Thu, 06 Jul 2023

Package usdm updated to version 2.1-6 with previous version 1.1-18 dated 2017-06-25

Title: Uncertainty Analysis for Species Distribution Models
Description: This is a framework that aims to provide methods and tools for assessing the impact of different sources of uncertainties (e.g.positional uncertainty) on performance of species distribution models (SDMs).)
Author: Babak Naimi
Maintainer: Babak Naimi <naimi.b@gmail.com>

Diff between usdm versions 1.1-18 dated 2017-06-25 and 2.1-6 dated 2023-07-06

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Package ProbBreed updated to version 1.0.2 with previous version 1.0.1 dated 2023-06-26

Title: Probability Theory for Selecting Candidates in Plant Breeding
Description: Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context [Dias et al. (2022) <doi:10.1007/s00122-022-04041-y>]. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.
Author: Saulo Chaves [aut, cre] , Kaio Dias [aut, cph] , Matheus Krause [aut]
Maintainer: Saulo Chaves <saulo.chaves@ufv.br>

Diff between ProbBreed versions 1.0.1 dated 2023-06-26 and 1.0.2 dated 2023-07-06

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Package svrep updated to version 0.6.0 with previous version 0.5.1 dated 2023-05-17

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider [aut, cre]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

Diff between svrep versions 0.5.1 dated 2023-05-17 and 0.6.0 dated 2023-07-06

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Package ROI.plugin.optimx updated to version 1.0-1 with previous version 1.0-0 dated 2020-08-29

Title: 'optimx' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx' package.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.optimx versions 1.0-0 dated 2020-08-29 and 1.0-1 dated 2023-07-06

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Package ROI.plugin.ecos updated to version 1.0-2 with previous version 1.0-0 dated 2020-08-30

Title: 'ECOS' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the Embedded Conic Solver ('ECOS') for solving conic optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.ecos versions 1.0-0 dated 2020-08-30 and 1.0-2 dated 2023-07-06

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Package respirometry updated to version 1.4.0 with previous version 1.3.0 dated 2021-03-05

Title: Tools for Conducting and Analyzing Respirometry Experiments
Description: Provides tools to enable the researcher to more precisely conduct respirometry experiments. Strong emphasis is on aquatic respirometry. Tools focus on helping the researcher setup and conduct experiments. Functions for analysis of resulting respirometry data are also provided. This package provides tools for intermittent, flow-through, and closed respirometry techniques.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

Diff between respirometry versions 1.3.0 dated 2021-03-05 and 1.4.0 dated 2023-07-06

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Package rEDM updated to version 1.14.3 with previous version 1.14.0 dated 2023-01-09

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] , Cameron Smith [aut] , George Sugihara [aut, ccp] , Ethan Deyle [aut] , Erik Saberski [ctb] , Hao Ye [ctb] , The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

Diff between rEDM versions 1.14.0 dated 2023-01-09 and 1.14.3 dated 2023-07-06

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Package mrfDepth updated to version 1.0.14 with previous version 1.0.13 dated 2020-08-26

Title: Depth Measures in Multivariate, Regression and Functional Settings
Description: Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut], Mia Hubert [aut], Peter Rousseeuw [aut], Jakob Raymaekers [aut, cre], Kaveh Vakili [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

Diff between mrfDepth versions 1.0.13 dated 2020-08-26 and 1.0.14 dated 2023-07-06

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Package move updated to version 4.2.4 with previous version 4.2.2 dated 2023-06-07

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move versions 4.2.2 dated 2023-06-07 and 4.2.4 dated 2023-07-06

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Package mapsf updated to version 0.7.0 with previous version 0.6.1 dated 2022-12-12

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Hugues Pecout [ctb], Ronan Ysebaert [ctb], Ian Fellows [cph] , Jim Lemon [cph] , Florian Zenoni [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between mapsf versions 0.6.1 dated 2022-12-12 and 0.7.0 dated 2023-07-06

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Package cleangeo updated to version 0.3 with previous version 0.2-4 dated 2021-04-17

Title: Cleaning Geometries from Spatial Objects
Description: Provides a set of utility tools to inspect spatial objects, facilitate handling and reporting of topology errors and geometry validity issue with sp objects. Finally, it provides a geometry cleaner that will fix all geometry problems, and eliminate (at least reduce) the likelihood of having issues when doing spatial data processing.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between cleangeo versions 0.2-4 dated 2021-04-17 and 0.3 dated 2023-07-06

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Package choroplethr updated to version 3.7.2 with previous version 3.7.1 dated 2022-10-05

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.
Author: Ari Lamstein [aut, cre], Brian Johnson [ctb], Trulia, Inc. [cph]
Maintainer: Ari Lamstein <ari@lamsteinconsulting.com>

Diff between choroplethr versions 3.7.1 dated 2022-10-05 and 3.7.2 dated 2023-07-06

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Package bartMachine updated to version 1.3.4.1 with previous version 1.3.4 dated 2023-06-26

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner and Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package ISS updated to version 1.0.0 with previous version 0.1.3 dated 2023-05-20

Title: Isotonic Subgroup Selection
Description: Methodology for subgroup selection in the context of isotonic regression including methods for sub-Gaussian errors, classification, homoscedastic Gaussian errors and quantile regression. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <arXiv:2305.04852v2>.
Author: Manuel M. Mueller [aut, cre], Henry W. J. Reeve [aut], Timothy I. Cannings [aut], Richard J. Samworth [aut]
Maintainer: Manuel M. Mueller <mm2559@cam.ac.uk>

Diff between ISS versions 0.1.3 dated 2023-05-20 and 1.0.0 dated 2023-07-06

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Package geoBayes updated to version 0.7.2 with previous version 0.7.1 dated 2022-04-06

Title: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
Description: Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
Author: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>, Vivekananda Roy <vroy@iastate.edu>
Maintainer: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>

Diff between geoBayes versions 0.7.1 dated 2022-04-06 and 0.7.2 dated 2023-07-06

 geoBayes-0.7.1/geoBayes/R/expectationsse.R     |only
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Package testthat updated to version 3.1.10 with previous version 3.1.9 dated 2023-06-15

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb] )
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between testthat versions 3.1.9 dated 2023-06-15 and 3.1.10 dated 2023-07-06

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Package rsprite2 updated to version 0.2.1 with previous version 0.2.0 dated 2022-09-27

Title: Identify Distributions that Match Reported Sample Parameters (SPRITE)
Description: The SPRITE algorithm creates possible distributions of discrete responses based on reported sample parameters, such as mean, standard deviation and range (Heathers et al., 2018, <doi:10.7287/peerj.preprints.26968v1>). This package implements it, drawing heavily on the code for Nick Brown's 'rSPRITE' Shiny app <https://shiny.ieis.tue.nl/sprite/>. In addition, it supports the modeling of distributions based on multi-item (Likert-type) scales and the use of restrictions on the frequency of particular responses.
Author: Lukas Wallrich [aut, cre] , Aurelien Allard [ctb]
Maintainer: Lukas Wallrich <lukas.wallrich@gmail.com>

Diff between rsprite2 versions 0.2.0 dated 2022-09-27 and 0.2.1 dated 2023-07-06

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 MD5                  |   18 +++++++++---------
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Permanent link

Package readxl updated to version 1.4.3 with previous version 1.4.2 dated 2023-02-09

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Posit, PBC [cph, fnd] , Marcin Kalicinski [ctb, cph] , Komarov Valery [ctb, cph] , Christophe Leitienne [ctb, cph] , Bob Colbert [ctb, cph] , David Hoerl [ctb, cph] , Evan Miller [ctb, cph]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between readxl versions 1.4.2 dated 2023-02-09 and 1.4.3 dated 2023-07-06

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 tests/testthat/test-problems.R      |   30 +--
 tests/testthat/test-read-excel.R    |   98 +++++-----
 tests/testthat/test-sheets.R        |   49 ++---
 tests/testthat/test-trim-ws.R       |    6 
 vignettes/cell-and-column-types.Rmd |   20 ++
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Package madrat updated to version 3.3.5 with previous version 3.3.4 dated 2023-07-06

Title: May All Data be Reproducible and Transparent (MADRaT) *
Description: Provides a framework which should improve reproducibility and transparency in data processing. It provides functionality such as automatic meta data creation and management, rudimentary quality management, data caching, work-flow management and data aggregation. * The title is a wish not a promise. By no means we expect this package to deliver everything what is needed to achieve full reproducibility and transparency, but we believe that it supports efforts in this direction.
Author: Jan Philipp Dietrich [aut, cre], Lavinia Baumstark [aut], Stephen Wirth [aut], Anastasis Giannousakis [aut], Renato Rodrigues [aut], Benjamin Leon Bodirsky [aut], Ulrich Kreidenweis [aut], David Klein [aut], Pascal Fuehrlich [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

Diff between madrat versions 3.3.4 dated 2023-07-06 and 3.3.5 dated 2023-07-06

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 MD5                               |   20 
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 11 files changed, 192 insertions(+), 2033 deletions(-)

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Package ggDoE updated to version 0.7.9 with previous version 0.7.8 dated 2022-08-23

Title: Modern Graphs for Design of Experiments with 'ggplot2'
Description: Generate commonly used plots in the field of design of experiments using 'ggplot2'. 'ggDoE' currently supports the following plots: alias matrix, box cox transformation, boxplots, lambda plot, regression diagnostic plots, half normal plots, main and interaction effect plots for factorial designs, contour plots for response surface methodology, Pareto plot, and two dimensional projections of a latin hypercube design.
Author: Jose Toledo Luna [aut, cre]
Maintainer: Jose Toledo Luna <toledo60@protonmail.com>

Diff between ggDoE versions 0.7.8 dated 2022-08-23 and 0.7.9 dated 2023-07-06

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 ggDoE-0.7.9/ggDoE/R/lambda_plot.R             |   27 +--
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New package TOmicsVis with initial version 1.1.8
Package: TOmicsVis
Title: Transcriptome Visualization Process Scheme
Version: 1.1.8
Description: Transcriptome visualization from sample trait statistics to gene expression analysis. Six categories include "Samples Statistics", "Traits Analysis", "Differential Expression Analysis", "Advanced Analysis", "GO and KEGG Enrichment", "Tables Operations", with complete sample data.
URL: https://benben-miao.github.io/TOmicsVis/
BugReports: https://github.com/benben-miao/TOmicsVis/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stats, utils, grid, graphics, grDevices, ggplot2, ggsci, reshape2, ggpubr, ggcorrplot, ggforce, vegan, venn, circlize, randomcoloR, ComplexHeatmap, EnhancedVolcano, GGally, survival, survminer, Rtsne, dplyr, tidyr, clusterProfiler, enrichplot, ggnewscale, igraph, WGCNA, stringr, pheatmap, RColorBrewer, ggpolypath, factoextra, ggrepel
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-07-06 14:28:37 UTC; benben.miao
Author: Benben Miao [aut, cre] , Wei Dong [aut]
Maintainer: Benben Miao <benben.miao@outlook.com>
Repository: CRAN
Date/Publication: 2023-07-06 19:10:08 UTC

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New package cocosoR with initial version 0.1.0
Package: cocosoR
Title: CoCoSo - Combined Compromise Solution Method for MCDA
Version: 0.1.0
Description: Provides a set of functions to implement the Combined Compromise Solution (CoCoSo) Method created by Yazdani, Zarate, Zavadskas and Turskis (2019) <doi:10.1108/MD-05-2017-0458>. This method is based on an integrated simple additive weighting and compromise exponentially weighted product model.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-07-06 16:25:24 UTC; floquet
Author: Sergio Floquet [aut, cre] , Marcos Santos [aut]
Maintainer: Sergio Floquet <sergiofloquet@hotmail.com>
Repository: CRAN
Date/Publication: 2023-07-06 19:10:02 UTC

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New package cbass with initial version 0.1
Package: cbass
Version: 0.1
Date: 2023-06-15
Title: Classification -- Bayesian Adaptive Smoothing Splines
Description: Fit multiclass Classification version of Bayesian Adaptive Smoothing Splines (CBASS) to data using reversible jump MCMC. The multiclass classification problem consists of a response variable that takes on unordered categorical values with at least three levels, and a set of inputs for each response variable. The CBASS model consists of a latent multivariate probit formulation, and the means of the latent Gaussian random variables are specified using adaptive regression splines. The MCMC alternates updates of the latent Gaussian variables and the spline parameters. All the spline parameters (variables, signs, knots, number of interactions), including the number of basis functions used to model each latent mean, are inferred. Functions are provided to process inputs, initialize the chain, run the chain, and make predictions. Predictions are made on a probabilistic basis, where, for a given input, the probabilities of each categorical value are produced. See Marrs and Francom (2023) "Mult [...truncated...]
License: GPL-3
NeedsCompilation: no
Packaged: 2023-06-15 16:08:31 UTC; fmarrs3
Author: Frank Marrs [aut, cre] , Devin Francom [aut]
Maintainer: Frank Marrs <fmarrs3@lanl.gov>
Repository: CRAN
Date/Publication: 2023-07-06 19:10:05 UTC

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New package resilience with initial version 2023.1.0
Package: resilience
Title: Predictors of Resilience to a Stressor in a Single-Arm Study
Version: 2023.1.0
Date: 2023-06-18
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Description: Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2023), Biostatistics (To appear).
Depends: R(>= 3.5.0), nptest, parallel, doParallel, foreach
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-07-05 19:42:44 UTC; rvaradh1
Author: Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]
Date/Publication: 2023-07-06 18:40:02 UTC

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Package RcppThread updated to version 2.1.4 with previous version 2.1.3 dated 2022-03-17

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 2.1.3 dated 2022-03-17 and 2.1.4 dated 2023-07-06

 DESCRIPTION                            |    9 ++++-----
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Package nbconv updated to version 1.0.1 with previous version 1.0.0 dated 2023-04-27

Title: Evaluate Arbitrary Negative Binomial Convolutions
Description: Three distinct methods are implemented for evaluating the sums of arbitrary negative binomial distributions. These methods are: Furman's exact probability mass function (Furman (2007) <doi:10.1016/j.spl.2006.06.007>), saddlepoint approximation, and a method of moments approximation. Functions are provided to calculate the density function, the distribution function and the quantile function of the convolutions in question given said evaluation methods. Functions for generating random deviates from negative binomial convolutions and for directly calculating the mean, variance, skewness, and excess kurtosis of said convolutions are also provided.
Author: Gregory Bedwell [aut, cre, cph]
Maintainer: Gregory Bedwell <gregoryjbedwell@gmail.com>

Diff between nbconv versions 1.0.0 dated 2023-04-27 and 1.0.1 dated 2023-07-06

 DESCRIPTION               |    6 ++---
 MD5                       |   36 +++++++++++++++----------------
 NEWS.md                   |   11 +++++++++
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 R/nb_sum_moments.R        |    2 +
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 19 files changed, 195 insertions(+), 57 deletions(-)

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New package MissCP with initial version 0.1.0
Package: MissCP
Title: Change Point Detection with Missing Values
Version: 0.1.0
Author: Yanxi Liu [aut, cre], Abolfazl Safikhani [aut]
Maintainer: Yanxi Liu <liuyanxi@ufl.edu>
Description: A four step change point detection method that can detect break points with the presence of missing values proposed by Liu and Safikhani (2023) <https://drive.google.com/file/d/1a8sV3RJ8VofLWikTDTQ7W4XJ76cEj4Fg/view?usp=drive_link>.
License: GPL-2
Encoding: UTF-8
Imports: stats, graphics, mvtnorm, factoextra, Rcpp, ggplot2, glmnet, sparsevar
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-07-05 23:29:49 UTC; yanxiliu
Repository: CRAN
Date/Publication: 2023-07-06 18:50:20 UTC

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New package lareshiny with initial version 0.0.3
Package: lareshiny
Title: Lares 'shiny' Modules
Version: 0.0.3
Maintainer: Bernardo Lares <laresbernardo@gmail.com>
Description: Useful 'shiny' production-ready modules and helpers such as login window and visualization tools.
License: AGPL-3
Encoding: UTF-8
Imports: dplyr, DT, htmltools, miniUI, shiny, shinydashboard, shinyWidgets
Suggests: h2o, lares
URL: https://github.com/laresbernardo/lareshiny
BugReports: https://github.com/laresbernardo/lareshiny/issues
NeedsCompilation: no
Packaged: 2023-07-06 13:00:57 UTC; bernardo
Author: Bernardo Lares [cre, aut]
Repository: CRAN
Date/Publication: 2023-07-06 19:00:02 UTC

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New package jrSiCKLSNMF with initial version 1.2.1
Package: jrSiCKLSNMF
Title: Multimodal Single-Cell Omics Dimensionality Reduction
Version: 1.2.1
Description: Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), igraph, umap, kknn, ggplot2, methods, stats, rlang, Matrix, data.table,parallel,pbapply,cluster,MASS,clValid,factoextra, foreach,irlba,scran,Rdpack
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-07-05 18:55:48 UTC; Dorothy Ellis
Author: Dorothy Ellis [aut, cre] , Susmita Datta [ths], Kenneth Perkins [ctb] , Renaud Gaujoux [ctb]
Maintainer: Dorothy Ellis <ddemoreellis@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-07-06 18:40:04 UTC

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New package EzGP with initial version 0.1.0
Package: EzGP
Title: Easy-to-Interpret Gaussian Process Models for Computer Experiments
Version: 0.1.0
Description: Fit model for datasets with easy-to-interpret Gaussian process modeling, predict responses for new inputs. The input variables of the datasets can be quantitative, qualitative/categorical or mixed. The output variable of the datasets is a scalar (quantitative). The optimization of the likelihood function can be chosen by the users (see the documentation of EzGP_fit()). The modeling method is published in "EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors" by Qian Xiao, Abhyuday Mandal, C. Devon Lin, and Xinwei Deng (2022) <doi:10.1137/19M1288462>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0), stats (>= 4.2.0)
Imports: methods (>= 4.2.0), nloptr (>= 2.0.3)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-07-05 20:20:10 UTC; 93421
Author: Jiayi Li [cre, aut], Qian Xiao [aut], Abhyuday Mandal [aut], C. Devon Lin [aut], Xinwei Deng [aut]
Maintainer: Jiayi Li <jiayili0123@outlook.com>
Repository: CRAN
Date/Publication: 2023-07-06 18:40:08 UTC

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New package engression with initial version 0.1.1
Package: engression
Title: Engression Modelling
Version: 0.1.1
Description: Fits engression models for nonlinear distributional regression. Predictors and targets can be univariate or multivariate. Functionality includes estimation of conditional mean, estimation of conditional quantiles, or sampling from the fitted distribution. Training is done full-batch on CPU (the python version offers GPU-accelerated stochastic gradient descent). Based on "Engression: Extrapolation for nonlinear regression?" by Xinwei Shen and Nicolai Meinshausen (2023) <arxiv:2307.00835>.
URL: https://github.com/xwshen51/engression/
BugReports: https://github.com/xwshen51/engression/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch
NeedsCompilation: no
Packaged: 2023-07-06 07:34:54 UTC; nicolai
Author: Xinwei Shen [aut], Nicolai Meinshausen [aut, cre]
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2023-07-06 18:50:02 UTC

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Package admiral updated to version 0.11.1 with previous version 0.11.0 dated 2023-06-08

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut], Thomas Neitmann [aut], Samia Kabi [aut], Gordon Miller [aut], Teckla Akinyi [aut], Andrew Smith [aut], Konstantina Koukourikou [aut], Ross Farrugia [aut], Eric Simms [aut], Annie Yang [aut], Robin Koeger [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

Diff between admiral versions 0.11.0 dated 2023-06-08 and 0.11.1 dated 2023-07-06

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New package ACE.CoCo with initial version 0.1
Package: ACE.CoCo
Title: Analysis of Correlated High-Dimensional Expression (ACE) Data
Version: 0.1
Description: A function for estimating factor models. Give factor-adjusted statistics, factor-adjusted mean estimation (one-sample test) or factor-adjusted mean difference estimation (two-sample test).
Maintainer: Peng Wang <wangpeng21@mails.jlu.edu.cn>
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: quantreg
Suggests: mvtnorm, MASS
URL: https://github.com/hongyuan-cao/ACE
NeedsCompilation: no
Packaged: 2023-07-06 08:25:35 UTC; wplyt
Author: Peng Wang [aut, cre], Pengfei Lyu [aut], Shyamal Peddada [aut], Hongyuan Cao [aut]
Repository: CRAN
Date/Publication: 2023-07-06 19:00:05 UTC

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Package ROI.plugin.osqp updated to version 1.0-1 with previous version 1.0-0 dated 2020-09-14

Title: 'osqp' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'OSQP'. More information about 'OSQP' can be found at <https://osqp.org>.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.osqp versions 1.0-0 dated 2020-09-14 and 1.0-1 dated 2023-07-06

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Package ROI.plugin.nloptr updated to version 1.0-1 with previous version 1.0-0 dated 2020-08-29

Title: 'nloptr' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'NLopt' solver for solving nonlinear optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.nloptr versions 1.0-0 dated 2020-08-29 and 1.0-1 dated 2023-07-06

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Package polle updated to version 1.3 with previous version 1.2 dated 2023-02-07

Title: Policy Learning
Description: Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust restricted Q-learning, sequential policy tree learning and outcome weighted learning. See Nordland and Holst (2022) <arXiv:2212.02335> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

Diff between polle versions 1.2 dated 2023-02-07 and 1.3 dated 2023-07-06

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Package ROI.plugin.neos updated to version 1.0-1 with previous version 1.0-0 dated 2020-08-29

Title: 'NEOS' Plug-in for the 'R' Optimization Interface
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with a connection to the 'neos' server. 'ROI' optimization problems can be directly be sent to the 'neos' server and solution obtained in the typical 'ROI' style.
Author: Ronald Hochreiter [aut], Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.neos versions 1.0-0 dated 2020-08-29 and 1.0-1 dated 2023-07-06

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Package ROI.plugin.highs updated to version 1.0-3 with previous version 1.0-2 dated 2022-10-29

Title: 'HiGHS' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'HiGHS'. More information about 'HiGHS' can be found at <https://highs.dev>.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.highs versions 1.0-2 dated 2022-10-29 and 1.0-3 dated 2023-07-06

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Package otrKM updated to version 0.2.1 with previous version 0.2.0 dated 2023-06-23

Title: Optimal Treatment Regimes in Survival Contexts with Kaplan-Meier-Like Estimators
Description: Provide methods for estimating optimal treatment regimes in survival contexts with Kaplan-Meier-like estimators when no unmeasured confounding assumption is satisfied (Jiang, R., Lu, W., Song, R., and Davidian, M. (2017) <doi:10.1111/rssb.12201>) and when no unmeasured confounding assumption fails to hold and a binary instrument is available (Xia, J., Zhan, Z., Zhang, J. (2022) <arXiv:2210.05538>).
Author: Junwen Xia [aut, cre], Zishu Zhan [aut], Jingxiao Zhang [aut]
Maintainer: Junwen Xia <xiajunwen@ruc.edu.cn>

Diff between otrKM versions 0.2.0 dated 2023-06-23 and 0.2.1 dated 2023-07-06

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Package rhino updated to version 1.4.0 with previous version 1.3.1 dated 2023-05-12

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

Diff between rhino versions 1.3.1 dated 2023-05-12 and 1.4.0 dated 2023-07-06

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Package frailtyMMpen updated to version 1.1.1 with previous version 1.0.0 dated 2023-03-24

Title: Efficient Algorithm for High-Dimensional Frailty Model
Description: The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers, Huang, Xu and Zhou (2022) <doi:10.3390/math10040538>, Huang, Xu and Zhou (2023) <doi:10.1177/09622802221133554>.
Author: Xifen Huang [aut], Yunpeng Zhou [aut, cre], Jinfeng Xu [ctb]
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>

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Package admix updated to version 2.1-1 with previous version 2.1-0 dated 2023-03-23

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density (see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>; Patra and Sen (2016) <doi:10.1111/rssb.12148>); Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>). In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)). Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

Diff between admix versions 2.1-0 dated 2023-03-23 and 2.1-1 dated 2023-07-06

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More information about admix at CRAN
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New package tok with initial version 0.1.0
Package: tok
Title: Fast Text Tokenization
Version: 0.1.0
Description: Interfaces with the 'Hugging Face' tokenizers library to provide implementations of today's most used tokenizers such as the 'Byte-Pair Encoding' algorithm <https://huggingface.co/docs/tokenizers/index>. It's extremely fast for both training new vocabularies and tokenizing texts.
License: MIT + file LICENSE
SystemRequirements: Rust tool chain w/ cargo, libclang/llvm-config
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: R6, cli
Suggests: rmarkdown, testthat (>= 3.0.0), hfhub, withr
URL: https://github.com/mlverse/tok
BugReports: https://github.com/mlverse/tok/issues
NeedsCompilation: yes
Packaged: 2023-07-03 09:26:57 UTC; dfalbel
Author: Daniel Falbel [aut, cre], Posit [cph]
Maintainer: Daniel Falbel <daniel@posit.co>
Repository: CRAN
Date/Publication: 2023-07-06 13:00:02 UTC

More information about tok at CRAN
Permanent link

New package suntools with initial version 1.0.0
Package: suntools
Version: 1.0.0
Date: 2023-06-08
Title: Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: methods, sf, stats
Description: Provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4). A resource for researchers and professionals working in fields such as climatology, biology, and renewable energy.
License: GPL (>= 3)
URL: https://github.com/adokter/suntools/
BugReports: https://github.com/adokter/suntools/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-07-05 17:12:26 UTC; alexandertedeschi
Author: Roger Bivand [aut] , Adriaan M. Dokter [ctb, cre] , Pieter Huybrechts [ctb] , Sebastian Luque [aut], Greg Pelletier [ctb], Alexander Tedeschi [ctb]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>
Repository: CRAN
Date/Publication: 2023-07-06 14:00:02 UTC

More information about suntools at CRAN
Permanent link

Package sprtt updated to version 0.2.0 with previous version 0.1.0 dated 2021-08-06

Title: Sequential Probability Ratio Tests Toolbox
Description: It is a toolbox for Sequential Probability Ratio Tests (SPRT), Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>. SPRTs are applied to the data during the sampling process, ideally after each observation. At any stage, the test will return a decision to either continue sampling or terminate and accept one of the specified hypotheses. The seq_ttest() function performs one-sample, two-sample, and paired t-tests for testing one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>). The seq_anova() function allows to perform a sequential one-way fixed effects ANOVA (Steinhilber et al. (2023) <doi:10.31234/osf.io/m64ne>). Learn more about the package by using vignettes "browseVignettes(package = "sprtt")" or go to the website <https://meikesteinhilber.github.io/sprtt/>.
Author: Meike Steinhilber [aut, cre] , Martin Schnuerch [aut, ths] , Anna-Lena Schubert [aut, ths]
Maintainer: Meike Steinhilber <Meike.Steinhilber@aol.com>

Diff between sprtt versions 0.1.0 dated 2021-08-06 and 0.2.0 dated 2023-07-06

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More information about sprtt at CRAN
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New package SNSeg with initial version 1.0.0
Package: SNSeg
Title: Self-Normalization(SN) Based Change-Point Estimation for Time Series
Version: 1.0.0
Description: Implementations self-normalization (SN) based algorithms for change-points estimation in time series data. This comprises nested local-window algorithms for detecting changes in both univariate and multivariate time series developed in Zhao, Jiang and Shao (2022) <doi:10.1111/rssb.12552>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), stats, utils, graphics
LinkingTo: Rcpp
Imports: Rcpp, mvtnorm, truncnorm, evd
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-07-05 15:32:21 UTC; Shubo Sun
Author: Shubo Sun [aut], Zifeng Zhao [aut, cre], Feiyu Jiang [aut], Xiaofeng Shao [aut]
Maintainer: Zifeng Zhao <zzhao2@nd.edu>
Repository: CRAN
Date/Publication: 2023-07-06 13:50:09 UTC

More information about SNSeg at CRAN
Permanent link

Package Rarefy updated to version 1.1.1 with previous version 1.1 dated 2021-03-11

Title: Rarefaction Methods
Description: Includes functions for the calculation of spatially and non-spatially explicit rarefaction curves using different indices of taxonomic, functional and phylogenetic diversity. The user can also rarefy any biodiversity metric as provided by a self-written function (or an already existent one) that gives as output a vector with the values of a certain index of biodiversity calculated per plot (Ricotta, C., Acosta, A., Bacaro, G., Carboni, M., Chiarucci, A., Rocchini, D., Pavoine, S. (2019) <doi:10.1016/j.ecolind.2019.105606>; Bacaro, G., Altobelli, A., Cameletti, M., Ciccarelli, D., Martellos, S., Palmer, M. W., … Chiarucci, A. (2016) <doi:10.1016/j.ecolind.2016.04.026>; Bacaro, G., Rocchini, D., Ghisla, A., Marcantonio, M., Neteler, M., & Chiarucci, A. (2012) <doi:10.1016/j.ecocom.2012.05.007>).
Author: Elisa Thouverai [aut, cre], Sandrine Pavoine [aut], Enrico Tordoni [aut], Duccio Rocchini [aut], Carlo Ricotta [aut], Alessandro Chiarucci [aut], Giovanni Bacaro [aut]
Maintainer: Elisa Thouverai <elisa.th95@gmail.com>

Diff between Rarefy versions 1.1 dated 2021-03-11 and 1.1.1 dated 2023-07-06

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New package PaRe with initial version 0.1.11
Package: PaRe
Title: A Way to Perform Code Review or QA on Other Packages
Version: 0.1.11
Language: en-US
Description: Reviews other packages during code review by looking at their dependencies, code style, code complexity, and how internally defined functions interact with one another.
URL: https://github.com/darwin-eu-dev/PaRe
BugReports: https://github.com/darwin-eu-dev/PaRe/issues
License: Apache License (>= 2)
Encoding: UTF-8
Imports: cli (>= 3.6.0), cyclocomp (>= 1.1.0), desc (>= 1.4.2), DiagrammeR (>= 1.0.9), DiagrammeRsvg (>= 0.1), dplyr (>= 1.1.0), glue (>= 1.6.2), lintr (>= 3.0.2), magrittr (>= 2.0.3), pak (>= 0.2.0), rmarkdown (>= 2.20), rsvg (>= 2.4.0), stringr (>= 1.5.0), igraph (>= 1.3.5), utils, R6 (>= 2.5.1), git2r (>= 0.31.0), checkmate (>= 2.1.0)
Suggests: ggplot2, plotly, ggraph, DT, magick, withr, cowplot, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-07-04 08:30:26 UTC; mvankessel
Author: Maarten van Kessel [aut, cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Repository: CRAN
Date/Publication: 2023-07-06 13:33:03 UTC

More information about PaRe at CRAN
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New package multiFANOVA with initial version 0.1.0
Package: multiFANOVA
Title: Multiple Contrast Tests for Functional Data
Version: 0.1.0
Date: 2023-06-28
Description: The provided package implements multiple contrast tests for functional data (Munko et al., 2023, <arXiv:2306.15259>). These procedures enable us to evaluate the overall hypothesis regarding equality, as well as specific hypotheses defined by contrasts. In particular, we can perform post hoc tests to examine particular comparisons of interest. Different experimental designs are supported, e.g., one-way and multi-way analysis of variance for functional data.
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
Imports: doParallel, MASS, foreach, Matrix, GFDmcv, fda
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-07-04 07:39:34 UTC; ls
Author: Marc Ditzhaus [aut], Merle Munko [aut], Markus Pauly [aut], Lukasz Smaga [aut, cre], Jin-Ting Zhang [aut]
Maintainer: Lukasz Smaga <ls@amu.edu.pl>
Repository: CRAN
Date/Publication: 2023-07-06 13:40:02 UTC

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New package madrat with initial version 3.3.4
Package: madrat
Title: May All Data be Reproducible and Transparent (MADRaT) *
Version: 3.3.4
Date: 2023-06-29
Description: Provides a framework which should improve reproducibility and transparency in data processing. It provides functionality such as automatic meta data creation and management, rudimentary quality management, data caching, work-flow management and data aggregation. * The title is a wish not a promise. By no means we expect this package to deliver everything what is needed to achieve full reproducibility and transparency, but we believe that it supports efforts in this direction.
License: BSD_2_clause + file LICENSE
URL: https://github.com/pik-piam/madrat, https://doi.org/10.5281/zenodo.1115490
BugReports: https://github.com/pik-piam/madrat/issues
Depends: magclass (>= 5.7.0), R (>= 2.10.0)
Imports: callr, digest, igraph (>= 1.0.1), Matrix, methods, pkgload, renv, stringi, tools, utils, withr, yaml
Suggests: covr, ggplot2, knitr, rmarkdown, terra, testthat, tibble
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-07-06 09:17:01 UTC; dietrich
Author: Jan Philipp Dietrich [aut, cre], Lavinia Baumstark [aut], Stephen Wirth [aut], Anastasis Giannousakis [aut], Renato Rodrigues [aut], Benjamin Leon Bodirsky [aut], Ulrich Kreidenweis [aut], David Klein [aut], Pascal Fuehrlich [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>
Repository: CRAN
Date/Publication: 2023-07-06 13:10:02 UTC

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Package gmvjoint updated to version 0.3.0 with previous version 0.2.1 dated 2023-03-24

Title: Joint Models of Survival and Multivariate Longitudinal Data
Description: Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.
Author: James Murray [aut, cre]
Maintainer: James Murray <j.murray7@ncl.ac.uk>

Diff between gmvjoint versions 0.2.1 dated 2023-03-24 and 0.3.0 dated 2023-07-06

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Package gcTensor updated to version 1.0.0 with previous version 0.99.0 dated 2021-09-13

Title: Generalized Coupled Tensor Factorization
Description: Multiple matrices/tensors can be specified and decomposed simultaneously by Probabilistic Latent Tensor Factorisation (PLTF). See the reference section of GitHub README.md <https://github.com/rikenbit/gcTensor>, for details of the method.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between gcTensor versions 0.99.0 dated 2021-09-13 and 1.0.0 dated 2023-07-06

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 gcTensor-1.0.0/gcTensor/tests/testthat/test_InputObjectType.R  |    5 
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 12 files changed, 129 insertions(+), 64 deletions(-)

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New package feltr with initial version 0.0.2
Package: feltr
Title: Access the Felt API
Version: 0.0.2
Description: Upload, download, and edit internet maps with the Felt API (<https://feltmaps.notion.site/Felt-Public-API-reference-c01e0e6b0d954a678c608131b894e8e1>). Allows users to create new maps, edit existing maps, and extract data. Provides tools for working with layers, which represent geographic data, and elements, which are interactive annotations. Spatial data accessed from the API is transformed to work with 'sf'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, curl, fs, geojsonsf, httr2, jsonlite, purrr, rlang, sf, stringr, tibble
URL: http://christophertkenny.com/feltr/
Suggests: httptest2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-07-05 18:23:29 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2023-07-06 14:00:05 UTC

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Package fastDummies updated to version 1.7.3 with previous version 1.7.1 dated 2023-07-05

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] , Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between fastDummies versions 1.7.1 dated 2023-07-05 and 1.7.3 dated 2023-07-06

 DESCRIPTION                          |    6 +++---
 MD5                                  |   10 +++++-----
 NEWS.md                              |    6 +++++-
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 6 files changed, 21 insertions(+), 18 deletions(-)

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Package CEOdata updated to version 1.3.1.1 with previous version 1.3.1 dated 2023-05-17

Title: Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion Polls in Catalonia
Description: Easy and convenient access to the datasets of the "Centre d'Estudis d'Opinio", the Catalan institution for polling and public opinion. The package uses the data stored in the servers of the CEO and returns it in a tidy format.
Author: Xavier Fernandez-i-Marin [aut, cre]
Maintainer: Xavier Fernandez-i-Marin <xavier.fim@gmail.com>

Diff between CEOdata versions 1.3.1 dated 2023-05-17 and 1.3.1.1 dated 2023-07-06

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 6 files changed, 99 insertions(+), 99 deletions(-)

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New package bbmix with initial version 1.0.0
Package: bbmix
Title: Bayesian Model for Genotyping using RNA-Seq
Version: 1.0.0
Description: The method models RNA-seq reads using a mixture of 3 beta-binomial distributions to generate posterior probabilities for genotyping bi-allelic single nucleotide polymorphisms. Elena Vigorito, Anne Barton, Costantino Pitzalis, Myles J. Lewis and Chris Wallace (2023) <doi:10.1093/bioinformatics/btad393> "BBmix: a Bayesian beta-binomial mixture model for accurate genotyping from RNA-sequencing."
License: GPL-2
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), R.utils, data.table, rmutil
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-07-05 18:36:26 UTC; ev250
Author: Elena Vigorito [aut, cre], Chris Wallace [aut]
Maintainer: Elena Vigorito <elena.vigorito@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2023-07-06 14:00:09 UTC

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Package AFFECT updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-04

Title: Accelerated Functional Failure Time Model with Error-Contaminated Survival Times
Description: We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.
Author: Hsiao-Ting Huang <nikkihuang309700034@gmail.com> [cre,aut] Li-Pang Chen <lchen723@nccu.edu.tw> [aut]
Maintainer: Hsiao-Ting Huang <nikkihuang309700034@gmail.com>

Diff between AFFECT versions 0.1.1 dated 2023-06-04 and 0.1.2 dated 2023-07-06

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New package sweep with initial version 0.2.5
Package: sweep
Title: Tidy Tools for Forecasting
Version: 0.2.5
Maintainer: Matt Dancho <mdancho@business-science.io>
Description: Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
URL: https://github.com/business-science/sweep
BugReports: https://github.com/business-science/sweep/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: broom (>= 0.5.6), dplyr (>= 1.0.0), forecast (>= 8.0), lubridate (>= 1.6.0), tibble (>= 1.2), tidyr (>= 1.0.0), timetk (>= 2.1.0), rlang, tidyverse, tidyquant
Suggests: forcats, knitr, rmarkdown, testthat, purrr, readr, stringr, scales, fracdiff
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-07-04 13:01:45 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Repository: CRAN
Date/Publication: 2023-07-06 12:40:02 UTC

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Package shiny updated to version 1.7.4.1 with previous version 1.7.4 dated 2022-12-15

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut] , Barret Schloerke [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], RStudio [cph], jQuery Foundation [cph] [...truncated...]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shiny versions 1.7.4 dated 2022-12-15 and 1.7.4.1 dated 2023-07-06

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New package SpaDES.core with initial version 2.0.2
Package: SpaDES.core
Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
URL: https://spades-core.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.core
Date: 2023-07-05
Version: 2.0.2
Depends: R (>= 4.1), quickPlot (>= 1.0.2), reproducible (>= 2.0.5)
Imports: crayon, data.table (>= 1.11.0), igraph (>= 1.0.1), lobstr, methods, qs (>= 0.21.1), Require (>= 0.3.1), stats, terra, utils, whisker
Suggests: archive, CircStats, codetools, covr, DiagrammeR (>= 0.8.2), dplyr, future, future.callr, ggplot2, ggplotify, httr, knitr, lattice, logging, magrittr, NLMR (>= 1.1.1), pkgload, png, RColorBrewer (>= 1.1-2), raster (>= 2.5-8), rmarkdown, roxygen2, RSQLite, rstudioapi, sp, SpaDES.tools (>= 2.0.0), tcltk, testthat (>= 1.0.2), withr
Additional_repositories: https://predictiveecology.r-universe.dev/
Encoding: UTF-8
Language: en-CA
License: GPL-3
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/PredictiveEcology/SpaDES.core/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2023-07-05 16:10:15 UTC; emcintir
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2023-07-06 12:53:16 UTC

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Package semhelpinghands updated to version 0.1.8 with previous version 0.1.6 dated 2023-01-06

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between semhelpinghands versions 0.1.6 dated 2023-01-06 and 0.1.8 dated 2023-07-06

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Package rmzqc updated to version 0.5.0 with previous version 0.4.2 dated 2023-04-23

Title: Creation, Reading and Validation of 'mzqc' Files
Description: Reads, writes and validates 'mzQC' files. The 'mzQC' format is a standardized file format for the exchange, transmission, and archiving of quality metrics derived from biological mass spectrometry data, as defined by the HUPO-PSI (Human Proteome Organisation - Proteomics Standards Initiative) Quality Control working group. See <https://hupo-psi.github.io/mzQC/> for details.
Author: Chris Bielow [aut, cre] , David Jimenez-Morales [rev, ctb]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

Diff between rmzqc versions 0.4.2 dated 2023-04-23 and 0.5.0 dated 2023-07-06

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Package mwTensor updated to version 1.1.0 with previous version 1.0.1 dated 2023-01-13

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between mwTensor versions 1.0.1 dated 2023-01-13 and 1.1.0 dated 2023-07-06

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Package irtQ updated to version 0.2.0 with previous version 0.1.1 dated 2023-05-08

Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to a mixture of dichotomous and polytomous data, calibrate online item parameters (i.e., pretest and operational items), estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the [...truncated...]
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb], David Magis [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

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Package combiroc updated to version 0.3.4 with previous version 0.2.3 dated 2021-08-17

Title: Selection and Ranking of Omics Biomarkers Combinations Made Easy
Description: Provides functions and a workflow to easily and powerfully calculating specificity, sensitivity and ROC curves of biomarkers combinations. Allows to rank and select multi-markers signatures as well as to find the best performing sub-signatures, now also from single-cell RNA-seq datasets. The method used was first published as a Shiny app and described in Mazzara et al. (2017) <doi:10.1038/srep45477> and further described in Bombaci & Rossi (2019) <doi:10.1007/978-1-4939-9164-8_16>, and widely expanded as a package as presented in the bioRxiv pre print Ferrari et al. <doi:10.1101/2022.01.17.476603>.
Author: Ivan Ferrari [aut] , Riccardo L. Rossi [aut, cre] , Saveria Mazzara [aut] , Mauro Bombaci [ccp, ctb, dtc]
Maintainer: Riccardo L. Rossi <ric.rossi@gmail.com>

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Package spaMM updated to version 4.3.20 with previous version 4.3.0 dated 2023-05-22

Title: Mixed-Effect Models, with or without Spatial Random Effects
Description: Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
Author: Francois Rousset [aut, cre, cph] , Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package quantregGrowth updated to version 1.7-0 with previous version 1.6-2 dated 2023-05-25

Title: Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package mrds updated to version 2.2.9 with previous version 2.2.8 dated 2022-11-16

Title: Mark-Recapture Distance Sampling
Description: Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Author: Jeff Laake <jeff.laake@noaa.gov>, David Borchers <dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David Miller <dave@ninepointeightone.net>, Jon Bishop and Jonah McArthur
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package xml2 updated to version 1.3.5 with previous version 1.3.4 dated 2023-04-27

Title: Parse XML
Description: Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut, cre], Jim Hester [aut], Jeroen Ooms [aut], RStudio [cph, fnd], R Foundation [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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New package secsse with initial version 2.6.0
Package: secsse
Title: Several Examined and Concealed States-Dependent Speciation and Extinction
Version: 2.6.0
Date: 2023-06-27
License: GPL (>= 3) | file LICENSE
Description: Simultaneously infers state-dependent diversification across two or more states of a single or multiple traits while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. (2019) <doi:10.1093/sysbio/syy057>.
Depends: R (>= 4.2.0)
Imports: utils, DDD (>= 5.0), ape, geiger, Rcpp (>= 1.0.10), RcppParallel, ggplot2, tibble, rlang, stringr
Suggests: diversitree, phytools, testthat, testit, knitr, rmarkdown
LinkingTo: Rcpp, RcppParallel, BH (>= 1.81.0-1)
NeedsCompilation: yes
SystemRequirements: C++17
Encoding: UTF-8
LazyData: true
URL: https://github.com/rsetienne/secsse
BugReports: https://github.com/rsetienne/secsse/issues
VignetteBuilder: knitr
Packaged: 2023-07-03 08:30:27 UTC; rampa
Author: Leonel Herrera Alsina [aut] , Paul van Els [aut] , Thijs Janzen [ctb] , Hanno Hildenbrandt [ctb] , Pedro Santos Neves [ctb] , Rampal S. Etienne [cre, aut]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>
Repository: CRAN
Date/Publication: 2023-07-06 08:00:04 UTC

More information about secsse at CRAN
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Package mlr3oml updated to version 0.8.0 with previous version 0.7.2 dated 2023-06-12

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface which also allows uploading to 'OpenML', see the 'OpenML' package.
Author: Michel Lang [aut] , Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3oml versions 0.7.2 dated 2023-06-12 and 0.8.0 dated 2023-07-06

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Package geoknife updated to version 1.6.11 with previous version 1.6.10 dated 2022-12-15

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers (Read et al. (2015) <doi:10.1111/ecog.01880>).
Author: Jordan Read [aut], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut, cre], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package vstdct updated to version 0.2 with previous version 0.1 dated 2023-06-22

Title: Nonparametric Estimation of Toeplitz Covariance Matrices
Description: A nonparametric method to estimate Toeplitz covariance matrices from a sample of n independently and identically distributed p-dimensional vectors with mean zero. The data is preprocessed with the discrete cosine matrix and a variance stabilization transformation to obtain an approximate Gaussian regression setting for the log-spectral density function. Estimates of the spectral density function and the inverse of the covariance matrix are provided as well. Functions for simulating data and a protein data example are included. For details see (Klockmann, Krivobokova; 2023), <arXiv:2303.10018>.
Author: Karolina Klockmann [aut, cre], Tatyana Krivobokova [aut]
Maintainer: Karolina Klockmann <karolina.klockmann@gmx.de>

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New package rim with initial version 0.6.2
Package: rim
Title: Interface to 'Maxima', Enabling Symbolic Computation
Version: 0.6.2
Date: 2023-07-04
Description: An interface to the powerful and fairly complete computer algebra system 'Maxima'. It can be used to start and control 'Maxima' from within R by entering 'Maxima' commands. Results from 'Maxima' can be parsed and evaluated in R. It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 2D and 3D plots can be displayed directly. This package also registers a 'knitr'-engine enabling 'Maxima' code chunks to be written in 'RMarkdown' documents.
URL: https://rcst.github.io/rim/
BugReports: https://github.com/rcst/rim/issues
SystemRequirements: Maxima (https://sourceforge.net/projects/maxima/, tested with versions 5.42.0 - 5.46.0), needs to be on PATH
License: GPL (>= 3)
Imports: methods, Rcpp, R6, knitr, GlobalOptions
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-07-04 18:47:17 UTC; eric
Author: Eric Stemmler [aut, cre], Kseniia Shumelchyk [aut], Hans W. Borchers [aut]
Maintainer: Eric Stemmler <stemmler.eric@gmail.com>
Repository: CRAN
Date/Publication: 2023-07-06 07:30:05 UTC

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Package Rcpp updated to version 1.0.11 with previous version 1.0.10 dated 2023-01-22

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package lpirfs updated to version 0.2.3 with previous version 0.2.2 dated 2022-11-12

Title: Local Projections Impulse Response Functions
Description: Provides functions to estimate and visualize linear as well as nonlinear impulse responses based on local projections by Jordà (2005) <doi:10.1257/0002828053828518>. The methods and the package are explained in detail in Adämmer (2019) <doi:10.32614/RJ-2019-052>.
Author: Philipp Adaemmer [aut, cre] , James P. LeSage [ctb], Mehmet Balcilar [ctb], Jon Danielsson [ctb]
Maintainer: Philipp Adaemmer <philipp.adaemmer@uni-greifswald.de>

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 17 files changed, 1069 insertions(+), 1006 deletions(-)

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New package MetChem with initial version 0.4
Package: MetChem
Version: 0.4
Date: 2023-07-05
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Chemical Structural Similarity Analysis
Description: A new pipeline to explore chemical structural similarity across metabolite. It allows to classify metabolites in structurally-related modules and identify common shared functional groups. KODAMA algorithm is used to highlight structural similarity between metabolites. See Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705>, Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>, and Abdel-Shafy EA, Melak T, MacIntyre DA, Zadra G, Zerbini LF, Piazza S, Cacciatore S. (2023) Bioinformatics Advances <doi:10.1093/bioadv/vbad053>.
Depends: R (>= 3.5.0), stats, KODAMA (>= 2.3), httr, XML, fingerprint, rcdk (>= 3.4.3)
Suggests: knitr, rmarkdown, readxl, impute, pheatmap, RColorBrewer
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2023-07-05 10:05:17 UTC; user
NeedsCompilation: no
Repository: CRAN
Author: Ebtesam Abdel-Shafy [aut], Tadele Melak [aut], David A. MacIntyre [aut], Giorgia Zadra [aut], Luiz F. Zerbini [aut], Silvano Piazza [aut], Stefano Cacciatore [aut, cre]
Date/Publication: 2023-07-06 07:43:05 UTC

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New package cleanTS with initial version 0.1.2
Package: cleanTS
Title: Testbench for Univariate Time Series Cleaning
Version: 0.1.2
Description: A reliable and efficient tool for cleaning univariate time series data. It implements reliable and efficient procedures for automating the process of cleaning univariate time series data. The package provides integration with already developed and deployed tools for missing value imputation and outlier detection. It also provides a way of visualizing large time-series data in different resolutions.
License: GPL (>= 3)
URL: https://github.com/Mayur1009/cleanTS
BugReports: https://github.com/Mayur1009/cleanTS/issues
Imports: data.table, gganimate, ggplot2, ggtext, transformr, glue, imputeTestbench, imputeTS, lubridate, shiny, stringr, tibble
Suggests: rmarkdown, gifski (>= 1.4.3), timetk, spelling
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-07-04 20:10:56 UTC; mayur
Author: Mayur Shende [aut, cre] , Neeraj Bokde [aut] , Andres E. Feijoo-Lorenzo [aut]
Maintainer: Mayur Shende <mayur.k.shende@gmail.com>
Repository: CRAN
Date/Publication: 2023-07-06 07:33:10 UTC

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Package stockfish (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:

2022-03-18 1.0.0
2021-09-27 0.1.3
2021-05-04 0.1.2

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Package hsdar (with last version 1.0.4) was removed from CRAN

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

2022-02-21 1.0.4
2020-08-04 1.0.3
2020-05-22 1.0.2
2020-02-05 1.0.1
2019-05-25 1.0.0
2018-12-06 0.7.2
2018-06-20 0.7.1
2017-12-14 0.7.0
2017-10-22 0.6.0

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