Wed, 19 Mar 2025

Package sparr updated to version 2.3-16 with previous version 2.3-15 dated 2024-07-07

Title: Spatial and Spatiotemporal Relative Risk
Description: Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <DOI:10.1002/sim.7577>.
Author: Tilman M. Davies [aut, cre], Jonathan C. Marshall [aut]
Maintainer: Tilman M. Davies <tilman.davies@otago.ac.nz>

Diff between sparr versions 2.3-15 dated 2024-07-07 and 2.3-16 dated 2025-03-19

 DESCRIPTION          |    8 ++++----
 MD5                  |    6 +++---
 R/tol.classify.R     |   19 ++++++++++++++++++-
 man/sparr-package.Rd |    4 ++--
 4 files changed, 27 insertions(+), 10 deletions(-)

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Package jskm updated to version 0.5.11 with previous version 0.5.10 dated 2025-02-05

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jskm versions 0.5.10 dated 2025-02-05 and 0.5.11 dated 2025-03-19

 DESCRIPTION        |    8 +-
 MD5                |   18 ++---
 NAMESPACE          |    2 
 NEWS.md            |    6 +
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 R/svyjskm.R        |  161 +++++++++++++++++++++++++++++++++++++++++++++++++----
 build/vignette.rds |binary
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 10 files changed, 349 insertions(+), 35 deletions(-)

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Package bayeslist updated to version 0.0.1.5 with previous version 0.0.1.4 dated 2024-11-28

Title: Bayesian Analysis of List Experiments with Prior Information
Description: Estimates Bayesian models of list experiments with informative priors. It includes functionalities to estimate different types of list experiment models with varying prior information. See Lu and Traunmüller (2021) <doi:10.2139/ssrn.3871089> for examples and details of estimation.
Author: Xiao Lu [aut, cre], Richard Traunmueller [aut]
Maintainer: Xiao Lu <xiao.lu.research@gmail.com>

Diff between bayeslist versions 0.0.1.4 dated 2024-11-28 and 0.0.1.5 dated 2025-03-19

 DESCRIPTION                                    |    6 +--
 MD5                                            |   42 ++++++++++++-------------
 inst/stan/model_misreport_aux.stan             |   14 ++++----
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 inst/stan/model_predict_infonorm_linear.stan   |   10 ++---
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 inst/stan/model_predict_noaux_linear.stan      |    6 +--
 22 files changed, 135 insertions(+), 135 deletions(-)

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Package ggbrain updated to version 0.9.0 with previous version 0.8.1 dated 2023-03-21

Title: Create Images of Volumetric Brain Data in NIfTI Format Using 'ggplot2' Syntax
Description: A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.
Author: Michael Hallquist [aut, cre]
Maintainer: Michael Hallquist <michael.hallquist@gmail.com>

Diff between ggbrain versions 0.8.1 dated 2023-03-21 and 0.9.0 dated 2025-03-19

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 ggbrain-0.9.0/ggbrain/DESCRIPTION                                                           |   10 
 ggbrain-0.9.0/ggbrain/MD5                                                                   |   98 
 ggbrain-0.9.0/ggbrain/NAMESPACE                                                             |   13 
 ggbrain-0.9.0/ggbrain/NEWS.md                                                               |   17 
 ggbrain-0.9.0/ggbrain/R/contrast_parser.R                                                   |   48 
 ggbrain-0.9.0/ggbrain/R/ggb.R                                                               |   98 
 ggbrain-0.9.0/ggbrain/R/ggbrain_images.R                                                    |   19 
 ggbrain-0.9.0/ggbrain/R/ggbrain_label.R                                                     |    6 
 ggbrain-0.9.0/ggbrain/R/ggbrain_layer.R                                                     |   82 
 ggbrain-0.9.0/ggbrain/R/ggbrain_layer_brain.R                                               |   19 
 ggbrain-0.9.0/ggbrain/R/ggbrain_layer_outline.R                                             |   20 
 ggbrain-0.9.0/ggbrain/R/ggbrain_panel.R                                                     |   19 
 ggbrain-0.9.0/ggbrain/R/ggbrain_plot.R                                                      |   56 
 ggbrain-0.9.0/ggbrain/R/ggbrain_slices.R                                                    |   89 
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 ggbrain-0.9.0/ggbrain/man/define.Rd                                                         |   12 
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 ggbrain-0.9.0/ggbrain/man/geom_outline.Rd                                                   |    6 
 ggbrain-0.9.0/ggbrain/man/ggb.Rd                                                            |    2 
 ggbrain-0.9.0/ggbrain/man/ggbrain_plot.Rd                                                   |    4 
 ggbrain-0.9.0/ggbrain/man/ggbrain_slices.Rd                                                 |   13 
 ggbrain-0.9.0/ggbrain/man/images.Rd                                                         |    2 
 ggbrain-0.9.0/ggbrain/man/montage.Rd                                                        |    2 
 ggbrain-0.9.0/ggbrain/man/plot.ggb.Rd                                                       |   12 
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 ggbrain-0.9.0/ggbrain/man/render.Rd                                                         |   35 
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 ggbrain-0.9.0/ggbrain/man/slices.Rd                                                         |    2 
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 59 files changed, 3499 insertions(+), 2047 deletions(-)

More information about ggbrain at CRAN
Permanent link

Package gdalcubes updated to version 0.7.1 with previous version 0.7.0 dated 2024-03-06

Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] , Edzer Pebesma [ctb] , Roger Bivand [ctb], Jeroen Ooms [ctb] , Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Florian Dang [cph], Paul Thompson [cph], Tomasz Kaminski [cph] [...truncated...]
Maintainer: Marius Appel <marius.appel@hs-bochum.de>

Diff between gdalcubes versions 0.7.0 dated 2024-03-06 and 0.7.1 dated 2025-03-19

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 gdalcubes-0.7.1/gdalcubes/LICENSE                                        |    2 
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 gdalcubes-0.7.1/gdalcubes/NEWS.md                                        |    5 
 gdalcubes-0.7.1/gdalcubes/R/config.R                                     |    2 
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Package Rtwobitlib updated to version 0.3.9 with previous version 0.3.8 dated 2025-03-18

Title: '2bit' 'C' Library
Description: A trimmed down copy of the "kent-core source tree" turned into a 'C' library for manipulation of '.2bit' files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the '2bit' format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the '.c' and '.h' files from the source tree that are related to manipulation of '.2bit' files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the '2bit' 'C' library in their own 'C'/'C++' code.
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>

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Package MSCquartets updated to version 3.2 with previous version 3.1 dated 2025-03-07

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>, the TINNIK algorithm for inference of the tree of blobs of an arbitrary network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>, and NANUQ+ routines for resolving multifurcations in the tree of blobs to cycles as in Allman et al.(2024) (forth [...truncated...]
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], Kristina Wicke [aut], John Rhodes [aut, cre]
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package kDGLM updated to version 1.2.7 with previous version 1.2.0 dated 2024-05-25

Title: Bayesian Analysis of Dynamic Generalized Linear Models
Description: Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.
Author: Silvaneo dos Santos Jr. [aut, cre], Mariane Branco Alves [aut], Helio dos Santos Migon [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior@utexas.edu>

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Package dtComb updated to version 1.0.5 with previous version 1.0.4 dated 2024-10-11

Title: Statistical Combination of Diagnostic Tests
Description: A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.
Author: Serra Ilayda Yerlitas [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]
Maintainer: Gokmen Zararsiz <gokmen.zararsiz@gmail.com>

Diff between dtComb versions 1.0.4 dated 2024-10-11 and 1.0.5 dated 2025-03-19

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New package cpmBigData with initial version 0.0.2
Package: cpmBigData
Title: Fitting Semiparametric Cumulative Probability Models for Big Data
Version: 0.0.2
Description: A big data version for fitting cumulative probability models using the orm() function from the 'rms' package. See Liu et al. (2017) <DOI:10.1002/sim.7433> for details.
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: rms (>= 7.0.0),Hmisc (>= 5.2.2),doParallel (>= 1.0.11),parallel (>= 3.5.2),foreach (>= 1.2.0),iterators (>= 1.0.0),benchmarkme (>= 1.0.4)
NeedsCompilation: no
Packaged: 2025-02-28 21:49:04 UTC; lic3
Author: Chun Li [cre, aut], Guo Chen [aut]
Maintainer: Chun Li <cli77199@usc.edu>
Repository: CRAN
Date/Publication: 2025-03-20 01:00:12 UTC

More information about cpmBigData at CRAN
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Package conleyreg updated to version 0.1.8 with previous version 0.1.7 dated 2022-03-03

Title: Estimations using Conley Standard Errors
Description: Functions calculating Conley (1999) <doi:10.1016/S0304-4076(98)00084-0> standard errors. The package started by merging and extending multiple packages and other published scripts on this econometric technique. It strongly emphasizes computational optimization. Details are available in the function documentation and in the vignette.
Author: Christian Dueben [aut, cre], Richard Bluhm [cph], Luis Calderon [cph], Darin Christensen [cph], Timothy Conley [cph], Thiemo Fetzer [cph], Leander Heldring [cph]
Maintainer: Christian Dueben <cdueben.ml+cran@proton.me>

Diff between conleyreg versions 0.1.7 dated 2022-03-03 and 0.1.8 dated 2025-03-19

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Package SerolyzeR updated to version 1.1.0 with previous version 1.0.0 dated 2025-03-07

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>

Diff between SerolyzeR versions 1.0.0 dated 2025-03-07 and 1.1.0 dated 2025-03-19

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Package MDPIexploreR updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-15

Title: Web Scraping and Bibliometric Analysis of MDPI Journals
Description: Provides comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, 'MDPIexploreR' offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.
Author: Pablo Gomez Barreiro [aut, cre]
Maintainer: Pablo Gomez Barreiro <pablogomezbr@hotmail.es>

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Package Bayenet updated to version 0.3 with previous version 0.2 dated 2024-04-05

Title: Robust Bayesian Elastic Net
Description: As heavy-tailed error distribution and outliers in the response variable widely exist, models which are robust to data contamination are highly demanded. Here, we develop a novel robust Bayesian variable selection method with elastic net penalty. In particular, the spike-and-slab priors have been incorporated to impose sparsity. An efficient Gibbs sampler has been developed to facilitate computation.The core modules of the package have been developed in 'C++' and R.
Author: Xi Lu [aut, cre], Cen Wu [aut]
Maintainer: Xi Lu <xilu@ksu.edu>

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Package visa updated to version 1.0.0 with previous version 0.1.0 dated 2021-04-20

Title: Vegetation Imaging Spectroscopy Analyzer
Description: Provides easy-to-use tools for data analysis and visualization for hyperspectral remote sensing (also known as imaging spectroscopy), with a particular focus on vegetation hyperspectral data analysis. It consists of a set of functions, ranging from the organization of hyperspectral data in the proper data structure for spectral feature selection, calculation of vegetation index, multivariate analysis, as well as to the visualization of spectra and results of analysis in the 'ggplot2' style.
Author: Kang Yu [aut, cre]
Maintainer: Kang Yu <kang.yu@outlook.com>

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Package miesmuschel updated to version 0.0.4-3 with previous version 0.0.4-2 dated 2024-07-09

Title: Mixed Integer Evolution Strategies
Description: Evolutionary black box optimization algorithms building on the 'bbotk' package. 'miesmuschel' offers both ready-to-use optimization algorithms, as well as their fundamental building blocks that can be used to manually construct specialized optimization loops. The Mixed Integer Evolution Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be implemented, as well as the multi-objective optimization algorithms NSGA-II by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.
Author: Martin Binder [aut, cre], Lennart Schneider [ctb] , Susanne Dandl [ctb] , Andreas Hofheinz [ctb]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package gofigR updated to version 0.3.1 with previous version 0.2.2 dated 2025-02-07

Title: Client for 'GoFigr.io'
Description: Integrates with your 'RMarkdown' documents to automatically publish figures to the <https://GoFigr.io> service. Supports both 'knitr' and interactive execution within 'RStudio'.
Author: Maciej Pacula [cre, aut], Flagstaff Solutions, LLC [cph]
Maintainer: Maciej Pacula <maciej@gofigr.io>

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Package BrazilMet updated to version 0.3.0 with previous version 0.2.0 dated 2022-10-27

Title: Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil
Description: A compilation of functions to download and processing AWS data of INMET-Brazil, with the purpose of reference evapotranspiration (ETo) estimation. The package aims to make meteorological and agricultural data analysis more parsimonious.
Author: Roberto Filgueiras [aut, cre] , Luan P. Venancio [aut] , Catariny C. Aleman [aut] , Fernando F. da Cunha [aut]
Maintainer: Roberto Filgueiras <betofilgueiras@gmail.com>

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Package ARUtools updated to version 0.7.2 with previous version 0.7.1 dated 2024-10-08

Title: Management and Processing of Autonomous Recording Unit (ARU) Data
Description: Parse Autonomous Recording Unit (ARU) data and for sub-sampling recordings. Extract Metadata from your recordings, select a subset of recordings for interpretation, and prepare files for processing on the 'WildTrax' <https://wildtrax.ca/> platform. Read and process metadata from recordings collected using the SongMeter and BAR-LT types of ARUs.
Author: David Hope [aut, cre] , Steffi LaZerte [aut] , Government of Canada [cph, fnd]
Maintainer: David Hope <david.hope@ec.gc.ca>

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Package rasterpic updated to version 0.3.0 with previous version 0.2.6 dated 2024-12-17

Title: Convert Digital Images into 'SpatRaster' Objects
Description: Generate 'SpatRaster' objects, as defined by the 'terra' package, from digital images, using a specified spatial object as a geographical reference.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package SSVS updated to version 2.1.0 with previous version 2.0.0 dated 2022-05-29

Title: Functions for Stochastic Search Variable Selection (SSVS)
Description: Functions for performing stochastic search variable selection (SSVS) for binary and continuous outcomes and visualizing the results. SSVS is a Bayesian variable selection method used to estimate the probability that individual predictors should be included in a regression model. Using MCMC estimation, the method samples thousands of regression models in order to characterize the model uncertainty regarding both the predictor set and the regression parameters. For details see Bainter, McCauley, Wager, and Losin (2020) Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain, Advances in Methods and Practices in Psychological Science 3(1), 66-80 <DOI:10.1177/2515245919885617>.
Author: Sierra Bainter [cre, aut] , Thomas McCauley [aut], Mahmoud Fahmy [aut], Dean Attali [aut]
Maintainer: Sierra Bainter <sbainter@miami.edu>

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Package rerddap updated to version 1.2.1 with previous version 1.2.0 dated 2024-12-11

Title: General Purpose Client for 'ERDDAP™' Servers
Description: General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package FMAT updated to version 2025.3 with previous version 2024.7 dated 2024-07-29

Title: The Fill-Mask Association Test
Description: The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

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Package mlr3learners updated to version 0.10.0 with previous version 0.9.0 dated 2024-11-23

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package MDMA updated to version 2.0.0 with previous version 1.1.0 dated 2024-04-25

Title: Mathijs Deen's Miscellaneous Auxiliaries
Description: Provides a variety of functions useful for data analysis, selection, manipulation, and graphics.
Author: Mathijs Deen [aut, cre]
Maintainer: Mathijs Deen <dev@mathijsdeen.com>

Diff between MDMA versions 1.1.0 dated 2024-04-25 and 2.0.0 dated 2025-03-19

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Package FeatureExtraction updated to version 3.8.0 with previous version 3.7.2 dated 2024-10-18

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

Diff between FeatureExtraction versions 3.7.2 dated 2024-10-18 and 3.8.0 dated 2025-03-19

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Package vvconverter updated to version 0.7.0 with previous version 0.5.10 dated 2024-06-11

Title: Apply Transformations to Data
Description: Provides a set of functions for data transformations. Transformations are performed on character and numeric data. As the scope of the package is within Student Analytics, there are functions focused around the academic year.
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

Diff between vvconverter versions 0.5.10 dated 2024-06-11 and 0.7.0 dated 2025-03-19

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Package RcppDPR updated to version 0.1.10 with previous version 0.1.9 dated 2025-03-15

Title: 'Rcpp' Implementation of Dirichlet Process Regression
Description: 'Rcpp' reimplementation of the the Bayesian non-parametric Dirichlet Process Regression model for penalized regression first published in Zeng and Zhou (2017) <doi:10.1038/s41467-017-00470-2>. A full Bayesian version is implemented with Gibbs sampling, as well as a faster but less accurate variational Bayes approximation.
Author: Mohammad Abu Gazala [cre, aut], Daniel Nachun [ctb], Ping Zeng [ctb]
Maintainer: Mohammad Abu Gazala <abugazalamohammad@gmail.com>

Diff between RcppDPR versions 0.1.9 dated 2025-03-15 and 0.1.10 dated 2025-03-19

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Package pedprobr updated to version 0.9.5 with previous version 0.9.4 dated 2024-05-08

Title: Probability Computations on Pedigrees
Description: An implementation of the Elston-Stewart algorithm for calculating pedigree likelihoods given genetic marker data (Elston and Stewart (1971) <doi:10.1159/000152448>). The standard algorithm is extended to allow inbred founders. 'pedprobr' is part of the 'pedsuite', a collection of packages for pedigree analysis in R. In particular, 'pedprobr' depends on 'pedtools' for pedigree manipulations and 'pedmut' for mutation modelling. For more information, see 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedprobr versions 0.9.4 dated 2024-05-08 and 0.9.5 dated 2025-03-19

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Package forceplate updated to version 1.1-4 with previous version 1.1-3 dated 2024-03-12

Title: Processing Force-Plate Data
Description: Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.
Author: Raphael Hartmann [aut, cre] , Anton Koger [aut, ctb] , Leif Johannsen [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between forceplate versions 1.1-3 dated 2024-03-12 and 1.1-4 dated 2025-03-19

 DESCRIPTION            |   14 ++--
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Package Certara.RsNLME.ModelExecutor updated to version 3.0.2 with previous version 3.0.1 dated 2025-01-07

Title: Execute Pharmacometric Models Using 'shiny'
Description: Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. Specify engine parameters and select from different run options, including simple estimation, stepwise covariate search, bootstrapping, simulation, visual predictive check, and more. Models are executed using the 'Certara.RsNLME' package.
Author: James Craig [aut, cre], Mike Talley [aut], Vitalii Nazarov [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

Diff between Certara.RsNLME.ModelExecutor versions 3.0.1 dated 2025-01-07 and 3.0.2 dated 2025-03-19

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Package wildlifeDI updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-22

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

Diff between wildlifeDI versions 1.0.0 dated 2024-03-22 and 1.0.1 dated 2025-03-19

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New package tndata with initial version 0.1.0
Package: tndata
Title: Fetch Datasets from the Official Tunisian Data Catalog
Version: 0.1.0
Description: Simplifies access to Tunisian government open data from <https://data.gov.tn/fr/>. Queries datasets by theme, author, or keywords, retrieves metadata, and gets structured results ready for analysis; all through the official 'CKAN' API.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: dplyr, fs, glue, httr, httr2, jsonlite, logger, lubridate, purrr, stringr
Depends: R (>= 4.1.0)
URL: https://github.com/aymennasri/tndata, http://aymennasri.me/tndata/
BugReports: https://github.com/aymennasri/tndata/issues
NeedsCompilation: no
Packaged: 2025-03-18 13:02:55 UTC; aymen
Author: Aymen Nasri [aut, cre, cph]
Maintainer: Aymen Nasri <aymennasrii@proton.me>
Repository: CRAN
Date/Publication: 2025-03-19 13:20:02 UTC

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New package kernopt with initial version 1.0.0
Package: kernopt
Title: Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel
Version: 1.0.0
Maintainer: Thomas Fillon <thomas.fillon@univ-ubs.fr>
Description: Implementation of Discrete Symmetric Optimal Kernel for estimating count data distributions, as described by T. Senga Kiessé and G. Durrieu (2024) <doi:10.1016/j.spl.2024.110078>.The nonparametric estimator using the discrete symmetric optimal kernel was illustrated on simulated data sets and a real-word data set included in the package, in comparison with two other discrete symmetric kernels.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
URL: https://thomasfillon.github.io/kernopt/, https://github.com/thomasfillon/kernopt
BugReports: https://github.com/thomasfillon/kernopt/issues
NeedsCompilation: no
Packaged: 2025-03-18 14:11:14 UTC; rstudio
Author: Tristan Senga Kiesse [aut] , Gilles Durrieu [aut] , Thomas Fillon [aut, cre] , INRAE, Institut Agro, CNRS - UMR SAS [cph], Universite de Bretagne Sud, CNRS - UMR 6205 LMBA [cph]
Repository: CRAN
Date/Publication: 2025-03-19 13:20:05 UTC

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New package globpso with initial version 1.3.0
Package: globpso
Title: Swarm Intelligence Optimization
Version: 1.3.0
Date: 2025-03-08
Author: Ping-Yang Chen [aut, cre], Russell Eberhart [ctb], Kennedy Kennedy [ctb], Jun Sun [ctb], Bin Feng [ctb], Wenbo Xu [ctb], Mohammad Reza Bonyadi [ctb], Zbigniew Michalewicz [ctb], Ran Cheng [ctb], Yaochu Jin [ctb], Milan Stehlik [ctb], Weng Kee Wong [c [...truncated...]
Maintainer: Ping-Yang Chen <pychen.ping@gmail.com>
Description: A fast and flexible general-purpose implementation of Particle Swarm Optimization (PSO) and Differential Evolution (DE) for solving global minimization problems is provided. It is designed to handle complex optimization tasks with nonlinear, non-differentiable, and multi-modal objective functions defined by users. There are five types of PSO variants: Particle Swarm Optimization (PSO, Eberhart & Kennedy, 1995) <doi:10.1109/MHS.1995.494215>, Quantum-behaved particle Swarm Optimization (QPSO, Sun et al., 2004) <doi:10.1109/CEC.2004.1330875>, Locally convergent rotationally invariant particle swarm optimization (LcRiPSO, Bonyadi & Michalewicz, 2014) <doi:10.1007/s11721-014-0095-1>, Competitive Swarm Optimizer (CSO, Cheng & Jin, 2015) <doi:10.1109/TCYB.2014.2322602> and Double exponential particle swarm optimization (DExPSO, Stehlik et al., 2024) <doi:10.1016/j.asoc.2024.111913>. For the DE algorithm, six types in Storn, R. & Price, K. (1997) & [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.12), RcppArmadillo (>= 0.12.6.6.1), methods, utils
LinkingTo: Rcpp, RcppArmadillo,
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-03-18 07:42:56 UTC; User
Repository: CRAN
Date/Publication: 2025-03-19 13:10:02 UTC

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New package CohortPathways with initial version 0.0.1
Package: CohortPathways
Title: Create Pathways from Target to Event Cohorts
Version: 0.0.1
Date: 2025-03-18
Maintainer: Gowtham Rao <rao@ohdsi.org>
Description: Software tool designed to compute the temporal relationship defined as pathways between any two instantiated cohorts. The cohorts are input as Target and event cohorts.
Depends: DatabaseConnector (>= 5.0.0), R (>= 4.1.0)
Imports: checkmate, dplyr, lifecycle, rlang, SqlRender, tidyr
Suggests: remotes, testthat, withr
License: Apache License
Encoding: UTF-8
Language: en-US
URL: https://github.com/OHDSI/CohortPathways
BugReports: https://github.com/OHDSI/CohortPathways/issues
NeedsCompilation: no
Packaged: 2025-03-18 15:18:14 UTC; gowth
Author: Gowtham Rao [aut, cre], Chris Knoll [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2025-03-19 13:30:02 UTC

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New package CANE with initial version 0.1.0
Package: CANE
Title: Comprehensive Groups of Experiments Analysis for Numerous Environments
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: In many cases, experiments must be repeated across multiple seasons or locations to ensure applicability of findings. A single experiment conducted in one location and season may yield limited conclusions, as results can vary under different environmental conditions. In agricultural research, treatment × location and treatment × season interactions play a crucial role. Analyzing a series of experiments across diverse conditions allows for more generalized and reliable recommendations. The 'CANE' package facilitates the pooled analysis of experiments conducted over multiple years, seasons, or locations. It is designed to assess treatment interactions with environmental factors (such as location and season) using various experimental designs. The package supports pooled analysis of variance (ANOVA) for the following designs: (1) 'PooledCRD()': completely randomized design; (2) 'PooledRBD()': randomized block design; (3) 'PooledLSD()': Latin square design; (4) 'PooledSPD()': split plot de [...truncated...]
Imports: agricolae, dplyr, emmeans, stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-03-18 14:47:42 UTC; DELL
Author: Vinayaka [aut, cre] , T. Lakshmi Pathy [aut, ctb] , K. Gopalareddy [aut, ctb] , Shweta Kumari [aut, ctb] , P. Murali [aut, ctb] , P. Govindaraj [aut, ctb], P. Rama Chandra Prasad [aut, ctb] , L.N. Vinaykumar [aut, ctb]
Repository: CRAN
Date/Publication: 2025-03-19 13:30:05 UTC

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New package Waypoint with initial version 1.1.0
Package: Waypoint
Title: Convert, Validate, Format and Print Geographic Coordinates and Waypoints
Version: 1.1.0
Date: 2025-03-17
Description: Convert, validate, format and elegantly print geographic coordinates and waypoints (paired latitude and longitude values) in decimal degrees, degrees and minutes, and degrees, minutes and seconds using high performance C++ code to enable rapid conversion and formatting of large coordinate and waypoint datasets.
License: MIT + file LICENSE
Imports: methods, Rcpp (>= 1.0.13)
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://mark-eis.github.io/Waypoint/
NeedsCompilation: yes
Packaged: 2025-03-17 22:54:08 UTC; runner
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark.eisler@bristol.ac.uk>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-03-19 13:00:01 UTC

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New package MultiNMix with initial version 0.1.0
Package: MultiNMix
Title: Multi-Species N-Mixture (MNM) Models with 'nimble'
Version: 0.1.0
Description: Simulating data and fitting multi-species N-mixture models using 'nimble'. Includes features for handling zero-inflation and temporal correlation, Bayesian inference, model diagnostics, parameter estimation, and predictive checks. Designed for ecological studies with zero-altered or time-series data. Mimnagh, N., Parnell, A., Prado, E., & Moral, R. A. (2022) <doi:10.1007/s10651-022-00542-7>. Royle, J. A. (2004) <doi:10.1111/j.0006-341X.2004.00142.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: clusterGeneration, mvtnorm, extraDistr, rstan, stats, abind, methods, coda
Depends: nimble, R (>= 3.5)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
URL: https://github.com/niamhmimnagh/MultiNMix
BugReports: https://github.com/niamhmimnagh/MultiNMix/issues
NeedsCompilation: no
Packaged: 2025-03-17 17:21:20 UTC; niamh
Author: Niamh Mimnagh [aut, cre], Rafael de Andrade Moral [aut]
Maintainer: Niamh Mimnagh <niamhmimnagh@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-19 12:50:02 UTC

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New package CohortSurvival with initial version 1.0.0
Package: CohortSurvival
Title: Estimate Survival from Common Data Model Cohorts
Version: 1.0.0
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: CDMConnector (>= 2.0.0), omopgenerics (>= 1.1.0), checkmate, cli, clock, DBI, dplyr, magrittr, broom, PatientProfiles (>= 1.3.1), rlang (>= 0.4.11), survival (>= 3.7.0), stringr, tibble, tidyr, purrr
Suggests: testthat (>= 3.0.0), CodelistGenerator, roxygen2, knitr, tictoc, rmarkdown, ggplot2, patchwork, cmprsk, duckdb, gt, flextable, scales, visOmopResults (>= 1.0.0)
VignetteBuilder: knitr
URL: https://darwin-eu-dev.github.io/CohortSurvival/
NeedsCompilation: no
Packaged: 2025-03-17 15:18:40 UTC; lopezk
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-19 12:50:06 UTC

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New package autodb with initial version 2.3.1
Package: autodb
Title: Automatic Database Normalisation for Data Frames
Version: 2.3.1
Description: Automatic normalisation of a data frame to third normal form, with the intention of easing the process of data cleaning. (Usage to design your actual database for you is not advised.) Originally inspired by the 'AutoNormalize' library for 'Python' by 'Alteryx' (<https://github.com/alteryx/autonormalize>), with various changes and improvements. Automatic discovery of functional or approximate dependencies, normalisation based on those, and plotting of the resulting "database" via 'Graphviz', with options to exclude some attributes at discovery time, or remove discovered dependencies at normalisation time.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: rlang
Suggests: spelling, DiagrammeR (>= 1.0.7), testthat (>= 3.1.4), R.utils (>= 2.11.0), hedgehog (>= 0.1), tibble(>= 3.2.1), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
URL: https://charnelmouse.github.io/autodb/, https://github.com/CharnelMouse/autodb
BugReports: https://github.com/CharnelMouse/autodb/issues
NeedsCompilation: no
Packaged: 2025-03-17 14:49:55 UTC; Mark
Author: Mark Webster [aut, cre]
Maintainer: Mark Webster <markwebster204@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2025-03-19 12:40:02 UTC

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Package ecb updated to version 0.4.3 with previous version 0.4.2 dated 2023-04-20

Title: Programmatic Access to the European Central Bank's Data Portal
Description: Provides an interface to the European Central Bank's Data Portal API, allowing for programmatic retrieval of a vast quantity of statistical data.
Author: Eric Persson [aut, cre], Franz X. Mohr [ctb]
Maintainer: Eric Persson <expersso5@gmail.com>

Diff between ecb versions 0.4.2 dated 2023-04-20 and 0.4.3 dated 2025-03-19

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More information about ecb at CRAN
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Package PLNmodels (with last version 1.2.1) was removed from CRAN

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

2025-03-10 1.2.1
2024-03-05 1.2.0
2024-01-08 1.1.0
2023-08-24 1.0.4
2023-07-01 1.0.3
2023-06-21 1.0.2
2023-02-12 1.0.1
2023-01-06 1.0.0
2022-08-25 0.11.7
2022-02-01 0.11.6
2022-01-20 0.11.5
2021-03-16 0.11.4
2020-06-22 0.10.6
2020-06-16 0.10.5
2020-01-27 0.9.5
2020-01-14 0.9.4
2019-12-05 0.9.3
2019-05-17 0.9.2

Permanent link
Package rtmpt updated to version 2.0-3 with previous version 2.0-2 dated 2025-01-23

Title: Fitting (Exponential/Diffusion) RT-MPT Models
Description: Fit (exponential or diffusion) response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) <doi:10.1016/j.jmp.2017.12.003> and Klauer, Hartmann, and Meyer-Grant (submitted). The RT-MPT class not only incorporate frequencies like traditional multinomial processing tree (MPT) models, but also latencies. This enables it to estimate process completion times and encoding plus motor execution times next to the process probabilities of traditional MPTs. 'rtmpt' is a hierarchical Bayesian framework and posterior samples are sampled using a Metropolis-within-Gibbs sampler (for exponential RT-MPTs) or Hamiltonian-within-Gibbs sampler (for diffusion RT-MPTs).
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Constantin G. Meyer-Grant [aut, ctb], Henrik Singmann [ctb, aut], Jean Marie Linhart [ctb], Frederick Novomestky [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between rtmpt versions 2.0-2 dated 2025-01-23 and 2.0-3 dated 2025-03-19

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Package SurfRough updated to version 0.0.1.1 with previous version 0.0.1.0 dated 2024-08-30

Title: Calculate Surface/Image Texture Indexes
Description: Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) <doi:10.1016/j.geomorph.2023.108838>). It provides various functions for the computation of surface texture indices (e.g., omnidirectional roughness and roughness anisotropy), including the ones based on the robust MAD estimator. The kernels included in the software permit also to calculate the surface/image texture indices directly from the input surface (i.e., without de-trending) using increments of order 2. It also provides the new radial roughness index (RRI), representing the improvement of the popular topographic roughness index (TRI). The framework can be easily extended with ad-hoc surface/image texture indices.
Author: Sebastiano Trevisani [aut, cre] , Ilich Alexander [ctb] , Zakharko Taras [ctb]
Maintainer: Sebastiano Trevisani <strevisani@iuav.it>

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Package scan updated to version 0.64.0 with previous version 0.63.0 dated 2025-03-01

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations. An export function helps to generate html, word, and latex tables in a publication friendly style. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [cre, aut] , Timo Lueke [aut]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-muenster.de>

Diff between scan versions 0.63.0 dated 2025-03-01 and 0.64.0 dated 2025-03-19

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Package piar updated to version 0.8.2 with previous version 0.8.1 dated 2024-09-12

Title: Price Index Aggregation
Description: Most price indexes are made with a two-step procedure, where period-over-period elemental indexes are first calculated for a collection of elemental aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

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Package msigdbr updated to version 10.0.1 with previous version 10.0.0 dated 2025-03-12

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

Diff between msigdbr versions 10.0.0 dated 2025-03-12 and 10.0.1 dated 2025-03-19

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Package libgeos updated to version 3.11.1-3 with previous version 3.11.1-2 dated 2023-11-29

Title: Open Source Geometry Engine ('GEOS') C API
Description: Provides the Open Source Geometry Engine ('GEOS') as a C API that can be used to write high-performance C and C++ geometry operations using R as an interface. Headers are provided to make linking to and using these functions from C++ code as easy and as safe as possible. This package contains an internal copy of the 'GEOS' library to guarantee the best possible consistency on multiple platforms.
Author: Dewey Dunnington [aut, cre] , GEOS authors [aut], Martin Davis [ctb, cph], Benjamin Campbell [ctb, cph], Tomasz Sowa [ctb, cph], Christian Kaiser [ctb, cph], David Skea [ctb, cph], Daniel Baston [ctb, cph], Sandro Santilli [ctb, cph], Mateusz Loskot [...truncated...]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between libgeos versions 3.11.1-2 dated 2023-11-29 and 3.11.1-3 dated 2025-03-19

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Package gemini.R updated to version 0.10.1 with previous version 0.9.2 dated 2025-03-12

Title: Interface for 'Google Gemini' API
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
Author: Jinhwan Kim [aut, cre, cph] , Maciej Nasinski [ctb]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>

Diff between gemini.R versions 0.9.2 dated 2025-03-12 and 0.10.1 dated 2025-03-19

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