Mon, 31 Mar 2025

Package RFplus updated to version 1.5-4 with previous version 1.4-0 dated 2025-03-10

Title: Machine Learning for Merging Satellite and Ground Precipitation Data
Description: A machine learning algorithm that merges satellite and ground precipitation data using Random Forest for spatial prediction, residual modeling for bias correction, and quantile mapping for adjustment, ensuring accurate estimates across temporal scales and regions.
Author: Jonnathan Augusto Landi Bermeo [aut, cre, cph] , Alex Aviles [aut] , Dario Zhina [aut] , Marco Mogro [aut] , Anthony Guaman [aut]
Maintainer: Jonnathan Augusto Landi Bermeo <jonnathan.landi@outlook.com>

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More information about RFplus at CRAN
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Package pqrBayes updated to version 1.1.2 with previous version 1.1.1 dated 2025-02-23

Title: Bayesian Penalized Quantile Regression
Description: Bayesian regularized quantile regression utilizing sparse priors to impose exact sparsity leads to efficient Bayesian shrinkage estimation, variable selection and statistical inference. In this package, we have implemented robust Bayesian variable selection with spike-and-slab priors under high-dimensional linear regression models (Fan et al. (2024) <doi:10.3390/e26090794> and Ren et al. (2023) <doi:10.1111/biom.13670>), and regularized quantile varying coefficient models (Zhou et al.(2023) <doi:10.1016/j.csda.2023.107808>). In particular, valid robust Bayesian inferences under both models in the presence of heavy-tailed errors can be validated on finite samples. Additional models including robust Bayesian group LASSO are also included. The Markov Chain Monte Carlo (MCMC) algorithms of the proposed and alternative models are implemented in C++.
Author: Kun Fan [aut], Cen Wu [aut, cre], Jie Ren [aut], Xiaoxi Li [aut], Fei Zhou [aut]
Maintainer: Cen Wu <wucen@ksu.edu>

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Package JFE updated to version 2.5.9 with previous version 2.5.8 dated 2025-01-24

Title: Tools for Analyzing Time Series Data of Just Finance and Econometrics
Description: Offers procedures to support financial-economic time series modelling and enhanced procedures for computing the investment performance indices of Bacon (2004) <DOI:10.1002/9781119206309>.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package SQMtools updated to version 1.7.0 with previous version 1.6.3 dated 2023-09-18

Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>

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Package kidney.epi updated to version 1.3.0 with previous version 1.2.0 dated 2020-03-04

Title: Kidney-Related Functions for Clinical and Epidemiological Research
Description: Contains kidney care oriented functions. Current version contains functions for calculation of: - Estimated glomerular filtration rate by CKD-EPI (2021 and 2009), MDRD, CKiD, FAS, EKFC, etc. - Kidney Donor Risk Index and Kidney Donor Profile Index for kidney transplant donors. - Citation: Bikbov B. kidney.epi: Kidney-Related Functions for Clinical and Epidemiological Research. Scientific-Tools.Org, <https://Scientific-Tools.Org>. <doi:10.32614/CRAN.package.kidney.epi>.
Author: Boris Bikbov [aut, cre]
Maintainer: Boris Bikbov <boris.bikbov@scientific-tools.org>

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Package ottrpal updated to version 2.0.0 with previous version 1.2.1 dated 2024-01-09

Title: Companion Tools for Open-Source Tools for Training Resources (OTTR)
Description: Tools for converting Open-Source Tools for Training Resources (OTTR) courses into Leanpub or Coursera courses. 'ottrpal' is for use with the OTTR Template repository to create courses.
Author: Candace Savonen [aut, cre] , Carrie Wright [ctb], Howard Baek [ctb], Kate Isaac [ctb]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package CSIndicators updated to version 1.1.2 with previous version 1.1.1 dated 2024-01-24

Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, ...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in 'Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.13 [...truncated...]
Author: Theertha Kariyathan [cre], Victoria Agudetse [ctb], Eva Rifa [ctb], Nuria Perez-Zanon [aut] , Chou Chihchung [aut], Llorenc Lledo [aut], Gonzalez-Reviriego Nube [ctb], Marcos Rauel [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], BSC-CNS [cph]
Maintainer: Theertha Kariyathan <theertha.kariyathan@bsc.es>

Diff between CSIndicators versions 1.1.1 dated 2024-01-24 and 1.1.2 dated 2025-03-31

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Permanent link

Package countrycode updated to version 1.6.1 with previous version 1.6.0 dated 2024-03-22

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

Diff between countrycode versions 1.6.0 dated 2024-03-22 and 1.6.1 dated 2025-03-31

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 8 files changed, 27 insertions(+), 16 deletions(-)

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Permanent link

Package chromConverter updated to version 0.7.5 with previous version 0.2.1 dated 2022-07-11

Title: Chromatographic File Converter
Description: Reads chromatograms from binary formats into R objects. Currently supports conversion of 'Agilent ChemStation', 'Agilent MassHunter', 'Shimadzu LabSolutions', 'ThermoRaw', and 'Varian Workstation' files as well as various text-based formats. In addition to its internal parsers, chromConverter contains bindings to parsers in external libraries, such as 'Aston' <https://github.com/bovee/aston>, 'Entab' <https://github.com/bovee/entab>, 'rainbow' <https://rainbow-api.readthedocs.io/>, and 'ThermoRawFileParser' <https://github.com/compomics/ThermoRawFileParser>.
Author: Ethan Bass [aut, cre] , James Dillon [ctb, cph] , Evan Shi [ctb, cph]
Maintainer: Ethan Bass <ethanbass@gmail.com>

Diff between chromConverter versions 0.2.1 dated 2022-07-11 and 0.7.5 dated 2025-03-31

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Permanent link

Package bioRad updated to version 0.9.0 with previous version 0.8.1 dated 2024-07-30

Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] , Peter Desmet [aut] , Bart Kranstauber [aut] , Cecilia Nilsson [aut] , Stijn Van Hoey [aut] , Bart Hoekstra [ctb] , Pieter Huybrechts [ctb] , Hidde Leijnse [ctb] , Nicolas Noe [ctb] , Raphael Nussbaumer [ctb] , Jurriaan [...truncated...]
Maintainer: Adriaan M. Dokter <biorad@cornell.edu>

Diff between bioRad versions 0.8.1 dated 2024-07-30 and 0.9.0 dated 2025-03-31

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More information about bioRad at CRAN
Permanent link

Package sasr updated to version 0.1.5 with previous version 0.1.4 dated 2025-02-26

Title: 'SAS' Interface
Description: Provides a 'SAS' interface, through 'SASPy'(<https://sassoftware.github.io/saspy/>) and 'reticulate'(<https://rstudio.github.io/reticulate/>). This package helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS' servers, retrieve execution results and log, and exchange datasets between 'SAS' and 'R'. It also helps you to install 'SASPy' and create a configuration file for the connection. Please review the 'SASPy' license file as instructed so that you comply with its separate and independent license.
Author: Liming Li [aut, cre], Daniel Sabanes Bove [aut], Isaac Gravestock [aut], F. Hoffmann-La Roche AG [cph, fnd], AstraZeneca plc [cph, fnd]
Maintainer: Liming Li <liming.li1@astrazeneca.com>

Diff between sasr versions 0.1.4 dated 2025-02-26 and 0.1.5 dated 2025-03-31

 DESCRIPTION                     |   18 ++++++++++--------
 MD5                             |    8 ++++----
 NEWS.md                         |    4 ++++
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More information about sasr at CRAN
Permanent link

Package RProtoBuf updated to version 0.4.24 with previous version 0.4.23 dated 2025-01-14

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the stated minimum.
Author: Romain Francois [aut] , Dirk Eddelbuettel [aut, cre] , Murray Stokely [aut] , Jeroen Ooms [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RProtoBuf versions 0.4.23 dated 2025-01-14 and 0.4.24 dated 2025-03-31

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More information about RProtoBuf at CRAN
Permanent link

Package Rblpapi updated to version 0.3.16 with previous version 0.3.15 dated 2024-09-18

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong [aut], Dirk Eddelbuettel [aut, cre] , John Laing [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rblpapi versions 0.3.15 dated 2024-09-18 and 0.3.16 dated 2025-03-31

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Package MplusTrees updated to version 0.2.3 with previous version 0.2.2 dated 2022-10-11

Title: Decision Trees with Structural Equation Models Fit in 'Mplus'
Description: Uses recursive partitioning to create homogeneous subgroups based on structural equation models fit in 'Mplus', a stand-alone program developed by Muthen and Muthen.
Author: Sarfaraz Serang [aut, cre], Ross Jacobucci [aut], Kevin J. Grimm [ctb], Gabriela Stegmann [ctb], Andreas M. Brandmaier [ctb]
Maintainer: Sarfaraz Serang <sserang@mailbox.sc.edu>

Diff between MplusTrees versions 0.2.2 dated 2022-10-11 and 0.2.3 dated 2025-03-31

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Package LassoSIR updated to version 1.0 with previous version 0.1.1 dated 2017-12-06

Title: Sparsed Sliced Inverse Regression via Lasso
Description: Estimate the sufficient dimension reduction space using sparsed sliced inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu (2019) <doi:10.1080/01621459.2018.1520115>. The Lasso-SIR is consistent and achieve the optimal convergence rate under certain sparsity conditions for the multiple index models.
Author: Zhigen Zhao [aut, cre], Qian Lin [aut], Jun Liu [aut]
Maintainer: Zhigen Zhao <zhigen.zhao@gmail.com>

Diff between LassoSIR versions 0.1.1 dated 2017-12-06 and 1.0 dated 2025-03-31

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Package fdaMocca updated to version 0.1-2 with previous version 0.1-1 dated 2022-07-21

Title: Model-Based Clustering for Functional Data with Covariates
Description: Routines for model-based functional cluster analysis for functional data with optional covariates. The idea is to cluster functional subjects (often called functional objects) into homogenous groups by using spline smoothers (for functional data) together with scalar covariates. The spline coefficients and the covariates are modelled as a multivariate Gaussian mixture model, where the number of mixtures corresponds to the number of clusters. The parameters of the model are estimated by maximizing the observed mixture likelihood via an EM algorithm (Arnqvist and Sjöstedt de Luna, 2019) <doi:10.48550/arXiv.1904.10265>. The clustering method is used to analyze annual lake sediment from lake Kassjön (Northern Sweden) which cover more than 6400 years and can be seen as historical records of weather and climate.
Author: Natalya Pya [aut, cre], Per Arnqvist [aut], Sara Sjoestedt de Luna [aut]
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between fdaMocca versions 0.1-1 dated 2022-07-21 and 0.1-2 dated 2025-03-31

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 MD5         |    2 +-
 2 files changed, 15 insertions(+), 11 deletions(-)

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New package tsaux with initial version 1.0.0
Package: tsaux
Title: Time Series Forecasting Auxiliary Functions
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Description: A suite of auxiliary functions that enhance time series estimation and forecasting, including a robust anomaly detection routine based on Chen and Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the 'tsoutliers' package), utilities for managing calendar and time conversions, performance metrics to assess both point forecasts and distributional predictions, advanced simulation by allowing the generation of time series components—such as trend, seasonal, ARMA, irregular, and anomalies—in a modular fashion based on the innovations form of the state space model and a number of transformation methods including Box-Cox, Logit, 'Softplus-Logit' and Sigmoid.
Depends: R (>= 4.1.0), tsmethods
Imports: methods, zoo, xts, lubridate, car, Rdpack, scoringRules, stlplus, tsoutliers, forecast, data.table
License: GPL-2
Encoding: UTF-8
BugReports: https://github.com/tsmodels/tsaux/issues
URL: https://github.com/tsmodels/tsaux
Suggests: knitr, kableExtra, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-29 19:39:16 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-31 17:30:01 UTC

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New package subselect with initial version 0.16.0
Package: subselect
Version: 0.16.0
Date: 2025-03-29
Title: Selecting Variable Subsets
Author: Jorge Orestes Cerdeira [aut], Pedro Duarte Silva [aut, cre], Jorge Cadima [aut], Manuel Minhoto [aut]
Maintainer: Pedro Duarte Silva <psilva@ucp.pt>
Description: A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Depends: R (>= 3.5.0)
Imports: MASS, ISwR, corpcor
License: GPL (>= 2)
Repository: CRAN
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2025-03-29 11:54:00 UTC; antonio
Date/Publication: 2025-03-31 17:10:01 UTC

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New package MVOPR with initial version 2.0.0
Package: MVOPR
Title: Multi-View Orthogonal Projection Regression for Multi-Modality Integration
Version: 2.0.0
Description: Implements the 'MVOPR' (Multi-View Orthogonal Projection Regression) method for robust variable selection and integration of multi-modality data.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: ncvreg, rrpack
Suggests: testthat (>= 3.0.0)
URL: https://arxiv.org/abs/2503.16807
NeedsCompilation: no
Packaged: 2025-03-29 21:26:46 UTC; 10979
Author: Zongrui Dai [aut, cre] , Gen Li [aut]
Maintainer: Zongrui Dai <daizr@umich.edu>
Repository: CRAN
Date/Publication: 2025-03-31 17:30:10 UTC

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New package LikertEZ with initial version 0.1.0
Package: LikertEZ
Title: Easy Analysis and Visualization of Likert Scale Data
Version: 0.1.0
Description: Provides functions for summarizing, visualizing, and analyzing Likert-scale survey data. Includes support for computing descriptive statistics, Relative Importance Index (RII), reliability analysis (Cronbach's Alpha), and response distribution plots.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, stats, utils
NeedsCompilation: no
Packaged: 2025-03-29 18:14:56 UTC; ALIENWARE
Author: Mohammad Mollazehi [aut, cre]
Maintainer: Mohammad Mollazehi <mmolazehi@lu.edu.qa>
Repository: CRAN
Date/Publication: 2025-03-31 17:30:13 UTC

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Package FLASHMM updated to version 1.2.0 with previous version 1.1.0 dated 2025-03-11

Title: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
Description: A fast and scalable linear mixed-effects model (LMM) estimation algorithm for analysis of single-cell differential expression. The algorithm uses summary-level statistics and requires less computer memory to fit the LMM.
Author: Changjiang Xu [aut, cre], Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>

Diff between FLASHMM versions 1.1.0 dated 2025-03-11 and 1.2.0 dated 2025-03-31

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New package delimtools with initial version 0.2.0
Package: delimtools
Title: Helper Functions for Species Delimitation Analysis
Version: 0.2.0
Date: 2025-03-10
Description: Helpers functions to process, analyse, and visualize the output of single locus species delimitation methods. For full functionality, please install suggested software at <https://legallab.github.io/delimtools/articles/install.html>.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: cli, dplyr, glue, ggtree, methods, purrr, rlang, stringr, tidyr, tidyselect
Suggests: ape, bGMYC (>= 1.0.2), forcats, furrr, future, ggfun, ggplot2, gtools, knitr, patchwork, randomcoloR, readr, RColorBrewer, scales, splits (>= 1.0.20), spider, tibble, tidytree, vctrs, withr, rmarkdown
Additional_repositories: https://r-forge.r-project.org/, https://pedrosenna.github.io/drat/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-30 05:00:59 UTC; pedro
Maintainer: Pedro Bittencourt <pedro.sennabittencourt@gmail.com>
URL: https://github.com/legalLab/delimtools, https://legallab.github.io/delimtools/
BugReports: https://github.com/legalLab/delimtools/issues
VignetteBuilder: knitr
Author: Pedro Bittencourt [aut, cre, cph] , Rupert Collins [aut, ctb, cph] , Tomas Hrbek [aut, ctb]
Repository: CRAN
Date/Publication: 2025-03-31 18:00:02 UTC

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Package bmstdr updated to version 0.8.2 with previous version 0.7.9 dated 2023-12-18

Title: Bayesian Modeling of Spatio-Temporal Data with R
Description: Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) <doi:10.1201/9780429318443> describes the methods in detail.
Author: Sujit K. Sahu [aut, cre] , Duncan P. Lee [aut], K. Shuvo Bakar [aut]
Maintainer: Sujit K. Sahu <S.K.Sahu@soton.ac.uk>

Diff between bmstdr versions 0.7.9 dated 2023-12-18 and 0.8.2 dated 2025-03-31

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Package wikiTools updated to version 1.2.8 with previous version 1.2.7 dated 2024-07-27

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

Diff between wikiTools versions 1.2.7 dated 2024-07-27 and 1.2.8 dated 2025-03-31

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New package sixtyfour with initial version 0.2.0
Package: sixtyfour
Title: Humane Interface to Amazon Web Services
Version: 0.2.0
Description: An opinionated interface to Amazon Web Services <https://aws.amazon.com>, with functions for interacting with 'IAM' (Identity and Access Management), 'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift, and Billing. Lower level functions ('aws_' prefix) are for do it yourself workflows, while higher level functions ('six_' prefix) automate common tasks.
URL: https://github.com/getwilds/sixtyfour, https://getwilds.org/sixtyfour/
BugReports: https://github.com/getwilds/sixtyfour/issues
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, paws (>= 0.9.0), paws.common (>= 0.8.1), purrr, rlang, tibble, fs, s3fs (>= 0.1.5), cli, glue, memoise, uuid, jsonlite, curl, tidyr, clipr, withr, ipaddress
Suggests: knitr, rmarkdown, roxyglobals, DBI, RPostgres, RMariaDB, ggplot2, lubridate, testthat (>= 3.0.0), vcr (>= 0.6.0), webmockr
NeedsCompilation: no
Packaged: 2025-03-28 21:39:39 UTC; schambe3
Author: Sean Kross [aut], Scott Chamberlain [aut, cre] , Fred Hutchinson Cancer Center [fnd]
Maintainer: Scott Chamberlain <sachamber@fredhutch.org>
Repository: CRAN
Date/Publication: 2025-03-31 16:40:02 UTC

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Package BacenAPI updated to version 0.2.0 with previous version 0.1.1 dated 2025-03-17

Title: Data Collection from the Central Bank of Brazil
Description: Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis. The data is obtained from the Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.
Author: Paulo Icaro [aut], Lissandro Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Sousa <lisandrosousa54@gmail.com>

Diff between BacenAPI versions 0.1.1 dated 2025-03-17 and 0.2.0 dated 2025-03-31

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Package b64 updated to version 0.1.4 with previous version 0.1.3 dated 2024-09-26

Title: Fast and Vectorized Base 64 Engine
Description: Provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, 'BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.
Author: Josiah Parry [aut, cre] , Etienne Bacher [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between b64 versions 0.1.3 dated 2024-09-26 and 0.1.4 dated 2025-03-31

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Package adespatial updated to version 0.3-27 with previous version 0.3-26 dated 2025-03-21

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between adespatial versions 0.3-26 dated 2025-03-21 and 0.3-27 dated 2025-03-31

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Package samplr updated to version 1.1.0 with previous version 1.0.1 dated 2024-08-19

Title: Compare Human Performance to Sampling Algorithms
Description: Understand human performance from the perspective of sampling, both looking at how people generate samples and how people use the samples they have generated. A longer overview and other resources can be found at <https://sampling.warwick.ac.uk>.
Author: Lucas Castillo [aut, cre, cph] , Yun-Xiao Li [aut, cph] , Adam N Sanborn [aut, cph] , European Research Council [fnd]
Maintainer: Lucas Castillo <lucas.castillo-marti@warwick.ac.uk>

Diff between samplr versions 1.0.1 dated 2024-08-19 and 1.1.0 dated 2025-03-31

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Package PlotFTIR updated to version 1.2.0 with previous version 1.1.0 dated 2025-02-05

Title: Plot FTIR Spectra
Description: The goal of 'PlotFTIR' is to easily and quickly kick-start the production of journal-quality Fourier Transform Infra-Red (FTIR) spectral plots in R using 'ggplot2'. The produced plots can be published directly or further modified by 'ggplot2' functions. L'objectif de 'PlotFTIR' est de démarrer facilement et rapidement la production des tracés spectraux de spectroscopie infrarouge à transformée de Fourier (IRTF) de qualité journal dans R à l'aide de 'ggplot2'. Les tracés produits peuvent être publiés directement ou modifiés davantage par les fonctions 'ggplot2'.
Author: Philip Bulsink [aut, cre] , Ulrich Makanda [trl] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources [cph]
Maintainer: Philip Bulsink <philip.bulsink@nrcan-rncan.gc.ca>

Diff between PlotFTIR versions 1.1.0 dated 2025-02-05 and 1.2.0 dated 2025-03-31

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Package pikchr updated to version 1.0.1 with previous version 1.0 dated 2024-12-02

Title: R Wrapper for 'pikchr' (PIC) Diagram Language
Description: An 'R' interface to 'pikchr' (<https://pikchr.org>, pronounced “picture”), a 'PIC'-like markup language for creating diagrams within technical documentation. Originally developed by Brian Kernighan, 'PIC' has been adapted into 'pikchr' by D. Richard Hipp, the creator of 'SQLite'. 'pikchr' is designed to be embedded in fenced code blocks of Markdown or other documentation markup languages, making it ideal for generating diagrams in text-based formats. This package allows R users to seamlessly integrate the descriptive syntax of 'pikchr' for diagram creation directly within the 'R' environment.
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Richard Hipp [ctb], Brian Kernighan [ctb]
Maintainer: Andre Leite <leite@castlab.org>

Diff between pikchr versions 1.0 dated 2024-12-02 and 1.0.1 dated 2025-03-31

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Package tidygeocoder updated to version 1.0.6 with previous version 1.0.5 dated 2021-11-02

Title: Geocoding Made Easy
Description: An intuitive interface for getting data from geocoding services.
Author: Jesse Cambon [aut, cre] , Diego Hernangomez [aut] , Christopher Belanger [aut] , Daniel Possenriede [aut] , Otto Hansen [ctb]
Maintainer: Jesse Cambon <jesse.cambon@gmail.com>

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Package statgenGWAS updated to version 1.0.11 with previous version 1.0.10 dated 2024-11-15

Title: Genome Wide Association Studies
Description: Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), <doi:10.1038/ng.548>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Author: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zh [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package QuickJSR updated to version 1.7.0 with previous version 1.6.0 dated 2025-02-26

Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package lemna updated to version 1.0.2 with previous version 1.0.1 dated 2023-04-22

Title: Lemna Ecotox Effect Model
Description: The reference implementation of model equations and default parameters for the toxicokinetic-toxicodynamic (TKTD) model of the Lemna (duckweed) aquatic plant. Lemna is a standard test macrophyte used in ecotox effect studies. The model was described and published by the SETAC Europe Interest Group Effect Modeling. It is a refined description of the Lemna TKTD model published by Schmitt et al. (2013) <doi:10.1016/j.ecolmodel.2013.01.017>.
Author: Nils Kehrein [aut, cre], SETAC Europe IG Effect Modeling [ccp]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

Diff between lemna versions 1.0.1 dated 2023-04-22 and 1.0.2 dated 2025-03-31

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Package GGIRread updated to version 1.0.4 with previous version 1.0.3 dated 2025-03-07

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package gdm (with last version 1.6.0-6) was removed from CRAN

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

2025-01-31 1.6.0-6
2025-01-10 1.6.0-5
2024-12-02 1.6.0-4
2024-11-01 1.6.0-3
2024-09-27 1.6.0-2
2024-09-10 1.6.0-1
2022-12-01 1.5.0-9.1
2022-04-05 1.5.0-3
2021-11-18 1.5.0-1
2021-11-16 1.5.0
2021-03-17 1.4.2.2
2021-01-13 1.4.2.1
2020-04-22 1.4.2
2020-04-03 1.4.1
2020-02-05 1.4
2018-06-05 1.3.11
2018-06-04 1.3.10

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Package synlik updated to version 0.1.7 with previous version 0.1.6 dated 2023-03-02

Title: Synthetic Likelihood Methods for Intractable Likelihoods
Description: Framework to perform synthetic likelihood inference for models where the likelihood function is unavailable or intractable.
Author: Matteo Fasiolo [aut, cre], Simon Wood [aut]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package ClimMobTools updated to version 1.5 with previous version 1.4 dated 2025-01-16

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

Diff between ClimMobTools versions 1.4 dated 2025-01-16 and 1.5 dated 2025-03-31

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Package catlearn updated to version 1.1 with previous version 1.0 dated 2023-04-04

Title: Formal Psychological Models of Categorization and Learning
Description: Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.
Author: Andy Wills [aut, cre], Lenard Dome [aut], Charlotte Edmunds [aut], Garrett Honke [aut], Angus Inkster [aut], Rene Schlegelmilch [aut], Stuart Spicer [aut]
Maintainer: Andy Wills <andy@willslab.co.uk>

Diff between catlearn versions 1.0 dated 2023-04-04 and 1.1 dated 2025-03-31

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Package opencv updated to version 0.5.1 with previous version 0.5.0 dated 2025-03-06

Title: Bindings to 'OpenCV' Computer Vision Library
Description: Exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as a QR code scanner, and edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Author: Jeroen Ooms [aut, cre] , Jan Wijffels [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between opencv versions 0.5.0 dated 2025-03-06 and 0.5.1 dated 2025-03-31

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Package nlme updated to version 3.1-168 with previous version 3.1-167 dated 2025-01-27

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

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Package foreign updated to version 0.8-90 with previous version 0.8-89 dated 2025-03-25

Title: Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...
Description: Reading and writing data stored by some versions of 'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', and for reading and writing some 'dBase' files.
Author: R Core Team [aut, cph, cre] , Roger Bivand [ctb, cph], Vincent J. Carey [ctb, cph], Saikat DebRoy [ctb, cph], Stephen Eglen [ctb, cph], Rajarshi Guha [ctb, cph], Swetlana Herbrandt [ctb], Nicholas Lewin-Koh [ctb, cph], Mark Myatt [ctb, cph], Michael [...truncated...]
Maintainer: R Core Team <R-core@R-project.org>

Diff between foreign versions 0.8-89 dated 2025-03-25 and 0.8-90 dated 2025-03-31

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Package editbl updated to version 1.2.0 with previous version 1.1.0 dated 2025-01-31

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev], Saar Junius [ctb]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

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Package CytOpT (with last version 0.9.7) was removed from CRAN

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

2025-03-30 0.9.7

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New package serofoi with initial version 1.0.3
Package: serofoi
Title: Bayesian Estimation of the Force of Infection from Serological Data
Version: 1.0.3
Description: Estimating the force of infection from time varying, age varying, or constant serocatalytic models from population based seroprevalence studies using a Bayesian framework, including data simulation functions enabling the generation of serological surveys based on this models. This tool also provides a flexible prior specification syntax for the force of infection and the seroreversion rate, as well as methods to assess model convergence and comparison criteria along with useful visualisation functions.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/serofoi, https://epiverse-trace.github.io/serofoi/
BugReports: https://github.com/epiverse-trace/serofoi/issues
Depends: R (>= 4.1.0)
Imports: bayesplot, checkmate, config, cowplot, dplyr, ggplot2, glue, graphics, loo, expm, methods, purrr, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.3.1), stats, tibble, tidyr
Suggests: knitr, rlang, rmarkdown, scales, spelling, testthat (>= 3.0.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder: knitr
Biarch: true
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2025-03-27 14:51:29 UTC; torresn
Author: Zulma M. Cucunuba [aut, cre] , Nicolas T. Dominguez [aut] , Ben Lambert [aut], Pierre Nouvellet [aut], Geraldine Gomez [ctb] , Jaime A. Pavlich-Mariscal [ctb] , Hugo Gruson [ctb] , David Santiago Quevedo [ctb] , Miguel Gamez [ctb], Sumali Bajaj [ctb] [...truncated...]
Maintainer: Zulma M. Cucunuba <zulma.cucunuba@javeriana.edu.co>
Repository: CRAN
Date/Publication: 2025-03-31 10:00:02 UTC

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New package eyeris with initial version 1.0.0
Package: eyeris
Title: Flexible, Extensible, & Reproducible Processing of Pupil Data
Version: 1.0.0
Date: 2025-03-28
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states (see Clewett et al., 2020 <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie, 2018 <doi:10.3758/s13428-018-1075-y>; Strauch, 2024 <doi:10.1016/j.tins.2024.06.002>). Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles (see Wilkinson et al., 2016 <doi:10.1038/sdata.2016.18> for more information). 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., prepro [...truncated...]
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr, utils, stats, graphics, grDevices, tidyr, progress, data.table, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
URL: https://shawnschwartz.com/eyeris/, https://github.com/shawntz/eyeris/
BugReports: https://github.com/shawntz/eyeris/issues
NeedsCompilation: no
Packaged: 2025-03-28 15:50:53 UTC; sts
Author: Shawn Schwartz [aut, cre, cph]
Maintainer: Shawn Schwartz <stschwartz@stanford.edu>
Repository: CRAN
Date/Publication: 2025-03-31 10:00:06 UTC

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Package vcfppR updated to version 0.7.6 with previous version 0.7.1 dated 2024-12-26

Title: Rapid Manipulation of the Variant Call Format (VCF)
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 files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

Diff between vcfppR versions 0.7.1 dated 2024-12-26 and 0.7.6 dated 2025-03-31

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Package vvcanvas updated to version 0.0.5 with previous version 0.0.4 dated 2024-04-29

Title: 'Canvas' LMS API Integration
Description: Allow R users to interact with the 'Canvas' Learning Management System (LMS) API (see <https://canvas.instructure.com/doc/api/all_resources.html> for details). It provides a set of functions to access and manipulate course data, assignments, grades, users, and other resources available through the 'Canvas' API.
Author: Tomer Iwan [aut, cre], Niels Smits [ctb] , VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

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Package rankCorr updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-16

Title: Total, Between-, and Within-Cluster Spearman Rank Correlations for Clustered Data
Description: Estimates the total, between-, and within-cluster Spearman rank correlations for continuous and ordinal clustered data. See Tu et al. (2024) <DOI:10.1002/sim.10326> for details.
Author: Shengxin Tu [aut, cre], Chun Li [aut], Bryan Shepherd [aut]
Maintainer: Shengxin Tu <shengxin.tu@vanderbilt.edu>

Diff between rankCorr versions 1.0.1 dated 2023-11-16 and 1.0.2 dated 2025-03-31

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Package earthtones updated to version 0.2.0 with previous version 0.1.1 dated 2019-01-13

Title: Derive a Color Palette from a Particular Location on Earth
Description: Downloads a satellite image via ESRI and maptiles (these are originally from a variety of aerial photography sources), translates the image into a perceptually uniform color space, runs one of a few different clustering algorithms on the colors in the image searching for a user-supplied number of colors, and returns the resulting color palette.
Author: Will Cornwell [aut, cre] , Mitch Lyons [aut], Nick Murray [aut]
Maintainer: Will Cornwell <wcornwell@gmail.com>

Diff between earthtones versions 0.1.1 dated 2019-01-13 and 0.2.0 dated 2025-03-31

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Package hilldiv (with last version 1.5.1) was removed from CRAN

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

2019-10-01 1.5.1

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Package MiDA (with last version 0.1.2) was removed from CRAN

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

2019-04-18 0.1.2
2019-03-04 0.1.0

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Package TestGenerator (with last version 0.3.3) was removed from CRAN

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

2024-11-08 0.3.3
2024-05-28 0.3.1
2024-02-01 0.2.5

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Package EFS (with last version 1.0.3) was removed from CRAN

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

2017-07-24 1.0.3
2016-11-17 1.0.1
2016-08-02 1.0.0

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New package filibustr with initial version 0.3.0
Package: filibustr
Title: Data Utilities for Congressional Research
Version: 0.3.0
Description: Provides easy-to-understand and consistent interfaces for accessing data on the U.S. Congress. The functions in 'filibustr' streamline the process for importing data on Congress into R, removing the need to download and work from CSV files and the like. Data sources include 'Voteview' (<https://voteview.com/>), the U.S. Senate website (<https://www.senate.gov/>), and more.
License: MIT + file LICENSE
URL: https://github.com/feinleib/filibustr, https://feinleib.github.io/filibustr/
BugReports: https://github.com/feinleib/filibustr/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, haven, httr2, lifecycle, readr, rlang, rvest, stringr, tidyr, tools
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-30 17:06:13 UTC; mhfeinleib
Author: Max Feinleib [aut, cre, cph]
Maintainer: Max Feinleib <mhfeinleib@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-31 07:00:01 UTC

More information about filibustr at CRAN
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Package future.tests updated to version 0.8.0 with previous version 0.7.0 dated 2023-05-22

Title: Test Suite for 'Future API' Backends
Description: Backends implementing the 'Future' API <doi:10.32614/RJ-2021-048>, as defined by the 'future' package, should use the tests provided by this package to validate that they meet the minimal requirements of the 'Future' API. The tests can be performed easily from within R or from outside of R from the command line making it straightforward to include them in package tests and in Continuous Integration (CI) pipelines.
Author: Henrik Bengtsson [aut, cre, cph], The R Consortium [fnd] grant in 2017)
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.tests versions 0.7.0 dated 2023-05-22 and 0.8.0 dated 2025-03-31

 DESCRIPTION                                     |   14 ++---
 MD5                                             |   36 +++++++-------
 NAMESPACE                                       |    1 
 NEWS.md                                         |   21 +++++++-
 R/check.R                                       |    4 +
 R/run_test.R                                    |    3 -
 R/test_db.R                                     |    4 +
 build/vignette.rds                              |binary
 inst/WORDLIST                                   |    2 
 inst/doc/future.tests-01-intro.html             |   10 ++--
 inst/doc/future.tests-01-intro.md               |   15 +++---
 inst/doc/future.tests-05-ci-github_actions.html |   58 ++++++++++-------------
 inst/doc/future.tests-05-ci-github_actions.md   |   60 ++++++++++--------------
 inst/test-db/lazy.R                             |   10 ++++
 inst/test-db/resolve.R                          |    1 
 inst/test-db/resolved-lazy.R                    |   18 ++++---
 tests/test_plans.R                              |    3 -
 vignettes/future.tests-01-intro.md              |   15 +++---
 vignettes/future.tests-05-ci-github_actions.md  |   60 ++++++++++--------------
 19 files changed, 178 insertions(+), 157 deletions(-)

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New package brokenstick with initial version 2.6.0
Package: brokenstick
Title: Broken Stick Model for Irregular Longitudinal Data
Version: 2.6.0
Description: Data on multiple individuals through time are often sampled at times that differ between persons. Irregular observation times can severely complicate the statistical analysis of the data. The broken stick model approximates each subject’s trajectory by one or more connected line segments. The times at which segments connect (breakpoints) are identical for all subjects and under control of the user. A well-fitting broken stick model effectively transforms individual measurements made at irregular times into regular trajectories with common observation times. Specification of the model requires three variables: time, measurement and subject. The model is a special case of the linear mixed model, with time as a linear B-spline and subject as the grouping factor. The main assumptions are: subjects are exchangeable, trajectories between consecutive breakpoints are straight, random effects follow a multivariate normal distribution, and unobserved data are missing at random. The package conta [...truncated...]
Depends: R (>= 3.5.0)
Imports: coda, dplyr, lme4, matrixsampling, methods, rlang, splines, stats, tidyr
Suggests: AGD, bookdown, ggplot2, grDevices, gridExtra, knitr, lattice, MASS, Matrix, mice, mvtnorm, plyr, svglite, testthat, rmarkdown
URL: doi:10.18637/jss.v106.i07, https://growthcharts.org/brokenstick/
BugReports: https://github.com/growthcharts/brokenstick/issues
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-28 14:47:54 UTC; buurensv
Author: Stef van Buuren [aut, cre]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Repository: CRAN
Date/Publication: 2025-03-31 05:40:02 UTC

More information about brokenstick at CRAN
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Package MethEvolSIM (with last version 0.2) was removed from CRAN

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

2025-03-17 0.2
2024-09-22 0.1.7
2024-09-09 0.1.6
2024-08-16 0.1.5
2024-07-30 0.1.4
2024-07-20 0.1.3
2024-05-24 0.1.2
2024-04-30 0.1.1
2024-04-18 0.1

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