Wed, 05 Jan 2022

Package worldfootballR updated to version 0.4.8 with previous version 0.4.5 dated 2021-11-25

Title: Functions to Extract and Clean World Football (Soccer) Data
Description: A set of functions to allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref'<https://fbref.com/en/>, transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location data from 'Understat'<https://understat.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>

Diff between worldfootballR versions 0.4.5 dated 2021-11-25 and 0.4.8 dated 2022-01-05

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 vignettes/extract-fbref-data.Rmd         |   33 +++
 vignettes/extract-transfermarkt-data.Rmd |   65 ++++++
 28 files changed, 1033 insertions(+), 381 deletions(-)

More information about worldfootballR at CRAN
Permanent link

Package NMdata updated to version 0.0.10 with previous version 0.0.9 dated 2021-08-09

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Helps with trivial but tedious tasks and tries to identify errors to save time on debugging. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMdata versions 0.0.9 dated 2021-08-09 and 0.0.10 dated 2022-01-05

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Package visachartR updated to version 2.0.0 with previous version 1.1.1 dated 2021-11-02

Title: Wrapper for 'Visa Chart Components'
Description: Provides a set of wrapper functions for 'Visa Chart Components'. 'Visa Chart Components' <https://github.com/visa/visa-chart-components> is an accessibility focused, framework agnostic set of data experience design systems components for the web.
Author: Christopher DeMartini [aut, cre], Jaime Tanner [aut], Frank Elavsky [aut], Wojtek Kostelecki [ctb], Visa Data Experience Team [aut, fnd], Visa, Inc. [cph]
Maintainer: Christopher DeMartini <chris.demartini.npm@gmail.com>

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Package stokes updated to version 1.1-1 with previous version 1.0-9 dated 2021-11-16

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>

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Package roclang updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-20

Title: Functions for Diffusing Function Documentations into 'Roxygen' Comments
Description: Efficient diffusing of content across function documentations. Sections, parameters or dot parameters are extracted from function documentations and turned into valid Rd character strings, which are ready to diffuse into the 'roxygen' comments of another function by inserting inline code.
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>

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Package IFAA updated to version 1.0.4 with previous version 1.0.3 dated 2021-11-08

Title: Robust Inference for Absolute Abundance in Microbiome Analysis
Description: A novel approach to make inference on the association of covariates with the absolute abundance (AA) of 'microbiome' in an ecosystem. It can be also directly applied to relative abundance (RA) data to make inference on AA (even if AA data is not available) because the ratio of two RA is equal ratio of their AA. This algorithm can estimate and test the associations of interest while adjusting for potential 'confounders'. The estimates of this method have easy interpretation like a typical regression analysis. High-dimensional covariates are handled with regularization and it is implemented by parallel computing. This algorithm finds optimal reference 'taxa/OTU (Operational Taxonomic Unit)/ASV (Amplicon Sequence Bariant)' and uses permutation to control FDR (False Discovery Rate).
Author: Quran Wu [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <zhigang.li@ufl.edu>

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Package stacks updated to version 0.2.2 with previous version 0.2.1 dated 2021-07-23

Title: Tidy Model Stacking
Description: Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Author: Simon Couch [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

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Package sphet updated to version 2.0 with previous version 1.7 dated 2018-03-16

Title: Estimation of Spatial Autoregressive Models with and without Heteroskedastic Innovations
Description: Functions for fitting Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations using Generalized Method of Moments estimation are provided. Some support is available for fitting spatial HAC models, and for fitting with non-spatial endogeneous variables using instrumental variables.
Author: Gianfranco Piras [aut, cre] (<https://orcid.org/0000-0003-0225-6061>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>)
Maintainer: Gianfranco Piras <gpiras@mac.com>

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Package Rcmdr updated to version 2.7-2 with previous version 2.7-1 dated 2020-10-07

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Milan Bouchet-Valat [aut], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ctb], Kosar Karimi Pour [ctb], G. Jay Kerns [ctb], Renaud Lancelot [ctb], Matthieu Lesnoff [ctb], Uwe Ligges [ctb], Samir Messad [ctb], Martin Maechler [ctb], Robert Muenchen [ctb], Duncan Murdoch [ctb], Erich Neuwirth [ctb], Dan Putler [ctb], Brian Ripley [ctb], Miroslav Ristic [ctb], Peter Wolf [ctb], Kevin Wright [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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New package qbld with initial version 1.0.3
Package: qbld
Title: Quantile Regression for Binary Longitudinal Data
Version: 1.0.3
Date: 2022-01-05
Author: Ayush Agarwal [aut, cre], Dootika Vats [ctb]
Maintainer: Ayush Agarwal<ayush.agarwal50@gmail.com>
Description: Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) <DOI:10.1108/S0731-90532019000040B009>. The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
License: GPL-3
Imports: Rcpp, stats, grDevices, graphics, mcmcse, stableGR, RcppDist, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Depends: R (>= 3.5)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-01-05 16:29:17 UTC; mclaren
Repository: CRAN
Date/Publication: 2022-01-06 00:20:02 UTC

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Package phd updated to version 0.2 with previous version 0.1 dated 2019-07-02

Title: Permutation Testing in High-Dimensional Linear Models
Description: Provides permutation methods for testing in high-dimensional linear models. The tests are often robust against heteroscedasticity and non-normality and usually perform well under anti-sparsity. See Hemerik, Thoresen and Finos (2021) <doi:10.1080/00949655.2020.1836183>.
Author: Jesse Hemerik, Livio Finos
Maintainer: Jesse Hemerik <jesse.hemerik@wur.nl>

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Package disprose updated to version 0.1.3 with previous version 0.1.2 dated 2022-01-03

Title: Discriminating Probes Selection
Description: Set of tools for molecular probes selection and design of a microarray, e.g. the assessment of physical and chemical properties, blast performance, selection according to sensitivity and selectivity. Methods used in package are described in: Lorenz R., Stephan H.B., Höner zu Siederdissen C. et al. (2011) <doi:10.1186/1748-7188-6-26>; Camacho C., Coulouris G., Avagyan V. et al. (2009) <doi:10.1186/1471-2105-10-421>.
Author: Elena Filatova [aut, cre] (<https://orcid.org/0000-0002-6683-7191>), Oleg Utkin [ctb] (<https://orcid.org/0000-0002-7571-525X>), Blokhina Scientific Research Institute of Epidemiology and Microbiology of Nizhny Novgorod, Russia [fnd]
Maintainer: Elena Filatova <filatova@nniiem.ru>

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Package carData updated to version 3.0-5 with previous version 3.0-4 dated 2020-05-22

Title: Companion to Applied Regression Data Sets
Description: Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage (2019).
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package TDA updated to version 1.8.2 with previous version 1.7.7 dated 2021-03-30

Title: Statistical Tools for Topological Data Analysis
Description: Tools for the statistical analysis of persistent homology and for density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements the methods in Fasy et al. (2014) and Chazal et al. (2014) <doi:10.1145/2582112.2582128> for analyzing the statistical significance of persistent homology features.
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, David L. Millman, Vincent Rouvreau.
Maintainer: Jisu Kim <jisu.kim@inria.fr>

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Package distributional updated to version 0.3.0 with previous version 0.2.2 dated 2021-02-02

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] (<https://orcid.org/0000-0001-6729-7695>), Matthew Kay [aut] (<https://orcid.org/0000-0001-9446-0419>), Alex Hayes [aut] (<https://orcid.org/0000-0002-4985-5160>), Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package freealg updated to version 1.0-4 with previous version 1.0-3 dated 2021-11-19

Title: The Free Algebra
Description: The free algebra in R; multivariate polynomials with non-commuting indeterminates.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package BayesCACE updated to version 1.1 with previous version 1.0 dated 2021-11-08

Title: Bayesian Model for CACE Analysis
Description: Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028>, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) <doi:10.1080/01621459.2021.1900859>, with an application example on Epidural Analgesia.
Author: Jinhui Yang [aut, cre] (<https://orcid.org/0000-0001-8322-1121>), Jincheng Zhou [aut] (<https://orcid.org/0000-0003-2641-2495>), James Hodges [ctb], Haitao Chu [ctb] (<https://orcid.org/0000-0003-0932-598X>)
Maintainer: Jinhui Yang <james.yangjinhui@gmail.com>

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Package spam64 updated to version 2.8-0 with previous version 2.7-0 dated 2021-06-25

Title: 64-Bit Extension of the SPArse Matrix R Package 'spam'
Description: Provides the Fortran code of the R package 'spam' with 64-bit integers. Loading this package together with the R package spam enables the sparse matrix class spam to handle huge sparse matrices with more than 2^31-1 non-zero elements. Documentation is provided in Gerber, Moesinger and Furrer (2017) <doi:10.1016/j.cageo.2016.11.015>.
Author: Reinhard Furrer [aut, cre] (<https://orcid.org/0000-0002-6319-2332>), Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>), Roman Flury [aut] (<https://orcid.org/0000-0002-0349-8698>), Daniel Gerber [ctb], Kaspar Moesinger [ctb], Youcef Saad [ctb] (SPARSEKIT http://www-users.cs.umn.edu/~saad/software/SPARSKIT/), Esmond G. Ng [ctb] (Fortran Cholesky routines), Barry W. Peyton [ctb] (Fortran Cholesky routines), Joseph W.H. Liu [ctb] (Fortran Cholesky routines), Alan D. George [ctb] (Fortran Cholesky routines), Lehoucq B. Rich [ctb] (ARPACK), Maschhoff Kristi [ctb] (ARPACK), Sorensen C. Danny [ctb] (ARPACK), Yang Chao [ctb] (ARPACK)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

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Package RcmdrPlugin.survival updated to version 1.2-2 with previous version 1.2-1 dated 2019-12-08

Title: R Commander Plug-in for the 'survival' Package
Description: An R Commander plug-in for the survival package, with dialogs for Cox models, parametric survival regression models, estimation of survival curves, and testing for differences in survival curves, along with data-management facilities and a variety of tests, diagnostics and graphs.
Author: John Fox
Maintainer: John Fox <jfox@mcmaster.ca>

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Package RcmdrMisc updated to version 2.7-2 with previous version 2.7-1 dated 2020-08-13

Title: R Commander Miscellaneous Functions
Description: Various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Author: John Fox [aut, cre], Robert Muenchen [ctb], Dan Putler [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package MALDIquantForeign updated to version 0.13 with previous version 0.12 dated 2019-02-01

Title: Import/Export Routines for 'MALDIquant'
Description: Functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML, imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML, imzML) different file formats of mass spectrometry data into/from 'MALDIquant' objects.
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>), Pietro Franceschi [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

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Package healthyR updated to version 0.1.7 with previous version 0.1.6 dated 2021-08-20

Title: Hospital Data Analysis Workflow Tools
Description: Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package GofCens updated to version 0.92 with previous version 0.91 dated 2021-08-20

Title: Goodness-of-Fit Methods for Right-Censored Data
Description: Graphical tools and goodness-of-fit tests for right-censored data: 1. Kolmogorov-Smirnov, Crámer-von Mises, and Anderson-Darling tests based on the empirical distribution function for complete data and their extensions for right-censored data. 2. Generalized chi-squared-type tests based on the squared difference between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the parametric model that best fits the data.
Author: Klaus Langohr [aut, cre], Mireia Besalú [aut], Guadalupe Gómez [ctb]
Maintainer: Klaus Langohr <klaus.langohr@upc.edu>

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Package CruzPlot updated to version 1.4.7 with previous version 1.4.6 dated 2021-09-03

Title: Plot Shipboard DAS Data
Description: A utility program oriented to create maps, plot data, and do basic data summaries of 'DAS' data <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-305.PDF> produced by 'WinCruz' from the Southwest Fisheries Science Center. <https://www.fisheries.noaa.gov/west-coast/science-data/california-current-marine-mammal-assessment-program>.
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>), Tim Gerrodette [aut]
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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Package ssfa updated to version 1.2 with previous version 1.1 dated 2015-06-09

Title: Spatial Stochastic Frontier Analysis
Description: Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.
Author: Elisa Fusco, Francesco Vidoli
Maintainer: Elisa Fusco <fusco_elisa@libero.it>

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Package MSEtool updated to version 3.4.0 with previous version 3.3.0 dated 2021-11-16

Title: Management Strategy Evaluation Toolkit
Description: Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Adrian Hordyk [aut, cre], Quang Huynh [aut], Tom Carruthers [aut], Chris Grandin [ctb] (iSCAM functions)
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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More information about MSEtool at CRAN
Permanent link

Package posterior updated to version 1.2.0 with previous version 1.1.0 dated 2021-09-09

Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Paul-Christian Bürkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Måns Magnusson [ctb], Rok Češnovar [ctb], Ben Lambert [ctb], Ozan Adıgüzel [ctb], Jacob Socolar [ctb]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

Diff between posterior versions 1.1.0 dated 2021-09-09 and 1.2.0 dated 2022-01-05

 posterior-1.1.0/posterior/man/vctrs-compat.Rd                               |only
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 posterior-1.2.0/posterior/NEWS.md                                           |   18 
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 posterior-1.2.0/posterior/R/subset_draws.R                                  |  768 ++---
 posterior-1.2.0/posterior/R/summarise_draws.R                               |  656 ++--
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 posterior-1.2.0/posterior/R/zzz.R                                           |   17 
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 posterior-1.2.0/posterior/tests/testthat/test-rvar-dim.R                    |   30 
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 posterior-1.2.0/posterior/tests/testthat/test-subset_draws.R                |  348 +-
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 posterior-1.2.0/posterior/vignettes/posterior.Rmd                           |  812 ++---
 posterior-1.2.0/posterior/vignettes/rvar.Rmd                                |  960 +++---
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More information about posterior at CRAN
Permanent link

Package pedprobr updated to version 0.6.1 with previous version 0.6.0 dated 2022-01-03

Title: Probability Computations on Pedigrees
Description: An implementation of the Elston-Stewart algorithm for calculating pedigree likelihoods given genetic marker data (Elston and Stewart (1971) <doi:10.1159/000152448>). The standard algorithm is extended to allow inbred founders. 'pedprobr' is part of the 'ped suite', a collection of packages for pedigree analysis in R. In particular, 'pedprobr' depends on 'pedtools' for pedigree manipulations and 'pedmut' for mutation modelling. For more information, see 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedprobr versions 0.6.0 dated 2022-01-03 and 0.6.1 dated 2022-01-05

 DESCRIPTION       |   11 +++++------
 MD5               |   10 +++++-----
 NEWS.md           |    7 +++++++
 R/merlin.R        |   48 +++++++++++++++++++++++++++++++++++++++++-------
 build/partial.rdb |binary
 man/merlin.Rd     |   18 ++++++++++++++----
 6 files changed, 72 insertions(+), 22 deletions(-)

More information about pedprobr at CRAN
Permanent link

Package splm (with last version 1.4-11) was removed from CRAN

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

2018-07-14 1.4-11
2017-11-06 1.4-10
2017-09-28 1.4-9
2016-11-29 1.4-6
2014-12-20 1.3-7
2013-07-02 1.1-0
2012-04-15 1.0-00

Permanent link
Package tidymv updated to version 3.3.0 with previous version 3.2.1 dated 2021-04-21

Title: Tidy Model Visualisation for Generalised Additive Models
Description: Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.
Author: Stefano Coretta [aut, cre], Jacolien van Rij [cph] (Imported functions from itsadug), Martijn Wieling [cph] (Imported functions from itsadug)
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

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Package stabiliser updated to version 0.1.1 with previous version 0.1.0 dated 2021-08-10

Title: Stabilising Variable Selection
Description: A stable approach to variable selection through stability selection and the use of an objective threshold based on a model from permuted data. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
Author: Robert Hyde [aut, cre] (<https://orcid.org/0000-0002-8705-9405>), Martin Green [aut], Eliana Lima [aut]
Maintainer: Robert Hyde <robert.hyde4@nottingham.ac.uk>

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Package sidrar updated to version 0.2.7 with previous version 0.2.6 dated 2021-08-02

Title: An Interface to IBGE's SIDRA API
Description: Allows the user to connect with IBGE's (Instituto Brasileiro de Geografia e Estatistica, see <https://www.ibge.gov.br/> for more information) SIDRA API in a flexible way. SIDRA is the acronym to "Sistema IBGE de Recuperacao Automatica" and is the system where IBGE turns available aggregate data from their researches.
Author: Renato Prado Siqueira [aut, cre]
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>

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Package shinyChakraUI updated to version 1.1.1 with previous version 1.1.0 dated 2021-12-21

Title: A Wrapper of the 'React' Library 'Chakra UI' for 'Shiny'
Description: Makes the 'React' library 'Chakra UI' usable in 'Shiny' apps. 'Chakra UI' components include alert dialogs, drawers (sliding panels), menus, modals, popovers, sliders, and more.
Author: Stéphane Laurent [aut, cre], Segun Adebayo [cph] ('Chakra UI' library (https://chakra-ui.com/)), David Kaye [ctb] ('json-normalize.js'), RubyLouvre [cph] ('jsx-parser' library), Terence Eden [cph] ('SuperTinyIcons' library (https://github.com/edent/SuperTinyIcons/)), Ionic (http://ionic.io/) [cph]
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

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Package getProxy updated to version 1.13 with previous version 1.12 dated 2018-08-20

Title: Get Free Proxy IP and Port
Description: Allows get address and port of the free proxy server, from one of two services <http://gimmeproxy.com/> or <https://getproxylist.com/>. And it's easy to redirect your Internet connection through a proxy server.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package FAOSTAT updated to version 2.2.3 with previous version 2.2.1 dated 2020-11-13

Title: Download Data from the FAOSTAT Database
Description: Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.
Author: Michael C. J. Kao <michael.kao@fao.org>, Markus Gesmann, Filippo Gheri
Maintainer: Paul Rougieux <paul.rougieux@gmail.com>

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Package cmfrec updated to version 3.3.1 with previous version 3.3.0 dated 2022-01-03

Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization, Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a matrix 'X' as the product of two low-dimensional matrices, optionally aided with secondary information matrices about rows and/or columns of 'X' which are also factorized using the same latent components. The intended usage is for recommender systems, dimensionality reduction, and missing value imputation. Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky, (2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model, (Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>), or the enhanced model with 'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>), with or without side information. Can use gradient-based procedures or alternating-least squares procedures (Koren, Bell, Volinsky, (2009) <doi:10.1109/MC.2009.263>), with either a Cholesky solver, a faster conjugate gradient solver (Takacs, Pilaszy, Tikk, (2011) <doi:10.1145/2043932.2043987>), or a non-negative coordinate descent solver (Franc, Hlavac, Navara, (2005) <doi:10.1007/11556121_50>), providing efficient methods for sparse and dense data, and mixtures thereof. Supports L1 and L2 regularization in the main models, offers alternative most-popular and content-based models, and implements functionality for cold-start recommendations and imputation of 2D data.
Author: David Cortes [aut, cre, cph], Jorge Nocedal [cph] (Copyright holder of included LBFGS library), Naoaki Okazaki [cph] (Copyright holder of included LBFGS library), David Blackman [cph] (Copyright holder of original Xoshiro code), Sebastiano Vigna [cph] (Copyright holder of original Xoshiro code)
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package affluenceIndex updated to version 2.1 with previous version 2.0 dated 2021-09-29

Title: Affluence (Richness) Indices
Description: Enables to compute the statistical indices of affluence (richness) with bootstrap errors, and inequality and polarization indices. Moreover, gives the possibility of calculation of Medeiros affluence line. In 2.1 version some simple errors are fixed.
Author: Alicja Wolny-Dominiak and Anna Saczewska-Piotrowska
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>

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Package unitizer updated to version 1.4.16 with previous version 1.4.15 dated 2021-08-01

Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Author: Brodie Gaslam [aut, cre], R Core Team [cph] (Traceback function sources.)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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Package OwenQ updated to version 1.0.5 with previous version 1.0.4 dated 2021-09-20

Title: Owen Q-Function
Description: Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen's algorithm (1965) <doi:10.1093/biomet/52.3-4.437>. It is useful for the calculation of the power of equivalence tests.
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

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Package fishmethods updated to version 1.11-3 with previous version 1.11-2 dated 2021-07-16

Title: Fishery Science Methods and Models
Description: Functions for applying a wide range of fisheries stock assessment methods.
Author: Gary A. Nelson <gary.nelson@mass.gov>
Maintainer: Gary A. Nelson <gary.nelson@mass.gov>

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Package lcmm updated to version 1.9.4 with previous version 1.9.3 dated 2021-06-21

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models, mixed models for curvilinear outcomes or mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

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Package DeCAFS updated to version 3.3.1 with previous version 3.2.3 dated 2021-04-09

Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

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Package weightQuant updated to version 1.0.1 with previous version 1.0 dated 2018-12-30

Title: Weights for Incomplete Longitudinal Data and Quantile Regression
Description: Estimation of observation-specific weights for incomplete longitudinal data and bootstrap procedure for weighted quantile regressions. See Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details <doi:10.1177/0962280220909986>.
Author: Viviane Philipps
Maintainer: Viviane Philipps <Viviane.Philipps@u-bordeaux.fr>

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Package diversityForest updated to version 0.3.3 with previous version 0.3.2 dated 2022-01-04

Title: Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests and the basic form of diversity forests that uses univariable, binary splitting [2]. Interaction forests (IFs) are ensembles of decision trees that model quantitative and qualitative interaction effects using bivariable splitting. IFs come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that feature quantitative and qualitative interaction effects with high predictive relevance. IFs and EIM focus on well interpretable forms of interactions. The package also offers plot functions for visualising the estimated forms of interaction effects. Categorical, metric, and survival outcomes are supported. This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. References: [1] Hornung, R. & Boulesteix, A.-L. (2021) Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Technical Report No. 237, Department of Statistics, University of Munich, <doi:10.5282/ubm/epub.75269>. [2] Hornung, R. (2022) Diversity forests: Using split sampling to enable innovative complex split procedures in random forests. SN Computer Science 3(2):1, <doi:10.1007/s42979-021-00920-1>.
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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Package compositions updated to version 2.0-4 with previous version 2.0-2 dated 2021-07-14

Title: Compositional Data Analysis
Description: Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Author: K. Gerald van den Boogaart <boogaart@hzdr.de>, Raimon Tolosana-Delgado, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>

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Package rwhatsapp updated to version 0.2.4 with previous version 0.2.3 dated 2020-09-19

Title: Import and Handling for 'WhatsApp' Chat Logs
Description: A straightforward, easy-to-use and robust parsing package which aims to digest history files from the popular messenger service 'WhatsApp' in all locales and from all devices.
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <Gruber@europa-uni.de>

Diff between rwhatsapp versions 0.2.3 dated 2020-09-19 and 0.2.4 dated 2022-01-05

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New package rsdNE with initial version 1.0.0
Package: rsdNE
Title: Response Surface Designs with Neighbour Effects (rsdNE)
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Response surface designs with neighbour effects are suitable for experimental situations where it is expected that the treatment combination administered to one experimental unit may affect the response on neighboring units as well as the response on the unit to which it is applied. Integrating these effects in the response surface model improves the experiment's precision (Jaggi, S., Sarika and Sharma, V.K. (2010)<http://krishi.icar.gov.in/jspui/handle/123456789/4364>; Verma A., Jaggi S., Varghese, E.,Varghese, C.,Bhowmik, A., Datta, A. and Hemavathi M. (2021)<DOI: 10.1080/03610918.2021.1890123>). This package includes sym(), asym1(), asym2() functions that generates response surface designs which are rotatable under a polynomial model of a given order without interaction term incorporating neighbour effects.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-01-04 16:43:13 UTC; Ashutosh
Author: Ashutosh Dalal [aut, cre], Seema Jaggi [aut, ctb], Eldho Varghese [aut, ctb], Subhasish Sarkar [aut], Arpan Bhowmik [aut], Cini Varghese [aut], Anindita Datta [aut], Soumen Pal [aut]
Date/Publication: 2022-01-05 10:10:05 UTC

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Package RcppParallel updated to version 5.1.5 with previous version 5.1.4 dated 2021-05-04

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 5.1.4 dated 2021-05-04 and 5.1.5 dated 2022-01-05

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Package nser updated to version 1.4.0 with previous version 1.3.4 dated 2021-10-27

Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India for Equities and Equity Derivatives (F&O)
Description: Download Present & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives(F&O) segment. Data source <https://www.nseindia.com/>.
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>

Diff between nser versions 1.3.4 dated 2021-10-27 and 1.4.0 dated 2022-01-05

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Package meteoland updated to version 1.0.2 with previous version 1.0.1 dated 2021-11-29

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between meteoland versions 1.0.1 dated 2021-11-29 and 1.0.2 dated 2022-01-05

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New package SuRF.vs with initial version 1.1.0
Package: SuRF.vs
Title: Subsampling Ranking Forward Selection (SuRF)
Version: 1.1.0
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Depends: R (>= 3.2.3)
Imports: glmnet, survival, dplyr
Suggests: foreach, parallel, doParallel, knitr
Author: Lihui Liu [aut], Toby Kenney [aut, cre]
Description: Performs variable selection based on subsampling, ranking forward selection. Xo is the matrix of predictor variables. y is the response variable. Currently only binary responses using logistic regression are supported. X is a matrix of additional predictors which should be scaled to have sum 1 prior to analysis. fold is the number of folds for cross-validation. Alpha is the parameter for the elastic net method used in the subsampling procedure: the default value of 1 corresponds to LASSO. prop is the proportion of variables to remove in the each subsample. weights indicates whether observations should be weighted by class size. When the class sizes are unbalanced, weighting observations can improve results. B is the number of subsamples to use for ranking the variables. C is the number of permutations to use for estimating the critical value of the null distribution. If the 'doParallel' package is installed, the function can be run in parallel by setting ncores to the number of threads to use. If the default value of 1 is used, or if the 'doParallel' package is not installed, the function does not run in parallel. display.progress indicates whether the function should display messages indicating its progress. family is a family variable for the glm() fitting. Note that the 'glmnet' package does not permit the use of nonstandard link functions, so will always use the default link function. However, the glm() fitting will use the specified link. The default is binomial with logistic regression, because this is a common use case. pval is the p-value for inclusion of a variable in the model. Under the null case, the number of false positives will be geometrically distributed with this as probability of success, so if this parameter is set to p, the expected number of false positives should be p/(1-p).
Encoding: UTF-8
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-04 10:58:33 UTC; tkenney
Repository: CRAN
Date/Publication: 2022-01-05 09:20:04 UTC

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New package rego with initial version 1.2.2
Package: rego
Title: Automatic Time Series Forecasting and Missing Value Imputation
Version: 1.2.2
Date: 2022-01-04
Maintainer: Davide Altomare <info@channelattribution.net>
Description: Machine learning algorithm for predicting and imputing time series. It can automatically set all the parameters needed, thus in the minimal configuration it only requires the target variable and the dependent variables if present. It can address large problems with hundreds or thousands of dependent variables and problems in which the number of dependent variables is greater than the number of observations. Moreover it can be used not only for time series but also for any other real valued target variable. The algorithm implemented includes a Bayesian stochastic search methodology for model selection and a robust estimation based on bootstrapping. 'rego' is fast because all the code is C++.
License: MIT + file LICENSE
URL: https://www.channelattribution.net/docs/rego
BugReports: https://github.com/DavideAltomare/rego/issues
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2022-01-04 15:56:33 UTC; davide
Author: Davide Altomare [cre, aut], David Loris [aut]
Repository: CRAN
Date/Publication: 2022-01-05 10:00:02 UTC

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Package o2plsda updated to version 0.0.14 with previous version 0.0.12 dated 2021-11-19

Title: Multiomics Data Integration
Description: Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.
Author: Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]
Maintainer: Kai Guo <guokai8@gmail.com>

Diff between o2plsda versions 0.0.12 dated 2021-11-19 and 0.0.14 dated 2022-01-05

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New package MLDataR with initial version 0.1.1
Package: MLDataR
Title: Collection of Machine Learning Datasets for Supervised Machine Learning
Version: 0.1.1
Maintainer: Gary Hutson <hutsons-hacks@outlook.com>
Description: Contains a collection of datasets for working with machine learning tasks. It will contain datasets for supervised machine learning Jiang (2020)<doi:10.1016/j.beth.2020.05.002> and will include datasets for classification and regression. The aim of this package is to use data generated around health and other domains.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/StatsGary/MLDataR/issues
Imports: ConfusionTableR, dplyr, parsnip, rsample, recipes, workflows, ranger
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-04 11:01:05 UTC; garyh
Author: Gary Hutson [aut, cre] (<https://orcid.org/0000-0003-3534-6143>)
Repository: CRAN
Date/Publication: 2022-01-05 09:20:07 UTC

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New package MetBrewer with initial version 0.1.0
Package: MetBrewer
Title: Color Palettes Inspired by Works at the Metropolitan Museum of Art
Version: 0.1.0
Author: Blake Robert Mills
Maintainer: Blake Robert Mills <blakerobertmills@gmail.com>
Description: Palettes Inspired by Works at the Metropolitan Museum of Art in New York. Currently contains 50 color schemes and checks for colorblind-friendliness of palettes. Colorblind accessibility checked using Jakub Nowosad's package 'colorblindcheck'<https://nowosad.github.io/colorblindcheck/>.
License: CC0
Encoding: UTF-8
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2022-01-04 15:07:51 UTC; blake
Repository: CRAN
Date/Publication: 2022-01-05 09:50:09 UTC

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New package hfr with initial version 0.5.0
Package: hfr
Title: Estimate Hierarchical Feature Regression Models
Version: 0.5.0
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>
Description: Provides functions for the estimation, plotting, predicting and cross-validation of hierarchical feature regression models as described in Pfitzinger (2021) <arXiv:2107.04831>.
License: GPL-2
Imports: RcppArmadillo, quadprog, stats, dendextend, RColorBrewer
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-04 11:06:06 UTC; johann
Repository: CRAN
Date/Publication: 2022-01-05 09:20:02 UTC

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Package gravity updated to version 1.0 with previous version 0.9.9 dated 2020-07-27

Title: Estimation Methods for Gravity Models
Description: A wrapper of different standard estimation methods for gravity models. This package provides estimation methods for log-log models and multiplicative models.
Author: Anna-Lena Woelwer [aut, cph], Jan Pablo Burgard [aut, cph], Joshua Kunst [aut, cph], Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Romain Francois [ctb] (adapted parts of the code to use dplyr 0.8.0), Lionel Henry [ctb] (simplified parts of the code), Sarah Johnson [ctb] (improved the double demeaning function), Hrisyana Doytchinova [rev] (sent us different suggestions and bug reports)
Maintainer: Mauricio Vargas <mv.sepulveda@mail.utoronto.ca>

Diff between gravity versions 0.9.9 dated 2020-07-27 and 1.0 dated 2022-01-05

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New package GFM with initial version 1.1.0
Package: GFM
Title: Generalized Factor Model
Version: 1.1.0
Date: 2021-12-24
License: GPL-3
Author: Wei Liu [aut, cre], Huazhen Lin [aut], Shurong Zheng [aut], Jin Liu [aut]
Maintainer: Wei Liu <weiliu@smail.swufe.edu.cn>
Description: Generalized factor model for ultra-high dimensional variables with mixed types. We develop a two-step iterative procedure so that each update can be carried out in parallel across all variables and samples. The fast computation version is provided for ultra-high dimensional data, see examples for more details. More details can be referred to Wei Liu, Huazhen Lin, Shurong Zheng and Jin Liu. (2021) <doi:10.1080/01621459.2021.1999818>.
URL: https://github.com/feiyoung/GFM
BugReports: https://github.com/feiyoung/GFM/issues
Depends: doSNOW, parallel, R (>= 3.5.0)
Imports: MASS, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-04 06:20:59 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2022-01-05 09:10:02 UTC

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New package GeoWeightedModel with initial version 0.9.1
Package: GeoWeightedModel
Title: User-Friendly Interface for Geographically-Weighted Models
Version: 0.9.1
Maintainer: Javier De La Hoz Maestre <jdelahozmaestre@gmail.com>
Description: Contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Techniques from a subset of spatial statistics known as geographically weighted (GW) models. Contains methods described by Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007 <doi:10.1111/j.1538-4632.2007.00709.x>.
License: GPL-3
BugReports: https://github.com/JavierDeLaHoz/GeoWeightedModel/issues
Imports: beepr, cartography, dplyr, DT, GWmodel, raster, readxl, shiny, shinyalert, shinyBS, shinybusy, shinydashboard, shinyjs, shinyWidgets, sp
Suggests: knitr, rgdal, rmarkdown, spdep
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-04 14:01:15 UTC; jdelahozmaestre
Author: Javier De La Hoz Maestre [cre, aut] (<https://orcid.org/0000-0001-7779-0803>), María José Fernández Gómez [aut] (<https://orcid.org/0000-0002-5530-6416>), Susana Mendez [aut] (<https://orcid.org/0000-0001-9681-3169>)
Repository: CRAN
Date/Publication: 2022-01-05 09:40:02 UTC

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Package epitweetr updated to version 2.0.3 with previous version 0.1.28 dated 2021-04-08

Title: Early Detection of Public Health Threats from Twitter Data
Description: It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords.
Author: Laura Espinosa [aut, fnd, cre] (<https://orcid.org/0000-0003-0748-9657>, Project manager, author of the design and concept of the package, and package maintainer), Francisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>, Author of the package and original code), Ariana Wijermans [ctb] (Contributor to the design and concept of the package), Thomas Mollet [ctb, fnd] (Business owner of the project, and contributor to the design and concept of the package), Adrian Prodan [ctb], Thomas Czernichow [ctb], Maria Prieto Gonzalez [ctb], Esther Kissling [ctb], Michael Höhle [ctb]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>

Diff between epitweetr versions 0.1.28 dated 2021-04-08 and 2.0.3 dated 2022-01-05

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Package dsb updated to version 0.3.0 with previous version 0.2.0 dated 2021-09-02

Title: Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)
Description: This lightweight R package provides a method for normalizing and denoising protein expression data from droplet based single cell experiments. Raw protein Unique Molecular Index (UMI) counts from sequencing DNA-conjugated antibodies in droplets (e.g. 'CITE-seq') have substantial measurement noise. Our experiments and computational modeling revealed two major components of this noise: 1) protein-specific noise originating from ambient, unbound antibody encapsulated in droplets that can be accurately inferred via the expected protein counts detected in empty droplets, and 2) droplet/cell-specific noise revealed via the shared variance component associated with isotype antibody controls and background protein counts in each cell. This package normalizes and removes both of these sources of noise from raw protein data derived from methods such as 'CITE-seq', 'REAP-seq', 'ASAP-seq', 'TEA-seq', 'proteogenomic' data from the Mission Bio platform, etc. See the vignette for tutorials on how to integrate dsb with 'Seurat', 'Bioconductor' and the AnnData class in 'Python'. Please also see our preprint Mulè M.P., Martins A.J., and Tsang J.S. (2020) <https://www.biorxiv.org/content/10.1101/2020.02.24.963603v3> for more details on the dsb method.
Author: Matthew Mulè [aut, cre] (<https://orcid.org/0000-0001-8457-2716>), Andrew Martins [aut] (<https://orcid.org/0000-0002-1832-1924>), John Tsang [pdr] (<https://orcid.org/0000-0003-3186-3047>)
Maintainer: Matthew Mulè <mattmule@gmail.com>

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New package APCtools with initial version 1.0.0
Package: APCtools
Title: Routines for Descriptive and Model-Based APC Analysis
Version: 1.0.0
Maintainer: Alexander Bauer <alexander.bauer@stat.uni-muenchen.de>
Description: Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments. The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis. Sophisticated functions are available both for descriptive and regression model-based analyses. For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization techniques building on the concept of Lexis diagrams. Model-based analyses build on the separation of the temporal dimensions based on generalized additive models, where a tensor product interaction surface (usually between age and period) is utilized to represent the third dimension (usually cohort) on its diagonal. Such tensor product surfaces can also be estimated while accounting for further covariates in the regression model. See Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological details.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggpubr, checkmate, knitr, ggplot2, colorspace, dplyr, mgcv, scales, tidyr
Suggests: testthat (>= 3.0.0), rmarkdown, covr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2022-01-04 11:19:39 UTC; alex
Author: Alexander Bauer [aut, cre] (<https://orcid.org/0000-0003-3495-5131>), Maximilian Weigert [aut] (<https://orcid.org/0000-0003-4400-134X>), Hawre Jalal [aut] (<https://orcid.org/0000-0002-8224-6834>), Pauline Hohenemser [ctb]
Repository: CRAN
Date/Publication: 2022-01-05 09:20:10 UTC

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Package Interpol.T (with last version 2.1.1) was removed from CRAN

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

2013-12-03 2.1.1
2012-08-03 2.1
2012-07-17 2.0
2012-02-01 1.0

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Package MethodCompare updated to version 0.1.2 with previous version 0.1.1 dated 2021-11-22

Title: Bias and Precision Plots
Description: Implementation of the methodology from the paper entitled "Effective plots to assess bias and precision in method comparison studies" published in Statistical Methods in Medical Research, P. Taffé (2018) <doi:10.1177/0962280218759693>.
Author: Mingkai Peng, Patrick Taffé, Tyler Williamson
Maintainer: Patrick Taffé <patrick.taffe@unisante.ch>

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Package moonBook updated to version 0.3.1 with previous version 0.2.4 dated 2021-01-08

Title: Functions and Datasets for the Book by Keon-Woong Moon
Description: Several analysis-related functions for the book entitled "R statistics and graph for medical articles" (written in Korean), version 1, by Keon-Woong Moon with Korean demographic data with several plot functions.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package tidybayes updated to version 3.0.2 with previous version 3.0.1 dated 2021-08-22

Title: Tidy Data and 'Geoms' for Bayesian Models
Description: Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
Author: Matthew Kay [aut, cre], Timothy Mastny [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

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Package FuzzyResampling updated to version 0.4.0 with previous version 0.3.1 dated 2021-12-14

Title: Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers
Description: The classical (i.e. Efron's, see Efron and Tibshirani (1994, ISBN:978-0412042317) "An Introduction to the Bootstrap") bootstrap is widely used for both the real (i.e. "crisp") and fuzzy data. The main aim of the algorithms implemented in this package is to overcome a problem with repetition of a few distinct values and to create fuzzy numbers, which are "similar" (but not the same) to values from the initial sample. To do this, different characteristics of triangular/trapezoidal numbers are kept (like the value, the ambiguity, etc., see Grzegorzewski et al. <doi:10.2991/eusflat-19.2019.68>, Grzegorzewski et al. (2020) <doi:10.2991/ijcis.d.201012.003>, Grzegorzewski et al. (2020) <doi:10.34768/amcs-2020-0022>, Romaniuk and Hryniewicz (2019) <doi:10.1007/s00500-018-3251-5>). Some additional procedures related to these resampling methods are also provided, like calculation of the Bertoluzza et al.'s distance (aka the mid/spread distance, see Bertoluzza et al. (1995) "On a new class of distances between fuzzy numbers") and estimation of the p-value of the one-sample bootstrapped test for the mean (see Lubiano et al. (2016, <doi:10.1016/j.ejor.2015.11.016>)). Additionally, there are procedures which randomly generate trapezoidal fuzzy numbers using some well-known statistical distributions.
Author: Maciej Romaniuk [cre], Przemyslaw Grzegorzewski [aut], Olgierd Hryniewicz [aut]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

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