Thu, 14 Dec 2023

Package rsconnect updated to version 1.2.0 with previous version 1.1.1 dated 2023-10-04

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.1.1 dated 2023-10-04 and 1.2.0 dated 2023-12-14

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Package bittermelon updated to version 1.1.2 with previous version 1.1.1 dated 2023-02-12

Title: Monochrome Bitmap Font Tools
Description: Provides functions for creating and modifying bitmaps with special emphasis on bitmap fonts and their glyphs. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'Python' is installed can also read/write several more bitmap font formats using an embedded version of 'monobit'.
Author: Trevor L Davis [aut, cre] , Rob Hagemans [cph] , Frederic Cambus [cph]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between bittermelon versions 1.1.1 dated 2023-02-12 and 1.1.2 dated 2023-12-14

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Package rtkore updated to version 1.6.10 with previous version 1.6.7 dated 2022-10-25

Title: 'STK++' Core Library Integration to 'R' using 'Rcpp'
Description: 'STK++' <http://www.stkpp.org> is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an 'Eigen'-like API), regression, dimension reduction, etc. The integration of the library to 'R' is using 'Rcpp'. The 'rtkore' package includes the header files from the 'STK++' core library. All files contain only template classes and/or inline functions. 'STK++' is licensed under the GNU LGPL version 2 or later. 'rtkore' (the 'stkpp' integration into 'R') is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.
Author: Serge Iovleff [aut, cre], Parmeet Bhatia [ctb]
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>

Diff between rtkore versions 1.6.7 dated 2022-10-25 and 1.6.10 dated 2023-12-14

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Package teal.widgets updated to version 0.4.2 with previous version 0.4.1 dated 2023-10-10

Title: 'shiny' Widgets for 'teal' Applications
Description: Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.widgets versions 0.4.1 dated 2023-10-10 and 0.4.2 dated 2023-12-14

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Package robustlmm updated to version 3.3-1 with previous version 3.2-5 dated 2023-11-14

Title: Robust Linear Mixed Effects Models
Description: Implements the Robust Scoring Equations estimator to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma@proton.me>

Diff between robustlmm versions 3.2-5 dated 2023-11-14 and 3.3-1 dated 2023-12-14

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Package projpred updated to version 2.8.0 with previous version 2.7.0 dated 2023-09-30

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2023, <arXiv:2301.01660>), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, <arXiv:2109.04702>, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [aut], Frank Weber [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Buerkner [ctb], Hamada S. Badr [ctb], Brian Sullivan [ctb], Soelvi Roegnvaldsson [c [...truncated...]
Maintainer: Frank Weber <fweber144@protonmail.com>

Diff between projpred versions 2.7.0 dated 2023-09-30 and 2.8.0 dated 2023-12-14

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Package nice updated to version 0.4-2 with previous version 0.4-1 dated 2016-11-28

Title: Get or Set UNIX Niceness
Description: Get or set UNIX priority (niceness) of running R process.
Author: Charles J. Geyer <geyer@umn.edu>.
Maintainer: Charles J. Geyer <geyer@umn.edu>

Diff between nice versions 0.4-1 dated 2016-11-28 and 0.4-2 dated 2023-12-14

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Package growR updated to version 1.2.0 with previous version 1.1.0 dated 2023-11-22

Title: Implementation of the Vegetation Model ModVege
Description: Run grass growth simulations using a grass growth model based on ModVege (Jouven, M., P. Carrère, and R. Baumont "Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description." (2006) <doi:10.1111/j.1365-2494.2006.00515.x>). The implementation in this package contains a few additions to the above cited version of ModVege, such as simulations of management decisions, and influences of snow cover. As such, the model is fit to simulate grass growth in mountainous regions, such as the Swiss Alps. The package also contains routines for calibrating the model and helpful tools for analysing model outputs and performance.
Author: Kevin Kramer [aut, cre, cph]
Maintainer: Kevin Kramer <kevin.pasqual.kramer@protonmail.ch>

Diff between growR versions 1.1.0 dated 2023-11-22 and 1.2.0 dated 2023-12-14

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Package Certara.R updated to version 1.1.0 with previous version 1.0.0 dated 2022-02-11

Title: Easily Install Pharmacometric Packages and Shiny Applications Developed by Certara
Description: A convenient set of wrapper functions to install pharmacometric packages and Shiny applications developed by Certara PMX and Integrated Drug Development (iDD). The functions ensure the successful installation of packages from non-standard repositories.
Author: James Craig [aut, cre], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

Diff between Certara.R versions 1.0.0 dated 2022-02-11 and 1.1.0 dated 2023-12-14

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Package windex updated to version 2.0.7 with previous version 2.0.6 dated 2023-10-11

Title: Analysing Convergent Evolution using the Wheatsheaf Index
Description: Analysing convergent evolution using the Wheatsheaf index, described in Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other unrelated but perhaps useful functions.
Author: Kevin Arbuckle and Amanda Minter
Maintainer: Kevin Arbuckle <kevin.arbuckle@swansea.ac.uk>

Diff between windex versions 2.0.6 dated 2023-10-11 and 2.0.7 dated 2023-12-14

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New package vcfppR with initial version 0.3.5
Package: vcfppR
Title: Rapid Manipulation of the Variant Call Format (VCF)
Version: 0.3.5
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF/BCF files. Explore a range of powerful features for efficient VCF data manipulation.
Encoding: UTF-8
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
SystemRequirements: libcurl: libcurl-devel (rpm) or libcurl4-openssl-dev (deb), GNU make.
Imports: Rcpp, methods
LinkingTo: Rcpp
URL: https://github.com/Zilong-Li/vcfppR
BugReports: https://github.com/Zilong-Li/vcfppR/issues
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2023-12-14 10:05:03 UTC; zilong
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-14 16:30:02 UTC

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New package tern.mmrm with initial version 0.3.0
Package: tern.mmrm
Title: Tables and Graphs for Mixed Models for Repeated Measures (MMRM)
Version: 0.3.0
Date: 2023-12-08
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. This package provides an interface for fitting MMRM within the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.
License: Apache License 2.0
URL: https://github.com/insightsengineering/tern.mmrm, https://insightsengineering.github.io/tern.mmrm/
BugReports: https://github.com/insightsengineering/tern.mmrm/issues
Depends: R (>= 3.6), tern (>= 0.9.3)
Imports: checkmate, cowplot, dplyr, emmeans (>= 1.6), formatters (>= 0.5.5), generics, ggplot2, lifecycle, magrittr, mmrm (>= 0.3.5), parallelly, rlang, rtables (>= 0.6.6), stats, tidyr
Suggests: broom, grid, knitr, maditr, Matrix, rmarkdown, testthat (>= 3.1), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-12-14 08:52:51 UTC; sabanesd
Author: Daniel Sabanes Bove [aut, cre], Godwin Yung [aut], Francois Collin [aut], Julia Dedic [aut], Jana Stoilova [aut], Joe Zhu [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@roche.com>
Repository: CRAN
Date/Publication: 2023-12-14 16:10:02 UTC

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New package SSEparser with initial version 0.1.0
Package: SSEparser
Title: Parse Server-Sent Events
Version: 0.1.0
Description: Functionality to parse server-sent events with a high-level interface that can be extended for custom applications.
License: MIT + file LICENSE
URL: https://github.com/calderonsamuel/SSEparser, https://calderonsamuel.github.io/SSEparser/
BugReports: https://github.com/calderonsamuel/SSEparser/issues
Imports: magrittr, purrr, R6, rlang, stringr
Suggests: jsonlite, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-12-14 11:32:34 UTC; Samuel
Author: Samuel Calderon [aut, cre, cph]
Maintainer: Samuel Calderon <samuel.calderon@uarm.pe>
Repository: CRAN
Date/Publication: 2023-12-14 16:30:06 UTC

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New package riskscores with initial version 1.0.2
Package: riskscores
Title: Optimized Integer Risk Score Models
Version: 1.0.2
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
URL: https://github.com/hjeglinton/riskscores
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, foreach, ggplot2, magrittr, stats
Suggests: knitr, kableExtra, rmarkdown, doParallel
VignetteBuilder: knitr, kableExtra
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-12-14 14:18:34 UTC; hannaheglinton
Author: Hannah Eglinton [aut, cre], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-14 16:40:02 UTC

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New package randomMachines with initial version 0.1.0
Package: randomMachines
Title: An Ensemble Modeling using Random Machines
Version: 0.1.0
Description: A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: kernlab, methods, stats
Depends: R (>= 2.10)
Suggests:
NeedsCompilation: no
Packaged: 2023-12-14 14:52:32 UTC; mateusmaia
Author: Mateus Maia [aut, cre] , Anderson Ara [cte] , Gabriel Ribeiro [cte]
Maintainer: Mateus Maia <mateus.maiamarques.2021@mumail.ie>
Repository: CRAN
Date/Publication: 2023-12-14 16:40:05 UTC

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Package PST updated to version 0.94.1 with previous version 0.94 dated 2017-02-03

Title: Probabilistic Suffix Trees and Variable Length Markov Chains
Description: Provides a framework for analysing state sequences with probabilistic suffix trees (PST), the construction that stores variable length Markov chains (VLMC). Besides functions for learning and optimizing VLMC models, the PST library includes many additional tools to analyse sequence data with these models: visualization tools, functions for sequence prediction and artificial sequences generation, as well as for context and pattern mining. The package is specifically adapted to the field of social sciences by allowing to learn VLMC models from sets of individual sequences possibly containing missing values, and by accounting for case weights. The library also allows to compute probabilistic divergence between two models, and to fit segmented VLMC, where sub-models fitted to distinct strata of the learning sample are stored in a single PST. This software results from research work executed within the framework of the Swiss National Centre of Competence in Research LIVES, which is finance [...truncated...]
Author: Alexis Gabadinho [aut, cre, cph]
Maintainer: Alexis Gabadinho <alexis.gabadinho@wanadoo.fr>

Diff between PST versions 0.94 dated 2017-02-03 and 0.94.1 dated 2023-12-14

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New package mutationtypes with initial version 0.0.1
Package: mutationtypes
Title: Validate and Convert Mutational Impacts Using Standard Genomic Dictionaries
Version: 0.0.1
Description: Check concordance of a vector of mutation impacts with standard dictionaries such as Sequence Ontology (SO) <http://www.sequenceontology.org/>, Mutation Annotation Format (MAF) <https://docs.gdc.cancer.gov/Encyclopedia/pages/Mutation_Annotation_Format_TCGAv2/> or Prediction and Annotation of Variant Effects (PAVE) <https://github.com/hartwigmedical/hmftools/tree/master/pave>. It enables conversion between SO/PAVE and MAF terms and selection of the most severe consequence where multiple ampersand (&) delimited impacts are given.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: assertions, cli, data.table, stats, utils
Suggests: covr, testthat (>= 3.0.0)
URL: https://github.com/selkamand/mutationtypes
BugReports: https://github.com/selkamand/mutationtypes/issues
NeedsCompilation: no
Packaged: 2023-12-14 09:17:33 UTC; selkamand
Author: Sam El-Kamand [aut, cre] , Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-14 16:10:05 UTC

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Package monreg updated to version 0.1.4.1 with previous version 0.1.4 dated 2020-04-26

Title: Nonparametric Monotone Regression
Description: Estimates monotone regression and variance functions in a nonparametric model, based on Dette, Holger, Neumeyer, and Pilz (2006) <doi:10.3150/bj/1151525131>.
Author: This version Kay Pilz and Steffanie Titoff. Earlier developements by Holger Dette and Kay Pilz.
Maintainer: Scott Kostyshak <scott.kostyshak@gmail.com>

Diff between monreg versions 0.1.4 dated 2020-04-26 and 0.1.4.1 dated 2023-12-14

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Package InterfaceqPCR updated to version 1.0.1 with previous version 1.0 dated 2017-04-01

Title: GUI to Analyse qPCR Results after PMA Treatment or not
Description: Graphical User Interface allowing to determine the concentration in the sample in CFU per mL or in number of copies per mL provided to qPCR results after with or without PMA treatment. This package is simply to use because no knowledge in R commands is necessary. A graphic represents the standard curve, and a table containing the result for each sample is created.
Author: Olivier LE GOFF [aut, cre]
Maintainer: Olivier LE GOFF <olivierlegoff1@gmail.com>

Diff between InterfaceqPCR versions 1.0 dated 2017-04-01 and 1.0.1 dated 2023-12-14

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New package gwid with initial version 0.1.0
Package: gwid
Title: Genome-Wide Identity-by-Descent
Version: 0.1.0
Maintainer: Soroush Mahmoudiandehkordi <soroushmdg@gmail.com>
Description: Methods and tools for the analysis of Genome Wide Identity-by-Descent ('gwid') mapping data, focusing on testing whether there is a higher occurrence of Identity-By-Descent (IBD) segments around potential causal variants in cases compared to controls, which is crucial for identifying rare variants. To enhance its analytical power, 'gwid' incorporates a Sliding Window Approach, allowing for the detection and analysis of signals from multiple Single Nucleotide Polymorphisms (SNPs).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, gdsfmt, SNPRelate, Matrix, ggplot2, plotly, utils, stats, RcppRoll, methods, piggyback
Suggests: knitr, magrittr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/soroushmdg/gwid
BugReports: https://github.com/soroushmdg/gwid/issues
NeedsCompilation: no
Packaged: 2023-12-14 14:00:32 UTC; soroush
Author: Soroush Mahmoudiandehkordi [aut, cre], Mehdi Maadooliat [aut], Steven Schrodi [aut]
Repository: CRAN
Date/Publication: 2023-12-14 16:40:08 UTC

More information about gwid at CRAN
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Package Gammareg updated to version 3.0.1 with previous version 3.0 dated 2020-06-19

Title: Classic Gamma Regression: Joint Modeling of Mean and Shape Parameters
Description: Performs Gamma regression, where both mean and shape parameters follows lineal regression structures.
Author: Martha Corrales and Edilberto Cepeda-Cuervo, with the colaboration of Margarita Marin, Maria Fernanda Zarate, Ricardo Duplat and Campo Elias Pardo.
Maintainer: Martha Corrales <martha.corrales@usa.edu.co>

Diff between Gammareg versions 3.0 dated 2020-06-19 and 3.0.1 dated 2023-12-14

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Package frontiles updated to version 1.3.1 with previous version 1.3 dated 2023-04-02

Title: Partial Frontier Efficiency Analysis
Description: It calculates the alpha-quantile proposed by Daouia and Simar (2007) <doi:10.1016/j.jeconom.2006.07.002> and order-m efficiency score in multi-dimension proposed by Daouia and Gijbels (2011) <doi:10.1016/j.jeconom.2010.12.002> and computes several summaries and representation of the associated frontiers in 2d and 3d.
Author: Thibault Laurent [aut, cre, cph], Abdelaati Daouia [aut]
Maintainer: Thibault Laurent <thibault.laurent@univ-tlse1.fr>

Diff between frontiles versions 1.3 dated 2023-04-02 and 1.3.1 dated 2023-12-14

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Package Bayesiantreg updated to version 1.0.1 with previous version 1.0 dated 2022-01-18

Title: Bayesian t Regression for Modeling Mean and Scale Parameters
Description: Performs Bayesian t Regression where mean and scale parameters are modeling by lineal regression structures, and the degrees of freedom parameters are estimated.
Author: Margarita Marin and Edilberto Cepeda-Cuervo.
Maintainer: Margarita Marin <mmarinj@unal.edu.co>

Diff between Bayesiantreg versions 1.0 dated 2022-01-18 and 1.0.1 dated 2023-12-14

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Package timeDate updated to version 4032.109 with previous version 4022.108 dated 2023-01-07

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Joe W. Byers [ctb], Georgi N. Boshnakov [cre, aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between timeDate versions 4022.108 dated 2023-01-07 and 4032.109 dated 2023-12-14

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Package coursekata updated to version 0.15.0 with previous version 0.14.1 dated 2023-10-27

Title: Packages and Functions for 'CourseKata' Courses
Description: Easily install and load all packages and functions used in 'CourseKata' courses. Aid teaching with helper functions and augment generic functions to provide cohesion between the network of packages. Learn more about 'CourseKata' at <https://coursekata.org>.
Author: Adam Blake [cre, aut] , Ji Son [aut] , Jim Stigler [aut]
Maintainer: Adam Blake <adam@coursekata.org>

Diff between coursekata versions 0.14.1 dated 2023-10-27 and 0.15.0 dated 2023-12-14

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Package aster updated to version 1.1-3 with previous version 1.1-2 dated 2021-06-13

Title: Aster Models
Description: Aster models (Geyer, Wagenius, and Shaw, 2007, <doi:10.1093/biomet/asm030>; Shaw, Geyer, Wagenius, Hangelbroek, and Etterson, 2008, <doi:10.1086/588063>; Geyer, Ridley, Latta, Etterson, and Shaw, 2013, <doi:10.1214/13-AOAS653>) are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, life table analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the ex [...truncated...]
Author: Charles J. Geyer <geyer@umn.edu>
Maintainer: Charles J. Geyer <geyer@umn.edu>

Diff between aster versions 1.1-2 dated 2021-06-13 and 1.1-3 dated 2023-12-14

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Package vistla updated to version 2.0.1 with previous version 2.0.0 dated 2023-10-04

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

Diff between vistla versions 2.0.0 dated 2023-10-04 and 2.0.1 dated 2023-12-14

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Package mixAK updated to version 5.7 with previous version 5.6 dated 2023-09-25

Title: Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering
Description: Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.
Author: Arnost Komarek [aut, cre]
Maintainer: Arnost Komarek <arnost.komarek@mff.cuni.cz>

Diff between mixAK versions 5.6 dated 2023-09-25 and 5.7 dated 2023-12-14

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Package REDCapDM updated to version 0.9.0 with previous version 0.8.5 dated 2023-12-05

Title: 'REDCap' Data Management
Description: Access and manage 'REDCap' data. 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to programmatic access data and project meta data (such as the data dictionary) from the web. This package allows us to read 'REDCap' data, exported or using an API connection, identify missing or extreme values, identify missing 'REDCap' events in each observation, do a follow-up of the queries initially identified and it also facilitates the process of data management.
Author: Joao Carmezim [aut, cre], Pau Satorra [aut], Judith Penafiel [aut], Esther Garcia [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Joao Carmezim <jcarmezim@igtp.cat>

Diff between REDCapDM versions 0.8.5 dated 2023-12-05 and 0.9.0 dated 2023-12-14

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Package mlt updated to version 1.5-0 with previous version 1.4-9 dated 2023-08-21

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.4-9 dated 2023-08-21 and 1.5-0 dated 2023-12-14

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Package maldipickr updated to version 1.3.0 with previous version 1.2.0 dated 2023-10-25

Title: Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Description: Convenient wrapper functions for the analysis of matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) spectra data in order to select only representative spectra (also called cherry-pick). The package covers the preprocessing and dereplication steps (based on Strejcek, Smrhova, Junkova and Uhlik (2018) <doi:10.3389/fmicb.2018.01294>) needed to cluster MALDI-TOF spectra before the final cherry-picking step. It enables the easy exclusion of spectra and/or clusters to accommodate complex cherry-picking strategies. Alternatively, cherry-picking using taxonomic identification MALDI-TOF data is made easy with functions to import inconsistently formatted reports.
Author: Charlie Pauvert [aut, cre, cph] , David Wylensek [ctb] , Selina Nuechtern [ctb], Thomas Clavel [ctb, fnd, cph]
Maintainer: Charlie Pauvert <cpauvert@ukaachen.de>

Diff between maldipickr versions 1.2.0 dated 2023-10-25 and 1.3.0 dated 2023-12-14

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Package treebalance updated to version 1.2.0 with previous version 1.1.0 dated 2021-10-17

Title: Computation of Tree (Im)Balance Indices
Description: The aim of the 'R' package 'treebalance' is to provide functions for the computation of a large variety of (im)balance indices for rooted trees. The package accompanies the book ''Tree balance indices: a comprehensive survey'' by M. Fischer, L. Herbst, S. Kersting, L. Kuehn and K. Wicke (2023) <ISBN: 978-3-031-39799-8>, <doi:10.1007/978-3-031-39800-1>, which gives a precise definition for the terms 'balance index' and 'imbalance index' (Chapter 4) and provides an overview of the terminology in this manual (Chapter 2). For further information on (im)balance indices, see also Fischer et al. (2021) <https://treebalance.wordpress.com>. Considering both established and new (im)balance indices, 'treebalance' provides (among others) functions for calculating the following 18 established indices and index families: the average leaf depth, the B1 and B2 index, the Colijn-Plazzotta rank, the normal, corrected, quadratic and equal weights Colless index, the family of Colless-lik [...truncated...]
Author: Mareike Fischer [aut], Lina Herbst [aut], Sophie Kersting [aut], Luise Kuehn [aut, cre], Kristina Wicke [aut]
Maintainer: Luise Kuehn <treebalanceindices@gmail.com>

Diff between treebalance versions 1.1.0 dated 2021-10-17 and 1.2.0 dated 2023-12-14

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New package srlTS with initial version 0.1.1
Package: srlTS
Title: Sparsity-Ranked Lasso for Time Series
Version: 0.1.1
Description: An implementation of sparsity-ranked lasso for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2023+) <doi:10.48550/arXiv.2211.01492>, which also describes this package in greater detail. The Sparsity-Ranked Lasso (SRL) for Time Series implemented in 'srlTS' can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The SRL is considerably faster than its competitors, while often producing more accurate predictions. Also included is a long hourly series of ar [...truncated...]
Suggests: covr, kableExtra, knitr, magrittr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, methods, ncvreg, RcppRoll, rlang, yardstick
Depends: R (>= 3.5)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://petersonr.github.io/srlTS/, https://github.com/petersonR/srlTS/
BugReports: https://github.com/petersonR/srlTS/issues
Date: 2023-12-13
NeedsCompilation: no
Packaged: 2023-12-13 22:46:23 UTC; ryanpeterson
Author: Ryan Andrew Peterson [aut, cre, cph]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2023-12-14 08:00:02 UTC

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New package ggfixest with initial version 0.1.0
Package: ggfixest
Title: Dedicated 'ggplot2' Methods for 'fixest' Objects
Version: 0.1.0
Date: 2023-12-12
Description: Provides 'ggplot2' equivalents of fixest::coefplot() and fixest::iplot(), for producing nice coefficient plots and interaction plots. Enables some additional functionality and convenience features, including grouped multi-'fixest' object faceting and programmatic updates to existing plots (e.g., themes and aesthetics).
License: GPL-3
Encoding: UTF-8
URL: http://grantmcdermott.com/ggfixest/
BugReports: https://github.com/grantmcdermott/ggfixest/issues
Depends: ggplot2 (>= 2.2.0), fixest (>= 0.11.2)
Imports: dreamerr, ggh4x, scales, marginaleffects (>= 0.10.0), stats, utils
Suggests: knitr, rmarkdown, tinytest (>= 1.4.1), tinysnapshot (>= 0.0.3), magick, rsvg, svglite, fontquiver, data.table
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-13 22:31:25 UTC; gmcd
Author: Grant McDermott [aut, cre] , Laurent Berge [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>
Repository: CRAN
Date/Publication: 2023-12-14 08:00:06 UTC

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New package SweepDiscovery with initial version 0.1.1
Package: SweepDiscovery
Title: Selective Sweep Discovery Tool
Version: 0.1.1
Author: Abhik Sarkar [aut, cre], Dwijesh Chandra Mishra [aut], Dipro Sinha [aut], Saikath Das [aut], Md Yeasin [aut]
Maintainer: Abhik Sarkar <abhik.jenkins.sarkar@gmail.com>
Description: Selective sweep is a biological phenomenon in which genetic variation between neighboring beneficial mutant alleles is swept away due to the effect of genetic hitchhiking. Detection of selective sweep is not well acquainted as well as it is a laborious job. This package is a user friendly approach for detecting selective sweep in genomic regions. It uses a Random Forest based machine learning approach to predict selective sweep from VCF files as an input. Input of this function, train data and new data, can be computed using the project <https://github.com/AbhikSarkar1999/SweepDiscovery> in 'GitHub'. This package has been developed by using the concept of Pavlidis and Alachiotis (2017) <doi:10.1186/s40709-017-0064-0>.
License: GPL-3
Encoding: UTF-8
Imports: stats, utils, randomForest
NeedsCompilation: no
Packaged: 2023-12-13 17:09:43 UTC; YEASIN
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-12-14 06:20:02 UTC

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Package estmeansd updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-18

Title: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis
Description: Implements the methods of McGrath et al. (2020) <doi:10.1177/0962280219889080> and Cai et al. (2021) <doi:10.1177/09622802211047348> for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. These methods can be applied to studies that report the sample median, sample size, and one or both of (i) the sample minimum and maximum values and (ii) the first and third quartiles. The corresponding standard error estimators described by McGrath et al. (2023) <doi:10.1177/09622802221139233> are also included.
Author: Sean McGrath [aut, cre] , XiaoFei Zhao [aut], Russell Steele [aut], Andrea Benedetti [aut]
Maintainer: Sean McGrath <sean.mcgrath@mail.mcgill.ca>

Diff between estmeansd versions 1.0.0 dated 2022-06-18 and 1.0.1 dated 2023-12-14

 DESCRIPTION               |   11 +++----
 MD5                       |   20 ++++++------
 NEWS.md                   |    5 +++
 R/bc.helper.functions.R   |   10 +++---
 R/boot.R                  |    8 ++---
 R/mln.mean.sd.R           |    2 -
 README.md                 |   72 +++++++++++++++++++++++++++++++++++-----------
 man/get_SE.Rd             |    2 -
 man/get_SE.bc.mean.sd.Rd  |    2 -
 man/get_SE.mln.mean.sd.Rd |    2 -
 man/get_SE.qe.mean.sd.Rd  |    2 -
 11 files changed, 90 insertions(+), 46 deletions(-)

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Package samplingin updated to version 1.0.3 with previous version 1.0.1 dated 2023-12-04

Title: Dynamic Survey Sampling Solutions
Description: A robust solution employing both systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels. Kish, L. (1965) <https://books.google.co.id/books?id=xiZmAAAAIAAJ>.
Author: Choerul Afifanto [aut, cre, cph]
Maintainer: Choerul Afifanto <choerulafifanto@gmail.com>

Diff between samplingin versions 1.0.1 dated 2023-12-04 and 1.0.3 dated 2023-12-14

 DESCRIPTION       |   18 ++++++++++--------
 MD5               |    8 ++++----
 NEWS.md           |    4 ++++
 R/samplingin.R    |   25 ++++++++++++++++++++-----
 man/doSampling.Rd |    2 +-
 5 files changed, 39 insertions(+), 18 deletions(-)

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Package ExpImage (with last version 0.8.0) was removed from CRAN

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

2023-01-05 0.8.0
2022-12-03 0.7.0
2022-08-24 0.6.0
2022-07-05 0.5.0
2022-01-22 0.4.0
2021-12-11 0.3.0
2021-09-06 0.2.0
2021-08-10 0.1.0

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Package nuggets (with last version 1.0.1) was removed from CRAN

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

2023-11-29 1.0.1
2023-11-28 1.0.0

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