Fri, 22 Mar 2024

Package performance updated to version 0.11.0 with previous version 0.10.9 dated 2024-02-17

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between performance versions 0.10.9 dated 2024-02-17 and 0.11.0 dated 2024-03-22

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Package FMAT updated to version 2024.3 with previous version 2023.8 dated 2023-08-11

Title: The Fill-Mask Association Test
Description: The Fill-Mask Association Test ('FMAT') is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <arXiv:1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

Diff between FMAT versions 2023.8 dated 2023-08-11 and 2024.3 dated 2024-03-22

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Package climatol updated to version 4.1.0 with previous version 4.0.0 dated 2023-04-20

Title: Climate Tools (Series Homogenization and Derived Products)
Description: Functions for the quality control, homogenization and missing data filling of climatological series and to obtain climatological summaries and grids from the results. Also functions to display wind-roses, meteograms, Walter&Lieth diagrams, and more.
Author: Jose A. Guijarro <jaguijarro21@gmail.com>
Maintainer: Jose A. Guijarro <jaguijarro21@gmail.com>

Diff between climatol versions 4.0.0 dated 2023-04-20 and 4.1.0 dated 2024-03-22

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Package spAbundance updated to version 0.1.1 with previous version 0.1.0 dated 2023-10-20

Title: Univariate and Multivariate Spatial Modeling of Species Abundance
Description: Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <arXiv:2001.09111>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.
Author: Jeffrey Doser [aut, cre], Andrew Finley [aut]
Maintainer: Jeffrey Doser <doserjef@msu.edu>

Diff between spAbundance versions 0.1.0 dated 2023-10-20 and 0.1.1 dated 2024-03-22

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New package TreeMineR with initial version 1.0.0
Package: TreeMineR
Title: Tree-Based Scan Statistics
Version: 1.0.0
Description: Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), data.table
Suggests: testthat (>= 3.0.0), tidyr (>= 1.3.0), comorbidity (>= 1.0.7)
Imports: future, future.apply, cli (>= 3.6.1)
URL: https://entjos.github.io/TreeMineR/
NeedsCompilation: no
Packaged: 2024-03-22 10:26:36 UTC; josent
Author: Joshua P. Entrop [aut, cre, cph] , Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>
Repository: CRAN
Date/Publication: 2024-03-22 20:10:06 UTC

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New package mobsim with initial version 0.3.1
Package: mobsim
Title: Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes
Version: 0.3.1
Date: 2024-03-11
Description: Simulation, analysis and sampling of spatial biodiversity data (May, Gerstner, McGlinn, Xiao & Chase 2017) <doi:10.1111/2041-210x.12986>. In the simulation tools user define the numbers of species and individuals, the species abundance distribution and species aggregation. Functions for analysis include species rarefaction and accumulation curves, species-area relationships and the distance decay of similarity.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: Rcpp, vegan, sads (>= 0.4.1), grDevices, utils, graphics, stats, methods
LinkingTo: Rcpp
Suggests: rmarkdown, spatstat.geom, spatstat.random, testthat (>= 3.0.0), mockery, knitr
VignetteBuilder: knitr
Language: en-GB
Encoding: UTF-8
URL: https://github.com/MoBiodiv/mobsim
BugReports: https://github.com/MoBiodiv/mobsim/issues
NeedsCompilation: yes
Packaged: 2024-03-22 07:31:20 UTC; felix
Author: Felix May [aut, cre, cph] , Alban Sagouis [aut]
Maintainer: Felix May <felix.may@fu-berlin.de>
Repository: CRAN
Date/Publication: 2024-03-22 20:10:02 UTC

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Package EBASE updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-08

Title: Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism
Description: Estimate ecosystem metabolism in a Bayesian framework for individual water quality monitoring stations with continuous dissolved oxygen time series. A mass balance equation is used that provides estimates of parameters for gross primary production, respiration, and gas exchange. Methods adapted from Grace et al. (2015) <doi:10.1002/lom3.10011> and Wanninkhof (2014) <doi:10.4319/lom.2014.12.351>.
Author: Marcus Beck [aut, cre] , Maria Herrmann [aut], Jill Arriola [aut] , Raymond Najjar [aut]
Maintainer: Marcus Beck <mbeck@tbep.org>

Diff between EBASE versions 1.0.0 dated 2024-03-08 and 1.0.1 dated 2024-03-22

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Package wildlifeDI updated to version 1.0.0 with previous version 0.5.1 dated 2023-11-13

Title: Calculate Indices of Dynamic Interaction for Wildlife Tracking Data
Description: Dynamic interaction refers to spatial-temporal associations in the movements of two (or more) animals. This package provides tools for calculating a suite of indices used for quantifying dynamic interaction with wildlife telemetry data. For more information on each of the methods employed see the references within. The package (as of version >= 0.3) also has new tools for automating contact analysis in large tracking datasets. The package (as of version 1.0) uses the 'move2' class of objects for working with tracking dataset.
Author: Jed Long [aut, cre]
Maintainer: Jed Long <jed.long@uwo.ca>

Diff between wildlifeDI versions 0.5.1 dated 2023-11-13 and 1.0.0 dated 2024-03-22

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 77 files changed, 2566 insertions(+), 3237 deletions(-)

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New package treasury with initial version 0.1.0
Package: treasury
Title: US Treasury XML Feed Wrapper
Version: 0.1.0
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/treasury/, https://github.com/m-muecke/treasury
BugReports: https://github.com/m-muecke/treasury/issues
Depends: R (>= 4.1.0)
Imports: httr2, rlang, xml2
Suggests: ggplot2, testthat (>= 3.0.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-21 11:04:51 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-22 19:10:02 UTC

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New package SCdeconR with initial version 1.0.0
Package: SCdeconR
Title: Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference
Version: 1.0.0
Description: Streamlined workflow from deconvolution of bulk RNA-seq data to downstream differential expression and gene-set enrichment analysis. Provide various visualization functions.
License: GPL (>= 3)
URL: https://github.com/Liuy12/SCdeconR/, https://liuy12.github.io/SCdeconR/
Encoding: UTF-8
Imports: data.table, gtools, harmony, MASS, Matrix, NMF, reshape2, Biobase, mgcv, grDevices, glmGamPoi
Suggests: FARDEEP, reticulate, plotly, DESeq2, knitr, limma, nnls, preprocessCore, rmarkdown, scater, scran, SingleCellExperiment, doFuture, future, sctransform, Linnorm
Depends: dplyr, edgeR, foreach, ggplot2, R (>= 2.10), Seurat
NeedsCompilation: no
Packaged: 2024-03-21 15:14:09 UTC; m182980
Author: Yuanhang Liu [aut, cre]
Maintainer: Yuanhang Liu <liu.yuanhang@mayo.edu>
Repository: CRAN
Date/Publication: 2024-03-22 19:20:02 UTC

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New package RDHonest with initial version 1.0.0
Package: RDHonest
Title: Honest Inference in Regression Discontinuity Designs
Version: 1.0.0
Description: Honest and nearly-optimal confidence intervals in fuzzy and sharp regression discontinuity designs and for inference at a point based on local linear regression. The implementation is based on Armstrong and Kolesár (2018) <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018) <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.
Depends: R (>= 4.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, Formula, withr
Suggests: spelling, ggplot2, testthat, knitr, rmarkdown, formatR
Language: en-US
URL: https://github.com/kolesarm/RDHonest
BugReports: https://github.com/kolesarm/RDHonest/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-22 00:10:30 UTC; kolesarm
Author: Michal Kolesar [aut, cre, cph] , Tim Armstrong [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>
Repository: CRAN
Date/Publication: 2024-03-22 20:00:02 UTC

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New package nuts with initial version 1.0.0
Package: nuts
Title: Convert European Regional Data
Version: 1.0.0
Description: Motivated by changing administrative boundaries over time, the 'nuts' package can convert European regional data with NUTS codes between versions (2006, 2010, 2013, 2016 and 2021) and levels (NUTS 1, NUTS 2 and NUTS 3). The package uses spatial interpolation as in Lam (1983) <doi:10.1559/152304083783914958> based on granular (100m x 100m) area, population and land use data provided by the European Commission's Joint Research Center.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/nuts/, https://github.com/ropensci/nuts
BugReports: https://github.com/ropensci/nuts
Depends: R (>= 3.5.0)
Imports: cli, dplyr, glue, lifecycle, rlang
Suggests: distill, eurostat, formatR, ggalluvial, ggfittext, ggplot2, ggpubr, ggrepel, gridExtra, kableExtra, knitr, raster, RColorBrewer, readr, rmarkdown, sf, stringr, terra, testthat, tidyr, withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-21 10:16:28 UTC; moritz
Author: Moritz Hennicke [aut, cre, cph] , Werner Krause [aut, cph] , Pueyo-Ros Josep [rev] , Le Meur Nolwenn [rev]
Maintainer: Moritz Hennicke <AAoritz@posteo.de>
Repository: CRAN
Date/Publication: 2024-03-22 19:10:06 UTC

More information about nuts at CRAN
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New package nos with initial version 2.0.0
Package: nos
Title: Compute Node Overlap and Segregation in Ecological Networks
Version: 2.0.0
Description: Calculate NOS (node overlap and segregation) and the associated metrics described in Strona and Veech (2015) <doi:10.1111/2041-210X.12395> and Strona et al. (2018) <doi:10.1111/ecog.03447>. The functions provided in the package enable assessment of structural patterns ranging from complete node segregation to perfect nestedness in a variety of network types. In addition, they provide a measure of network modularity.
License: GPL (>= 3)
URL: https://github.com/txm676/nos
BugReports: https://github.com/txm676/nos/issues
Imports: dplyr, gmp, stats, bipartite
Depends: R(>= 4.1.0)
Encoding: UTF-8
LazyData: true
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-03-21 18:15:58 UTC; Tom
Author: Thomas Matthews [aut, cre] , Giovanni Strona [aut]
Maintainer: Thomas Matthews <txm676@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-22 19:40:02 UTC

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Package IRTest updated to version 2.0.0 with previous version 1.12.0 dated 2023-10-16

Title: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Description: Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Author: Seewoo Li [aut, cre, cph]
Maintainer: Seewoo Li <cu@yonsei.ac.kr>

Diff between IRTest versions 1.12.0 dated 2023-10-16 and 2.0.0 dated 2024-03-22

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New package ANOPA with initial version 0.1.3
Package: ANOPA
Title: Analyses of Proportions using Anscombe Transform
Version: 0.1.3
Date: 2024-03-21
Author: Denis Cousineau [aut, ctb, cre], Louis Laurencelle [aut, ctb]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>
BugReports: https://github.com/dcousin3/ANOPA/issues/
URL: https://dcousin3.github.io/ANOPA/
Description: Analyses of Proportions can be performed on the Anscombe (arcsine-related) transformed data. The 'ANOPA' package can analyze proportions obtained from up to four factors. The factors can be within-subject or between-subject or a mix of within- and between-subject. The main, omnibus analysis can be followed by additive decompositions into interaction effects, main effects, simple effects, contrast effects, etc., mimicking precisely the logic of ANOVA. For that reason, we call this set of tools 'ANOPA' (Analysis of Proportion using Anscombe transform) to highlight its similarities with ANOVA. The 'ANOPA' framework also allows plots of proportions easy to obtain along with confidence intervals. Finally, effect sizes and planning statistical power are easily done under this framework. Only particularity, the 'ANOPA' computes F statistics which have an infinite degree of freedom on the denominator. See Laurencelle and Cousineau (2023) <doi:10.3389/fpsyg.2022.1045436>.
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 3.5.0)
Imports: superb (>= 0.95.0), Rdpack (>= 0.7), ggplot2 (>= 3.1.0), scales (>= 1.2.1), stats, rrapply, utils, plyr (>= 1.8.4)
Suggests: rmarkdown, testthat, knitr
NeedsCompilation: no
Packaged: 2024-03-21 17:29:39 UTC; Utlisateur
Repository: CRAN
Date/Publication: 2024-03-22 19:40:05 UTC

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New package abn with initial version 3.0.6
Package: abn
Title: Modelling Multivariate Data with Additive Bayesian Networks
Version: 3.0.6
Date: 2024-03-21
Author: Matteo Delucchi [aut, cre] , Reinhard Furrer [aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Marta Pittavino [ctb] , Kalina Cherneva [ctb]
Maintainer: Matteo Delucchi <matteo.delucchi@math.uzh.ch>
Description: The 'abn' R package facilitates Bayesian network analysis, a probabilistic graphical model that derives from empirical data a directed acyclic graph (DAG). This DAG describes the dependency structure between random variables. The R package 'abn' provides routines to help determine optimal Bayesian network models for a given data set. These models are used to identify statistical dependencies in messy, complex data. Their additive formulation is equivalent to multivariate generalised linear modelling, including mixed models with independent and identically distributed (iid) random effects. The core functionality of the 'abn' package revolves around model selection, also known as structure discovery. It supports both exact and heuristic structure learning algorithms and does not restrict the data distribution of parent-child combinations, providing flexibility in model creation and analysis. The 'abn' package uses Laplace approximations for metric estimation and includes wrappers to the [...truncated...]
License: GPL (>= 3)
URL: https://r-bayesian-networks.org/, https://github.com/furrer-lab/abn
BugReports: https://github.com/furrer-lab/abn/issues
Depends: R (>= 4.0.0)
Imports: doParallel, foreach, graph, lme4, mclogit, methods, nnet, Rcpp, Rgraphviz, rjags, stringi
Suggests: bookdown, boot, brglm, devtools (>= 2.4.5), entropy, ggplot2, gridExtra, INLA, knitr, Matrix (>= 1.6.3), MatrixModels (>= 0.5.3), microbenchmark, moments, R.rsp, RhpcBLASctl, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Encoding: UTF-8
LazyData: true
SystemRequirements: Gnu Scientific Library version >= 1.12
NeedsCompilation: yes
Packaged: 2024-03-21 17:22:41 UTC; matteo
Repository: CRAN
Date/Publication: 2024-03-22 19:30:06 UTC

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Package GofCens updated to version 0.98 with previous version 0.97 dated 2024-03-13

Title: Goodness-of-Fit Methods for Complete and Right-Censored Data
Description: Graphical tools and goodness-of-fit tests for complete and right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences 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 most suitable parametric model for the data.
Author: Klaus Langohr [aut, cre], Mireia Besalu [aut], Matilde Francisco [aut], Guadalupe Gomez [aut]
Maintainer: Klaus Langohr <klaus.langohr@upc.edu>

Diff between GofCens versions 0.97 dated 2024-03-13 and 0.98 dated 2024-03-22

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Package spant updated to version 2.19.0 with previous version 2.18.0 dated 2024-02-23

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

Diff between spant versions 2.18.0 dated 2024-02-23 and 2.19.0 dated 2024-03-22

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Package parsnip updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-16

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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New package OncoSubtype with initial version 1.0.0
Package: OncoSubtype
Title: Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method
Version: 1.0.0
Author: Dadong Zhang <dadong.zhang.shared@gmail.com>
Maintainer: Dadong Zhang <dadong.zhang.shared@gmail.com>
Description: Provide functionality for cancer subtyping using nearest centroids or machine learning methods based on TCGA data.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/DadongZ/OncoSubtype
BugReports: https://github.com/DadongZ/OncoSubtype/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyDataCompression: xz
Imports: caret, randomForest, methods, e1071, pheatmap, tibble, dplyr, limma, rlang, Rdpack
Depends: SummarizedExperiment, R (>= 3.63),
NeedsCompilation: no
Packaged: 2024-03-22 16:31:11 UTC; dzhang4
Repository: CRAN
Date/Publication: 2024-03-22 17:30:10 UTC

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Package Coxmos updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-12

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

Diff between Coxmos versions 1.0.0 dated 2024-03-12 and 1.0.1 dated 2024-03-22

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Package spatstat.model updated to version 3.2-11 with previous version 3.2-10 dated 2024-02-02

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.model versions 3.2-10 dated 2024-02-02 and 3.2-11 dated 2024-03-22

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Package countrycode updated to version 1.6.0 with previous version 1.5.0 dated 2023-05-30

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock [aut, cre] , CJ Yetman [ctb] , Nils Enevoldsen [ctb] , Etienne Bacher [ctb] , Samuel Meichtry [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between countrycode versions 1.5.0 dated 2023-05-30 and 1.6.0 dated 2024-03-22

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Package RNAmf updated to version 0.1.2 with previous version 0.1.1 dated 2024-03-16

Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2023+) <arXiv:2309.11772> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

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New package RISCA with initial version 1.0.5
Package: RISCA
Title: Causal Inference and Prediction in Cohort-Based Analyses
Version: 1.0.5
Depends: R (>= 4.0.0), splines, survival, relsurv, reticulate, tune
Imports: date, graphics, nlme, MASS, mvtnorm, statmod, parallel, doParallel, foreach, nnet, kernlab, glmnet, caret, SuperLearner, rpart, mosaic, cubature
Description: Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Maintainer: Yohann Foucher <Yohann.Foucher@univ-poitiers.fr>
Packaged: 2024-03-21 22:21:25 UTC; foucher-y
Author: Yohann Foucher [aut, cre] , Florent Le Borgne [aut], Arthur Chatton [aut]
Repository: CRAN
Date/Publication: 2024-03-22 15:30:06 UTC

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Package miscFuncs updated to version 1.5-8 with previous version 1.5-7 dated 2023-10-29

Title: Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-Based Confidence Intervals and Development Tools
Description: Implementing various things including functions for LaTeX tables, the Kalman filter, QQ-plots with simulation-based confidence intervals, web scraping, development tools, relative risk and odds rati, GARCH(1,1) Forecasting.
Author: Benjamin M. Taylor
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

Diff between miscFuncs versions 1.5-7 dated 2023-10-29 and 1.5-8 dated 2024-03-22

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Package bslib updated to version 0.6.2 with previous version 0.6.1 dated 2023-11-28

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] , Joe Cheng [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd], Bootstrap contributors [ctb] , Twitter, Inc [cph] , Javi Aguilar [ctb, cph] , Thomas Park [ctb, cph] , PayPal [ctb, cph]
Maintainer: Carson Sievert <carson@posit.co>

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Package moodlequizR updated to version 2.1.0 with previous version 2.0.2 dated 2024-03-15

Title: Easily Create Fully Randomized 'Moodle' Test Questions
Description: Routines to generate fully randomized 'moodle' quizzes. It also contains 15 examples and a 'shiny' app.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package GaussSuppression updated to version 0.8.3 with previous version 0.8.0 dated 2024-02-02

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre], Daniel Lupp [aut], Hege Boevelstad [ctb], Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package MCARtest updated to version 1.2.1 with previous version 1.2 dated 2024-01-19

Title: Optimal Nonparametric Testing of Missing Completely at Random
Description: Provides functions for carrying out nonparametric hypothesis tests of the MCAR hypothesis based on the theory of Frechet classes and compatibility. Also gives functions for computing halfspace representations of the marginal polytope and related geometric objects.
Author: Thomas B. Berrett <tom.berrett@warwick.ac.uk> [aut,cre] , Alberto Bordino <alberto.bordino@warwick.ac.uk> [aut], Danat Duisenbekov <dd583@cam.ac.uk> [aut], Sean Jaffe <scj47@cam.ac.uk> [aut], Richard J. Samworth <r.samworth@statslab.cam.ac.uk> [aut]
Maintainer: Thomas B. Berrett <tom.berrett@warwick.ac.uk>

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Package emulator updated to version 1.2-24 with previous version 1.2-21 dated 2021-04-25

Title: Bayesian Emulation of Computer Programs
Description: Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. The package includes functionality to evaluate quadratic forms efficiently.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package DynForest updated to version 1.1.3 with previous version 1.1.2 dated 2023-12-11

Title: Random Forest with Multivariate Longitudinal Predictors
Description: Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) <doi: 10.1177/09622802231206477>.
Author: Anthony Devaux [aut, cre] , Robin Genuer [aut] , Cecile Proust-Lima [aut] , Louis Capitaine [aut]
Maintainer: Anthony Devaux <anthony.devauxbarault@gmail.com>

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Package Matrix updated to version 1.7-0 with previous version 1.6-5 dated 2024-01-11

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] )), Jens Oehlschlaegel [ctb] ), Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of California), R Core Team [ctb]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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 Matrix-1.7-0/Matrix/po/R-fr.po                                  |  188 
 Matrix-1.7-0/Matrix/po/R-it.po                                  |  184 
 Matrix-1.7-0/Matrix/po/R-ko.po                                  |  180 
 Matrix-1.7-0/Matrix/po/R-lt.po                                  |  180 
 Matrix-1.7-0/Matrix/po/R-pl.po                                  |  258 
 Matrix-1.7-0/Matrix/po/de.po                                    |  513 -
 Matrix-1.7-0/Matrix/po/fr.po                                    |  513 -
 Matrix-1.7-0/Matrix/po/it.po                                    |  513 -
 Matrix-1.7-0/Matrix/po/ko.po                                    |  509 -
 Matrix-1.7-0/Matrix/po/lt.po                                    |  513 -
 Matrix-1.7-0/Matrix/po/pl.po                                    |  581 -
 Matrix-1.7-0/Matrix/src/Csparse.c                               |  153 
 Matrix-1.7-0/Matrix/src/Csparse.h                               |   13 
 Matrix-1.7-0/Matrix/src/Makevars                                |   77 
 Matrix-1.7-0/Matrix/src/Mdefines.h                              |    6 
 Matrix-1.7-0/Matrix/src/Msymbols.h                              |only
 Matrix-1.7-0/Matrix/src/SuiteSparse                             |only
 Matrix-1.7-0/Matrix/src/cholmod-common.c                        |only
 Matrix-1.7-0/Matrix/src/cholmod-common.h                        |only
 Matrix-1.7-0/Matrix/src/cholmod-etc.c                           |    7 
 Matrix-1.7-0/Matrix/src/cholmod-etc.h                           |    4 
 Matrix-1.7-0/Matrix/src/coerce.c                                |   54 
 Matrix-1.7-0/Matrix/src/cs-etc.h                                |    2 
 Matrix-1.7-0/Matrix/src/dense.c                                 |   13 
 Matrix-1.7-0/Matrix/src/expm.c                                  |only
 Matrix-1.7-0/Matrix/src/expm.h                                  |only
 Matrix-1.7-0/Matrix/src/factor.c                                |only
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 Matrix-1.7-0/Matrix/src/init.c                                  |   54 
 Matrix-1.7-0/Matrix/src/matmult.c                               |only
 Matrix-1.7-0/Matrix/src/matmult.h                               |only
 Matrix-1.7-0/Matrix/src/objects.c                               |   10 
 Matrix-1.7-0/Matrix/src/solve.c                                 |    8 
 Matrix-1.7-0/Matrix/src/subassign.c                             |only
 Matrix-1.7-0/Matrix/src/subassign.h                             |only
 Matrix-1.7-0/Matrix/src/t_rle.c                                 |only
 Matrix-1.7-0/Matrix/src/t_subassign.c                           |only
 Matrix-1.7-0/Matrix/src/utils-R.c                               |    8 
 Matrix-1.7-0/Matrix/src/utils-R.h                               |    5 
 Matrix-1.7-0/Matrix/src/validity.c                              |  281 
 Matrix-1.7-0/Matrix/src/validity.h                              |    5 
 Matrix-1.7-0/Matrix/src/vector.c                                |only
 Matrix-1.7-0/Matrix/src/vector.h                                |only
 Matrix-1.7-0/Matrix/src/version.h                               |   16 
 Matrix-1.7-0/Matrix/tests/Class+Meth.R                          |   12 
 Matrix-1.7-0/Matrix/tests/indexing.R                            |    8 
 Matrix-1.7-0/Matrix/tests/indexing.Rout.save                    |   44 
 Matrix-1.7-0/Matrix/tests/packed-unpacked.R                     |   10 
 Matrix-1.7-0/Matrix/tests/validObj.R                            |    2 
 266 files changed, 8993 insertions(+), 4873 deletions(-)

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Package repr updated to version 1.1.7 with previous version 1.1.6 dated 2023-01-26

Title: Serializable Representations
Description: String and binary representations of objects for several formats / mime types.
Author: Philipp Angerer [aut, cre] , Thomas Kluyver [aut], Jan Schulz [aut], abielr [ctb], Denilson Figueiredo de Sa [ctb], Jim Hester [ctb], karldw [ctb], Dave Foster [ctb], Carson Sievert [ctb]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

Diff between repr versions 1.1.6 dated 2023-01-26 and 1.1.7 dated 2024-03-22

 DESCRIPTION                              |    8 +--
 MD5                                      |   16 +++----
 R/package.r                              |    3 -
 R/repr_htmlwidget.r                      |   63 ++++++++++++++++++-------------
 R/repr_matrix_df.r                       |   25 +++++++++++-
 man/repr-package.Rd                      |   20 +++++++++
 tests/testthat/test_array_manipulation.r |    4 -
 tests/testthat/test_escaping.r           |    2 
 tests/testthat/test_repr_htmlwidget.r    |    8 +--
 9 files changed, 100 insertions(+), 49 deletions(-)

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New package mstudentd with initial version 1.0.0
Package: mstudentd
Title: Multivariate t Distribution
Version: 1.0.0
Maintainer: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>
Description: Distance between multivariate t distributions, as presented by N. Bouhlel and D. Rousseau (2023) <doi:10.1109/LSP.2023.3324594>.
Depends: R (>= 3.3.0)
Imports: rgl, MASS
License: GPL (>= 3)
URL: https://forgemia.inra.fr/imhorphen/mstudentd
BugReports: https://forgemia.inra.fr/imhorphen/mstudentd/-/issues
Encoding: UTF-8
Suggests: testthat (>= 3.2.1)
NeedsCompilation: no
Packaged: 2024-03-20 17:07:37 UTC; santagostini
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Repository: CRAN
Date/Publication: 2024-03-22 08:50:02 UTC

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Package insight updated to version 0.19.10 with previous version 0.19.9 dated 2024-03-15

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.19.9 dated 2024-03-15 and 0.19.10 dated 2024-03-22

 DESCRIPTION                             |    6 
 MD5                                     |   56 ++++----
 NEWS.md                                 |   11 +
 R/clean_names.R                         |   58 +++++---
 R/helper_functions.R                    |    6 
 R/standardize_names.R                   |   45 +++---
 R/utils_get_data.R                      |   24 +--
 inst/doc/display.html                   |  214 ++++++++++++++++----------------
 inst/doc/export.html                    |    2 
 inst/doc/insight.html                   |    2 
 man/standardize_column_order.Rd         |   11 -
 man/standardize_names.Rd                |   29 +---
 tests/testthat/test-GLMMadaptive.R      |   25 +--
 tests/testthat/test-brms.R              |    1 
 tests/testthat/test-brms_aterms.R       |    1 
 tests/testthat/test-clean_names.R       |   32 ++++
 tests/testthat/test-cpglmm.R            |    3 
 tests/testthat/test-format_table.R      |    1 
 tests/testthat/test-get_data.R          |   17 ++
 tests/testthat/test-get_datagrid.R      |   77 +++++------
 tests/testthat/test-get_loglikelihood.R |    2 
 tests/testthat/test-get_predicted.R     |    4 
 tests/testthat/test-get_variance.R      |   69 +++++-----
 tests/testthat/test-glmmTMB.R           |   11 +
 tests/testthat/test-is_converged.R      |    1 
 tests/testthat/test-model_data.R        |    1 
 tests/testthat/test-model_info.R        |    1 
 tests/testthat/test-null_model.R        |    1 
 tests/testthat/test-spatial.R           |    1 
 29 files changed, 404 insertions(+), 308 deletions(-)

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