Wed, 21 Sep 2022

Package this.path updated to version 1.0.0 with previous version 0.11.0 dated 2022-09-03

Title: Get Executing Script's Path, from 'RStudio', 'Rgui', 'VSCode', 'Rscript' (Shells Including Windows Command-Line / / Unix Terminal), and 'source'
Description: Determine the full path of the executing script. Works when running a line or selection from a script in 'RStudio', 'Rgui', and 'VSCode', when using 'source', 'sys.source', 'debugSource' in 'RStudio', and 'testthat::source_file', and when running from a shell.
Author: Andrew Simmons
Maintainer: Andrew Simmons <akwsimmo@gmail.com>

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Package survivoR updated to version 2.0 with previous version 1.0.1 dated 2022-05-31

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

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Package shar updated to version 2.0.0 with previous version 1.3.2 dated 2022-03-08

Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the location of the species (as a point pattern) is needed together with environmental conditions (as a categorical raster). To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximillian H.K. Hesselbarth [aut, cre] , Marco Sciaini [aut] , Zeke Marshall [ctb] , Thomas Etherington [ctb]
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

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Package Seurat updated to version 4.2.0 with previous version 4.1.1 dated 2022-05-02

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] , Saket Choudhary [ctb] , Charlotte Darby [ctb] , Jeff Farrell [ctb], Christoph Hafemeister [ctb] , Yuhan Hao [ctb] , Paul Hoffman [aut, cre] , Jaison Jain [ctb] , Efthymia Papalexi [ctb] , Patrick Roelli [ctb], Rahul Satija [ctb] [...truncated...]
Maintainer: Paul Hoffman <seurat@nygenome.org>

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Package sageR updated to version 0.6.0 with previous version 0.3.0 dated 2021-07-20

Title: Applied Statistics for Economics and Management with R
Description: Datasets and functions for the book "Statistiques pour l’économie et la gestion", "Théorie et applications en entreprise", F. Bertrand, Ch. Derquenne, G. Dufrénot, F. Jawadi and M. Maumy, C. Borsenberger editor, (2021, ISBN:9782807319448, De Boeck Supérieur, Louvain-la-Neuve). The first chapter of the book is dedicated to an introduction to statistics and their world. The second chapter deals with univariate exploratory statistics and graphics. The third chapter deals with bivariate and multivariate exploratory statistics and graphics. The fourth chapter is dedicated to data exploration with Principal Component Analysis. The fifth chapter is dedicated to data exploration with Correspondance Analysis. The sixth chapter is dedicated to data exploration with Multiple Correspondance Analysis. The seventh chapter is dedicated to data exploration with automatic clustering. The eighth chapter is dedicated to an introduction to probability theory and classical probability distributions. The ni [...truncated...]
Author: Frederic Bertrand [cre, aut] , Claire Borsenberger [ctb], Christian Derquenne [ctb], Gilles Dufrenot [ctb], Fredj Jawadi [ctb], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

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Package mMARCH.AC updated to version 2.4.0.1 with previous version 2.4.0.0 dated 2022-08-22

Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a care [...truncated...]
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

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New package KSA with initial version 0.1.0
Package: KSA
Title: Retained Component Criterion for Principal Component Analysis
Version: 0.1.0
Date: 2022-09-20
Author: Fayed Alshammri
Maintainer: Dr. Fayed Alshammri <fayed333@hotmail.com>
Description: The Retained Component Criterion for Principal Component Analysis (RCC_PCA) is a tool to determine the optimal number of components to retain in PCA.
License: GPL-2
Depends: stats, graphics
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-21 03:08:12 UTC; User
Repository: CRAN
Date/Publication: 2022-09-21 22:20:06 UTC

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Package geoknife updated to version 1.6.8 with previous version 1.6.7 dated 2022-07-20

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 Correlplot updated to version 1.0.4 with previous version 1.0.3 dated 2022-09-20

Title: A Collection of Functions for Graphing Correlation Matrices
Description: Routines for the graphical representation of correlation matrices by means of correlograms, biplots and MDS maps.
Author: Jan Graffelman
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

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Package bnlearn updated to version 4.8.1 with previous version 4.8 dated 2022-09-19

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre], Tomi Silander [ctb], Robert Ness [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>

Diff between bnlearn versions 4.8 dated 2022-09-19 and 4.8.1 dated 2022-09-21

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Package toolbox updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-23

Title: List, String, and Meta Programming Utility Functions
Description: Includes functions for mapping named lists to function arguments, random strings, pasting and combining rows together across columns, etc.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

Diff between toolbox versions 0.1.0 dated 2022-06-23 and 0.1.1 dated 2022-09-21

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Package Rlabkey updated to version 2.9.0 with previous version 2.8.4 dated 2022-04-01

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 2.8.4 dated 2022-04-01 and 2.9.0 dated 2022-09-21

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Package catmaply updated to version 0.9.2 with previous version 0.9.0 dated 2020-09-07

Title: Heatmap for Categorical Data using 'plotly'
Description: Methods and plotting functions for displaying categorical data on an interactive heatmap using 'plotly'. Provides functionality for strictly categorical heatmaps, heatmaps illustrating categorized continuous data and annotated heatmaps. Also, there are various options to interact with the x-axis to prevent overlapping axis labels, e.g. via simple sliders or range sliders. Besides the viewer pane, resulting plots can be saved as a standalone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app.
Author: Yves Mauron [aut, cre], Trivadis AG [cph]
Maintainer: Yves Mauron <ypmauron@gmail.com>

Diff between catmaply versions 0.9.0 dated 2020-09-07 and 0.9.2 dated 2022-09-21

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Package snahelper updated to version 1.4.1 with previous version 1.4.0 dated 2021-12-17

Title: 'RStudio' Addin for Network Analysis and Visualization
Description: 'RStudio' addin which provides a GUI to visualize and analyse networks. After finishing a session, the code to produce the plot is inserted in the current script. Alternatively, the function SNAhelperGadget() can be used directly from the console. Additional addins include the Netreader() for reading network files, Netbuilder() to create small networks via point and click, and the Componentlayouter() to layout networks with many components manually.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between snahelper versions 1.4.0 dated 2021-12-17 and 1.4.1 dated 2022-09-21

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Package calidad updated to version 0.2.0 with previous version 0.1.0 dated 2022-08-23

Title: Assesses the Quality of Estimates Made by Complex Sample Designs
Description: Assesses the quality of estimates made by complex sample designs, following the methodology developed by the National Institute of Statistics Chile (2020, <https://www.ine.cl/docs/default-source/institucionalidad/buenas-pr%C3%A1cticas/clasificaciones-y-estandares/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-publicaci%C3%B3n-27022020.pdf>) and by Economic Commission for Latin America and Caribbean (2020, <https://repositorio.cepal.org/bitstream/handle/11362/45681/1/S2000293_es.pdf>).
Author: Klaus Lehmann [aut, cre], Ricardo Pizarro [aut], Ignacio Agloni [ctb]
Maintainer: Klaus Lehmann <klehmann@fen.uchile.cl>

Diff between calidad versions 0.1.0 dated 2022-08-23 and 0.2.0 dated 2022-09-21

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Package Signac updated to version 1.8.0 with previous version 1.7.0 dated 2022-06-01

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.
Author: Tim Stuart [aut, cre] , Avi Srivastava [aut] , Paul Hoffman [ctb] , Rahul Satija [ctb]
Maintainer: Tim Stuart <tstuart@nygenome.org>

Diff between Signac versions 1.7.0 dated 2022-06-01 and 1.8.0 dated 2022-09-21

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Package pksensi updated to version 1.2.3 with previous version 1.2.2 dated 2021-07-04

Title: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling
Description: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).
Author: Nan-Hung Hsieh [aut, cre] , Brad Reisfeld [ctb] , Weihsueh A. Chiu [ctb]
Maintainer: Nan-Hung Hsieh <d99622005@ntu.edu.tw>

Diff between pksensi versions 1.2.2 dated 2021-07-04 and 1.2.3 dated 2022-09-21

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Package stdmod updated to version 0.2.0.0 with previous version 0.1.7.4 dated 2022-08-07

Title: Standardized Moderation Effect and Its Confidence Interval
Description: Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
Author: Shu Fai Cheung [aut, cre] , David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between stdmod versions 0.1.7.4 dated 2022-08-07 and 0.2.0.0 dated 2022-09-21

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Package sctransform updated to version 0.3.5 with previous version 0.3.4 dated 2022-08-20

Title: Variance Stabilizing Transformations for Single Cell UMI Data
Description: A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija (2019) <doi:10.1186/s13059-019-1874-1>, and Choudhary and Satija (2022) <doi:10.1186/s13059-021-02584-9> for more details.
Author: Christoph Hafemeister [aut] , Saket Choudhary [aut, cre] , Rahul Satija [ctb]
Maintainer: Saket Choudhary <schoudhary@nygenome.org>

Diff between sctransform versions 0.3.4 dated 2022-08-20 and 0.3.5 dated 2022-09-21

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Package kalmanfilter updated to version 2.0.0 with previous version 1.0.0 dated 2022-09-02

Title: Kalman Filter
Description: 'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

Diff between kalmanfilter versions 1.0.0 dated 2022-09-02 and 2.0.0 dated 2022-09-21

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New package SCORPION with initial version 1.0.0
Package: SCORPION
Title: Single Cell Oriented Reconstruction of PANDA Individual Optimized Networks
Version: 1.0.0
Description: Constructs gene regulatory networks from single-cell gene expression data using the PANDA (Passing Attributes between Networks for Data Assimilation) algorithm.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: cli, methods, irlba, igraph, RANN, Matrix, pbapply, RhpcBLASctl
NeedsCompilation: no
Packaged: 2022-09-20 21:20:16 UTC; danie
Author: Daniel Osorio [aut, cre] , Marieke L. Kuijjer [aut]
Maintainer: Daniel Osorio <daniecos@uio.no>
Repository: CRAN
Date/Publication: 2022-09-21 16:20:11 UTC

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New package oews2021 with initial version 1.0.0
Package: oews2021
Title: May 2021 Occupational Employment and Wage Statistics
Version: 1.0.0
Author: Christopher Mann
Maintainer: Christopher Mann <cmann3@unl.edu>
Description: Contains data from the May 2021 Occupational Employment and Wage Statistics data release from the U.S. Bureau of Labor Statistics. The dataset covers employment and wages across occupations, industries, states, and at the national level. Metropolitan data is not included.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
Packaged: 2022-09-21 14:20:10 UTC; chris
Repository: CRAN
Date/Publication: 2022-09-21 16:20:02 UTC

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New package binaryMM with initial version 0.1.0
Package: binaryMM
Title: Flexible Marginalized Models for Binary Correlated Outcomes
Version: 0.1.0
Description: Estimates marginalized mean and dependence model parameters for correlated binary response data. Dependence model may include transition and/or latent variable terms. Methods are described in: Heagerty (1999) <doi:10.1111/j.0006-341x.1999.00688.x>, Heagerty (2002) <doi:10.1111/j.0006-341x.2002.00342.x>, Schildcrout and Heagerty (2007) <doi:10.1111/j.1541-0420.2006.00680.x>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: fastGHQuad, MASS, Rcpp
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-09-21 13:07:24 UTC; chiaradigravio
Author: Jonathan Schildcrout [aut], Nathaniel Mercaldo [aut], Chiara Di Gravio [cre]
Maintainer: Chiara Di Gravio <chiara.di.gravio@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2022-09-21 16:20:06 UTC

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Package envalysis updated to version 0.5.3 with previous version 0.5.1 dated 2021-03-05

Title: Miscellaneous Functions for Environmental Analyses
Description: Small toolbox for data analyses in environmental chemistry and ecotoxicology. Provides, for example, calibration() to calculate calibration curves and corresponding limits of detection (LODs) and limits of quantification (LOQs) according to German DIN 32645 (2008). texture() makes it easy to estimate soil particle size distributions from hydrometer measurements (ASTM D422-63, 2007).
Author: Zacharias Steinmetz [aut, cre] , Julius Albert [ctb] , Kilian Kenngott [ctb]
Maintainer: Zacharias Steinmetz <steinmetz-z@uni-landau.de>

Diff between envalysis versions 0.5.1 dated 2021-03-05 and 0.5.3 dated 2022-09-21

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New package verbaliseR with initial version 0.1
Package: verbaliseR
Title: Make your Text Mighty Fine
Version: 0.1
Description: Turn R analysis outputs into full sentences, by writing vectors into in-sentence lists, pluralising words conditionally, spelling out numbers if they are at the start of sentences, writing out dates in full following US or UK style, and managing capitalisations in tidy data.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cararthompson/verbaliseR
BugReports: https://github.com/cararthompson/verbaliseR/issues
Maintainer: Cara Thompson <cara.r.thompson@gmail.com>
Imports: stringr
NeedsCompilation: no
Packaged: 2022-09-20 21:38:25 UTC; Cara
Author: Cara Thompson [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-21 08:50:02 UTC

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New package SDPrism2D with initial version 0.1.1
Package: SDPrism2D
Title: Visualizing the Standard Deviation as the Size of a Prism
Version: 0.1.1
Maintainer: Hieu Nguyen <hieunguyen04062003@gmail.com>
Description: We visualize the standard deviation of a data set as the size of a prism whose volume equals the total volume of several prisms made from the Empirical Cumulative Distribution Function.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-20 12:23:28 UTC; PC
Author: Hieu Nguyen [aut, cre], Tom Nguyen [aut], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut]
Repository: CRAN
Date/Publication: 2022-09-21 08:20:02 UTC

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New package RPhosFate with initial version 1.0.2
Package: RPhosFate
Title: Soil and Chemical Substance Emission and Transport Model
Version: 1.0.2
Description: An enhanced version of the semi-empirical, spatially distributed emission and transport model PhosFate implemented in 'R' and 'C++'. It currently supports suspended solids (SS) and particulate phosphorus (PP). A major feature is the allocation of substance loads entering surface waters to their sources of origin, which is a basic requirement for the identification of critical source areas and in consequence a cost-effective implementation of mitigation measures. References: Hepp et al. (2022) <doi:10.1016/j.jenvman.2022.114514>; Hepp and Zessner (2019) <doi:10.3390/w11102161>; Kovacs (2013) <http://hdl.handle.net/20.500.12708/9468>.
License: AGPL (>= 3)
URL: https://gisler.github.io/RPhosFate/
BugReports: https://github.com/gisler/RPhosFate/issues
Language: en-GB
Encoding: UTF-8
ByteCompile: true
Depends: R (>= 3.5.0)
Imports: checkmate, graphics, hydroGOF, methods, raster, Rcpp, spatstat.geom, stats, utils, yaml
Suggests: knitr, rmarkdown, rgdal, tinytest, whitebox (>= 2.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-09-20 21:42:29 UTC; ghepp
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp@iwag.tuwien.ac.at>
Repository: CRAN
Date/Publication: 2022-09-21 08:50:08 UTC

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New package rankICC with initial version 0.1.0
Package: rankICC
Title: Rank Intraclass Correlation for Clustered Data
Version: 0.1.0
Date: 2022-09-19
Description: Estimates the rank intraclass correlation coefficient (ICC) for clustered continuous, ordinal, binary, and count data <https://github.com/shengxintu/rankICC>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-20 16:10:05 UTC; shengxintu
Author: Shengxin Tu [aut, cre], Chun Li [aut], Donglin Zeng [aut], Bryan Shepherd [aut]
Maintainer: Shengxin Tu <shengxin.tu@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2022-09-21 08:30:02 UTC

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Package r2redux updated to version 1.0.11 with previous version 1.0.10 dated 2022-08-08

Title: R2 Statistic
Description: R2 statistic for significance test. Variance and covariance of R2 values used to assess the 95% CI and p-value of the R2 difference.
Author: Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]
Maintainer: Moksedul Momin <cvasu.momin@gmail.com>

Diff between r2redux versions 1.0.10 dated 2022-08-08 and 1.0.11 dated 2022-09-21

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New package mpower with initial version 0.1.0
Package: mpower
Title: Power Analysis via Monte Carlo Simulation for Correlated Data
Version: 0.1.0
Description: A flexible framework for power analysis using Monte Carlo simulation for settings in which considerations of the correlations between predictors are important. Users can set up a data generative model that preserves dependence structures among predictors given existing data (continuous, binary, or ordinal). Users can also generate power curves to assess the trade-offs between sample size, effect size, and power of a design. This package includes several statistical models common in environmental mixtures studies. For more details and tutorials, see Nguyen et al. (2022) <arXiv:2209.08036>.
License: LGPL
Encoding: UTF-8
LazyData: true
Imports: abind, boot, dplyr, doSNOW, foreach, ggplot2, MASS, magrittr, parallel, purrr, snow, sbgcop, rlang, reshape2, tibble, tidyr, tidyselect
Depends: R (>= 3.5.0)
Suggests: BMA, bkmr, bws, infinitefactor, knitr, NHANES, qgcomp, rmarkdown, rstan, testthat, openxlsx
NeedsCompilation: no
Packaged: 2022-09-20 18:32:25 UTC; phuc
Author: Phuc H. Nguyen [aut, cre]
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-21 08:50:05 UTC

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Package deepregression updated to version 0.2 with previous version 0.1 dated 2021-10-04

Title: Fitting Deep Distributional Regression
Description: Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2021) <arXiv:2104.02705>. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
Author: David Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

Diff between deepregression versions 0.1 dated 2021-10-04 and 0.2 dated 2022-09-21

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New package BayesDissolution with initial version 0.1.0
Package: BayesDissolution
Title: Bayesian Models for Dissolution Testing
Version: 0.1.0
Description: Fits Bayesian models to dissolution data sets that can be used for dissolution testing. Currently the package includes the Bayesian models outlined in Pourmohamad et al. (2022) <doi:10.1111/rssc.12535>, but more models may be added over time.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: geoR, MCMCpack, mnormt, pscl
Depends: R (>= 2.10)
Suggests: ggplot2, scales
NeedsCompilation: no
Packaged: 2022-09-20 15:29:30 UTC; pourmoht
Author: Tony Pourmohamad [aut, cre]
Maintainer: Tony Pourmohamad <tpourmohamad@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-21 08:30:08 UTC

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New package REDCapTidieR with initial version 0.1.2
Package: REDCapTidieR
Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Version: 0.1.2
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: checkmate, dplyr, purrr, REDCapR (>= 1.1.0), rlang, stringi, stringr, tibble, tidyr, tidyselect
URL: https://github.com/CHOP-CGTDataOps/REDCapTidieR, https://chop-cgtdataops.github.io/REDCapTidieR/
BugReports: https://github.com/CHOP-CGTDataOps/REDCapTidieR/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-09-20 11:52:53 UTC; hannar1
Author: Richard Hanna [aut, cre], Stephan Kadauke [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-21 08:00:02 UTC

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Package pRecipe updated to version 0.3.0 with previous version 0.2.0 dated 2022-04-22

Title: Precipitation R Recipe
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data across various spatio-temporal scales. Ultimately providing the hydrology science community with the tools for consistent and reproducible analysis regarding precipitation.
Author: Mijael Rodrigo Vargas Godoy [aut, cre], Yannis Markonis [aut, ths]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

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Package circletyper updated to version 1.0.2 with previous version 1.0.1 dated 2021-07-17

Title: Curve Text Elements in 'Shiny' Using 'CircleType.js'
Description: Enables curving text elements in 'Shiny' apps.
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

Diff between circletyper versions 1.0.1 dated 2021-07-17 and 1.0.2 dated 2022-09-21

 DESCRIPTION                          |    6 -
 LICENSE                              |    4 
 MD5                                  |   38 ++++-----
 NAMESPACE                            |    2 
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Package saeMSPE updated to version 1.1 with previous version 1.0 dated 2022-03-29

Title: Compute MSPE Estimates for the Fay Herriot Model and Nested Error Regression Model
Description: We describe a new R package entitled 'saeMSPE' for the well-known Fay Herriot model and nested error regression model in small area estimation. Based on this package, it is possible to easily compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for these two models.
Author: Peiwen Xiao [aut, cre], Xiaohui Liu [aut], Yuzi Liu [aut], Shaochu Liu [aut], Jiming Jiang [ths]
Maintainer: Peiwen Xiao <2569613200@qq.com>

Diff between saeMSPE versions 1.0 dated 2022-03-29 and 1.1 dated 2022-09-21

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More information about saeMSPE at CRAN
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Package ClusterR updated to version 1.2.7 with previous version 1.2.6 dated 2022-01-27

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.2.6 dated 2022-01-27 and 1.2.7 dated 2022-09-21

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More information about ClusterR at CRAN
Permanent link


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