTC; sebastienthonnard
Repository: CRAN
Date/Publication: 2021-05-11 09:10:02 UTC

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New package snap with initial version 1.0.0
Package: snap
Title: Simple Neural Application
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: keras, tensorflow, dplyr, purrr, forcats, tictoc, readr, ggplot2, CORElearn, dbscan, stringr, reticulate
URL: https://keras.rstudio.com, https://rdrr.io/cran/dbscan/man/lof.html, https://www.rdocumentation.org/packages/CORElearn/versions/1.56.0/topics/attrEval
NeedsCompilation: no
Packaged: 2021-05-10 06:18:55 UTC; gvercellino
Repository: CRAN
Date/Publication: 2021-05-11 09:40:05 UTC

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New package rtrend with initial version 0.1.0
Package: rtrend
Title: Trend Estimating Tools
Description: The traditional linear regression trend, Modified Mann-Kendall (MK) non-parameter trend and bootstrap trend are included in this package. Linear regression trend is rewritten by '.lm.fit'. MK trend is rewritten by 'Rcpp'. Finally, those functions are about 10 times faster than previous version in R. Reference: Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for autocorrelated data. Journal of hydrology, 204(1-4), 182-196. <doi:10.1016/S0022-1694(97)00125-X>.
Version: 0.1.0
Authors@R: c( person("Dongdong", "Kong", role = c("aut", "cre"), email = "kongdd.sysu@gmail.com", comment = c(ORCID = "0000-0003-1836-8172")))
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, fftwtools, boot, magrittr, matrixStats, ggplot2
Suggests: covr, testthat (>= 3.0.0)
URL: https://github.com/rpkgs/rtrend
BugReports: https://github.com/rpkgs/rtrend/issues
NeedsCompilation: yes
Packaged: 2021-05-09 13:28:50 UTC; kongdd
Author: Dongdong Kong [aut, cre] (<https://orcid.org/0000-0003-1836-8172>)
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 09:00:02 UTC

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Package quanteda.textstats updated to version 0.94.1 with previous version 0.94 dated 2021-04-06

Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Jiong Wei Lua [aut], Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda.textstats versions 0.94 dated 2021-04-06 and 0.94.1 dated 2021-05-11

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New package nsdr with initial version 0.1.0
Package: nsdr
Title: Nonlinear Sufficient Dimension Reduction
Version: 0.1.0
Authors@R: c(person(given = "Bing", family = "Li", role = "aut"), person(given = "Kyongwon", family = "Kim", role = c("aut", "cre"), email = "kimk@ewha.ac.kr"))
Description: Provides tools to implement both unsupervised and supervised nonlinear dimension reduction methods. Principal Component Analysis (PCA), Sliced Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE) are useful methods to reduce the dimensionality of covariates. However, they produce linear combinations of covariates. Kernel PCA, generalized SIR, and generalized SAVE address this problem by extending the applicability of the dimension reduction problem to nonlinear settings. This package includes a comprehensive algorithm for kernel PCA, generalized SIR, and generalized SAVE, including methods for choosing tuning parameters and some essential functions. The algorithms for this package is from Li (2018, ISBN:9780367734725).
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-05-09 22:10:57 UTC; kyongwon
Author: Bing Li [aut], Kyongwon Kim [aut, cre]
Maintainer: Kyongwon Kim <kimk@ewha.ac.kr>
Repository: CRAN
Date/Publication: 2021-05-11 09:30:02 UTC

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Package mailmerge updated to version 0.2.1 with previous version 0.2.0 dated 2021-04-12

Title: Mail Merge Using R Markdown Documents and 'gmailr'
Description: Mail merge using markdown documents and gmail. With this package you can parse markdown documents as the body of email, and the 'yaml' header to specify the subject line of the email. Any '{}' braces in the email will be encoded with 'glue::glue()'. You can preview the email in the RStudio viewer pane, and send (draft) email using 'gmailr'.
Author: Andrie de Vries [aut, cre]
Maintainer: Andrie de Vries <apdevries@gmail.com>

Diff between mailmerge versions 0.2.0 dated 2021-04-12 and 0.2.1 dated 2021-05-11

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New package MTE with initial version 1.0.1
Package: MTE
Title: Maximum Tangent Likelihood Estimation for Linear Regression
Version: 1.0.1
Authors@R: c(person("Shaobo", "Li", email="shaobo.li@ku.edu", role=c("aut", "cre")), person("Yichen", "Qin", email="qinyn@ucmail.uc.edu", role=c("aut")))
Maintainer: Shaobo Li <shaobo.li@ku.edu>
Description: Several robust estimators for linear regression and variable selection are provided. Included are Maximum tangent likelihood estimator (Qin, et al., 2017), least absolute deviance estimator and Huber regression. The penalized version of each of these estimator incorporates L1 penalty function, i.e., LASSO and Adaptive Lasso. They are able to produce consistent estimates for both fixed and high-dimensional settings.
URL: GitHub: https://github.com/shaobo-li/MTE
Depends: R (>= 3.1.0)
License: GPL-3
Imports: stats, quantreg, glmnet
NeedsCompilation: no
Packaged: 2021-05-09 17:29:49 UTC; lisha
Author: Shaobo Li [aut, cre], Yichen Qin [aut]
Repository: CRAN
Date/Publication: 2021-05-11 09:12:14 UTC

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Package leaflet.minicharts updated to version 0.6.2 with previous version 0.6.0 dated 2019-11-27

Title: Mini Charts for Interactive Maps
Description: Add and modify small charts on an interactive map created with package 'leaflet'. These charts can be used to represent at same time multiple variables on a single map.
Author: Veronique Bachelier [aut, cre], Jalal-Edine ZAWAM [aut], Benoit Thieurmel [aut], Francois Guillem [aut], RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>

Diff between leaflet.minicharts versions 0.6.0 dated 2019-11-27 and 0.6.2 dated 2021-05-11

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New package highMLR with initial version 0.1.0
Title: Feature Selection for High Dimensional Survival Data
Package: highMLR
Version: 0.1.0
Date: 2021-05-08
Depends: R (>= 3.5.0)
Imports: mlr3, mlr3proba, mlr3learners, survival, gtools, tibble, dplyr, utils, coxme, missForest
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Gajendra"), "K. Vishwakarma", role=c("aut","ctb")), person(("Souvik"),"Banerjee", role=c("aut","ctb")))
Description: Perform high dimensional Feature Selection in the presence of survival outcome. Based on Feature Selection method and different survival analysis, it will obtain the best markers with optimal threshold levels according to their effect on disease progression and produce the most consistent level according to those threshold values. The functions' methodology is based on by Sonabend et al (2021) <doi:10.1093/bioinformatics/btab039> and Bhattacharjee et al (2021) <arXiv:2012.02102>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-05-10 10:45:29 UTC; Atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra K. Vishwakarma [aut, ctb], Souvik Banerjee [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-11 09:40:08 UTC

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Package dynRB updated to version 0.16 with previous version 0.15 dated 2018-12-18

Title: Dynamic Range Boxes
Description: Improves the concept of multivariate range boxes, which is highly susceptible for outliers and does not consider the distribution of the data. The package uses dynamic range boxes to overcome these problems.
Author: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>, Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>, Robert R. Junker <Robert.Junker@sbg.ac.at>, Jonas Kuppler <Jonas.Kuppler@uni-duesseldorf.de>, Arne Bathke <Arne.Bathke@sbg.ac.at>, Judith H. Parkinson <judith.parkinson@sbg.ac.at>, Raoul Kutil <Raoul_Hugo.Kutil@stud.sbg.ac.at>
Maintainer: Florian Griessenberger <florian.griessenberger@sbg.ac.at>

Diff between dynRB versions 0.15 dated 2018-12-18 and 0.16 dated 2021-05-11

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Package ChaosGame updated to version 1.1 with previous version 1.0 dated 2021-03-01

Title: Chaos Game
Description: The main objective of the package is to enter a word of at least two letters based on which an Iterated Function System with Probabilities is constructed, and a two-dimensional fractal containing the chosen word infinitely often is generated via the Chaos Game. Additionally, the package allows to project the two-dimensional fractal on several three-dimensional surfaces and to transform the fractal into another fractal with uniform marginals.
Author: Florian Griessenberger [aut, cre], Manuela Schreyer [aut], Johannes Bartel [aut], Wolfgang Trutschnig [aut]
Maintainer: Florian Griessenberger <florian.griessenberger@sbg.ac.at>

Diff between ChaosGame versions 1.0 dated 2021-03-01 and 1.1 dated 2021-05-11

 DESCRIPTION |   11 +++++------
 MD5         |    4 ++--
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 3 files changed, 14 insertions(+), 9 deletions(-)

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New package bumblebee with initial version 0.1.0
Package: bumblebee
Title: Quantify Disease Transmission Within and Between Population Groups
Version: 0.1.0
Authors@R: c( person("Lerato E", "Magosi", email = "lmagosi@hsph.harvard.edu", role = "aut", comment = c(ORCID = "0000-0002-3388-9892")), person("Marc", "Lipsitch", email = "mlipsitc@hsph.harvard.edu", role = "aut"), person("Lerato E", "Magosi", email = "magosil86@gmail.com", role = "cre"))
Description: A simple tool to quantify the amount of transmission of an infectious disease of interest occurring within and between population groups. 'bumblebee' uses counts of observed directed transmission pairs, identified phylogenetically from deep-sequence data or from epidemiological contacts, to quantify transmission flows within and between population groups accounting for sampling heterogeneity. Population groups might include: geographical areas (e.g. communities, regions), demographic groups (e.g. age, gender) or arms of a randomized clinical trial. See the 'bumblebee' website for statistical theory, documentation and examples <https://magosil86.github.io/bumblebee/>.
License: MIT + file LICENSE
URL: https://magosil86.github.io/bumblebee/
BugReports: https://github.com/magosil86/bumblebee/issues
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr (>= 1.0.2), gtools (>= 3.8.2), Hmisc (>= 4.4-2), magrittr (>= 2.0.1), rmarkdown (>= 2.6)
Suggests: covr (>= 3.5.1), knitr (>= 1.30), markdown (>= 1.1), testthat (>= 3.0.1)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-10 11:16:58 UTC; lmagosi
Author: Lerato E Magosi [aut] (<https://orcid.org/0000-0002-3388-9892>), Marc Lipsitch [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 09:42:19 UTC

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Package proxyC updated to version 0.2.0 with previous version 0.1.5 dated 2019-07-21

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] (<https://orcid.org/0000-0001-6519-5265>), Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between proxyC versions 0.1.5 dated 2019-07-21 and 0.2.0 dated 2021-05-11

 DESCRIPTION                 |   20 +++---
 MD5                         |   24 +++----
 NEWS.md                     |   40 ++++++++----
 R/RcppExports.R             |    4 -
 R/proxy.R                   |   50 +++++++++------
 man/colSds.Rd               |    4 -
 man/simil.Rd                |   48 +++++++++++---
 src/RcppExports.cpp         |   10 +--
 src/linear.cpp              |    7 +-
 src/pair.cpp                |  142 ++++++++++++++++++++++++++------------------
 tests/testthat/test-dist.R  |   88 ++++++++++++++++++++-------
 tests/testthat/test-proxy.R |   95 +++++++++++++++++++----------
 tests/testthat/test-simil.R |   23 +++----
 13 files changed, 357 insertions(+), 198 deletions(-)

More information about proxyC at CRAN
Permanent link

Package dm updated to version 0.2.1 with previous version 0.2.0 dated 2021-05-03

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between dm versions 0.2.0 dated 2021-05-03 and 0.2.1 dated 2021-05-11

 dm-0.2.0/dm/man/dm_get_fk.Rd                                    |only
 dm-0.2.1/dm/DESCRIPTION                                         |   16 
 dm-0.2.1/dm/MD5                                                 |  271 +++---
 dm-0.2.1/dm/NAMESPACE                                           |   14 
 dm-0.2.1/dm/NEWS.md                                             |   25 
 dm-0.2.1/dm/R/aaa-dbplyr.R                                      |    2 
 dm-0.2.1/dm/R/aaa-dplyr.R                                       |    2 
 dm-0.2.1/dm/R/add-tbl.R                                         |   24 
 dm-0.2.1/dm/R/bind.R                                            |    2 
 dm-0.2.1/dm/R/data-model-helpers.R                              |    3 
 dm-0.2.1/dm/R/datamodelr-code.R                                 |    5 
 dm-0.2.1/dm/R/db-helpers.R                                      |   49 -
 dm-0.2.1/dm/R/db-interface.R                                    |    3 
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 dm-0.2.1/dm/R/dm-from-src.R                                     |    1 
 dm-0.2.1/dm/R/dm.R                                              |  209 +----
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 dm-0.2.1/dm/R/dplyr.R                                           |   64 -
 dm-0.2.1/dm/R/draw-dm.R                                         |   34 
 dm-0.2.1/dm/R/error-helpers.R                                   |   17 
 dm-0.2.1/dm/R/examine-constraints.R                             |   14 
 dm-0.2.1/dm/R/filter-dm.R                                       |   16 
 dm-0.2.1/dm/R/filter-helpers.R                                  |   17 
 dm-0.2.1/dm/R/flatten.R                                         |    6 
 dm-0.2.1/dm/R/foreign-keys.R                                    |  406 ++++++----
 dm-0.2.1/dm/R/global.R                                          |    6 
 dm-0.2.1/dm/R/graph.R                                           |    2 
 dm-0.2.1/dm/R/import.R                                          |    5 
 dm-0.2.1/dm/R/keys.R                                            |    2 
 dm-0.2.1/dm/R/learn.R                                           |   26 
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 dm-0.2.1/dm/R/nycflights13.R                                    |   25 
 dm-0.2.1/dm/R/paste.R                                           |   26 
 dm-0.2.1/dm/R/pkgdown.R                                         |    4 
 dm-0.2.1/dm/R/primary-keys.R                                    |  242 +++--
 dm-0.2.1/dm/R/ptype.R                                           |    2 
 dm-0.2.1/dm/R/rows-db.R                                         |    9 
 dm-0.2.1/dm/R/select-tbl.R                                      |    7 
 dm-0.2.1/dm/R/select.R                                          |    6 
 dm-0.2.1/dm/R/table-surgery.R                                   |    6 
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 dm-0.2.1/dm/R/tidyr.R                                           |    8 
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 dm-0.2.1/dm/R/zzz.R                                             |   17 
 dm-0.2.1/dm/demo/berlin.R                                       |    3 
 dm-0.2.1/dm/demo/nyc.R                                          |    6 
 dm-0.2.1/dm/demo/seattle.R                                      |    6 
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 dm-0.2.1/dm/inst/doc/howto-dm-copy.R                            |    5 
 dm-0.2.1/dm/inst/doc/howto-dm-copy.Rmd                          |    7 
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 dm-0.2.1/dm/inst/doc/howto-dm-df.html                           |    4 
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 dm-0.2.1/dm/inst/doc/tech-dm-filter.R                           |    3 
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 dm-0.2.1/dm/inst/doc/tech-dm-join.R                             |    3 
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 dm-0.2.1/dm/man/dm_enum_fk_candidates.Rd                        |    3 
 dm-0.2.1/dm/man/dm_get_all_fks.Rd                               |   22 
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 dm-0.2.1/dm/man/dm_has_fk.Rd                                    |   31 
 dm-0.2.1/dm/man/dm_has_pk.Rd                                    |    2 
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 dm-0.2.1/dm/tests/testthat/_snaps/dm.md                         |   34 
 dm-0.2.1/dm/tests/testthat/_snaps/dplyr.md                      |  389 +++++++++
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 dm-0.2.1/dm/tests/testthat/_snaps/draw-dm/dm-for-filter.svg     |only
 dm-0.2.1/dm/tests/testthat/_snaps/draw-dm/nycflight-dm-copy.svg |    4 
 dm-0.2.1/dm/tests/testthat/_snaps/error-helpers.md              |   11 
 dm-0.2.1/dm/tests/testthat/_snaps/examine-constraints.md        |    8 
 dm-0.2.1/dm/tests/testthat/_snaps/filter-dm.md                  |  208 +++++
 dm-0.2.1/dm/tests/testthat/_snaps/foreign-keys.md               |  210 ++++-
 dm-0.2.1/dm/tests/testthat/_snaps/paste.md                      |   48 -
 dm-0.2.1/dm/tests/testthat/_snaps/primary-keys.md               |  177 ++++
 dm-0.2.1/dm/tests/testthat/_snaps/rows-dm.md                    |  348 ++++----
 dm-0.2.1/dm/tests/testthat/_snaps/select-tbl.md                 |    4 
 dm-0.2.1/dm/tests/testthat/_snaps/select.md                     |   57 +
 dm-0.2.1/dm/tests/testthat/_snaps/tidyr.md                      |  196 ++++
 dm-0.2.1/dm/tests/testthat/_snaps/zoom.md                       |   74 +
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 dm-0.2.1/dm/tests/testthat/helper-expectations.R                |   15 
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 dm-0.2.1/dm/tests/testthat/helper-src.R                         |  140 +--
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 dm-0.2.1/dm/tests/testthat/test-error-helpers.R                 |    4 
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 dm-0.2.1/dm/tests/testthat/test-flatten.R                       |   21 
 dm-0.2.1/dm/tests/testthat/test-foreign-keys.R                  |  158 ++-
 dm-0.2.1/dm/tests/testthat/test-learn.R                         |   66 -
 dm-0.2.1/dm/tests/testthat/test-nest.R                          |   12 
 dm-0.2.1/dm/tests/testthat/test-paste.R                         |    5 
 dm-0.2.1/dm/tests/testthat/test-primary-keys.R                  |   98 +-
 dm-0.2.1/dm/tests/testthat/test-rows-db.R                       |    2 
 dm-0.2.1/dm/tests/testthat/test-rows-dm.R                       |   36 
 dm-0.2.1/dm/tests/testthat/test-schema.R                        |    3 
 dm-0.2.1/dm/tests/testthat/test-select-tbl.R                    |    3 
 dm-0.2.1/dm/tests/testthat/test-select.R                        |  106 +-
 dm-0.2.1/dm/tests/testthat/test-table-surgery.R                 |    6 
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 143 files changed, 3836 insertions(+), 2661 deletions(-)

More information about dm at CRAN
Permanent link

New package tarchetypes with initial version 0.2.0
Package: tarchetypes
Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Version: 0.2.0
License: MIT + file LICENSE
URL: https://docs.ropensci.org/tarchetypes/, https://github.com/ropensci/tarchetypes
BugReports: https://github.com/ropensci/tarchetypes/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: digest (>= 0.6.25), fs (>= 1.4.2), rlang (>= 0.4.7), targets (>= 0.4.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.3.4), withr (>= 2.1.2)
Suggests: curl (>= 4.3), dplyr (>= 1.0.0), knitr (>= 1.28), rmarkdown (>= 2.1), testthat (>= 3.0.0), tibble (>= 3.0.4), xml2 (>= 1.3.2)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-05-04 01:41:47 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-11 07:20:02 UTC

More information about tarchetypes at CRAN
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Package InSilicoVA updated to version 1.3.1 with previous version 1.3.0 dated 2020-06-30

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Diff between InSilicoVA versions 1.3.0 dated 2020-06-30 and 1.3.1 dated 2021-05-11

 InSilicoVA-1.3.0/InSilicoVA/man/InsilicoVA-package.Rd     |only
 InSilicoVA-1.3.0/InSilicoVA/tests/testthat/warnings.txt   |only
 InSilicoVA-1.3.1/InSilicoVA/DESCRIPTION                   |   10 +-
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 InSilicoVA-1.3.1/InSilicoVA/R/diag.r                      |    9 +
 InSilicoVA-1.3.1/InSilicoVA/R/get_indiv.r                 |   23 ++--
 InSilicoVA-1.3.1/InSilicoVA/R/groupplot.r                 |    9 +
 InSilicoVA-1.3.1/InSilicoVA/R/indivplot.r                 |    9 +
 InSilicoVA-1.3.1/InSilicoVA/R/insilico_core.r             |    4 
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 InSilicoVA-1.3.1/InSilicoVA/R/insilico_train.r            |    2 
 InSilicoVA-1.3.1/InSilicoVA/R/plot.r                      |    9 +
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 InSilicoVA-1.3.1/InSilicoVA/R/print_insilico_summary.r    |    9 +
 InSilicoVA-1.3.1/InSilicoVA/R/report.r                    |    9 +
 InSilicoVA-1.3.1/InSilicoVA/man/csmf.diag.Rd              |   19 ++--
 InSilicoVA-1.3.1/InSilicoVA/man/extract.prob.Rd           |   11 +-
 InSilicoVA-1.3.1/InSilicoVA/man/get.indiv.Rd              |   19 ++--
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 InSilicoVA-1.3.1/InSilicoVA/man/insilico.train.Rd         |   57 ++++++++----
 InSilicoVA-1.3.1/InSilicoVA/man/physician_debias.Rd       |   12 ++
 InSilicoVA-1.3.1/InSilicoVA/man/plot.insilico.Rd          |   32 ++++--
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 InSilicoVA-1.3.1/InSilicoVA/man/stackplot.Rd              |   36 +++++--
 InSilicoVA-1.3.1/InSilicoVA/man/summary.insilico.Rd       |   19 ++--
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 30 files changed, 361 insertions(+), 191 deletions(-)

More information about InSilicoVA at CRAN
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Package fmsb updated to version 0.7.1 with previous version 0.7.0 dated 2019-12-15

Title: Functions for Medical Statistics Book with some Demographic Data
Description: Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Author: Minato Nakazawa <minato-nakazawa@umin.net>
Maintainer: Minato Nakazawa <minato-nakazawa@umin.net>

Diff between fmsb versions 0.7.0 dated 2019-12-15 and 0.7.1 dated 2021-05-11

 DESCRIPTION             |    8 +++----
 MD5                     |   37 +++++++++++++++++++-----------------
 NAMESPACE               |    3 +-
 NEWS                    |    6 +++++
 R/demogjpn.R            |   49 ++++++++++++++++++++++++++++--------------------
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 man/Jvital.Rd           |   30 ++++++++++++++---------------
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 21 files changed, 102 insertions(+), 92 deletions(-)

More information about fmsb at CRAN
Permanent link

New package ennet with initial version 0.2.2
Package: ennet
Title: Utilities to Extract and Analyse Text Data from the Emergency Nutrition Network Forum
Version: 0.2.2
Authors@R: person(given = "Ernest", family = "Guevarra", email = "ernest@guevarra.io", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4887-4415"))
Description: The Emergency Nutrition Network or en-net forum is the go to online forum for field practitioners requiring prompt technical advice for operational challenges for which answers are not readily accessible in current guidelines. The questions and the corresponding answers raised within en-net can provide insight into what the key topics of discussion are within the nutrition sector. This package provides utility functions for the extraction, processing and analysis of text data from the online forum.
License: GPL-3
Depends: R (>= 2.10)
Imports: magrittr, rvest, xml2, tibble, dplyr, stringr, lubridate, utils, tidyr
Suggests: knitr, rmarkdown, testthat, spelling
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://katilingban.io/ennet/, https://github.com/katilingban/ennet
BugReports: https://github.com/katilingban/ennet/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-09 16:46:54 UTC; ernestguevarra
Author: Ernest Guevarra [aut, cre] (<https://orcid.org/0000-0002-4887-4415>)
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2021-05-11 07:30:02 UTC

More information about ennet at CRAN
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Package bio3d updated to version 2.4-2 with previous version 2.4-1 dated 2020-01-21

Title: Biological Structure Analysis
Description: Utilities to process, organize and explore protein structure, sequence and dynamics data. Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data. In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data. Please refer to the URLs below for more information.
Author: Barry Grant [aut, cre], Xin-Qiu Yao [aut], Lars Skjaerven [aut], Julien Ide [aut]
Maintainer: Barry Grant <bjgrant@ucsd.edu>

Diff between bio3d versions 2.4-1 dated 2020-01-21 and 2.4-2 dated 2021-05-11

 DESCRIPTION                        |   13 
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 NAMESPACE                          |    6 
 R/aanma.pdbs.R                     |   49 --
 R/arg_filter.R                     |only
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 R/dm.R                             |   40 ++
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 R/pca.array.R                      |   22 +
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 R/plot.blast.R                     |    2 
 R/plot.cna.R                       |   37 ++
 R/plot.dccm.R                      |   29 +
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 R/read.dcd.R                       |   10 
 R/summary.cnapath.R                |   15 
 R/vmd.cna.R                        |   12 
 R/vmd.cnapath.R                    |   69 +++-
 README.md                          |   39 +-
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 man/aa.index.Rd                    |    4 
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 man/blast.pdb.Rd                   |    2 
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 man/dm.Rd                          |   12 
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Package spreadr updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-19

Title: Simulating Spreading Activation in a Network
Description: The notion of spreading activation is a prevalent metaphor in the cognitive sciences. This package provides the tools for cognitive scientists and psychologists to conduct computer simulations that implement spreading activation in a network representation. The algorithmic method implemented in 'spreadr' subroutines follows the approach described in Vitevitch, Ercal, and Adagarla (2011, Frontiers), who viewed activation as a fixed cognitive resource that could spread among nodes that were connected to each other via edges or connections (i.e., a network). See Vitevitch, M. S., Ercal, G., & Adagarla, B. (2011). Simulating retrieval from a highly clustered network: Implications for spoken word recognition. Frontiers in Psychology, 2, 369. <doi:10.3389/fpsyg.2011.00369> and Siew, C. S. Q. (2019). spreadr: A R package to simulate spreading activation in a network. Behavior Research Methods, 51, 910-929. <doi: 10.3758/s13428-018-1186-5>.
Author: Cynthia Siew [aut, cre], Dirk U. Wulff [ctb], Ning Yuan Lee [ctb]
Maintainer: Cynthia Siew <cynsiewsq@gmail.com>

Diff between spreadr versions 0.1.0 dated 2018-11-19 and 0.2.0 dated 2021-05-11

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Package maic updated to version 0.1.3 with previous version 0.1.2 dated 2020-04-30

Title: Matching-Adjusted Indirect Comparison
Description: A generalised workflow for generation of subject weights to be used in Matching-Adjusted Indirect Comparison (MAIC) per Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>, Signorovitch et al (2010) <doi:10.2165/11538370-000000000-00000>. In MAIC, unbiased comparison between outcomes of two trials is facilitated by weighting the subject-level outcomes of one trial with weights derived such that the weighted aggregate measures of the prognostic or effect modifying variables are equal to those of the sample in the comparator trial. The functions and classes included in this package wrap and abstract the process demonstrated in the UK National Institute for Health and Care Excellence Decision Support Unit (NICE DSU)'s example (Phillippo et al, (2016) [see URL]), providing a repeatable and easily specifiable workflow for producing multiple comparison variable sets against a variety of target studies, with preprocessing for a number of aggregate target forms (e.g. mean, median, domain limits).
Author: Rob Young [aut, cre]
Maintainer: Rob Young <rob.young@heor.co.uk>

Diff between maic versions 0.1.2 dated 2020-04-30 and 0.1.3 dated 2021-05-11

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Package viridis updated to version 0.6.1 with previous version 0.6.0 dated 2021-04-15

Title: Colorblind-Friendly Color Maps for R
Description: Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at <https://cran.r-project.org/package=viridisLite>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cédric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

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Package RxODE updated to version 1.0.9 with previous version 1.0.8 dated 2021-04-10

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Awad H. Al-Mohy [ctb], Matt Dowle [ctb], Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Arun Srinivasan [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Goro Fuji [ctb], Hadley Wickham [ctb], Jack Dongarra [ctb], Linda Petzold [ctb], Martin Maechler [ctb], Matteo Fasiolo [ctb], Morwenn [ctb], Nicholas J. Higham [ctb], Roger B. Sidje [ctb], Simon Frost [ctb], Kevin Ushey [ctb], Yu Feng [ctb]
Maintainer: Wenping Wang <wwang8198@gmail.com>

Diff between RxODE versions 1.0.8 dated 2021-04-10 and 1.0.9 dated 2021-05-11

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More information about RxODE at CRAN
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Package ggplotify updated to version 0.0.7 with previous version 0.0.6 dated 2021-04-22

Title: Convert Plot to 'grob' or 'ggplot' Object
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'ComplexHeatmap', 'eulerr', 'grid', 'lattice', 'magick', 'pheatmap', 'vcd' etc. by converting them to 'ggplot' objects.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggplotify versions 0.0.6 dated 2021-04-22 and 0.0.7 dated 2021-05-11

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Package brranching updated to version 0.7.0 with previous version 0.6.0 dated 2020-06-12

Title: Fetch 'Phylogenies' from Many Sources
Description: Includes methods for fetching 'phylogenies' from a variety of sources, including the 'Phylomatic' web service (<http://phylodiversity.net/phylomatic/>), and 'Phylocom' (<https://github.com/phylocom/phylocom/>).
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package bold updated to version 1.2.0 with previous version 1.1.0 dated 2020-06-17

Title: Interface to Bold Systems API
Description: A programmatic interface to the Web Service methods provided by Bold Systems (<http://www.boldsystems.org/>) for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between bold versions 1.1.0 dated 2020-06-17 and 1.2.0 dated 2021-05-11

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Package netdiffuseR (with last version 1.22.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-05-07 1.22.0

Permanent link
Package rTLS (with last version 0.2.3.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-26 0.2.3.3

Permanent link
Package wpa updated to version 1.5.0 with previous version 1.4.3 dated 2021-04-06

Title: Tools for Analysing and Visualising Workplace Analytics Data
Description: Opinionated functions that enable easier and faster analysis of Workplace Analytics data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Workplace Analytics metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Workplace Analytics data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Ellen Trinklein [ctb], Microsoft Corporation [cph]
Maintainer: Martin Chan <martin.chan@microsoft.com>

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Package erah updated to version 1.1.2 with previous version 1.1.1 dated 2020-07-06

Title: Automated Spectral Deconvolution, Alignment, and Metabolite Identification in GC/MS-Based Untargeted Metabolomics
Description: Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics. Outputs a table with compound names, matching scores and the integrated area of the compound for each sample. Package implementation is described in Domingo-Almenara et al. (2016) <doi:10.1021/acs.analchem.6b02927>.
Author: Xavier Domingo-Almenara [aut, cre, cph], Jasen P. Finch [ctb], Sara Samino [aut], Maria Vinaixa [aut], Alexandre Perera [aut, ths], Jesus Brezmes [aut, ths], Oscar Yanes [aut, ths]
Maintainer: Xavier Domingo-Almenara <xavier.domingoa@eurecat.org>

Diff between erah versions 1.1.1 dated 2020-07-06 and 1.1.2 dated 2021-05-11

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Mon, 10 May 2021

Package CPGLIB updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-10

Title: Competing Proximal Gradients Library
Description: Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package gitdown updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-10

Title: Turn Your Git Commit Messages into a HTML Book
Description: Read all commit messages of your local git repository and sort them according to tags or specific text pattern into chapters of a HTML book using 'bookdown'. The git history book presentation helps organisms required to testify for every changes in their source code, in relation to features requests.
Author: Sébastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph], Institut de Recherches Internationales Servier [spn]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>

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Package farff updated to version 1.1.1 with previous version 1.1 dated 2019-05-03

Title: A Faster 'ARFF' File Reader and Writer
Description: Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the 'WEKA' machine learning 'Java' toolbox. See <https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/> for further info on 'ARFF' and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'. 'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and it is at least a faster reader (for bigger files). It uses 'readr' as parser back-end for the data section of the 'ARFF' file. Consistency with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of 'ARFF' files from 'OpenML'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Bossek [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between farff versions 1.1 dated 2019-05-03 and 1.1.1 dated 2021-05-10

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Package aghq updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-18

Title: Adaptive Gauss Hermite Quadrature for Bayesian Inference
Description: Adaptive Gauss Hermite Quadrature for Bayesian inference. The AGHQ method for normalizing posterior distributions and making Bayesian inferences based on them. Functions are provided for doing quadrature and marginal Laplace approximations, and summary methods are provided for making inferences based on the results. See Stringer (2021). "Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package" <arXiv:2101.04468>.
Author: Alex Stringer
Maintainer: Alex Stringer <alex.stringer@mail.utoronto.ca>

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Package shinyfilter updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-02

Title: Use Interdependent Filters on Table Columns in Shiny Apps
Description: Allows to connect 'selectizeInputs' widgets as filters to a 'reactable' table. As known from spreadsheet applications, column filters are interdependent, so each filter only shows the values that are really available at the moment based on the current selection in other filters. Filter values currently not available (and also those being available) can be shown via popovers or tooltips.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

Diff between shinyfilter versions 0.1.0 dated 2020-12-02 and 0.1.1 dated 2021-05-10

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Package crandep updated to version 0.2.0 with previous version 0.1.1 dated 2020-09-12

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <arXiv:2008.03073>, of which functions are provided.
Author: Clement Lee [aut, cre] (<https://orcid.org/0000-0003-1785-8671>)
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package mrgsolve updated to version 0.11.1 with previous version 0.11.0 dated 2021-03-28

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] (<https://orcid.org/0000-0001-7252-5656>), Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Dilawar Singh [ctb], Felicien Le Louedec [ctb] (<https://orcid.org/0000-0003-3699-2729>), Timothy Waterhouse [ctb] (<https://orcid.org/0000-0002-0954-9660>), Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

Diff between mrgsolve versions 0.11.0 dated 2021-03-28 and 0.11.1 dated 2021-05-10

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Package Cubist updated to version 0.2.40 with previous version 0.2.3 dated 2020-01-10

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package codemetar updated to version 0.3.0 with previous version 0.1.9 dated 2020-07-18

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Anna Krystalli [rev, ctb] (<https://orcid.org/0000-0002-2378-4915>), Toph Allen [rev] (<https://orcid.org/0000-0003-4580-091X>), Maëlle Salmon [ctb, aut] (<https://orcid.org/0000-0002-2815-0399>), rOpenSci [fnd] (https://ropensci.org/), Katrin Leinweber [ctb] (<https://orcid.org/0000-0001-5135-5758>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Arfon Smith [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>), Michael Rustler [ctb] (<https://orcid.org/0000-0003-0647-7726>), Hauke Sonnenberg [ctb] (<https://orcid.org/0000-0001-9134-2871>), Sebastian Kreutzer [ctb] (<https://orcid.org/0000-0002-0734-2199>), Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package tesseract updated to version 4.1.1 with previous version 4.1 dated 2019-07-25

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract' <https://opensource.google/projects/tesseract>: a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package RSiena updated to version 1.3.0 with previous version 1.2-23 dated 2020-01-12

Title: Siena - Simulation Investigation for Empirical Network Analysis
Description: The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Tom A.B. Snijders (2017), Stochastic Actor-Oriented Models for Network Dynamics, Annual Review of Statistics and Its Application, 4, 343-363 <doi: 10.1146/annurev-statistics-060116-054035>. An extensive manual, scripts, and much further information is at the Siena website <http://www.stats.ox.ac.uk/~snijders/siena/>.
Author: Tom A.B. Snijders [cre, aut] (<https://orcid.org/0000-0003-3157-4157>), Ruth Ripley [aut], Christian Steglich [aut, ctb] (<https://orcid.org/0000-0002-9097-0873>), Johan Koskinen [aut, ctb] (<https://orcid.org/0000-0002-6860-325X>), Nynke Niezink [aut, ctb], Viviana Amati [aut, ctb] (<https://orcid.org/0000-0003-1190-1237>), Christoph Stadtfeld [ctb] (<https://orcid.org/0000-0002-2704-2134>), James Hollway [ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>), Per Block [ctb], Robert Krause [ctb], Charlotte Greenan [ctb], Josh Lospinoso [ctb], Michael Schweinberger [ctb] (<https://orcid.org/0000-0003-3649-5386>), Mark Huisman [ctb], Krists Boitmanis [ctr], Felix Schoenenberger [ctb], Mark Ortmann [ctb], Marion Hoffman [ctb], Robert Hellpap [ctb], Alvaro Uzaheta [ctb]
Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

Diff between RSiena versions 1.2-23 dated 2020-01-12 and 1.3.0 dated 2021-05-10

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 RSiena-1.3.0/RSiena/R/simstatsc.r                                                          |  356 
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 RSiena-1.3.0/RSiena/cleanup                                                                |   11 
 RSiena-1.3.0/RSiena/cleanup.win                                                            |   23 
 RSiena-1.3.0/RSiena/configure                                                              | 2144 ----
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Package rNeighborGWAS updated to version 1.2.4 with previous version 1.2.3 dated 2021-04-07

Title: Testing Neighbor Effects in Marker-Based Regressions
Description: To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Eiji Yamamoto [aut], Kentaro K. Shimizu [aut] (<https://orcid.org/0000-0002-6483-1781>), Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

Diff between rNeighborGWAS versions 1.2.3 dated 2021-04-07 and 1.2.4 dated 2021-05-10

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Package rijkspalette updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-07

Title: Create Colour Palettes Based on Famous Artworks from the Rijksmuseum
Description: Create colour palettes based on famous paintings. Using the function rijksPalette(), you can search for any painting in the collection of the Dutch Rijksmuseum and generate a colour palette from it. This package was developed using the fantastic Rijksmuseum API <https://www.rijksmuseum.nl/api>.
Author: Erik-Jan van Kesteren [aut, cre]
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>

Diff between rijkspalette versions 1.0.1 dated 2019-02-07 and 1.0.2 dated 2021-05-10

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Package purgeR updated to version 1.1 with previous version 1.0 dated 2021-04-30

Title: Inbreeding-Purging Estimation in Pedigreed Populations
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
Author: Eugenio López-Cortegano [aut, cre]
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>

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Package gluedown updated to version 1.0.4 with previous version 1.0.3 dated 2021-02-06

Title: Wrap Vectors in Markdown Formatting
Description: Ease the transition between R vectors and markdown text. With 'gluedown' and 'rmarkdown', users can create traditional vectors in R, glue those strings together with the markdown syntax, and print those formatted vectors directly to the document. This package primarily uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous CommonMark specification by John MacFarlane (2019) <https://spec.commonmark.org/>.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Package EMSS updated to version 1.1.0 with previous version 1.0.2 dated 2020-08-28

Title: Some EM-Type Estimation Methods for the Heckman Selection Model
Description: Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.
Author: Kexuan Yang <717260446@qq.com>, Sang Kyu Lee <leesa111@msu.edu>, Jun Zhao <zhaojun2021@hotmail.com>, and Hyoung-Moon Kim <hmk966a@gmail.com >
Maintainer: Sang Kyu Lee <leesa111@msu.edu>

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Package dga updated to version 2.0.1 with previous version 2.0.0 dated 2021-05-04

Title: Capture-Recapture Estimation using Bayesian Model Averaging
Description: Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.
Author: James Johndrow [aut], Kristian Lum [aut], Patrick Ball [aut], Olivier Binette [ctb, cre]
Maintainer: Olivier Binette <olivier.binette@gmail.com>

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Package bibliometrix updated to version 3.1.1 with previous version 3.0.4 dated 2021-01-19

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from 'SCOPUS' (<https://scopus.com>), 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package VancouvR updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-13

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package openCR updated to version 2.0.1 with previous version 1.5.0 dated 2020-12-13

Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package exactextractr updated to version 0.6.1 with previous version 0.6.0 dated 2021-04-17

Title: Fast Extraction from Raster Datasets using Polygons
Description: Provides a replacement for the 'extract' function from the 'raster' package that is suitable for extracting raster values using 'sf' polygons.
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

Diff between exactextractr versions 0.6.0 dated 2021-04-17 and 0.6.1 dated 2021-05-10

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New package goeveg with initial version 0.5.1
Package: goeveg
Title: Functions for Community Data and Ordinations
Version: 0.5.1
Date: 2021-05-10
Author: Friedemann Goral [aut, cre], Jenny Schellenberg [aut]
Maintainer: Friedemann Goral <fgoral@gwdg.de>
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress plots, species response curves and rank-abundance curves.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Imports: vegan, fields, mgcv, Hmisc
Suggests: vegdata, BiodiversityR, cluster
URL: https://github.com/fgoral/goeveg/
BugReports: https://github.com/fgoral/goeveg/issues
NeedsCompilation: no
Packaged: 2021-05-10 11:11:40 UTC; Friedemann Goral
Repository: CRAN
Date/Publication: 2021-05-10 14:50:02 UTC

More information about goeveg at CRAN
Permanent link

Package datasets.load updated to version 1.6.0 with previous version 1.4.0 dated 2020-04-27

Title: Interfaces for Loading Datasets
Description: Visual interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.
Author: Bastiaan quast [aut, cre]
Maintainer: Bastiaan quast <bquast@gmail.com>

Diff between datasets.load versions 1.4.0 dated 2020-04-27 and 1.6.0 dated 2021-05-10

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Package codename updated to version 0.2.0 with previous version 0.1.0 dated 2021-04-14

Title: Generation of Code Names for Organizations, People, Projects, and Whatever Else
Description: This creates code names that a user can consider for their organizations, their projects, themselves, people in their organizations or projects, or whatever else. The user can also supply a numeric seed (and even a character seed) for maximum reproducibility. Use is simple and the code names produced come in various types too, contingent on what the user may be desiring as a code name or nickname.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package bfast updated to version 1.6.1 with previous version 1.6.0 dated 2021-05-03

Title: Breaks for Additive Season and Trend
Description: Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different models can now be used to fit the time series data and detect structural changes (breaks).
Author: Jan Verbesselt [aut], Dainius Masiliunas [aut, cre] (<https://orcid.org/0000-0001-5654-1277>), Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mirt [ctb] (<https://orcid.org/0000-0003-3654-2090>), Paulo Negri Bernardino [ctb], Dongdong Kong [ctb] (<https://orcid.org/0000-0003-1836-8172>)
Maintainer: Dainius Masiliunas <pastas4@gmail.com>

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Package arrow updated to version 4.0.0.1 with previous version 4.0.0 dated 2021-04-27

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Jonathan Keane [aut], Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>

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Package RavenR updated to version 2.0.9 with previous version 2.0.1 dated 2020-11-19

Title: Raven Hydrological Modelling Framework R Support and Analysis
Description: Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into xts format, and support for writing Raven input files (rvt, rvh, rvc, etc.).
Author: Robert Chlumsky [cre, aut], James Craig [ctb], Genevieve Brown [ctb], Leland Scantlebury [ctb], Sarah Grass [ctb], Simon Lin [ctb]
Maintainer: Robert Chlumsky <rchlumsk@uwaterloo.ca>

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Package protti updated to version 0.1.1 with previous version 0.1.0 dated 2021-04-23

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre], Dina Schuster [aut], ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package narray updated to version 0.4.1.1 with previous version 0.4.1 dated 2018-08-18

Title: Subset- And Name-Aware Array Utility Functions
Description: Stacking arrays according to dimension names, subset-aware splitting and mapping of functions, intersecting along arbitrary dimensions, converting to and from data.frames, and many other helper functions.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package miscFuncs updated to version 1.5-1 with previous version 1.5 dated 2021-05-06

Title: Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering and Development Tools
Description: Implementing various things including functions for LaTeX tables, the Kalman filter, web scraping, development tools, relative risk and odds ratio.
Author: Benjamin M. Taylor
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

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Package good updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-06

Title: Good Regression
Description: Fit Good regression models to count data (Tur et al., 2021) <arXiv:2105.01557>. The package provides functions for model estimation and model prediction. Density, distribution function, quantile function and random generation for the Good distribution are also provided.
Author: Jordi Tur [aut, cre], David Moriña [ctb], Pere Puig [ctb], Argimiro Arratia [ctb], Alejandra Cabaña [ctb], Amanda Fernández-Fontelo [aut]
Maintainer: Jordi Tur <jjtur@crm.cat>

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Package evclust updated to version 2.0.1 with previous version 2.0.0 dated 2021-03-05

Title: Evidential Clustering
Description: Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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Package drimmR updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-22

Title: Estimation, Simulation and Reliability of Drifting Markov Models
Description: Performs the drifting Markov models (DMM) which are non-homogeneous Markov models designed for modeling the heterogeneities of sequences in a more flexible way than homogeneous Markov chains or even hidden Markov models. In this context, we developed an R package dedicated to the estimation, simulation and the exact computation of associated reliability of drifting Markov models. The implemented methods are described in Vergne, N. (2008), <doi:10.2202/1544-6115.1326> and Barbu, V.S., Vergne, N. (2019) <doi:10.1007/s11009-018-9682-8> .
Author: Vlad Stefan Barbu [aut], Geoffray Brelurut [ctb], Annthomy Gilles [ctb], Arnaud Lefebvre [ctb], Corentin Lothode [aut], Victor Mataigne [ctb], Alexandre Seiller [aut], Nicolas Vergne [aut, cre]
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

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Package cansim updated to version 0.3.7 with previous version 0.3.6 dated 2021-05-08

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package BFS updated to version 0.3.1 with previous version 0.3.0 dated 2021-03-23

Title: Search and Download Data from the Swiss Federal Statistical Office (BFS)
Description: Search and download data from the Swiss Federal Statistical Office <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package windsoraiR updated to version 0.1.2 with previous version 0.1.1 dated 2021-04-28

Title: Access the 'Windsor.ai' API
Description: Collect multichannel marketing data from sources such as Google analytics, Facebook Ads, and many others using the 'Windsor.ai' API <https://www.windsor.ai/api-fields/>.
Author: Novica Nakov [aut, cre], Windsor.ai [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

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Package statmod updated to version 1.4.36 with previous version 1.4.35 dated 2020-10-19

Title: Statistical Modeling
Description: A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families and a secure convergence algorithm.
Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth@wehi.edu.au>

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New package exoplanets with initial version 0.2.0
Package: exoplanets
Title: Access NASA's Exoplanet Archive Data
Version: 0.2.0
Authors@R: c( person("Tyler", "Littlefield", email = "tylerlittlefield@hey.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6020-1125")), person("Maëlle", "Salmon", role = c("ctb", "rev")))
Description: The goal of exoplanets is to provide access to NASA's Exoplanet Archive TAP Service. For more information regarding the API please read the documentation <https://exoplanetarchive.ipac.caltech.edu/index.html>.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/exoplanets/ (website) https://github.com/ropensci/exoplanets
BugReports: https://github.com/ropensci/exoplanets/issues
Depends: R (>= 2.10)
Imports: cli, httr, memoise, readr, tibble
Suggests: covr, dplyr, ggplot2, httptest, knitr, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-07 23:32:02 UTC; tlittlef
Author: Tyler Littlefield [aut, cre] (<https://orcid.org/0000-0002-6020-1125>), Maëlle Salmon [ctb, rev]
Maintainer: Tyler Littlefield <tylerlittlefield@hey.com>
Repository: CRAN
Date/Publication: 2021-05-10 10:30:02 UTC

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Package CohortPlat updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-25

Title: Simulation of Cohort Platform Trials for Combination Treatments
Description: A collection of functions dedicated to simulating staggered entry platform trials whereby the treatment under investigation is a combination of two active compounds. In order to obtain approval for this combination therapy, superiority of the combination over the two active compounds and superiority of the two active compounds over placebo need to be demonstrated. A more detailed description of the design can be found in Meyer et al. <arXiv:2103.09547>.
Author: Elias Laurin Meyer [aut, cre]
Maintainer: Elias Laurin Meyer <elias.meyer@meduniwien.ac.at>

Diff between CohortPlat versions 1.0.0 dated 2021-01-25 and 1.0.1 dated 2021-05-10

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 CohortPlat-1.0.1/CohortPlat/DESCRIPTION                                                                              |    9 
 CohortPlat-1.0.1/CohortPlat/MD5                                                                                      |  136 
 CohortPlat-1.0.1/CohortPlat/R/simulate_trial.R                                                                       |    4 
 CohortPlat-1.0.1/CohortPlat/build/vignette.rds                                                                       |binary
 CohortPlat-1.0.1/CohortPlat/inst/doc/my-vignette.html                                                                | 1484 ----------
 CohortPlat-1.0.1/CohortPlat/man/simulate_trial.Rd                                                                    |    4 
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More information about CohortPlat at CRAN
Permanent link

Package KFAS updated to version 1.4.5 with previous version 1.4.4 dated 2021-01-21

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between KFAS versions 1.4.4 dated 2021-01-21 and 1.4.5 dated 2021-05-10

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Package Taxonstand updated to version 2.4 with previous version 2.3 dated 2021-03-22

Title: Taxonomic Standardization of Plant Species Names
Description: Automated standardization of taxonomic names and removal of orthographic errors in plant species names using 'The Plant List' website (www.theplantlist.org).
Author: Luis Cayuela, Ildefonso Macarro, Anke Stein, Jari Oksanen
Maintainer: Luis Cayuela <luis.cayuela@urjc.es>

Diff between Taxonstand versions 2.3 dated 2021-03-22 and 2.4 dated 2021-05-10

 DESCRIPTION  |    8 ++++----
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Permanent link

New package TraceAssist with initial version 0.1.0
Package: TraceAssist
Title: Nonparametric Trace Regression via Sign Series Representation
Version: 0.1.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Lexin Li <lexinli@berkeley.edu>, Hao Helen Zhang <hzhang@math.arizona.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Description: Efficient method for fitting nonparametric matrix trace regression model. The detailed description can be found in C. Lee, L. Li, H. Zhang, and M. Wang (2021). Nonparametric Trace Regression via Sign Series Representation. <arXiv:2105.01783>. The method employs the aggregation of structured sign series for trace regression (ASSIST) algorithm.
URL: https://arxiv.org/abs/2105.01783
Imports: quadprog, Matrix, glmnet, keras
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 22:10:47 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2021-05-10 08:42:14 UTC

More information about TraceAssist at CRAN
Permanent link

Package stringi updated to version 1.6.1 with previous version 1.5.3 dated 2020-09-09

Title: Character String Processing Facilities
Description: A multitude of character string/text/natural language processing tools: pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Bartek Tartanus [ctb], and others (stringi source code); IBM, Unicode, Inc. and others (ICU4C source code, Unicode Character Database)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.5.3 dated 2020-09-09 and 1.6.1 dated 2021-05-10

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 225 files changed, 3598 insertions(+), 3006 deletions(-)

More information about stringi at CRAN
Permanent link

Package sen2r updated to version 1.4.4 with previous version 1.4.3 dated 2021-05-04

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

Diff between sen2r versions 1.4.3 dated 2021-05-04 and 1.4.4 dated 2021-05-10

 DESCRIPTION                               |    6 +-
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New package Rsfar with initial version 0.0.1
Package: Rsfar
Title: Seasonal Functional Autoregressive Models
Version: 0.0.1
Authors@R: c( person("Hossein", "Haghbin", email = "haghbinh@gmail.com", role = c("aut", "cre"),comment = c(ORCID = "0000-0001-8416-2354")), person("Rob", "Hyndman", email = "Rob.Hyndman@monash.edu", role = "aut") )
Description: This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.
License: GPL (>= 2)
URL: https://github.com/haghbinh/Rsfar
Encoding: UTF-8
LazyData: false
Depends: fda
NeedsCompilation: no
Packaged: 2021-05-07 20:27:35 UTC; Haghbin
Author: Hossein Haghbin [aut, cre] (<https://orcid.org/0000-0001-8416-2354>), Rob Hyndman [aut]
Maintainer: Hossein Haghbin <haghbinh@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:02:27 UTC

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New package qqboxplot with initial version 0.1.0
Package: qqboxplot
Title: Implementation of the Q-Q Boxplot
Version: 0.1.0
Authors@R: person(given = "Jordan", family = "Rodu", role = c("aut", "cre"), email = "jordan.rodu@gmail.com")
Description: A system to implement the Q-Q boxplot. It is implemented as an extension to 'ggplot2'. The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot and allows the user to rapidly examine summary statistics and tail behavior for multiple distributions in the same pane. As an extension of the 'ggplot2' implementation of the boxplot, possible modifications to the boxplot extend to the Q-Q boxplot.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, grid
Depends: R (>= 3.3)
Suggests: knitr, rmarkdown, dplyr, gridExtra, testthat (>= 3.0.0), vdiffr (>= 0.3.3), scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 19:07:30 UTC; jorda
Author: Jordan Rodu [aut, cre]
Maintainer: Jordan Rodu <jordan.rodu@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:02 UTC

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New package MAGEE with initial version 1.0.0
Package: MAGEE
Version: 1.0.0
Date: 2021-05-01
Title: Mixed Model Association Test for GEne-Environment Interaction
Authors@R: c(person("Xinyu", "Wang", role = c("aut", "cre"), email = "xinyu.wang@uth.tmc.edu"), person("Han", "Chen", role = "aut", email = "han.chen.2@uth.tmc.edu"), person("Duy", "Pham", role = "aut", email = "duy.t.pham@uth.tmc.edu"))
Description: Use a 'glmmkin' class object from the null generalized linear mixed-effect model (GLMM) to perform variant set-based main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
License: GPL-3
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, Matrix, parallel, MASS, SeqArray, SeqVarTools, foreach, GMMAT, CompQuadForm
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2021-05-08 17:14:01 UTC; xwang
Author: Xinyu Wang [aut, cre], Han Chen [aut], Duy Pham [aut]
Maintainer: Xinyu Wang <xinyu.wang@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 08:32:20 UTC

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New package loon.tourr with initial version 0.1.0
Package: loon.tourr
Title: Tour in 'Loon'
Version: 0.1.0
Date: 2021-05-06
Authors@R: c(person(given = "Zehao", family = "Xu", email = "z267xu@uwaterloo.ca", role = c("aut", "cre")), person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = "aut") )
Description: Implement tour algorithms in interactive graphical system 'loon'.
License: GPL-2
Depends: R (>= 3.4.0), tcltk, loon (> 1.3.1), tourr, methods,
Imports: stats, utils, grDevices, MASS, loon.ggplot
Suggests: class, RDRToolbox, magrittr, tidyverse, testthat, knitr, rmarkdown, markdown, covr
BugReports: https://github.com/z267xu/loon.tourr/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:51:05 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:06 UTC

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New package loon.shiny with initial version 0.1.0
Package: loon.shiny
Title: Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets
Version: 0.1.0
Authors@R: c( person('Zehao', 'Xu', email = 'z267xu@uwaterloo.ca', role = c('aut', 'cre')), person('R. Wayne', 'Oldford', email = 'rwoldford@uwaterloo.ca', role = c('aut')) )
Description: Package 'shiny' provides interactive web applications in R. Package 'loon' is an interactive toolkit engaged in open-ended, creative and unscripted data exploration. The 'loon.shiny' package can take 'loon' widgets and display a selfsame 'shiny' app.
License: GPL-2
Depends: R (>= 3.4.0), loon (>= 1.3.0), tcltk, methods, shiny
Imports: stats, grDevices, magrittr, grid, gridExtra, stringr, loon.ggplot (>= 1.1.0), colourpicker, base64enc
Suggests: dplyr, ggmulti, tools, testthat, knitr, rmarkdown, tidyverse, covr, png
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 02:18:53 UTC; Zehao
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:00:09 UTC

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New package HSEtest with initial version 0.1.0
Package: HSEtest
Title: Homogeneity of Stratum Effects Test
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: To test the homogeneity of stratum effects in stratified paired binary data.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 07:38:18 UTC; dgdzc
Repository: CRAN
Date/Publication: 2021-05-10 08:12:12 UTC

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New package goldilocks with initial version 0.3.0
Package: goldilocks
Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Version: 0.3.0
Authors@R: c( person(given = "Graeme L.", family = "Hickey", role = c("aut", "cre"), email = "graemeleehickey@gmail.com", comment = c(ORCID = "0000-0002-4989-0054")), person(given = "Ying", family = "Wan", role = "aut", email = "ying.wan@bd.com"), person(given = "Thevaa", family = "Chandereng", role = "aut", email = "tc3123@cumc.columbia.edu", comment = c(ORCID = "0000-0003-4078-9176", "bayesDP code as a template")), person(given = "Becton, Dickinson and Company", role = "cph"))
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0), survival
Imports: dplyr, fastlogranktest, parallel, pbmcapply, PWEALL, rlang, stats
Suggests: covr, testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-08 16:09:00 UTC; 10318048
Author: Graeme L. Hickey [aut, cre] (<https://orcid.org/0000-0002-4989-0054>), Ying Wan [aut], Thevaa Chandereng [aut] (<https://orcid.org/0000-0003-4078-9176>, bayesDP code as a template), Becton, Dickinson and Company [cph]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 08:20:11 UTC

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New package gitdown with initial version 0.1.1
Package: gitdown
Title: Turn Your Git Commit Messages into a HTML Book
Version: 0.1.1
Authors@R: c(person(given = "Sébastien", family = "Rochette", role = c("aut", "cre"), email = "sebastien@thinkr.fr", comment = c(ORCID = "0000-0002-1565-9313")), person(given = "Cervan", family = "Girard", role = "aut", email = "cervan@thinkr.fr", comment = c(ORCID = "0000-0002-4816-4624")), person(given = "ThinkR", role = "cph"), person(given = "Institut de Recherches Internationales Servier", role = "spn"))
Description: Read all commit messages of your local git repository and sort them according to tags or specific text pattern into chapters of a HTML book using 'bookdown'. The git history book presentation helps organisms required to testify for every changes in their source code, in relation to features requests.
License: MIT + file LICENSE
URL: https://thinkr-open.github.io/gitdown/, https://github.com/Thinkr-open/gitdown
BugReports: https://github.com/Thinkr-open/gitdown/issues
Depends: R (>= 3.4)
Imports: attempt, bookdown, dplyr, git2r (>= 0.26.0), knitr, magrittr, purrr, rmarkdown, stats, stringi, tidyr, utils
Suggests: testthat (>= 2.1.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-08 18:02:43 UTC; srochett
Author: Sébastien Rochette [aut, cre] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph], Institut de Recherches Internationales Servier [spn]
Maintainer: Sébastien Rochette <sebastien@thinkr.fr>
Repository: CRAN
Date/Publication: 2021-05-10 08:30:08 UTC

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Package geouy updated to version 0.2.4 with previous version 0.2.3 dated 2020-09-17

Title: Geographic Information of Uruguay
Description: The toolbox have functions to load and process geographic information for Uruguay. And extra-function to get address coordinates and orthophotos through the uruguayan 'IDE' API <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/servicio-direcciones-geograficas>.
Author: Richard Detomasi [aut, cre] (<https://orcid.org/0000-0002-6725-0261>), Ministerio de Desarrollo Social, Uruguay (MIDES) [dtc], Infraestrutura de Datos Espaciales, Uruguay (IDE) [dtc], Servicio Geográfico Militar, Uruguay (SGM) [dtc], Ministerio de Transporte y Obras Públicas, Uruguay (MTOP) [dtc], Instituto Nacional de Estadística, Uruguay (INE) [dtc], Instituto Geográfico Militar, Uruguay (IGM) [dtc], Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente, Uruguay (MVOTMA) [dtc]
Maintainer: Richard Detomasi <richard.detomasi@gmail.com>

Diff between geouy versions 0.2.3 dated 2020-09-17 and 0.2.4 dated 2021-05-10

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New package eventTrack with initial version 1.0.0
Package: eventTrack
Title: Event Prediction for Time-to-Event Endpoints
Version: 1.0.0
Date: 2021-05-07
Author: Kaspar Rufibach
Maintainer: Kaspar Rufibach <kaspar.rufibach@roche.com>
Depends: survival, muhaz, R (>= 3.5.0)
Suggests: knitr, rmarkdown, rpact, fitdistrplus, gestate
VignetteBuilder: knitr
Description: Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2021-05-07 18:51:33 UTC; rufiback
Repository: CRAN
Date/Publication: 2021-05-10 08:00:12 UTC

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New package diveR with initial version 0.1.1
Package: diveR
Title: Easily Install and Load Interactive Data Visualization Tools
Version: 0.1.1
Authors@R: c(person(given = "R. Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = c("aut", "cre")) )
Description: A suite of 'loon' related packages providing data analytic tools for Direct Interactive Visual Exploration in R ('diveR'). These tools work with and complement those of the 'tidyverse' suite, extending the grammar of 'ggplot2' to become a grammar of interactive graphics. The suite provides many visual tools designed for moderately (100s of variables) high dimensional data analysis, through 'zenplots' and novel tools in 'loon', and extends the 'ggplot2' grammar to provide parallel coordinates, Andrews plots, and arbitrary glyphs through 'ggmulti'. The 'diveR' package gathers together and installs all these related packages in a single step.
License: GPL-2
URL: https://github.com/great-northern-diver/diver/
BugReports: https://github.com/great-northern-diver/diver/issues
Depends: R (>= 3.4)
Imports: cli (>= 1.1.0), crayon (>= 1.3.4), rstudioapi (>= 0.10), loon (>= 1.2.2), loon.data, ggmulti, loon.ggplot (>= 1.1.0), zenplots
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-09 05:01:12 UTC; rwoldford
Author: R. Wayne Oldford [aut, cre]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-05-10 08:52:11 UTC

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New package autohd with initial version 0.1.0
Title: High Dimensional Bayesian Survival Mediation Analysis
Package: autohd
Version: 0.1.0
Date: 2021-04-30
Depends: R (>= 2.10)
Imports: broom,hdbm,Hmisc,ICBayes,icenReg,missForest,SurvRegCensCov,survival,schoolmath, tibble,Rdpack,rjags,usethis,coxme,mlr3
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Akash"), "Pawar", role=c("aut","ctb")))
Description: Perform mediation analysis for time to event high-dimensional data. Mediation Analysis proposed by Miocevic et al.(2017) <doi:10.1080/10705511.2017.1342541> as a statistical tool in the Bayesian framework. Time to event data analysis methods like Cox proportional hazard model, accelerated failure time model to work with high dimensional data with Bayesian approaches are provided. Missing data imputation techniques tool to work with high dimensional data coupled for mediation analysis by presented by the active mediator variables.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2021-05-08 07:27:30 UTC; atanu
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-10 08:02:24 UTC

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Package CEC (with last version 0.10.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-07-26 0.10.2

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Package visvow updated to version 1.3.1 with previous version 1.3.0 dated 2021-05-06

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 1.3.0 dated 2021-05-06 and 1.3.1 dated 2021-05-10

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Package SuperLearner updated to version 2.0-28 with previous version 2.0-26 dated 2019-12-10

Title: Super Learner Prediction
Description: Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
Author: Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Maintainer: Eric Polley <epolley@uchicago.edu>

Diff between SuperLearner versions 2.0-26 dated 2019-12-10 and 2.0-28 dated 2021-05-10

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 53 files changed, 799 insertions(+), 762 deletions(-)

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Package stokes updated to version 1.0-8 with previous version 1.0-7 dated 2021-04-27

Title: The Exterior Calculus
Description: Provides functionality for working with tensors, alternating tensors, wedge products, Stokes's theorem, and related concepts from the exterior calculus. Functionality for Grassman algebra is provided. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds".
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between stokes versions 1.0-7 dated 2021-04-27 and 1.0-8 dated 2021-05-10

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Package recmap updated to version 1.0.9 with previous version 1.0.7 dated 2020-02-20

Title: Compute the Rectangular Statistical Cartogram
Description: Provides an interface and a C++ implementation of the RecMap MP2 construction heuristic (Panse C. (2018) <doi:10.18637/jss.v086.c01>). This algorithm draws maps according to a given statistical value (e.g., election results, population or epidemiological data). The basic idea of the RecMap algorithm is that each map region (e.g., different countries) is represented by a rectangle. The area of each rectangle represents the statistical value given as input (maintain zero cartographic error). Documentation about the usage of the recmap algorithm is provided by a vignette included in this package.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>)
Maintainer: Christian Panse <Christian.Panse@gmail.com>

Diff between recmap versions 1.0.7 dated 2020-02-20 and 1.0.9 dated 2021-05-10

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Package parseRPDR updated to version 0.1.0 with previous version 0.0.2 dated 2021-04-16

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint. 'parseRPDR' currently supports txt sources: "mrn", "con", "dem", "enc", "rdt", "lab", "med", "dia", "rfv", "car", "dis", "end", "hnp", "opn", "pat", "prg", "pul", "rad" and "vis". All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

Diff between parseRPDR versions 0.0.2 dated 2021-04-16 and 0.1.0 dated 2021-05-10

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New package parsermd with initial version 0.1.0
Package: parsermd
Title: Formal Parser and Related Tools for R Markdown Documents
Version: 0.1.0
Authors@R: person(given = "Colin", family = "Rundel", role = c("aut", "cre"), email = "rundel@gmail.com")
Description: An implementation of a formal grammar and parser for R Markdown documents using the Boost Spirit X3 library. It also includes a collection of high level functions for working with the resulting abstract syntax tree.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: purrr, Rcpp, cli (>= 2.5.0), checkmate, readr, tidyr, dplyr, tibble, yaml, withr, rmarkdown, pillar, rlang, magrittr, tidyselect, lifecycle
SystemRequirements: C++14
LinkingTo: Rcpp, BH
Suggests: testthat (>= 3.0.0), knitr
VignetteBuilder: knitr
URL: https://github.com/rundel/parsermd
BugReports: https://github.com/rundel/parsermd/issues
NeedsCompilation: yes
Packaged: 2021-05-07 14:56:31 UTC; rundel
Author: Colin Rundel [aut, cre]
Maintainer: Colin Rundel <rundel@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:50:02 UTC

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New package nnspat with initial version 0.1.0
Package: nnspat
Title: Nearest Neighbor Methods for Spatial Patterns
Version: 0.1.0
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for testing the spatial patterns (of segregation, spatial symmetry, association, disease clustering, species correspondence and reflexivity) based on nearest neighbor relations, especially using contingency tables such as nearest neighbor contingency tables, nearest neighbor symmetry contingency tables, species correspondence contingency tables and reflexivity contingency tables for two (or higher) dimensional data. Also contains functions for generating patterns of segregation, association, uniformity in a multi-class setting, and various non-random labeling patterns for disease clustering in two dimensional cases, and for visualization of all these patterns for the two dimensional data. The tests are usually (asymptotic) normal z-tests and chi-square tests.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: MASS, stats, graphics, Rdpack (>= 0.7)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2021-05-07 02:55:43 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-05-10 07:30:02 UTC

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Package migraph updated to version 0.6.5 with previous version 0.6.3 dated 2021-04-26

Title: Multimodal and Multilevel Network Analysis
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 0.6.3 dated 2021-04-26 and 0.6.5 dated 2021-05-10

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New package mgss with initial version 1.2
Package: mgss
Title: A Matrix-Free Multigrid Preconditioner for Spline Smoothing
Version: 1.2
Authors@R: c( person("Martin", "Siebenborn", role = c("aut", "cre", "cph"), email = "martin.siebenborn@uni-hamburg.de"), person("Julian", "Wagner", role = c("aut", "cph"), email = "juwagn89@gmail.com") )
Description: Data smoothing with penalized splines is a popular method and is well established for one- or two-dimensional covariates. The extension to multiple covariates is straightforward but suffers from exponentially increasing memory requirements and computational complexity. This toolbox provides a matrix-free implementation of a conjugate gradient (CG) method for the regularized least squares problem resulting from tensor product B-spline smoothing with multivariate and scattered data. It further provides matrix-free preconditioned versions of the CG-algorithm where the user can choose between a simpler diagonal preconditioner and an advanced geometric multigrid preconditioner. The main advantage is that all algorithms are performed matrix-free and therefore require only a small amount of memory. For further detail see Siebenborn & Wagner (2021).
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.5), combinat (>= 0.0-8), statmod (>= 1.1), Matrix (>= 1.2)
LinkingTo: Rcpp
Encoding: UTF-8
Repository: CRAN
Suggests: testthat
BugReports: https://github.com/SplineSmoothing/MGSS
NeedsCompilation: yes
Packaged: 2021-05-07 13:43:38 UTC; martin
Author: Martin Siebenborn [aut, cre, cph], Julian Wagner [aut, cph]
Maintainer: Martin Siebenborn <martin.siebenborn@uni-hamburg.de>
Date/Publication: 2021-05-10 07:50:06 UTC

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New package madgrad with initial version 0.1.0
Package: madgrad
Title: 'MADGRAD' Method for Stochastic Optimization
Version: 0.1.0
Authors@R: c( person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")), person(family = "RStudio", role = c("cph")), person(family = "MADGRAD original implementation authors.", role = c("cph")) )
Description: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) <arxiv:2101.11075>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch (>= 0.3.0), rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-05-07 14:17:39 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], RStudio [cph], MADGRAD original implementation authors. [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:30:12 UTC

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Package loon updated to version 1.3.6 with previous version 1.3.5 dated 2021-05-06

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut], R. Wayne Oldford [aut, cre, ths], Zehao Xu [ctb], Martin Gauch [ctb]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between loon versions 1.3.5 dated 2021-05-06 and 1.3.6 dated 2021-05-10

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New package httk with initial version 2.0.4
Package: httk
Version: 2.0.4
Date: 2021-05-07
Title: High-Throughput Toxicokinetics
Description: Generic models and chemical-specific data for simulation and statistical analysis of chemical toxicokinetics ("TK") as described by Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models can be parameterized with the data provided for thousands of chemicals, multiple exposure routes, and various species. The models consist of systems of ordinary differential equations which are solved using compiled (C-based) code for speed. A Monte Carlo sampler is included, which allows for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Authors@R: c( person("John", "Wambaugh", email = "wambaugh.john@epa.gov", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4024-534X")), person("Robert", "Pearce", role = c("aut"), comment = c(ORCID = "0000-0003-3168-4049")), person("Caroline", "Ring", email = "cring@toxstrategies.com", role = c("aut"), comment = c(ORCID = "0000-0002-0463-1251")), person("Greg", "Honda", email = "honda.gregory@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0001-7713-9850")), person("Mark", "Sfeir", email = "sfeir.mark@epa.gov", role = c("aut")), person("Matt", "Linakis", email = "matthew.linakis.1@us.af.mil", role = c("aut"), comment = c(ORCID = "0000-0003-0526-2395")), person("Sarah", "Davidson", email = "davidson.sarah.e@epa.gov", role = c("aut"), comment = c(ORCID = "0000-0002-2891-9380")), person("Miyuki", "Breen", email = "breen.miyuki@epa.gov", role = c("ctb"), comment = c(ORCID= "0000-0001-8511-4653")), person("Shannon", "Bell", email="sbell@ils-inc.com", role = c("ctb")), person("Xiaoqing", "Chang", email="xchang@ils-inc.com", role = c("ctb"), comment = c(ORCID = "0000-0003-0752-1848")), person("Jimena", "Davis", role = c("ctb")), person("James", "Sluka", email = "jsluka@indiana.edu", role = c("ctb"), comment = c(ORCID = "0000-0002-5901-1404")), person("Nisha", "Sipes", email = "sipes.nisha@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0003-4203-6426")), person("Barbara", "Wetmore", email = "wetmore.barbara@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6878-5348")), person("Woodrow", "Setzer", email = "setzer.woodrow@epa.gov", role = c("ctb"), comment = c(ORCID = "0000-0002-6709-9186")) )
Depends: R (>= 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, graphics, utils, magrittr, purrr, methods
Suggests: ggplot2, knitr, rmarkdown, R.rsp, GGally, gplots, scales, EnvStats, MASS, RColorBrewer, TeachingDemos, classInt, ks, stringr, reshape, reshape2, gdata, viridis, CensRegMod, gmodels, colorspace, cowplot, ggrepel, dplyr, forcats, smatr, gtools, gridExtra, testthat
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
URL: https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
BugReports: https://github.com/USEPA/CompTox-ExpoCast-httk
NeedsCompilation: yes
Packaged: 2021-05-07 14:35:59 UTC; jwambaug
Author: John Wambaugh [aut, cre] (<https://orcid.org/0000-0002-4024-534X>), Robert Pearce [aut] (<https://orcid.org/0000-0003-3168-4049>), Caroline Ring [aut] (<https://orcid.org/0000-0002-0463-1251>), Greg Honda [aut] (<https://orcid.org/0000-0001-7713-9850>), Mark Sfeir [aut], Matt Linakis [aut] (<https://orcid.org/0000-0003-0526-2395>), Sarah Davidson [aut] (<https://orcid.org/0000-0002-2891-9380>), Miyuki Breen [ctb] (<https://orcid.org/0000-0001-8511-4653>), Shannon Bell [ctb], Xiaoqing Chang [ctb] (<https://orcid.org/0000-0003-0752-1848>), Jimena Davis [ctb], James Sluka [ctb] (<https://orcid.org/0000-0002-5901-1404>), Nisha Sipes [ctb] (<https://orcid.org/0000-0003-4203-6426>), Barbara Wetmore [ctb] (<https://orcid.org/0000-0002-6878-5348>), Woodrow Setzer [ctb] (<https://orcid.org/0000-0002-6709-9186>)
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Copyright: This package is primarily developed by employees of the U.S. Federal government as part of their official duties and is therefore public domain.
Repository: CRAN
Date/Publication: 2021-05-10 07:50:08 UTC

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Package ffscrapr updated to version 1.4.2 with previous version 1.4.1 dated 2021-04-18

Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and rate-limiting, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre], Tony ElHabr [ctb], Joe Sydlowski [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

Diff between ffscrapr versions 1.4.1 dated 2021-04-18 and 1.4.2 dated 2021-05-10

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New package crsuggest with initial version 0.3
Package: crsuggest
Title: Obtain Suggested Coordinate Reference System Information for Spatial Data
Version: 0.3
Date: 2021-05-07
Authors@R: c(person(given = "Kyle", family = "Walker", email="kyle@walker-data.com", role=c("aut", "cre")))
Description: Uses data from the 'EPSG' Registry to look up suitable coordinate reference system transformations for spatial datasets in R. Returns a data frame with 'CRS' codes that can be used for 'CRS' transformation and mapping projects. Please see the 'EPSG' Dataset Terms of Use at <https://epsg.org/terms-of-use.html> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: sf (>= 0.9), units, dplyr, purrr, mapview
Suggests: mapboxapi, tigris, tidycensus, ggplot2
Depends: R (>= 3.3)
NeedsCompilation: no
Packaged: 2021-05-07 14:45:29 UTC; kyle
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:11 UTC

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New package CPGLIB with initial version 1.0.0
Package: CPGLIB
Title: Competing Proximal Gradients Library
Version: 1.0.0
Date: 2021-05-05
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, vctrs, glmnet, mvnfast
NeedsCompilation: yes
Packaged: 2021-05-06 23:04:00 UTC; antho
Repository: CRAN
Date/Publication: 2021-05-10 07:12:24 UTC

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New package classmap with initial version 1.0.0
Package: classmap
Title: Visualizing Classification Results by Classmaps
Date: 2021-05-05
Version: 1.0.0
Authors@R: c( person(given="Jakob",family="Raymaekers", role = c("aut","cre"), email="jakob.raymaekers@kuleuven.be"), person(given="Peter",family="Rousseeuw", role = c("aut")) )
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Depends: R (>= 3.5.0)
Suggests: knitr, reshape2, svd,
Imports: stats, graphics, ggplot2, robustbase, e1071, cellWise, cluster, kernlab, gridExtra
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Tools to visualize the results of a classification obtained by discriminant analysis, k-nearest neighbors, and support vector machines, for two or more classes. Implements the techniques described and illustrated in Raymaekers, Rousseeuw and Hubert (2021), Class maps for visualizing classification results, Technometrics, to appear. In addition to class maps, also stacked plots are made. Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples" and "Support_vector_machine_examples".
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-07 16:01:15 UTC; u0105404
Repository: CRAN
Date/Publication: 2021-05-10 07:52:20 UTC

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Package BiocManager updated to version 1.30.14 with previous version 1.30.13 dated 2021-05-07

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] (<https://orcid.org/0000-0002-5874-8148>), Marcel Ramos [ctb, cre] (<https://orcid.org/0000-0002-3242-0582>)
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

Diff between BiocManager versions 1.30.13 dated 2021-05-07 and 1.30.14 dated 2021-05-10

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New package BayesPPD with initial version 1.0.0
Package: BayesPPD
Title: Bayesian Power Prior Design
Version: 1.0.0
Authors@R: c( person(given = "Yueqi", family = "Shen", role = c("cre"), email = "ys137@live.unc.edu"), person(given = "Matthew A.", family = "Psioda", role = c("aut"), email = "matt_psioda@unc.edu"), person(given = "Joseph G.", family = "Ibrahim", role = c("aut"), email = "ibrahim@bios.unc.edu"))
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RcppNumerical,
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
Packaged: 2021-05-07 17:01:02 UTC; angie
Author: Yueqi Shen [cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:52:23 UTC

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New package artemis with initial version 1.0.5
Package: artemis
Title: Analysis and Simulation of Environmental DNA Experiments
Version: 1.0.5
Authors@R: c(person(given = "Matt", family = "Espe", role = c("aut", "cre"), email = "mespe@ucdavis.edu"), person(given = "Myfanwy", family = "Johnston", role = c("aut"), email = "myfanwy.johnston@fishsciences.net"))
Description: Provides a modeling framework for the design and analysis of experiments collecting environmental DNA.
License: GPL (>= 3)
Depends: methods, graphics, stats, ggplot2, R (>= 3.5.0), loo
Imports: Rcpp (>= 1.0.1), rstan (>= 2.19.0), lme4 (>= 1.1.21), rstantools (>= 2.1.1), utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, markdown, covr
VignetteBuilder: knitr
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Packaged: 2021-05-07 13:48:58 UTC; mespe
Author: Matt Espe [aut, cre], Myfanwy Johnston [aut]
Maintainer: Matt Espe <mespe@ucdavis.edu>
Repository: CRAN
Date/Publication: 2021-05-10 07:42:14 UTC

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Package greed updated to version 0.5.1 with previous version 0.5.0 dated 2021-04-21

Title: Clustering and Model Selection with the Integrated Classification Likelihood
Description: An ensemble of algorithms that enable the clustering of networks and data matrix such as counts matrix with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).
Author: Etienne Côme [aut, cre], Nicolas Jouvin [aut]
Maintainer: Etienne Côme <etienne.come@univ-eiffel.fr>

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More information about greed at CRAN
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Package ennet (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-02-03 0.2.1
2021-01-21 0.2.0
2020-11-24 0.1.0

Permanent link
Package discord (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-11-10 1.0.0
2017-05-02 0.1

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Package CatReg (with last version 2.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-22 2.0.2
2020-11-14 2.0.1
2020-03-14 1.0.0

Permanent link
Package DataEditR updated to version 0.1.1 with previous version 0.0.9 dated 2020-12-12

Title: An Interactive Editor for Viewing, Entering, Filtering & Editing Data
Description: An interactive editor built on 'rhandsontable' to allow the interactive viewing, entering, filtering and editing of data in R <https://dillonhammill.github.io/DataEditR/>.
Author: Dillon Hammill [aut, cre] (<https://orcid.org/0000-0002-1407-7223>)
Maintainer: Dillon Hammill <Dillon.Hammill@anu.edu.au>

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Package gvc updated to version 6.0.0 with previous version 5.2.0 dated 2020-04-23

Title: Global Value Chains Tools
Description: Several tools for Global Value Chain ('GVC') analysis are implemented.
Author: Bastiaan Quast [aut, cre], Victor Kummritz [aut]
Maintainer: Bastiaan Quast <bquast@gmail.com>

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Package clhs updated to version 0.8.1 with previous version 0.7-3 dated 2020-04-15

Title: Conditioned Latin Hypercube Sampling
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

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Package censo2017 updated to version 0.5 with previous version 0.4 dated 2021-02-06

Title: Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 Chilean Census Easy Access Database)
Description: Provee un acceso conveniente a mas de 17 millones de registros de la base de datos del Censo 2017. Los datos fueron importados desde el DVD oficial del INE usando el Convertidor REDATAM creado por Pablo De Grande. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Provides convenient access to more than 17 million records from the Chilean Census 2017 database. The datasets were imported from the official DVD provided by the Chilean National Bureau of Statistics by using the REDATAM converter created by Pablo De Grande and in addition it includes the maps accompanying these datasets.)
Author: Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>), Juan Correa [ctb], Maria Paula Caldas [rev] (rOpenSci), Frans van Dunee [rev] (rOpenSci), Melina Vidoni [rev] (rOpenSci), Constanza Manriquez [rev] (revision independiente de las vinietas), Instituto Nacional de Estadisticas (INE) [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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Sun, 09 May 2021

Package tidytransit updated to version 1.0.0 with previous version 0.7.3 dated 2021-02-27

Title: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
Author: Flavio Poletti [aut], Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Mark Padgham [aut], Tom Buckley [aut, cre], Danton Noriega-Goodwin [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], James Lamb [ctb], Alexandra Kapp [ctb], Kearey Smith [ctb], Dave Vautin [ctb], Kyle Walker [ctb]
Maintainer: Tom Buckley <tom@tbuckl.com>

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Package GLMcat updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-06

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena León [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena León <ylorenaleonv@gmail.com>

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Package decompr updated to version 6.0.0 with previous version 4.5.0 dated 2016-08-17

Title: Global Value Chain Decomposition
Description: Three global value chain (GVC) decompositions are implemented. The Leontief decomposition derives the value added origin of exports by country and industry as in Hummels, Ishii and Yi (2001). The Koopman, Wang and Wei (2014) decomposition splits country-level exports into 9 value added components, and the Wang, Wei and Zhu (2013) decomposition splits bilateral exports into 16 value added components. Various GVC indicators based on these decompositions are computed in the complimentary 'gvc' package. --- References: --- Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of vertical specialization in world trade. Journal of international Economics, 54(1), 75-96. Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459-94. Wang, Z., Wei, S. J., & Zhu, K. (2013). Quantifying international production sharing at the bilateral and sector levels (No. w19677). National Bureau of Economic Research.
Author: Bastiaan Quast [aut, cre], Fei Wang [aut], Victor Kummritz [aut], Oliver Reiter [ctb], Sebastian Krantz [ctb]
Maintainer: Bastiaan Quast <bquast@gmail.com>

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Package ctrdata updated to version 1.6.0 with previous version 1.5.3 dated 2021-04-19

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: Provides functions for querying, retrieving and analyzing protocol- and results-related information on clinical trials from two public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and the 'ISRCTN' (<http://www.isrctn.com/>). Trial information is downloaded, converted and stored in a database ('SQLite' or 'MongoDB', via 'nodbi'). Functions are provided to identify de-duplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries that users retrieved in a database. The package can be used for meta analysis and trend-analysis of the design and conduct as well as results of clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package helsinki updated to version 1.0.1 with previous version 0.9.29 dated 2017-02-18

Title: R Tools for Helsinki Open Data
Description: Tools for accessing various open data sources in the Helsinki region in Finland. Current data sources include the Real Estate Department (<http://ptp.hel.fi/avoindata/>), Service Map API (<http://api.hel.fi/servicemap/v2/>), Linked Events API (<http://api.hel.fi/linkedevents/v1/>), Helsinki Region Infoshare statistics API (<https://dev.hel.fi/stats/>).
Author: Juuso Parkkinen [aut, cre], Joona Lehtomaki [aut], Pyry Kantanen [aut], Leo Lahti [aut] (<https://orcid.org/0000-0001-5537-637X>)
Maintainer: Juuso Parkkinen <juuso.parkkinen@iki.fi>

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Package interactionR updated to version 0.1.2 with previous version 0.1.1 dated 2020-06-24

Title: Full Reporting of Interaction Analyses
Description: Produces a publication-ready table that includes all effect estimates necessary for full reporting effect modification and interaction analysis as recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>]. It also estimates confidence interval for the trio of additive interaction measures using the delta method (see Hosmer and Lemeshow (1992), [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).
Author: Babatunde Alli
Maintainer: Babatunde Alli <babatunde.alli@mail.mcgill.ca>

Diff between interactionR versions 0.1.1 dated 2020-06-24 and 0.1.2 dated 2021-05-09

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Package slanter updated to version 0.2-0 with previous version 0.1-0 dated 2020-09-14

Title: Slanted Matrices and Ordered Clustering
Description: Slanted matrices and ordered clustering for better visualization of similarity data.
Author: Oren Ben-Kiki [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Oren Ben-Kiki <oren@ben-kiki.org>

Diff between slanter versions 0.1-0 dated 2020-09-14 and 0.2-0 dated 2021-05-09

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Package ptm updated to version 0.2.3 with previous version 0.2.2 dated 2020-12-16

Title: Analyses of Protein Post-Translational Modifications
Description: Contains utilities for the analysis of post-translational modifications (PTMs) in proteins, with particular emphasis on the sulfoxidation of methionine residues. Features include the ability to download, filter and analyze data from the sulfoxidation database 'MetOSite', and integrate data from other main PTMs (other databases). Utilities to search and characterize S-aromatic motifs in proteins are also provided. In addition, functions to analyze sequence environments around modifiable residues in proteins can be found. For instance, 'ptm' allows to search for amino acids either overrepresented or avoided around the modifiable residues from the proteins of interest. Functions tailored to test statistical hypothesis related to these differential sequence environments are also implemented. A number of utilities to assess the effect of the modification/mutation of a given residue on the protein stability, have also been included in this package. Further and detailed information regarding the methods in this package can be found in (Aledo (2020) <https://metositeptm.com>).
Author: Juan Carlos Aledo [au, cre]
Maintainer: Juan Carlos Aledo <caledo@uma.es>

Diff between ptm versions 0.2.2 dated 2020-12-16 and 0.2.3 dated 2021-05-09

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More information about ptm at CRAN
Permanent link

Package match2C updated to version 1.1.1 with previous version 1.1.0 dated 2021-02-17

Title: Match One Sample using Two Criteria
Description: Multivariate matching in observational studies typically has two goals: 1. to construct treated and control groups that have similar distribution of observed covariates and 2. to produce matched pairs or sets that are homogeneous in a few priority variables. This packages implements a network-flow-based method built around a tripartite graph that can simultaneously achieve both goals. A detailed explanation of the workflow and numerous examples are given in the vignette.
Author: Bo Zhang [aut, cre]
Maintainer: Bo Zhang <bozhan@wharton.upenn.edu>

Diff between match2C versions 1.1.0 dated 2021-02-17 and 1.1.1 dated 2021-05-09

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Package duckdb updated to version 0.2.6 with previous version 0.2.5 dated 2021-03-16

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and a R Database Interface (DBI) connector.
Author: Hannes Mühleisen [aut, cre] (<https://orcid.org/0000-0001-8552-0029>), Mark Raasveldt [aut] (<https://orcid.org/0000-0001-5005-6844>), DuckDB Contributors [aut], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrochers [cph], Victor Zverovich [cph], RAD Game Tools [cph], Valve Software [cph], Rich Geldreich [cph], Tenacious Software LLC [cph], The RE2 Authors [cph], Google Inc. [cph], Facebook Inc. [cph], Steven G. Johnson [cph], Jiahao Chen [cph], Tony Kelman [cph], Jonas Fonseca [cph], Lukas Fittl [cph], Salvatore Sanfilippo [cph], Art.sy, Inc. [cph], Oran Agra [cph], Redis Labs, Inc. [cph], Melissa O'Neill [cph], PCG Project contributors [cph]
Maintainer: Hannes Mühleisen <hannes@cwi.nl>

Diff between duckdb versions 0.2.5 dated 2021-03-16 and 0.2.6 dated 2021-05-09

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 duckdb-0.2.6/duckdb/DESCRIPTION                                                                                   |   29 
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 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/include/resizable_buffer.hpp                                     |   19 
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 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/include/struct_column_reader.hpp                                 |only
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/include/templated_column_reader.hpp                              |only
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/include/thrift_tools.hpp                                         |   15 
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/parquet-extension.cpp                                            |   71 
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/parquet_reader.cpp                                               |  246 
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/parquet_statistics.cpp                                           |   13 
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/parquet_timestamp.cpp                                            |    6 
 duckdb-0.2.6/duckdb/src/duckdb/extension/parquet/parquet_writer.cpp                                               |   37 
 duckdb-0.2.6/duckdb/src/duckdb/src/catalog/catalog_entry/index_catalog_entry.cpp                                  |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/catalog/catalog_set.cpp                                                        |   18 
 duckdb-0.2.6/duckdb/src/duckdb/src/catalog/dependency_manager.cpp                                                 |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/allocator.cpp                                                           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/common/bit_operations.cpp                                                      |only
 duckdb-0.2.6/duckdb/src/duckdb/src/common/cycle_counter.cpp                                                       |only
 duckdb-0.2.6/duckdb/src/duckdb/src/common/enums/expression_type.cpp                                               |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/enums/logical_operator_type.cpp                                         |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/enums/physical_operator_type.cpp                                        |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/enums/statement_type.cpp                                                |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/file_system.cpp                                                         |   23 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/limits.cpp                                                              |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/operator/cast_operators.cpp                                             |  186 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/progress_bar.cpp                                                        |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/tree_renderer.cpp                                                       |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types.cpp                                                               |   75 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/chunk_collection.cpp                                              |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/data_chunk.cpp                                                    |  110 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/date.cpp                                                          |   36 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/hash.cpp                                                          |   31 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/hyperloglog.cpp                                                   |   32 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/interval.cpp                                                      |   27 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/row_data_collection.cpp                                           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/selection_vector.cpp                                              |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/time.cpp                                                          |   18 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/timestamp.cpp                                                     |  100 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/validity_mask.cpp                                                 |   25 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/value.cpp                                                         |  167 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/vector.cpp                                                        |  210 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/types/vector_buffer.cpp                                                 |   42 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/vector_operations/vector_cast.cpp                                       |   94 
 duckdb-0.2.6/duckdb/src/duckdb/src/common/vector_operations/vector_copy.cpp                                       |  128 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/aggregate_hashtable.cpp                                              |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/expression_executor.cpp                                              |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/expression_executor/execute_case.cpp                                 |   17 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/expression_executor/execute_comparison.cpp                           |   42 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/expression_executor/execute_function.cpp                             |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/index/art/art.cpp                                                    |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/index/art/art_key.cpp                                                |  153 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/join_hashtable.cpp                                                   |   37 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/aggregate/physical_hash_aggregate.cpp                       |   59 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/aggregate/physical_perfecthash_aggregate.cpp                |   34 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/aggregate/physical_simple_aggregate.cpp                     |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/aggregate/physical_window.cpp                               |  784 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/helper/physical_load.cpp                                    |only
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_blockwise_nl_join.cpp                         |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_cross_product.cpp                             |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_delim_join.cpp                                |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_hash_join.cpp                                 |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_index_join.cpp                                |    9 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_nested_loop_join.cpp                          |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/join/physical_piecewise_merge_join.cpp                      |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/order/physical_order.cpp                                    | 1965 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/order/physical_top_n.cpp                                    |   18 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/persistent/buffered_csv_reader.cpp                          |   55 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/persistent/physical_copy_to_file.cpp                        |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/persistent/physical_delete.cpp                              |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/persistent/physical_insert.cpp                              |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/persistent/physical_update.cpp                              |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/projection/physical_tableinout_function.cpp                 |only
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/projection/physical_unnest.cpp                              |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/scan/physical_table_scan.cpp                                |   10 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/operator/schema/physical_create_table_as.cpp                         |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/partitionable_hashtable.cpp                                          |   31 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan/plan_aggregate.cpp                                     |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan/plan_comparison_join.cpp                               |   22 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan/plan_get.cpp                                           |   13 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan/plan_simple.cpp                                        |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan/plan_window.cpp                                        |   71 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/physical_plan_generator.cpp                                          |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/execution/window_segment_tree.cpp                                              |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/distributive/count.cpp                                      |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/distributive_functions.cpp                                  |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/holistic/approximate_quantile.cpp                           |   14 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/holistic/mode.cpp                                           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/holistic/quantile.cpp                                       |  556 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/holistic/reservoir_quantile.cpp                             |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/holistic_functions.cpp                                      |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/nested/histogram.cpp                                        |   35 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/aggregate/nested/list.cpp                                             |   68 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/cast_rules.cpp                                                        |   18 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/pragma/pragma_functions.cpp                                           |   10 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/pragma/pragma_queries.cpp                                             |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/date/date_part.cpp                                             |   22 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/date/date_trunc.cpp                                            |   41 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/date/strftime.cpp                                              |   37 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/nested/array_slice.cpp                                         |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/nested/list_extract.cpp                                        |  102 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/nested/list_value.cpp                                          |   21 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/nested/struct_extract.cpp                                      |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/nested_functions.cpp                                           |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/operators/add.cpp                                              |    9 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/operators/arithmetic.cpp                                       |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/operators/bitwise.cpp                                          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/sequence/currval.cpp                                           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/sequence/nextval.cpp                                           |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/sequence_functions.cpp                                         |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/string/contains.cpp                                            |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/scalar/string/string_split.cpp                                        |   75 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/arrow.cpp                                                       |  251 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/checkpoint.cpp                                                  |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/copy_csv.cpp                                                    |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/glob.cpp                                                        |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/information_schema/information_schema_columns.cpp               |   13 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/information_schema/information_schema_schemata.cpp              |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/information_schema/information_schema_tables.cpp                |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/pragma_detailed_profiling_output.cpp                            |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/pragma_last_profiling_output.cpp                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/range.cpp                                                       |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/read_csv.cpp                                                    |   32 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/repeat.cpp                                                      |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/pragma_collations.cpp                                    |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/pragma_database_list.cpp                                 |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/pragma_database_size.cpp                                 |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/pragma_functions.cpp                                     |   26 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/pragma_table_info.cpp                                    |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite/sqlite_master.cpp                                        |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/sqlite_functions.cpp                                            |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/summary.cpp                                                     |only
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/table_scan.cpp                                                  |   41 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/table/version/pragma_version.cpp                                      |   10 
 duckdb-0.2.6/duckdb/src/duckdb/src/function/udf_function.cpp                                                      |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb.h                                                               |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb.hpp                                                             |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/catalog/catalog.hpp                                             |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry.hpp                                       |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_entry/sequence_catalog_entry.hpp                |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/catalog/catalog_set.hpp                                         |   15 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/allocator.hpp                                            |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/array.hpp                                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/arrow.hpp                                                |    5 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/atomic.hpp                                               |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/bit_operations.hpp                                       |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/constants.hpp                                            |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/cycle_counter.hpp                                        |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/deque.hpp                                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/enums/expression_type.hpp                                |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/enums/logical_operator_type.hpp                          |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/enums/physical_operator_type.hpp                         |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/enums/relation_type.hpp                                  |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/enums/statement_type.hpp                                 |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/file_system.hpp                                          |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/helper.hpp                                               |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/mutex.hpp                                                |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/operator/cast_operators.hpp                              |  152 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/operator/comparison_operators.hpp                        |   21 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/profiler.hpp                                             |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/progress_bar.hpp                                         |   20 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/serializer.hpp                                           |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/single_thread_ptr.hpp                                    |   43 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types.hpp                                                |  230 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/cast_helpers.hpp                                   |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/chunk_collection.hpp                               |   15 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/data_chunk.hpp                                     |   10 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/date.hpp                                           |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/interval.hpp                                       |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/null_value.hpp                                     |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/row_data_collection.hpp                            |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/selection_vector.hpp                               |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/string_type.hpp                                    |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/time.hpp                                           |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/timestamp.hpp                                      |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/validity_mask.hpp                                  |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/value.hpp                                          |   28 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/vector.hpp                                         |   69 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/types/vector_buffer.hpp                                  |   26 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/vector_operations/aggregate_executor.hpp                 |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/vector_operations/binary_executor.hpp                    |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/vector_operations/vector_operations.hpp                  |   20 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/winapi.hpp                                               |   14 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/common/windows_undefs.hpp                                       |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/executor.hpp                                          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/expression_executor.hpp                               |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/expression_executor_state.hpp                         |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/index/art/art_key.hpp                                 |   31 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/join_hashtable.hpp                                    |    5 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_hash_aggregate.hpp        |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_perfecthash_aggregate.hpp |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/aggregate/physical_window.hpp                |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/helper/physical_load.hpp                     |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_blockwise_nl_join.hpp          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_delim_join.hpp                 |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_hash_join.hpp                  |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_nested_loop_join.hpp           |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/join/physical_piecewise_merge_join.hpp       |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/order/physical_order.hpp                     |   42 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/order/physical_top_n.hpp                     |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/buffered_csv_reader.hpp           |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/persistent/physical_copy_to_file.hpp         |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/operator/projection/physical_tableinout_function.hpp  |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/partitionable_hashtable.hpp                           |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/execution/physical_sink.hpp                                     |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/aggregate/distributive_functions.hpp                   |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/aggregate/holistic_functions.hpp                       |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/function.hpp                                           |   18 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/replacement_scan.hpp                                   |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/scalar/nested_functions.hpp                            |    5 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/scalar/sequence_functions.hpp                          |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/scalar_function.hpp                                    |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/table/list.hpp                                         |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/table/sqlite_functions.hpp                             |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/table/summary.hpp                                      |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/table/table_scan.hpp                                   |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/table_function.hpp                                     |   19 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/function/udf_function.hpp                                       |  131 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/appender.hpp                                               |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/client_context.hpp                                         |   14 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/config.hpp                                                 |   10 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/connection.hpp                                             |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/loadable_extension.hpp                                     |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/query_profiler.hpp                                         |   45 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/relation.hpp                                               |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/relation/create_view_relation.hpp                          |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/relation/query_relation.hpp                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/main/relation/table_function_relation.hpp                       |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parallel/concurrentqueue.hpp                                    |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parallel/pipeline.hpp                                           |   13 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parallel/task.hpp                                               |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parallel/task_counter.hpp                                       |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parallel/task_scheduler.hpp                                     |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/expression/cast_expression.hpp                           |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/expression/list.hpp                                      |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/expression/operator_expression.hpp                       |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/expression/positional_reference_expression.hpp           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/parsed_data/load_info.hpp                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/statement/delete_statement.hpp                           |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/statement/list.hpp                                       |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/statement/load_statement.hpp                             |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/tableref/table_function_ref.hpp                          |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/tokens.hpp                                               |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/parser/transformer.hpp                                          |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/planner/bind_context.hpp                                        |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/planner/binder.hpp                                              |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/planner/expression/bound_window_expression.hpp                  |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/planner/expression_binder.hpp                                   |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/buffer/block_handle.hpp                                 |    9 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/buffer_manager.hpp                                      |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/checkpoint/table_data_writer.hpp                        |   17 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/checkpoint/write_overflow_strings_to_disk.hpp           |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/column_data.hpp                                         |   79 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/data_table.hpp                                          |   68 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/index.hpp                                               |    5 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/numeric_segment.hpp                                     |   67 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/object_cache.hpp                                        |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/statistics/base_statistics.hpp                          |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/statistics/numeric_statistics.hpp                       |   42 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/statistics/validity_statistics.hpp                      |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/storage_lock.hpp                                        |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/string_segment.hpp                                      |  101 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/append_state.hpp                                  |   11 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/chunk_info.hpp                                    |   15 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/column_segment.hpp                                |   19 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/persistent_segment.hpp                            |   20 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/persistent_table_data.hpp                         |   17 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/scan_state.hpp                                    |   17 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/segment_base.hpp                                  |    9 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/standard_column_data.hpp                          |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/transient_segment.hpp                             |   22 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/update_segment.hpp                                |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/validity_column_data.hpp                          |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/table/validity_segment.hpp                              |only
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/storage/uncompressed_segment.hpp                                |   58 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/transaction/transaction.hpp                                     |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/transaction/transaction_manager.hpp                             |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/include/duckdb/transaction/update_info.hpp                                     |   19 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/appender.cpp                                                              |   15 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/client_context.cpp                                                        |   24 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/connection.cpp                                                            |    5 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/database.cpp                                                              |   28 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/duckdb-c.cpp                                                              |   33 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/query_profiler.cpp                                                        |   14 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/query_result.cpp                                                          |   52 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/relation.cpp                                                              |   29 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/relation/create_view_relation.cpp                                         |    9 
 duckdb-0.2.6/duckdb/src/duckdb/src/main/relation/query_relation.cpp                                               |only
 duckdb-0.2.6/duckdb/src/duckdb/src/main/relation/table_function_relation.cpp                                      |   15 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/deliminator.cpp                                                      |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/filter_combiner.cpp                                                  |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/expression/propagate_cast.cpp                             |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/expression/propagate_comparison.cpp                       |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/expression/propagate_constant.cpp                         |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/expression/propagate_operator.cpp                         |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/operator/propagate_filter.cpp                             |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/optimizer/statistics/operator/propagate_join.cpp                               |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/parallel/executor.cpp                                                          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/parallel/pipeline.cpp                                                          |   62 
 duckdb-0.2.6/duckdb/src/duckdb/src/parallel/task_scheduler.cpp                                                    |   16 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/expression/cast_expression.cpp                                          |   17 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/expression/operator_expression.cpp                                      |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/expression/positional_reference_expression.cpp                          |only
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/parsed_expression.cpp                                                   |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/parsed_expression_iterator.cpp                                          |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/query_error_context.cpp                                                 |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/statement/delete_statement.cpp                                          |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/statement/load_statement.cpp                                            |only
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/expression/transform_array_access.cpp                         |only
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/expression/transform_cast.cpp                                 |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/expression/transform_expression.cpp                           |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/expression/transform_function.cpp                             |   25 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/expression/transform_positional_reference.cpp                 |only
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/statement/transform_create_table_as.cpp                       |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/statement/transform_delete.cpp                                |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transform/statement/transform_load.cpp                                  |only
 duckdb-0.2.6/duckdb/src/duckdb/src/parser/transformer.cpp                                                         |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/bind_context.cpp                                                       |   29 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder.cpp                                                             |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/expression/bind_cast_expression.cpp                             |    3 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/expression/bind_comparison_expression.cpp                       |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/expression/bind_operator_expression.cpp                         |   25 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/expression/bind_positional_reference_expression.cpp             |only
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/statement/bind_delete.cpp                                       |   27 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/statement/bind_load.cpp                                         |only
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/statement/bind_update.cpp                                       |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/tableref/bind_basetableref.cpp                                  |   23 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/binder/tableref/bind_table_function.cpp                                |   48 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/expression/bound_cast_expression.cpp                                   |   20 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/expression/bound_window_expression.cpp                                 |    4 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/expression_binder.cpp                                                  |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/expression_iterator.cpp                                                |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/planner/planner.cpp                                                            |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/buffer_manager.cpp                                                     |   16 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/checkpoint/table_data_reader.cpp                                       |   34 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/checkpoint/table_data_writer.cpp                                       |  293 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/checkpoint/write_overflow_strings_to_disk.cpp                          |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/column_data.cpp                                                        |  464 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/data_table.cpp                                                         |  225 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/index.cpp                                                              |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/local_storage.cpp                                                      |   12 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/meta_block_reader.cpp                                                  |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/meta_block_writer.cpp                                                  |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/numeric_segment.cpp                                                    |  884 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/statistics/base_statistics.cpp                                         |   51 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/statistics/numeric_statistics.cpp                                      |   80 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/statistics/string_statistics.cpp                                       |   13 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/statistics/validity_statistics.cpp                                     |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/storage_info.cpp                                                       |    2 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/string_segment.cpp                                                     |  506 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/morsel_info.cpp                                                  |    7 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/persistent_segment.cpp                                           |   45 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/persistent_table_data.cpp                                        |    6 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/standard_column_data.cpp                                         |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/transient_segment.cpp                                            |   42 
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/update_segment.cpp                                               |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/validity_column_data.cpp                                         |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/table/validity_segment.cpp                                             |only
 duckdb-0.2.6/duckdb/src/duckdb/src/storage/uncompressed_segment.cpp                                               |  215 
 duckdb-0.2.6/duckdb/src/duckdb/src/transaction/cleanup_state.cpp                                                  |   16 
 duckdb-0.2.6/duckdb/src/duckdb/src/transaction/commit_state.cpp                                                   |   25 
 duckdb-0.2.6/duckdb/src/duckdb/src/transaction/rollback_state.cpp                                                 |    1 
 duckdb-0.2.6/duckdb/src/duckdb/src/transaction/transaction.cpp                                                    |    8 
 duckdb-0.2.6/duckdb/src/duckdb/src/transaction/transaction_manager.cpp                                            |    3 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/concurrentqueue/blockingconcurrentqueue.h                              |    6 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/concurrentqueue/concurrentqueue.h                                      |   20 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/concurrentqueue/lightweightsemaphore.h                                 |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/fmt/include/fmt/printf.h                                               |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/hyperloglog/hyperloglog.cpp                                            |   23 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/hyperloglog/hyperloglog.hpp                                            |   12 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/hyperloglog/sds.cpp                                                    |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/hyperloglog/sds.hpp                                                    |    5 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/include/nodes/nodes.hpp                                    |    1 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/include/nodes/parsenodes.hpp                               |   11 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/include/parser/gram.hpp                                    |  240 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/include/parser/kwlist.hpp                                  |    1 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/include/pg_definitions.hpp                                 |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/src_backend_parser_gram.cpp                                |20128 +++++-----
 duckdb-0.2.6/duckdb/src/duckdb/third_party/libpg_query/src_backend_parser_scan.cpp                                |  832 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/miniz/miniz.cpp                                                        |    2 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/miniz/miniz.hpp                                                        |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/parquet/parquet_constants.cpp                                          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/parquet/parquet_constants.h                                            |    2 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/parquet/parquet_types.cpp                                              | 1322 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/parquet/parquet_types.h                                                |  278 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/pcg/pcg_random.hpp                                                     |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/re2/re2/stringpiece.h                                                  |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/snappy/snappy-stubs-internal.h                                         |    6 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/tdigest                                                                |only
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/TApplicationException.h                                  |    6 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/TBase.h                                                  |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/TLogging.h                                               |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/TToString.h                                              |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/Thrift.h                                                 |   10 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TCompactProtocol.h                              |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TCompactProtocol.tcc                            |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TProtocol.cpp                                   |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TProtocol.h                                     |   10 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TProtocolDecorator.h                            |    6 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TProtocolException.h                            |   14 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TProtocolTypes.h                                |    4 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/protocol/TVirtualProtocol.h                              |   12 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/thrift-config.h                                          |    2 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/transport/TBufferTransports.cpp                          |    8 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/transport/TBufferTransports.h                            |   10 
 duckdb-0.2.6/duckdb/src/duckdb/third_party/thrift/thrift/transport/TTransport.h                                   |   10 
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Package DALEXtra updated to version 2.1.1 with previous version 2.0 dated 2020-09-07

Title: Extension for 'DALEX' Package
Description: Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot. Third branch of 'DALEXtra' package is aspect importance analysis that provides instance-level explanations for the groups of explanatory variables.
Author: Szymon Maksymiuk [aut, cre] (<https://orcid.org/0000-0002-3120-1601>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>), Anna Kozak [ctb], Hubert Baniecki [ctb]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

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Package softImpute updated to version 1.4-1 with previous version 1.4 dated 2015-04-07

Title: Matrix Completion via Iterative Soft-Thresholded SVD
Description: Iterative methods for matrix completion that use nuclear-norm regularization. There are two main approaches.The one approach uses iterative soft-thresholded svds to impute the missing values. The second approach uses alternating least squares. Both have an 'EM' flavor, in that at each iteration the matrix is completed with the current estimate. For large matrices there is a special sparse-matrix class named "Incomplete" that efficiently handles all computations. The package includes procedures for centering and scaling rows, columns or both, and for computing low-rank SVDs on large sparse centered matrices (i.e. principal components).
Author: Trevor Hastie <hastie@stanford.edu> and Rahul Mazumder <rahul.mazumder@gmail.com>
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package koRpus updated to version 0.13-6 with previous version 0.13-5 dated 2021-02-02

Title: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Note: For full functionality a local installation of TreeTagger is recommended. It is also recommended to not load this package directly, but by loading one of the available language support packages from the 'l10n' repository <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

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Package getspres updated to version 0.2.0 with previous version 0.1.1 dated 2020-03-31

Title: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Description: An implementation of SPRE (standardised predicted random-effects) statistics in R to explore heterogeneity in genetic association meta- analyses, as described by Magosi et al. (2019) <doi:10.1093/bioinformatics/btz590>. SPRE statistics are precision weighted residuals that indicate the direction and extent with which individual study-effects in a meta-analysis deviate from the average genetic effect. Overly influential positive outliers have the potential to inflate average genetic effects in a meta-analysis whilst negative outliers might lower or change the direction of effect. See the 'getspres' website for documentation and examples <https://magosil86.github.io/getspres/>.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

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Package getmstatistic updated to version 0.2.2 with previous version 0.2.1 dated 2020-03-30

Title: Quantifying Systematic Heterogeneity in Meta-Analysis
Description: Quantifying systematic heterogeneity in meta-analysis using R. The M statistic aggregates heterogeneity information across multiple variants to, identify systematic heterogeneity patterns and their direction of effect in meta-analysis. It's primary use is to identify outlier studies, which either show "null" effects or consistently show stronger or weaker genetic effects than average across, the panel of variants examined in a GWAS meta-analysis. In contrast to conventional heterogeneity metrics (Q-statistic, I-squared and tau-squared) which measure random heterogeneity at individual variants, M measures systematic (non-random) heterogeneity across multiple independently associated variants. Systematic heterogeneity can arise in a meta-analysis due to differences in the study characteristics of participating studies. Some of the differences may include: ancestry, allele frequencies, phenotype definition, age-of-disease onset, family-history, gender, linkage disequilibrium and quality control thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical statistical theory, documentation and examples.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

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Package bcaboot updated to version 0.2-3 with previous version 0.2-1 dated 2018-08-31

Title: Bias Corrected Bootstrap Confidence Intervals
Description: Computation of bootstrap confidence intervals in an almost automatic fashion as described in Efron and Narasimhan (2020, <doi:10.1080/10618600.2020.1714633>).
Author: Bradley Efron [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

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Package SMLE updated to version 1.1.1 with previous version 0.4.1 dated 2020-06-24

Title: Joint Feature Screening via Sparse MLE
Description: Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion.
Author: Qianxiang Zang, Chen Xu, Kelly Burkett
Maintainer: Qianxiang Zang <qzang023@uottawa.ca>

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Sat, 08 May 2021

Package psychmeta updated to version 2.5.1 with previous version 2.5.0 dated 2021-05-02

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Wesley Gardiner [ctb] (Unit tests), Michael T. Brannick [ctb] (Testing), Jack Kostal [ctb] (Code for reshape_mat2dat function), Sean Potter [ctb] (Testing; Code for cumulative and leave1out plots), John Sakaluk [ctb] (Code for funnel and forest plots), Yuejia (Mandy) Teng [ctb] (Testing)
Maintainer: Jeffrey A. Dahlke <jdahlke@humrro.org>

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