Thu, 12 Jan 2023

Package RcppGSL updated to version 0.3.13 with previous version 0.3.12 dated 2022-10-30

Title: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Description: 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package graticule updated to version 0.2.0 with previous version 0.1.6 dated 2021-05-04

Title: Meridional and Parallel Lines for Maps
Description: Create graticule lines and labels for maps. Control the creation of lines or tiles by setting their placement (at particular meridians and parallels) and extent (along parallels and meridians). Labels are created independently of lines.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between graticule versions 0.1.6 dated 2021-05-04 and 0.2.0 dated 2023-01-12

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Package RDieHarder updated to version 0.2.5 with previous version 0.2.4 dated 2022-10-23

Title: R Interface to the 'DieHarder' RNG Test Suite
Description: The 'RDieHarder' package provides an R interface to the 'DieHarder' suite of random number generators and tests that was developed by Robert G. Brown and David Bauer, extending earlier work by George Marsaglia and others. The 'DieHarder' library code is included.
Author: Dirk Eddelbuettel, Robert G Brown, David Bauer plus contributors to DieHarder
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RDieHarder versions 0.2.4 dated 2022-10-23 and 0.2.5 dated 2023-01-12

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Package WordR updated to version 0.3.6 with previous version 0.3.5 dated 2022-07-10

Title: Rendering Word Documents with R Inline Code
Description: Serves for rendering MS Word documents with R inline code and inserting tables and plots.
Author: Tomas Hovorka
Maintainer: Tomas Hovorka <tomashovorka@seznam.cz>

Diff between WordR versions 0.3.5 dated 2022-07-10 and 0.3.6 dated 2023-01-12

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Package palettes updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-19

Title: Methods for Colour Vectors and Colour Palettes
Description: Provides a comprehensive library for colour vectors and colour palettes using a new family of colour classes (palettes_colour and palettes_palette) that always print as hex codes with colour previews. Capabilities include: formatting, casting and coercion, extraction and updating of components, plotting, colour mixing arithmetic, and colour interpolation.
Author: Michael McCarthy [aut, cre, cph]
Maintainer: Michael McCarthy <m.mccarthy1624@gmail.com>

Diff between palettes versions 0.1.0 dated 2022-12-19 and 0.1.1 dated 2023-01-12

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Package MetaLandSim updated to version 2.0.0 with previous version 1.0.10 dated 2022-06-30

Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species occurrence in dynamic landscapes, simulate future landscape occupation and evaluate range expansion when new empty patches are available (e.g. as a result of climate change). References: Mestre, F., Canovas, F., Pita, R., Mira, A., Beja, P. (2016) <doi:10.1016/j.envsoft.2016.03.007>; Mestre, F., Risk, B., Mira, A., Beja, P., Pita, R. (2017) <doi:10.1016/j.ecolmodel.2017.06.013>; Mestre, F., Pita, R., Mira, A., Beja, P. (2020) <doi:10.1186/s12898-019-0273-5>.
Author: Frederico Mestre, Fernando Canovas, Benjamin Risk, Ricardo Pita, Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>

Diff between MetaLandSim versions 1.0.10 dated 2022-06-30 and 2.0.0 dated 2023-01-12

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Package TDApplied updated to version 2.0.2 with previous version 2.0.1 dated 2022-12-23

Title: Machine Learning and Inference for Topological Data Analysis
Description: Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. 'TDApplied' aims to bridge topological data analysis with data, statistical and machine learning practitioners so that more analyses may benefit from the power of topological data analysis. The main tool of topological data analysis is persistent homology, which computes a shape descriptor of a dataset, called a persistence diagram. There are five goals of this package: (1) deliver a fast implementation of persistent homology via a python interface, (2) convert persistence diagrams computed using the two main R packages for topological data analysis into a data frame, (3) implement fast versions of both distance and kernel calculations for pairs of persistence diagrams, (4) contribute tools for the interpretation of persistence diagrams, and (5) provide parallelized methods for machine learning and inference for persistence diagrams.
Author: Shael Brown [aut, cre], Dr. Reza Farivar [aut, fnd]
Maintainer: Shael Brown <shaelebrown@gmail.com>

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Package crossmap updated to version 0.4.0 with previous version 0.3.3 dated 2022-08-12

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package mapproj updated to version 1.2.11 with previous version 1.2.9 dated 2022-10-30

Title: Map Projections
Description: Converts latitude/longitude into projected coordinates.
Author: Doug McIlroy. Packaged for R by Ray Brownrigg and Thomas P Minka, transition to Plan 9 codebase by Roger Bivand.
Maintainer: Alex Deckmyn <alex.deckmyn@meteo.be>

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Package OmicNavigator updated to version 1.13.6 with previous version 1.11.5 dated 2022-05-26

Title: Open-Source Software for 'Omic' Data Analysis and Visualization
Description: A tool for interactive exploration of the results from 'omics' experiments to facilitate novel discoveries from high-throughput biology. The software includes R functions for the 'bioinformatician' to deposit study metadata and the outputs from statistical analyses (e.g. differential expression, enrichment). These results are then exported to an interactive JavaScript dashboard that can be interrogated on the user's local machine or deployed online to be explored by collaborators. The dashboard includes 'sortable' tables, interactive plots including network visualization, and fine-grained filtering based on statistical significance.
Author: Terrence Ernst [aut] , John Blischak [aut, cre] , Paul Nordlund [aut] , Justin Moore [aut] , Joe Dalen [aut] , Akshay Bhamidipati [aut] , Brett Engelmann [aut], Marco Curado [aut] , Joe LoGrasso [aut] , AbbVie Inc. [cph, fnd]
Maintainer: John Blischak <jdblischak@gmail.com>

Diff between OmicNavigator versions 1.11.5 dated 2022-05-26 and 1.13.6 dated 2023-01-12

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Package GPBayes updated to version 0.1.0-5 with previous version 0.1.0-4 dated 2022-08-06

Title: Tools for Gaussian Process Modeling in Uncertainty Quantification
Description: Gaussian processes (GPs) have been widely used to model spatial data, spatio-temporal data, and computer experiments in diverse areas of statistics including spatial statistics, spatio-temporal statistics, uncertainty quantification, and machine learning. This package creates basic tools for fitting and prediction based on GPs with spatial data, spatio-temporal data, and computer experiments. Key characteristics for this GP tool include: (1) the comprehensive implementation of various covariance functions including the Matérn family and the Confluent Hypergeometric family with isotropic form, tensor form, and automatic relevance determination form, where the isotropic form is widely used in spatial statistics, the tensor form is widely used in design and analysis of computer experiments and uncertainty quantification, and the automatic relevance determination form is widely used in machine learning; (2) implementations via Markov chain Monte Carlo (MCMC) algorithms and optimization alg [...truncated...]
Author: Pulong Ma [aut, cre]
Maintainer: Pulong Ma <mpulong@gmail.com>

Diff between GPBayes versions 0.1.0-4 dated 2022-08-06 and 0.1.0-5 dated 2023-01-12

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New package pdt with initial version 0.0.2
Package: pdt
Title: Permutation Distancing Test
Version: 0.0.2
Author: Jan Houtveen [aut, cre], Anouk Vroegindeweij [ctb]
Maintainer: Jan Houtveen <janhoutveen@gmail.com>
Depends: R (>= 4.1.0)
Description: Permutation (randomisation) test for single-case phase design data with two phases (e.g., pre- and post-treatment). Correction for dependency of observations is done through stepwise resampling the time series while varying the distance between observations. The required distance 0,1,2,3.. is determined based on repeated dependency testing while stepwise increasing the distance. In preparation: Vroegindeweij et al. "A Permutation distancing test for single-case observational AB phase design data: A Monte Carlo simulation study".
License: GPL-3
Repository: CRAN
NeedsCompilation: no
Imports: stats, graphics
Encoding: UTF-8
Language: en-US
Packaged: 2023-01-11 12:05:18 UTC; JanHoutveen
Date/Publication: 2023-01-12 18:20:02 UTC

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New package loadeR with initial version 1.1.1
Package: loadeR
Title: Load Data for Analysis System
Version: 1.1.1
Description: Provides a framework to load text and excel files through a 'shiny' graphical interface. It allows renaming, transforming, ordering and removing variables. It includes basic exploratory methods such as the mean, median, mode, normality test, histogram and correlation.
License: GPL (>= 2)
Imports: DT, caret, config, XLConnect, echarts4r, shinyAce, shinyjs, golem, rlang, htmltools, data.table, htmlwidgets, colourpicker, shinydashboard, shiny (>= 1.7.1), shinycustomloader, shinydashboardPlus (>= 2.0.0)
Depends: R (>= 4.0)
Encoding: UTF-8
URL: https://www.promidat.com
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-11 16:05:43 UTC; promidat05
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [aut], Joseline Quiros [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2023-01-12 18:40:02 UTC

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New package labNorm with initial version 1.0.0
Package: labNorm
Title: Normalize Laboratory Measurements by Age and Sex
Version: 1.0.0
Description: Provides functions for normalizing standard laboratory measurements (e.g. hemoglobin, cholesterol levels) according to age and sex, based on the algorithms described in "Personalized lab test models to quantify disease potentials in healthy individuals" (Netta Mendelson Cohen, Omer Schwartzman, Ram Jaschek, Aviezer Lifshitz, Michael Hoichman, Ran Balicer, Liran I. Shlush, Gabi Barbash & Amos Tanay, <doi:10.1038/s41591-021-01468-6>). Allows users to easily obtain normalized values for standard lab results, and to visualize their distributions. See more at <https://tanaylab.weizmann.ac.il/labs/>.
License: MIT + file LICENSE
BugReports: https://github.com/tanaylab/labNorm/issues
Suggests: spelling, testthat (>= 3.0.0)
Config/testthat/start-first: download
Encoding: UTF-8
Language: en-US
Imports: cli, dplyr, forcats, ggplot2, glue, purrr, rappdirs, scales, stats, tibble, utils, withr, yesno
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-11 19:38:08 UTC; aviezerl
Author: Aviezer Lifshitz [aut, cre], Netta Mendelson-Cohen [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2023-01-12 18:40:05 UTC

More information about labNorm at CRAN
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Package httpuv updated to version 1.6.8 with previous version 1.6.7 dated 2022-12-14

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between httpuv versions 1.6.7 dated 2022-12-14 and 1.6.8 dated 2023-01-12

 DESCRIPTION    |    8 ++++----
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New package healthcare.antitrust with initial version 0.1.3
Package: healthcare.antitrust
Title: Healthcare Antitrust Analysis
Version: 0.1.3
Description: Antitrust analysis of healthcare markets. Contains functions to implement the semiparametric estimation technique described in Raval, Rosenbaum, and Tenn (2017) "A Semiparametric Discrete Choice Model: An Application to Hospital Mergers" <doi:10.1111/ecin.12454>.
License: CC0
Copyright: As a work of the United States government, this project is in the public domain within the United States. Additionally, we waive copyright and related rights in the work worldwide through the CC0 1.0 Universal public domain dedication.
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: methods, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mpanhans/healthcare.antitrust
NeedsCompilation: no
Packaged: 2023-01-11 14:17:57 UTC; mattpanhans
Author: Matthew T Panhans [aut, cre]
Maintainer: Matthew T Panhans <mpanhans@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-12 18:30:02 UTC

More information about healthcare.antitrust at CRAN
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New package graphclust with initial version 1.0.1
Package: graphclust
Title: Hierarchical Graph Clustering for a Collection of Networks
Version: 1.0.1
Author: Tabea Rebafka [aut, cre]
Maintainer: Tabea Rebafka <tabea.rebafka@sorbonne-universite.fr>
Description: Graph clustering using an agglomerative algorithm to maximize the integrated classification likelihood criterion and a mixture of stochastic block models. The method is described in the article "Model-based graph clustering of a collection of networks using an agglomerative algorithm" by T. Rebafka (2022) <arXiv:2211.02314>.
License: GPL-2
Encoding: UTF-8
Imports: blockmodels, igraph, parallel, sClust
NeedsCompilation: no
Packaged: 2023-01-11 10:06:25 UTC; tabea
Repository: CRAN
Date/Publication: 2023-01-12 18:30:05 UTC

More information about graphclust at CRAN
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New package gp with initial version 1.0
Package: gp
Title: Maximum Likelihood Estimation of the Generalized Poisson Distribution
Version: 1.0
Date: 2023-01-11
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, RNGforGPD, stats
Description: Functions to estimate the parameters of the generalized Poisson distribution with or without covariates using maximum likelihood. The references include Nikoloulopoulos A.K. & Karlis D. (2008). "On modeling count data: a comparison of some well-known discrete distributions". Journal of Statistical Computation and Simulation, 78(3): 437--457, <doi:10.1080/10629360601010760> and Consul P.C. & Famoye F. (1992). "Generalized Poisson regression model". Communications in Statistics - Theory and Methods, 21(1): 89--109, <doi:10.1080/03610929208830766>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-01-11 12:02:43 UTC; Michail
Repository: CRAN
Date/Publication: 2023-01-12 18:20:05 UTC

More information about gp at CRAN
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Package curl updated to version 5.0.0 with previous version 4.3.3 dated 2022-10-06

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between curl versions 4.3.3 dated 2022-10-06 and 5.0.0 dated 2023-01-12

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New package alphaN with initial version 0.1.0
Package: alphaN
Title: Set Alpha Based on Sample Size Using Bayes Factors
Version: 0.1.0
Description: Sets the alpha level for coefficients in a regression model as a decreasing function of the sample size through the use of Jeffreys' Approximate Bayes factor. You tell alphaN() your sample size, and it tells you to which value you must lower alpha to avoid Lindley's Paradox. For details, see Wulff and Taylor (2023) <doi:10.31234/osf.io/3cbh7>.
License: MIT + file LICENSE
URL: https://github.com/jespernwulff/alphaN
BugReports: https://github.com/jespernwulff/alphaN/issues
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-11 13:49:46 UTC; au205643
Author: Jesper Wulff [aut, cre] , Luke Taylor [aut]
Maintainer: Jesper Wulff <jwulff@econ.au.dk>
Repository: CRAN
Date/Publication: 2023-01-12 18:30:07 UTC

More information about alphaN at CRAN
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New package ABSurvTDC with initial version 0.1.0
Package: ABSurvTDC
Title: Survival Analysis using Time Dependent Covariate for Animal Breeding
Version: 0.1.0
Author: Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Md Yeasin [aut], Dr. Amrit Kumar Paul [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Description: Survival analysis is employed to model the time it takes for events to occur. Survival model examines the relationship between survival and one or more predictors, usually termed covariates in the survival-analysis literature. To this end, Cox-proportional (Cox-PH) hazard rate model introduced in a seminal paper by Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, is a broadly applicable and the most widely used method of survival analysis. This package can be used to estimate the effect of fixed and time-dependent covariates and also to compute the survival probabilities of the lactation of dairy animal. This package has been developed using algorithm of Klein and Moeschberger (2003) <doi:10.1007/b97377>.
License: GPL-3
Encoding: UTF-8
Imports: stats, survival, readxl
NeedsCompilation: no
Packaged: 2023-01-11 13:22:50 UTC; YEASIN
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-01-12 18:40:08 UTC

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Package repr updated to version 1.1.5 with previous version 1.1.4 dated 2022-01-04

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 1.1.4 dated 2022-01-04 and 1.1.5 dated 2023-01-12

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More information about repr at CRAN
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Package palaeoverse updated to version 1.1.0 with previous version 1.0.0 dated 2022-10-31

Title: Prepare and Explore Data for Palaeobiological Analyses
Description: Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2022) <doi:10.31223/X5Z94Q>.
Author: Lewis A. Jones [aut, cre] , William Gearty [aut] , Bethany J. Allen [aut] , Kilian Eichenseer [aut] , Christopher D. Dean [aut] , Sofia Galvan [ctb] , Miranta Kouvari [ctb] , Pedro L. Godoy [ctb] , Cecily Nicholl [ctb] , Lucas Buffan [ctb] , Erin M. [...truncated...]
Maintainer: Lewis A. Jones <LewisAlan.Jones@uvigo.es>

Diff between palaeoverse versions 1.0.0 dated 2022-10-31 and 1.1.0 dated 2023-01-12

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 palaeoverse-1.1.0/palaeoverse/tests/testthat/test-time_bins.R                                             |   14 
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Package healthyR.ai updated to version 0.0.11 with previous version 0.0.10 dated 2022-11-16

Title: The Machine Learning and AI Modeling Companion to 'healthyR'
Description: Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.ai versions 0.0.10 dated 2022-11-16 and 0.0.11 dated 2023-01-12

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Package rgdal updated to version 1.6-4 with previous version 1.6-3 dated 2022-12-14

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Please note that 'rgdal' will be retired by the end of 2023, plan transition to sf/stars/'terra' functions using 'GDAL' and 'PROJ' at your earliest convenience. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] , Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Daniel Baston [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package IFAA updated to version 1.1.2 with previous version 1.1.0 dated 2022-11-02

Title: Robust Inference for Absolute Abundance in Microbiome Analysis
Description: This package offers a robust approach to make inference on the association of covariates with the absolute abundance (AA) of microbiome in an ecosystem. It can be also directly applied to relative abundance (RA) data to make inference on AA because the ratio of two RA is equal to the ratio of their AA. This algorithm can estimate and test the associations of interest while adjusting for potential confounders. The estimates of this method have easy interpretation like a typical regression analysis. High-dimensional covariates are handled with regularization and it is implemented by parallel computing. False discovery rate is automatically controlled by this approach. Zeros do not need to be imputed by a positive value for the analysis. The IFAA package also offers the 'MZILN' function for estimating and testing associations of abundance ratios with covariates.
Author: Quran Wu [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <lzg2151@gmail.com>

Diff between IFAA versions 1.1.0 dated 2022-11-02 and 1.1.2 dated 2023-01-12

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Package iBST updated to version 1.2 with previous version 1.1 dated 2022-04-18

Title: Improper Bagging Survival Tree
Description: Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016)<doi:10.1186/s12859-016-1090-x> for an overview about the methods implemented in this package.
Author: Cyprien Mbogning and Philippe Broet
Maintainer: Cyprien Mbogning <cyprien.mbogning@gmail.com>

Diff between iBST versions 1.1 dated 2022-04-18 and 1.2 dated 2023-01-12

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Package SNPannotator updated to version 0.2.6.0 with previous version 0.2.5.0 dated 2022-08-15

Title: Investigating the Functional Characteristics of Selected SNPs and Their Vicinity Genomic Region
Description: To investigate the functional characteristics of selected SNPs and their vicinity genomic region. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.
Author: Alireza Ani [aut, cre], Zoha Kamali [aut], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

Diff between SNPannotator versions 0.2.5.0 dated 2022-08-15 and 0.2.6.0 dated 2023-01-12

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 R/getVariantData.R |    5 ++++-
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Package eaf updated to version 2.4 with previous version 2.3 dated 2021-12-21

Title: Plots of the Empirical Attainment Function
Description: Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
Author: Manuel Lopez-Ibanez [aut, cre] , Marco Chiarandini [aut], Carlos Fonseca [aut], Luis Paquete [aut], Thomas Stuetzle [aut], Mickael Binois [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between eaf versions 2.3 dated 2021-12-21 and 2.4 dated 2023-01-12

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 NAMESPACE                 |    6 
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Package dfms updated to version 0.1.4 with previous version 0.1.3 dated 2022-10-12

Title: Dynamic Factor Models
Description: Efficient estimation of Dynamic Factor Models using the Expectation Maximization (EM) algorithm or Two-Step (2S) estimation, supporting datasets with missing data. The estimation options follow advances in the econometric literature: either running the Kalman Filter and Smoother once with initial values from PCA - 2S estimation as in Doz, Giannone and Reichlin (2011) <doi:10.1016/j.jeconom.2011.02.012> - or via iterated Kalman Filtering and Smoothing until EM convergence - following Doz, Giannone and Reichlin (2012) <doi:10.1162/REST_a_00225> - or using the adapted EM algorithm of Banbura and Modugno (2014) <doi:10.1002/jae.2306>, allowing arbitrary patterns of missing data. The implementation makes heavy use of the 'Armadillo' 'C++' library and the 'collapse' package, providing for particularly speedy estimation. A comprehensive set of methods supports interpretation and visualization of the model as well as forecasting. Information criteria to choose the number of f [...truncated...]
Author: Sebastian Krantz [aut, cre], Rytis Bagdziunas [aut]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

Diff between dfms versions 0.1.3 dated 2022-10-12 and 0.1.4 dated 2023-01-12

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New package QurvE with initial version 1.0
Package: QurvE
Title: Robust and User-Friendly Analysis of Growth and Fluorescence Curves
Version: 1.0
Description: High-throughput analysis of growth curves and fluorescence data using three methods: linear regression, growth model fitting, and smooth spline fit. Analysis of dose-response relationships via smoothing splines or dose-response models. Complete data analysis workflows can be executed in a single step via user-friendly wrapper functions. The results of these workflows are summarized in detailed reports as well as intuitively navigable 'R' data containers. A 'shiny' application provides access to all features without requiring any programming knowledge.
License: GPL (>= 3)
URL: https://github.com/NicWir/QurvE, https://nicwir.github.io/QurvE/
BugReports: https://github.com/NicWir/QurvE/issues
Depends: dplyr, methods, R (>= 4.0), stringr, tidyr
Imports: doParallel, drc, DT, foreach, ggh4x, ggnewscale, ggplot2, ggpubr, kableExtra, knitr, labeling, magrittr, minpack.lm, plyr, RColorBrewer, readxl, rmarkdown, scales, shiny, stats, utils
Suggests: bookdown, Cairo, htmltools, plotrix, prettydoc, rlang, shinyBS, shinycssloaders, shinyFiles, shinyjs, shinysurveys, shinythemes, testthat (>= 3.0.0), tibble, tinytex
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-12 11:32:22 UTC; nicwir
Author: Nicolas T. Wirth [aut, cre, cph] , Jonathan Funk [aut] , Matthias Kahm [ctb] , Maik Kschischo [ctb] , Thomas Petzoldt [ctb] , Andrew Stein [ctb] , Michael W. Kearney [ctb] , Santiago I. Hurtado [ctb] , Mark Heckmann [ctb] , Nicholas Hamilton [ctb] , [...truncated...]
Maintainer: Nicolas T. Wirth <mail.nicowirth@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-12 13:10:03 UTC

More information about QurvE at CRAN
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Package MedianaDesigner updated to version 0.12 with previous version 0.11 dated 2022-12-15

Title: Power and Sample Size Calculations for Clinical Trials
Description: Efficient simulation-based power and sample size calculations are supported for a broad class of late-stage clinical trials. The following modules are included in the package: Adaptive designs with data-driven sample size or event count re-estimation, Adaptive designs with data-driven treatment selection, Adaptive designs with data-driven population selection, Optimal selection of a futility stopping rule, Event prediction in event-driven trials, Adaptive trials with response-adaptive randomization (experimental module), Traditional trials with multiple objectives (experimental module). Traditional trials with cluster-randomized designs (experimental module).
Author: Alex Dmitrienko [aut, cre]
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>

Diff between MedianaDesigner versions 0.11 dated 2022-12-15 and 0.12 dated 2023-01-12

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 tests/testthat/test-ADTreatSel.r |   34 +++++++++++++++++++++++++---------
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Package s2 updated to version 1.1.2 with previous version 1.1.1 dated 2022-11-17

Title: Spherical Geometry Operators Using the S2 Geometry Library
Description: Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Author: Dewey Dunnington [aut] , Edzer Pebesma [aut, cre] , Ege Rubak [aut], Jeroen Ooms [ctb] , Google, Inc. [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between s2 versions 1.1.1 dated 2022-11-17 and 1.1.2 dated 2023-01-12

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Package rworkflows updated to version 0.99.5 with previous version 0.99.3 dated 2022-12-21

Title: Test, Document, Containerise, and Deploy R Packages
Description: Continuous integration for R packages. Automates testing, documentation website building, and containerised deployment.
Author: Brian Schilder [aut, cre] , Alan Murphy [aut, ctb] , Nathan Skene [aut]
Maintainer: Brian Schilder <brian_schilder@alumni.brown.edu>

Diff between rworkflows versions 0.99.3 dated 2022-12-21 and 0.99.5 dated 2023-01-12

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Package adegenet updated to version 2.1.9 with previous version 2.1.8 dated 2022-10-02

Title: Exploratory Analysis of Genetic and Genomic Data
Description: Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.
Author: Thibaut Jombart [aut] , Zhian N. Kamvar [aut, cre] , Caitlin Collins [ctb], Roman Lustrik [ctb], Marie-Pauline Beugin [ctb], Brian J. Knaus [ctb], Peter Solymos [ctb], Vladimir Mikryukov [ctb], Klaus Schliep [ctb], Tiago Maie [ctb], Libor Morkovsky [ [...truncated...]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between adegenet versions 2.1.8 dated 2022-10-02 and 2.1.9 dated 2023-01-12

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Package SCpubr updated to version 1.1.1 with previous version 1.1.0 dated 2023-01-11

Title: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data
Description: A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the goal is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.
Author: Enrique Blanco-Carmona [cre, aut]
Maintainer: Enrique Blanco-Carmona <scpubr@gmail.com>

Diff between SCpubr versions 1.1.0 dated 2023-01-11 and 1.1.1 dated 2023-01-12

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Package rolog updated to version 0.9.10 with previous version 0.9.9 dated 2023-01-06

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to 'SWI'-'Prolog', <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to 'prolog' ('consult', 'query'/'submit', 'once', 'findall').
Author: Matthias Gondan [aut, com, cre]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rolog versions 0.9.9 dated 2023-01-06 and 0.9.10 dated 2023-01-12

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New package KODAMA with initial version 2.4
Package: KODAMA
Version: 2.4
Date: 2023-01-11
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 2.10.0), stats, minerva, Rtsne, umap
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, knitr, rmarkdown
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2023-01-11 15:27:04 UTC; user
NeedsCompilation: yes
Repository: CRAN
Author: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]
Date/Publication: 2023-01-12 11:20:06 UTC

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New package gerbil with initial version 0.1.9
Package: gerbil
Title: Generalized Efficient Regression-Based Imputation with Latent Processes
Version: 0.1.9
Author: Michael Robbins [aut, cre], Max Griswold [ctb], Pedro Nascimento de Lima [ctb]
Maintainer: Michael Robbins <mrobbins@rand.org>
Description: Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice. See Robbins (2021) <arXiv:2008.02243>.
License: GPL-2
Depends: R (>= 2.10)
Imports: base, DescTools, graphics, grDevices, lattice, MASS, mvtnorm, openxlsx, parallel, pbapply, stats, truncnorm, utils
Suggests: dplyr, knitr, mice, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-01-11 18:35:14 UTC; mrobbins
Repository: CRAN
Date/Publication: 2023-01-12 11:20:02 UTC

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Package ClaimsProblems updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-03

Title: Analysis of Conflicting Claims
Description: The analysis of conflicting claims arises when an amount has to be divided among a set of agents with claims that exceed what is available. A rule is a way of selecting a division among the claimants. This package computes the main rules introduced in the literature from the old times until nowadays. The inventory of rules covers the proportional and the adjusted proportional rules, the constrained equal awards and the constrained equal losses rules, the constrained egalitarian, the Piniles’ and the minimal overlap rules, the random arrival and the Talmud rules. Besides, the Dominguez and Thomson and the average of awards rules are also included. All of them can be found in the book of W. Thomson (2019), 'How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation', with the exception of the average of awards rule (Mirás Calvo et al. (2022), <doi:10.1007/s00355-022-01414-6>). In addition, graphical diagrams allow t [...truncated...]
Author: Iago Nunez Lugilde [aut, cre] , Miguel Ángel Miras Calvo [aut] , Carmen Quinteiro Sandomingo [aut] , Estela Sanchez Rodriguez [aut]
Maintainer: Iago Nunez Lugilde <iago.nunez.lugilde@uvigo.es>

Diff between ClaimsProblems versions 0.2.0 dated 2022-06-03 and 0.2.1 dated 2023-01-12

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New package aorsf with initial version 0.0.7
Package: aorsf
Title: Accelerated Oblique Random Survival Forests
Version: 0.0.7
Description: Fit, interpret, and make predictions with oblique random survival forests. Oblique decision trees are notoriously slow compared to their axis based counterparts, but 'aorsf' runs as fast or faster than axis-based decision tree algorithms for right-censored time-to-event outcomes. Methods to accelerate and interpret the oblique random survival forest are described in Jaeger et al., (2022) <arXiv:2208.01129>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, data.table, utils, stats, collapse
URL: https://github.com/ropensci/aorsf, https://docs.ropensci.org/aorsf/
BugReports: https://github.com/ropensci/aorsf/issues/
Depends: R (>= 3.6)
Suggests: survival, SurvMetrics, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown, glmnet, covr, units, tibble
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-11 17:14:44 UTC; bjaeger
Author: Byron Jaeger [aut, cre] , Nicholas Pajewski [ctb], Sawyer Welden [ctb], Christopher Jackson [rev], Marvin Wright [rev], Lukas Burk [rev]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2023-01-12 11:50:02 UTC

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Package randomForestSRC updated to version 3.2.0 with previous version 3.1.1 dated 2022-07-06

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.1.1 dated 2022-07-06 and 3.2.0 dated 2023-01-12

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Package ragg updated to version 1.2.5 with previous version 1.2.4 dated 2022-10-24

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ragg versions 1.2.4 dated 2022-10-24 and 1.2.5 dated 2023-01-12

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Package populR updated to version 0.2.0 with previous version 0.1.6 dated 2022-08-09

Title: Population Downscaling Using Areal Interpolation
Description: Downscaling of population data obtained by census surveys using areal interpolation. Given a set of source zone polygons such as census tracts or city blocks alongside with population counts and a target zone of incogruent yet superimposed polygon features (such as individual buildings) populR transforms population counts from the former to the latter using Areal Weighting and Volume Weighting Interpolation methods.
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>

Diff between populR versions 0.1.6 dated 2022-08-09 and 0.2.0 dated 2023-01-12

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Package mwTensor updated to version 1.0.0 with previous version 0.99.6 dated 2022-06-15

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 0.99.6 dated 2022-06-15 and 1.0.0 dated 2023-01-12

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Package clustermq updated to version 0.8.95.4 with previous version 0.8.95.3 dated 2022-01-26

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert [aut, cre]
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package WebPower updated to version 0.8.7 with previous version 0.8.6 dated 2022-08-15

Title: Basic and Advanced Statistical Power Analysis
Description: This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Author: Zhiyong Zhang [aut, cre], Yujiao Mai [aut], Miao Yang [ctb]
Maintainer: Zhiyong Zhang <johnnyzhz@gmail.com>

Diff between WebPower versions 0.8.6 dated 2022-08-15 and 0.8.7 dated 2023-01-12

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Package sendmailR updated to version 1.4-0 with previous version 1.3-2 dated 2023-01-06

Title: Send Email Using R
Description: Package contains a simple SMTP client with minimal dependencies which provides a portable solution for sending email, including file attachments and inline html reports, from within R. SMTP Authentication and SSL/STARTTLS is implemented using curl.
Author: Olaf Mersmann [aut, cre] , Quinn Weber [ctb], Marius Barth [ctb] , Are Edvardsen [ctb] , Alexander Bartel [ctb]
Maintainer: Olaf Mersmann <olafm@p-value.net>

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Package Ryacas0 updated to version 0.4.4 with previous version 0.4.3 dated 2020-09-29

Title: Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)
Description: A legacy version of 'Ryacas', an interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Soeren Hoejsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] )
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package radiant.multivariate updated to version 1.5.0 with previous version 1.4.4 dated 2022-07-23

Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package plsVarSel updated to version 0.9.10 with previous version 0.9.9 dated 2022-10-29

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package performance updated to version 0.10.2 with previous version 0.10.1 dated 2022-11-25

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] , Vincent Arel-Bundock [ctb] , Remi Theriault [ctb] , Martin Jullum [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package ows4R updated to version 0.3-3 with previous version 0.3-2 dated 2022-11-08

Title: Interface to OGC Web-Services (OWS)
Description: Provides an Interface to Web-Services defined as standards by the Open Geospatial Consortium (OGC), including Web Feature Service (WFS) for vector data, Web Coverage Service (WCS), Catalogue Service (CSW) for ISO/OGC metadata, Web Processing Service (WPS) for data processes, and associated standards such as the common web-service specification (OWS) and OGC Filter Encoding. Partial support is provided for the Web Map Service (WMS). The purpose is to add support for additional OGC service standards such as Web Coverage Processing Service (WCPS), the Sensor Observation Service (SOS), or even new standard services emerging such OGC API or SensorThings.
Author: Emmanuel Blondel [aut, cre] , Alexandre Bennici [ctb] , Norbert Billet [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ows4R versions 0.3-2 dated 2022-11-08 and 0.3-3 dated 2023-01-12

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Package ggstats updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-06

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides suite of functions to plot regression model coefficients ("forest plots"). The suite also includes new statistics to compute proportions, weighted mean and cross-tabulation statistics, as well as new geometries to add alternative background color to a plot.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package geojsonR updated to version 1.1.1 with previous version 1.1.0 dated 2021-05-04

Title: A GeoJson Processing Toolkit
Description: Includes functions for processing GeoJson objects <https://en.wikipedia.org/wiki/GeoJSON> relying on 'RFC 7946' <https://datatracker.ietf.org/doc/pdf/rfc7946.pdf>. The geojson encoding is based on 'json11', a tiny JSON library for 'C++11' <https://github.com/dropbox/json11>. Furthermore, the source code is exported in R through the 'Rcpp' and 'RcppArmadillo' packages.
Author: Lampros Mouselimis [aut, cre] , Dropbox Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between geojsonR versions 1.1.0 dated 2021-05-04 and 1.1.1 dated 2023-01-12

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Package fstcore updated to version 0.9.14 with previous version 0.9.12 dated 2022-03-23

Title: R Bindings to the 'Fstlib' Library
Description: The 'fstlib' library provides multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for random access of stored data and compression with the 'LZ4' and 'ZSTD' compressors.
Author: Mark Klik [aut, cre, cph] , Yuta Mori [ctb, cph] , Przemyslaw Skibinski [ctb, cph] , Tino Reichardt [ctb, cph] , Yann Collet [ctb, cph] , Facebook, Inc. [cph]
Maintainer: Mark Klik <markklik@gmail.com>

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New package factset.protobuf.stachextensions with initial version 1.0.3
Package: factset.protobuf.stachextensions
Title: 'FactSet' 'STACH' Extensions Package
Version: 1.0.3
Description: Allow clients to convert 'FactSet' 'STACH' formatted data to simpler tabular formats in the form of data frames. This package also provides helper methods to extract the meta data from 'FactSet' 'STACH' formatted data. See documentation on the 'GitHub' repository for more information.
License: Apache License 2.0
URL: https://github.com/factset/stach-extensions
BugReports: https://github.com/factset/stach-extensions/issues
Imports: jsonlite, R6, stringr
Suggests: testthat
SystemRequirements: ProtoBuf libraries and compiler version 3.3.0 or later; On Debian/Ubuntu these can be installed as libprotoc-dev, libprotobuf-dev and protobuf-compiler, while on Fedora/CentOS protobuf-devel and protobuf-compiler are needed.
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-10 06:01:55 UTC; vmupparaju
Author: Veda Bhaskara Ramanth [aut, cre]
Maintainer: Veda Bhaskara Ramanth <vedabhaskararamanth.addala@factset.com>
Repository: CRAN
Date/Publication: 2023-01-12 09:50:02 UTC

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New package fabisearch with initial version 0.0.4.5
Package: fabisearch
Title: Change Point Detection in High-Dimensional Time Series Networks
Version: 0.0.4.5
Description: Implementation of the Factorized Binary Search (FaBiSearch) methodology for the estimation of the number and the location of multiple change points in the network (or clustering) structure of multivariate high-dimensional time series. The method is motivated by the detection of change points in functional connectivity networks for functional magnetic resonance imaging (fMRI) data. FaBiSearch uses non-negative matrix factorization (NMF), an unsupervised dimension reduction technique, and a new binary search algorithm to identify multiple change points. It requires minimal assumptions. Lastly, we provide interactive, 3-dimensional, brain-specific network visualization capability in a flexible, stand-alone function. This function can be conveniently used with any node coordinate atlas, and nodes can be color coded according to community membership, if applicable. The output is an elegantly displayed network laid over a cortical surface, which can be rotated in the 3-dimensional space. Th [...truncated...]
URL: https://github.com/mondrus96/FaBiSearch
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: rgl, reshape2, foreach, doParallel, doRNG, parallel
Depends: R (>= 3.10), NMF
Packaged: 2023-01-07 20:12:11 UTC; Martin
Author: Martin Ondrus [aut, cre], Ivor Cribben [aut]
Maintainer: Martin Ondrus <mondrus@ualberta.ca>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-01-12 09:10:02 UTC

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Package chemodiv updated to version 0.2.0 with previous version 0.1.3 dated 2022-08-26

Title: Analysing Chemodiversity of Phytochemical Data
Description: Quantify and visualise various measures of chemical diversity and dissimilarity, for phytochemical compounds and other sets of chemical composition data. Importantly, these measures can incorporate biosynthetic and/or structural properties of the chemical compounds, resulting in a more comprehensive quantification of diversity and dissimilarity. For details, see Petrén, Köllner and Junker (2023) <doi:10.1111/nph.18685>.
Author: Hampus Petren [aut, cre] , Tobias G. Koellner [aut] , Robert R. Junker [aut]
Maintainer: Hampus Petren <hampus.petren@gmail.com>

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Package ChainLadder updated to version 0.2.17 with previous version 0.2.16 dated 2022-08-23

Title: Statistical Methods and Models for Claims Reserving in General Insurance
Description: Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.
Author: Markus Gesmann [aut, cre], Daniel Murphy [aut], Yanwei Zhang [aut], Alessandro Carrato [aut], Giuseppe Crupi [ctb], Christophe Dutang [ctb], Arnaud Lacoume [ctb], Arthur Charpentier [ctb], Mario Wuthrich [aut], Fabio Concina [aut], Eric Dal Moro [au [...truncated...]
Maintainer: Markus Gesmann <markus.gesmann@googlemail.com>

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Package Ryacas updated to version 1.1.4 with previous version 1.1.3.1 dated 2020-11-15

Title: R Interface to the 'Yacas' Computer Algebra System
Description: Interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Soeren Hoejsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] )
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package RSA updated to version 0.10.6 with previous version 0.10.4 dated 2021-03-23

Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full second- or third-order polynomial, shifted and rotated squared difference model, rising ridge surfaces, basic squared difference model, asymmetric or level-dependent congruence effect models). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a5, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.
Author: Felix Schoenbrodt [cre, aut], Sarah Humberg [aut]
Maintainer: Felix Schoenbrodt <felix@nicebread.de>

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Package RNAsmc updated to version 0.8.0 with previous version 0.7.0 dated 2021-12-14

Title: RNA Secondary Structure Module Mining, Comparison and Plotting
Description: Provides function for RNA secondary structure plotting, comparison and module mining. Given a RNA secondary structure, you can obtain stem regions, hairpin loops, internal loops, bulge loops and multibranch loops of this RNA structure using this program. They are the basic modules of RNA secondary structure. For each module you get, you can use this program to label the RNA structure with a specific color. You can also use this program to compare two RNA secondary structures to get a score that represents similarity. Reference: Reuter JS, Mathews DH (2010) <doi:10.1186/1471-2105-11-129>.
Author: Zheng HeWei
Maintainer: Zheng HeWei<406649023@qq.com>

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Package rmumps updated to version 5.2.1-22 with previous version 5.2.1-20 dated 2022-10-20

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package rlibkriging updated to version 0.7-3.1 with previous version 0.7-3 dated 2023-01-09

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, and 'lbfgsb_cpp' is a 'C++' wrapper by Colin Fang around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Pascal Have [aut], Yann Richet [aut, cre] , Yves Deville [aut], Conrad Sanderson [ctb], Colin Fang [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

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Package mlr3viz updated to version 0.6.0 with previous version 0.5.10 dated 2022-08-15

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as task, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [aut] , Jakob Richter [aut] , Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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 mlr3viz-0.6.0/mlr3viz/NAMESPACE                                                                            |    2 
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 mlr3viz-0.6.0/mlr3viz/R/LearnerClassifRpart.R                                                              |   44 
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 mlr3viz-0.6.0/mlr3viz/R/LearnerRegrCVGlmnet.R                                                              |   10 
 mlr3viz-0.6.0/mlr3viz/R/LearnerRegrGlmnet.R                                                                |    8 
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 mlr3viz-0.6.0/mlr3viz/R/PredictionRegr.R                                                                   |   93 
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 mlr3viz-0.6.0/mlr3viz/R/TaskClassif.R                                                                      |   76 
 mlr3viz-0.6.0/mlr3viz/R/TaskClust.R                                                                        |   32 
 mlr3viz-0.6.0/mlr3viz/R/TaskRegr.R                                                                         |   54 
 mlr3viz-0.6.0/mlr3viz/R/TuningInstanceSingleCrit.R                                                         |   58 
 mlr3viz-0.6.0/mlr3viz/R/as_precrec.R                                                                       |    5 
 mlr3viz-0.6.0/mlr3viz/R/helper.R                                                                           |    6 
 mlr3viz-0.6.0/mlr3viz/R/plot_learner_prediction.R                                                          |   30 
 mlr3viz-0.6.0/mlr3viz/R/zzz.R                                                                              |    6 
 mlr3viz-0.6.0/mlr3viz/README.md                                                                            |   52 
 mlr3viz-0.6.0/mlr3viz/build/partial.rdb                                                                    |binary
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 mlr3viz-0.6.0/mlr3viz/man/autoplot.Filter.Rd                                                               |   25 
 mlr3viz-0.6.0/mlr3viz/man/autoplot.LearnerClassifGlmnet.Rd                                                 |   34 
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 mlr3viz-0.6.0/mlr3viz/man/autoplot.ResampleResult.Rd                                                       |   50 
 mlr3viz-0.6.0/mlr3viz/man/autoplot.TaskClassif.Rd                                                          |   31 
 mlr3viz-0.6.0/mlr3viz/man/autoplot.TaskClust.Rd                                                            |   27 
 mlr3viz-0.6.0/mlr3viz/man/autoplot.TaskRegr.Rd                                                             |   30 
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 mlr3viz-0.6.0/mlr3viz/man/plot_learner_prediction.Rd                                                       |   17 
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Package mapsFinland updated to version 0.2.0 with previous version 0.1.1 dated 2020-04-02

Title: Maps of Finland
Description: Maps and other related data of Finland.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

Diff between mapsFinland versions 0.1.1 dated 2020-04-02 and 0.2.0 dated 2023-01-12

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Package ipaddress updated to version 1.0.0 with previous version 0.5.6 dated 2022-12-11

Title: Data Analysis for IP Addresses and Networks
Description: Classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python 'ipaddress' module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the 'tidyverse'.
Author: David Hall [aut, cre]
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ipaddress versions 0.5.6 dated 2022-12-11 and 1.0.0 dated 2023-01-12

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 ipaddress-1.0.0/ipaddress/R/ip_to_binary.R                         |   18 
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 ipaddress-1.0.0/ipaddress/R/ip_to_integer.R                        |    8 
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 ipaddress-1.0.0/ipaddress/R/test-helpers.R                         |    2 
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 ipaddress-1.0.0/ipaddress/man/ip_to_integer.Rd                     |    8 
 ipaddress-1.0.0/ipaddress/man/ipaddress-package.Rd                 |    2 
 ipaddress-1.0.0/ipaddress/man/ipv6-transition.Rd                   |    4 
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 ipaddress-1.0.0/ipaddress/man/network_size.Rd                      |    6 
 ipaddress-1.0.0/ipaddress/man/sample.Rd                            |   10 
 ipaddress-1.0.0/ipaddress/man/sequence.Rd                          |    2 
 ipaddress-1.0.0/ipaddress/man/traverse_hierarchy.Rd                |   10 
 ipaddress-1.0.0/ipaddress/src/address_ranges.cpp                   |   10 
 ipaddress-1.0.0/ipaddress/src/ip_address.cpp                       |    6 
 ipaddress-1.0.0/ipaddress/src/ip_network.cpp                       |    6 
 ipaddress-1.0.0/ipaddress/src/ip_to_binary.cpp                     |    4 
 ipaddress-1.0.0/ipaddress/src/ip_to_bytes.cpp                      |    4 
 ipaddress-1.0.0/ipaddress/src/ip_to_hex.cpp                        |    4 
 ipaddress-1.0.0/ipaddress/src/ip_to_hostname.cpp                   |    4 
 ipaddress-1.0.0/ipaddress/src/masking.cpp                          |    6 
 ipaddress-1.0.0/ipaddress/src/networks.cpp                         |    8 
 ipaddress-1.0.0/ipaddress/src/operators.cpp                        |   14 
 ipaddress-1.0.0/ipaddress/src/reserved.cpp                         |    6 
 ipaddress-1.0.0/ipaddress/src/reverse_pointer.cpp                  |    2 
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 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_interface.R       |    4 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_network_v4.R      |   16 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_network_v6.R      |   10 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_to_binary.R       |    8 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_to_bytes.R        |   12 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_to_hex.R          |   28 -
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_to_hostname.R     |   54 +-
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_to_integer.R      |   21 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ip_version.R         |   12 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-ipv6_transition.R    |   44 +-
 ipaddress-1.0.0/ipaddress/tests/testthat/test-network_mask.R       |   56 +-
 ipaddress-1.0.0/ipaddress/tests/testthat/test-network_size.R       |   12 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-operators.R          |    8 
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 ipaddress-1.0.0/ipaddress/tests/testthat/test-reserved.R           |   32 +
 ipaddress-1.0.0/ipaddress/tests/testthat/test-reverse_pointer.R    |    4 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-sample.R             |   33 -
 ipaddress-1.0.0/ipaddress/tests/testthat/test-sequence.R           |   15 
 ipaddress-1.0.0/ipaddress/tests/testthat/test-traverse_hierarchy.R |   89 ++--
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More information about ipaddress at CRAN
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