Mon, 13 Apr 2026

Package TrialSimulator updated to version 1.16.0 with previous version 1.10.0 dated 2026-02-15

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

Diff between TrialSimulator versions 1.10.0 dated 2026-02-15 and 1.16.0 dated 2026-04-13

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Package toml updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-16

Title: Read, Write, and Modify TOML Files
Description: Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package Pursuit updated to version 1.1.0 with previous version 1.0.9 dated 2025-04-18

Title: Projection Pursuit
Description: Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package nflreadr updated to version 1.5.1 with previous version 1.5.0 dated 2025-09-02

Title: Download 'nflverse' Data
Description: A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Author: Tan Ho [aut, cre, cph] , Sebastian Carl [aut], John Edwards [ctb], Ben Baldwin [ctb], Thomas Mock [ctb], Lee Sharpe [ctb], Pranav Rajaram [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

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Package MVar.pt updated to version 2.2.8 with previous version 2.2.7 dated 2025-04-18

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 2.2.7 dated 2025-04-18 and 2.2.8 dated 2026-04-13

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Package MVar updated to version 2.2.8 with previous version 2.2.7 dated 2025-04-18

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package multinma updated to version 0.9.0 with previous version 0.8.1 dated 2025-05-30

Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
Author: David M. Phillippo [aut, cre] , Samuel J. Perren [ctb] , Niels Dunnewind [ctb]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>

Diff between multinma versions 0.8.1 dated 2025-05-30 and 0.9.0 dated 2026-04-13

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Package MFAg updated to version 2.3 with previous version 2.2 dated 2025-04-18

Title: Multiple Factor Analysis (MFA)
Description: Performs Multiple Factor Analysis method for quantitative, categorical, frequency and mixed data, in addition to generating a lot of graphics, also has other useful functions.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package Kira updated to version 1.0.8 with previous version 1.0.7 dated 2025-04-18

Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package duckdb updated to version 1.5.2 with previous version 1.5.1 dated 2026-03-26

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package connectapi updated to version 0.12.0 with previous version 0.11.1 dated 2026-03-21

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

Diff between connectapi versions 0.11.1 dated 2026-03-21 and 0.12.0 dated 2026-04-13

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Package Blendstat updated to version 1.0.6 with previous version 1.0.5 dated 2024-06-21

Title: Joint Analysis of Experiments with Mixtures and Random Effects
Description: Performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between Blendstat versions 1.0.5 dated 2024-06-21 and 1.0.6 dated 2026-04-13

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Package auth0 updated to version 0.3.0 with previous version 0.2.3 dated 2023-03-26

Title: Authentication in Shiny with Auth0
Description: Uses Auth0 API (see <https://auth0.com> for more information) to use a simple authentication system. It provides tools to log in and out a shiny application using social networks or a list of e-mails.
Author: Julio Trecenti [cre], Daniel Falbel [aut], Jose Jesus [ctb], Dean Attali [ctb], William Amorim [ctb], C Lente [ctb]
Maintainer: Julio Trecenti <julio.trecenti@gmail.com>

Diff between auth0 versions 0.2.3 dated 2023-03-26 and 0.3.0 dated 2026-04-13

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Package AIscreenR updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-13

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

Diff between AIscreenR versions 0.3.0 dated 2026-04-13 and 0.3.1 dated 2026-04-13

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Package mcca updated to version 0.8.2 with previous version 0.8.1 dated 2026-02-17

Title: Multi-Category Classification Accuracy
Description: It contains six common multi-category classification accuracy evaluation measures. All of these measures could be found in Li and Ming (2019) <doi:10.1002/sim.8103>. Specifically, Hypervolume Under Manifold (HUM), described in Li and Fine (2008) <doi:10.1093/biostatistics/kxm050>. Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) <doi:10.1093/biostatistics/kxs047>. Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) <doi:10.1007/s10654-012-9733-3>. Li et al. (2018) <doi:10.1177/0962280217692830>. PDI with variance estimation using Dover et al. (2021) <doi:10.1002/sim.9187>. We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.
Author: Ming Gao [aut], Jialiang Li [aut, cre], Pan Liu [aut], Ben Van Calster [aut]
Maintainer: Jialiang Li <stalj@nus.edu.sg>

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Package depCensoring updated to version 0.1.10 with previous version 0.1.8 dated 2025-11-06

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Willems et al. (2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025) <doi:10.1007/s10985-025-09647-0>.
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Jie Ding [aut] , Claudia Czado [aut] , Myrthe D'Haen [aut] , Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

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Package uteals updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-17

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

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Package lgspline updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-15

Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, quadratic programming constraints, and customizable working-correlation structures, with options for parallel fitting. The core spline construction builds on Ezhov et al. (2018) <doi:10.1515/jag-2017-0029>. Quadratic-programming and SQP details follow Goldfarb & Idnani (1983) <doi:10.1007/BF02591962> and Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For smoothing spline and penalized spline background, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2017) <doi:10.1201/9781315370279>. For variance-component and correlation-parameter estimation, see Searle et al. (2006) <ISBN:978-0470009598>. The default multivaria [...truncated...]
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>

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Package autoMR updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-04

Title: Automated Mendelian Randomization Workflows and Visualizations
Description: Provides tools to summarize, analyze, and visualize results from Mendelian randomization studies using summarized genetic association data. The package includes functions for generating forest plots and scatter plots at the single-nucleotide polymorphism and Mendelian randomization method levels, and for fitting multiple estimators in a unified workflow, including inverse-variance weighted estimation, Mendelian randomization Egger regression, the weighted median estimator, the robust adjusted profile score, Mendelian randomization pleiotropy residual sum and outlier, Mendelian randomization with the genotype recoding invariance property, and a Bayesian horseshoe method. Related methods are described by Burgess (2013) <doi:10.1002/gepi.21758>, Bowden (2015) <doi:10.1093/ije/dyv080>, Bowden (2016) <doi:10.1002/gepi.21965>, Zhao (2020) <doi:10.1214/19-AOS1866>, Verbanck (2018) <doi:10.1038/s41588-018-0099-7>, Dudbridge (2025) <doi:10.1371/journal.pgen.1011 [...truncated...]
Author: Kelin Zhong [aut, cre], Chia-Ling Kuo [aut]
Maintainer: Kelin Zhong <kelinzhonguconn@gmail.com>

Diff between autoMR versions 1.0.0 dated 2026-04-04 and 1.1.0 dated 2026-04-13

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Package EGAnet updated to version 2.4.1 with previous version 2.4.0 dated 2025-12-06

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb] , John Fox [cph, ctb] , Yves Rosseel [cph, ctb] , Alexander Robitzsch [cph, ctb] , David Blackman [ctb] , [...truncated...]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

Diff between EGAnet versions 2.4.0 dated 2025-12-06 and 2.4.1 dated 2026-04-13

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Package string2path updated to version 0.3.0 with previous version 0.2.2 dated 2025-03-25

Title: Rendering Font into 'data.frame'
Description: Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.
Author: Hiroaki Yutani [aut, cre] , The authors of the dependency Rust crates [ctb]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between string2path versions 0.2.2 dated 2025-03-25 and 0.3.0 dated 2026-04-13

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Package ItemRest updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-09

Title: Automated Item Removal Strategies for Exploratory Factor Analysis
Description: Automates the identification and comparative evaluation of item-removal strategies in exploratory factor analysis, producing transparent summaries (explained variance, loading ranges, reliability) to support comfortable, reproducible decisions. The criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff).
Author: Ahmet Caliskan [aut, cre], Abdullah Faruk Kilic [aut]
Maintainer: Ahmet Caliskan <ahmetcaliskan1987@gmail.com>

Diff between ItemRest versions 0.2.3 dated 2025-10-09 and 0.2.4 dated 2026-04-13

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New package isoniche with initial version 0.1.0
Package: isoniche
Title: Calculating Density-Independent Niche Breadth Indices from Abundance Data
Version: 0.1.0
Description: Deriving isodar-based niche breadth indices from abundance data of two or more habitats, including several methods based on pairwise isodars, multidimensional isodars, and isodar-adjusted inequality.
License: GPL-3
Encoding: UTF-8
Imports: tibble, dplyr, lmodel2
NeedsCompilation: no
Packaged: 2026-04-08 11:42:42 UTC; shadu
Author: Shahar Dubiner [aut, cre] , Itai Granot [aut], Jonathan Belmaker [aut]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>
Repository: CRAN
Date/Publication: 2026-04-13 15:10:02 UTC

More information about isoniche at CRAN
Permanent link

Package causalDisco updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-24

Title: Tools for Causal Discovery on Observational Data
Description: Tools for causal structure learning from observational data, with emphasis on temporally ordered variables. The package implements the Temporal Peter–Clark (TPC) algorithm (Petersen, Osler & Ekstrøm, 2021; <doi:10.1093/aje/kwab087>), the Temporal Greedy Equivalence Search (TGES) algorithm (Larsen, Ekstrøm & Petersen, 2025; <doi:10.48550/arXiv.2502.06232>) and Temporal Fast Causal Inference (TFCI). It provides a unified framework for specifying background knowledge, which can be incorporated into the implemented algorithms from the R packages 'bnlearn' (Scutari, 2010; <doi:10.18637/jss.v035.i03>) and 'pcalg' (Kalish et al., 2012; <doi:10.18637/jss.v047.i11>), as well as the Java library 'Tetrad' (Scheines et al., 1998; <doi:10.1207/s15327906mbr3301_3>). The package further includes utilities for visualization, comparison, and evaluation of graph structures, facilitating performance evaluation and methodological studies.
Author: Bjarke Hautop Kristensen [aut, cre], Frederik Fabricius-Bjerre [aut], Anne Helby Petersen [aut], Claus Thorn Ekstroem [aut], Tobias Ellegaard Larsen [ctb]
Maintainer: Bjarke Hautop Kristensen <bjarke.kristensen@sund.ku.dk>

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 causalDisco-1.1.0/causalDisco/inst/roxygen-examples/v_orient_temporal-example.R                    |   60 
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 342 files changed, 41363 insertions(+), 42259 deletions(-)

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New package toponym with initial version 2.0.1
Package: toponym
Title: Analyze and Visualize Toponyms
Version: 2.0.1
Description: A tool to analyze and visualize toponym distributions. This package is intended as an interface to the GeoNames data. A regular expression filters data and in a second step a map is created displaying all locations in the filtered data set. The functions make data and plots available for further analysis—either within R or in a chosen directory. Users can select regions within countries, provide coordinates to define regions, or specify a region within the package to restrict the data selection to that region or compare regions with the remainder of countries. This package relies on the R packages 'geodata' for map data and 'ggplot2' for plotting purposes. For more information on the study of toponyms, see Wichmann & Chevallier (2025) <doi:10.5195/names.2025.2616>.
Depends: R (>= 4.1)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: geodata, ggplot2, grDevices, sf, spatstat.geom, spatstat.utils, stats, terra, utils
URL: https://github.com/Lennart05/toponym
BugReports: https://github.com/Lennart05/toponym/issues
NeedsCompilation: no
Packaged: 2026-04-07 21:53:33 UTC; Chavallier
Author: Lennart Chevallier [aut, cre] , Soeren Wichmann [aut]
Maintainer: Lennart Chevallier <mail@lchevallier.de>
Repository: CRAN
Date/Publication: 2026-04-13 14:40:02 UTC

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New package tidyfun with initial version 0.1.1
Package: tidyfun
Title: Tidy Functional Data Wrangling and Visualization
Version: 0.1.1
Description: Represent, visualize, describe and wrangle functional data in tidy data frames, building on the 'tf' package. Provides data types for functional observations that work as columns in data frames, enabling manipulation with 'dplyr' verbs and visualization with 'ggplot2' geoms designed for functional data.
License: MIT + file LICENSE
URL: https://github.com/tidyfun/tidyfun, https://tidyfun.github.io/tidyfun/
BugReports: https://github.com/tidyfun/tidyfun/issues
Depends: R (>= 4.1), tf (>= 0.4.0)
Imports: cli, dplyr, GGally, ggplot2, grid, pillar, purrr, rlang, tibble, tidyr (>= 1.0.0), tidyselect (>= 1.0.0)
Suggests: covr, fda, fdasrvf, gridExtra, janitor, knitr, lme4, maps, mgcv, refund, rmarkdown, scales, testthat (>= 3.0.0), tidyverse, viridisLite
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 15:34:54 UTC; fabians
Author: Fabian Scheipl [aut, cre, cph] , Jeff Goldsmith [aut], Julia Wrobel [aut] , Maximilian Muecke [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:02 UTC

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New package serieshaz with initial version 0.1.1
Package: serieshaz
Title: Series System Distributions from Dynamic Failure Rate Components
Version: 0.1.1
Description: Compose multiple dynamic failure rate distributions into series system distributions where the system hazard equals the sum of component hazards. Supports hazard, survival, cumulative distribution function, density, sampling, and maximum likelihood estimation fitting via the dfr_dist() class from 'flexhaz'. Methods for series system reliability follow Barlow and Proschan (1975, ISBN:0898713692).
License: GPL (>= 3)
URL: https://github.com/queelius/serieshaz, https://queelius.github.io/serieshaz/
BugReports: https://github.com/queelius/serieshaz/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: flexhaz, algebraic.dist, likelihood.model, generics, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 16:54:01 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:10 UTC

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New package qDEA with initial version 1.0.0
Package: qDEA
Title: Quantile Data Envelopment Analysis
Version: 1.0.0
Depends: R (>= 4.2)
Imports: dplyr, doBy, highs, Matrix, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: R implementation of Quantile Data Envelopment Analysis. The package 'qDEA' allows a user specified proportion of observations to lie external to a given Decision Making Units's (DMU's)reference hyperplane. 'qDEA' can be used to detect and address influential outliers or to implement quantile benchmarking, as discussed in Atwood and Shaik (2020). Quantile benchmarking is accomplished by using heuristic procedures to find a DMU's closest input-output projection point in a specified direction while allowing a specified proportion of observations to lie external to the projected point's hyperplane. The 'qDEA' package accommodates standard (DEA) and quantile DEA estimation, returns to scale CRS(constant),VRS(variable),DRS(decreasing) or IRS(increasing), the use of directional vectors, bias correction through subsample bootstrapping and subsample size selection procedures. The user can also recover each DMU's reference DMUs and external DMUs if desired. The implemented procedures are based o [...truncated...]
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 21:56:40 UTC; h22v519
Author: Joe Atwood [aut, cre], John Walden [aut]
Maintainer: Joe Atwood <jatwood@montana.edu>
Repository: CRAN
Date/Publication: 2026-04-13 14:40:07 UTC

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Package mixedBayes updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-16

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Shejuty Devnath [aut], Cen Wu [aut]
Maintainer: Kun Fan <fzt0428@gmail.com>

Diff between mixedBayes versions 0.2.3 dated 2026-03-16 and 0.2.4 dated 2026-04-13

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New package missPLS with initial version 0.2.0
Package: missPLS
Title: Methods and Reproducible Workflows for Partial Least Squares with Missing Data
Version: 0.2.0
Date: 2026-04-07
Depends: R (>= 4.1.0)
Imports: mice, plsRglm, stats, utils, VIM
Suggests: bcv, knitr, mlbench, plsdof, rmarkdown, testthat (>= 3.0.0)
Author: Titin Agustin Nengsih [aut], Frederic Bertrand [aut, cre], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Methods-first tooling for reproducing and extending the partial least squares regression studies on incomplete data described in Nengsih et al. (2019) <doi:10.1515/sagmb-2018-0059>. The package provides simulation helpers, missingness generators, imputation wrappers, component-selection utilities, real-data diagnostics, and reproducible study orchestration for Nonlinear Iterative Partial Least Squares (NIPALS)-Partial Least Squares (PLS) workflows.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://fbertran.github.io/missPLS/, https://github.com/fbertran/missPLS
BugReports: https://github.com/fbertran/missPLS/issues
NeedsCompilation: no
Packaged: 2026-04-08 09:17:07 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-13 15:00:02 UTC

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Package MapperAlgo updated to version 1.1.0 with previous version 1.0.9 dated 2026-02-02

Title: Topological Data Analysis: Mapper Algorithm
Description: The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Author: ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb]
Maintainer: ChiChien Wang <kennywang2003@gmail.com>

Diff between MapperAlgo versions 1.0.9 dated 2026-02-02 and 1.1.0 dated 2026-04-13

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New package ILORA with initial version 0.1.0
Package: ILORA
Title: 'ILORA': Indian Alien Flora Information Database Retrieval
Version: 0.1.0
Description: Provides tools to access, query, and visualize species occurrence data from the 'ILORA' package. The package enables users to retrieve species names, explore available variables, and extract species-level data based on user-defined criteria. It also supports exploratory data analysis and visualization to facilitate ecological and bio-geographical research. Further details about the database are available at <https://ilora2020.wixsite.com/ilora2020>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: DBI, RColorBrewer, units, RPostgres, dplyr, ggplot2, plotly, glue, rnaturalearth, rnaturalearthdata, sf, viridis, tidyr
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 13:03:38 UTC; fossee
Author: Ruqaiya Shaikh [aut, cre], Achyut Kumar Banerjee [aut], Abhishek Mukherjee [aut], Amiya Ranjan Bhowmick [aut]
Maintainer: Ruqaiya Shaikh <ruqaiyashaikh41@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:10:02 UTC

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Package EEMDlstm readmission to version 1.0.1 with previous version 0.1.0 dated 2022-09-26

Title: EEMD Based LSTM Model for Time Series Forecasting
Description: Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>.
Author: Kapil Choudhary [aut], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb, cre], Rajeev Ranjan Kumar [ctb]
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2022-09-26

Diff between EEMDlstm versions 0.1.0 dated 2022-09-26 and 1.0.1 dated 2026-04-13

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New package diagFDR with initial version 0.1.0
Package: diagFDR
Title: Verifiable FDR Diagnostics for Proteomics
Version: 0.1.0
Description: Provides methods to compute verifiable false discovery rate (FDR) diagnostic checks for workflows based on target-decoy competition and related confidence measures. Implements calibration, stability and tail diagnostics, including tail support, threshold elasticity, posterior error probability (PEP) reliability, and equal-chance checks.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: dplyr, tibble, ggplot2, purrr, rlang, readr, xml2, cp4p, tidyr, scales, data.table
Suggests: arrow, knitr, officer, rvg, testthat (>= 3.0.0), withr, rmarkdown, jsonlite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 13:19:05 UTC; qgiaigia
Author: Quentin Giai Gianetto [aut, cre]
Maintainer: Quentin Giai Gianetto <quentin.giaigianetto@pasteur.fr>
Repository: CRAN
Date/Publication: 2026-04-13 14:20:16 UTC

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New package comtrade with initial version 0.1.0
Package: comtrade
Title: Access and Analyse UN Comtrade International Trade Data
Version: 0.1.0
Description: Download and analyse international merchandise and services trade data from the United Nations Comtrade database <https://comtradeplus.un.org/>. Retrieve bilateral trade flows, compute trade analytics (revealed comparative advantage, trade concentration, trade balance), and convert between commodity classifications (HS, SITC, BEC). Covers 200+ reporter countries, 60+ years of goods trade data (1962-present), and services trade via EBOPS. Works without registration for basic queries. A free API key from <https://comtradedeveloper.un.org/> unlocks full access.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/comtrade
BugReports: https://github.com/charlescoverdale/comtrade/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), stats, tools, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-07 20:47:28 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 14:30:02 UTC

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New package baseverse with initial version 0.1.0
Package: baseverse
Title: Modern Base-R Functions
Version: 0.1.0
Description: Includes modern base-R functions. Functions beginning with p_ are wrapper functions to existing base-R functions, supporting native piping. base_match() and base_when() mimic case_match() and case_when() from 'dplyr' but return a factor by default with levels ordered according to user input. et() mimics count() from 'dplyr'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-07 20:14:45 UTC; yea-hung
Author: Yea-Hung Chen [aut, cre]
Maintainer: Yea-Hung Chen <yea-hung.chen@ucsf.edu>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-04-13 14:30:08 UTC

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Package hoardeR (with last version 0.10) was removed from CRAN

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

2024-04-08 0.10
2019-02-12 0.9.4-2
2019-02-07 0.9.4
2016-10-31 0.9.2
2016-10-10 0.9.1
2016-09-01 0.9
2015-06-30 0.1
2014-06-06 0.0-2
2014-02-20 0.0-1

Permanent link
Package GseaVis (with last version 0.0.5) was removed from CRAN

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

2022-12-20 0.0.5

Permanent link
Package blastar (with last version 0.1.1) was removed from CRAN

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

2026-01-14 0.1.1

Permanent link
Package CSeQTL (with last version 1.0.0) was removed from CRAN

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

2025-03-06 1.0.0

Permanent link
Package DDPNA (with last version 0.4.1) was removed from CRAN

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

2025-07-29 0.4.1
2024-03-13 0.3.3
2022-05-17 0.3.1
2021-07-29 0.3.0
2021-04-28 0.2.7
2020-07-05 0.2.6

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Package shinyGovstyle updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-08

Title: Custom Gov Style Inputs for Shiny
Description: Collection of 'shiny' application styling that are based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Author: Ross Wyatt [aut], Cam Race [aut, cre], Sarah Wong [aut], Richard Bielby [ctb], Charlotte Foster [ctb], Jeni Martin [ctb], Andrew Baker [ctb]
Maintainer: Cam Race <camrace8@gmail.com>

Diff between shinyGovstyle versions 0.1.1 dated 2026-01-08 and 0.2.0 dated 2026-04-13

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Package multiScaleR updated to version 0.6.6 with previous version 0.5.0 dated 2026-03-26

Title: Methods for Optimizing Scales of Effect
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2026) <doi:10.1007/s10980-025-02267-x>.
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>

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Package BayesPower updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-16

Title: Sample Size and Power Calculation for Bayesian Testing with Bayes Factor
Description: The goal of 'BayesPower' is to provide tools for Bayesian sample size determination and power analysis across a range of common hypothesis testing scenarios using Bayes factors. The main function, BayesPower_BayesFactor(), launches an interactive 'shiny' application for performing these analyses. The application also provides command-line code for reproducibility. Details of the methods are described in the tutorial by Wong, Pawel, and Tendeiro (2025) <doi:10.31234/osf.io/pgdac_v3>.
Author: Tsz Keung Wong [aut, cre], Samuel Pawel [aut], Jorge Tendeiro [aut]
Maintainer: Tsz Keung Wong <t.k.wong3004@gmail.com>

Diff between BayesPower versions 1.0.3 dated 2026-03-16 and 1.0.4 dated 2026-04-13

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New package SelectBoost.quantile with initial version 0.3.1
Package: SelectBoost.quantile
Title: 'SelectBoost'-Style Variable Selection for Quantile Regression
Date: 2026-04-07
Version: 0.3.1
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: A 'SelectBoost'-inspired workflow for sparse quantile regression. The package builds correlation neighborhoods, perturbs correlated predictors with a directional sampler inspired by the original 'SelectBoost' internals, refits penalized quantile regression models on the perturbed designs, and aggregates variable-selection frequencies across a path of correlation thresholds.
License: GPL-3
Encoding: UTF-8
Imports: graphics, movMF, quantreg, stats, utils, withr
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0)
URL: https://fbertran.github.io/SelectBoost.quantile/, https://github.com/fbertran/SelectBoost.quantile
BugReports: https://github.com/fbertran/SelectBoost.quantile/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 10:36:30 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-13 11:40:08 UTC

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Package RMVL updated to version 1.1.0.3 with previous version 1.1.0.2 dated 2025-09-23

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

Diff between RMVL versions 1.1.0.2 dated 2025-09-23 and 1.1.0.3 dated 2026-04-13

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New package prefviz with initial version 0.1.1
Package: prefviz
Title: Visualizes Preference Data via Ternary Plots in Two and Higher Dimensions
Version: 0.1.1
Description: Visualises preference and ranking data by extending traditional ternary plots to support high-dimensional simplexes. The package provides methods to transform compositional data into coordinates suitable for 2D and high-dimensional ternary plots (see Cook & Laa (2024) <https://dicook.github.io/mulgar_book/>). Compatibility with interactive visualization packages such as 'plotly' or 'detourr' allows users to explore high-dimensional preference structures dynamically.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, prefio, tibble, tidyr, rlang, ggplot2, tidyselect, geozoo
Suggests: knitr, rmarkdown, tourr, kableExtra, ggthemes, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://numbats.github.io/prefviz/
BugReports: https://github.com/numbats/prefviz/issues
NeedsCompilation: no
Packaged: 2026-04-07 12:57:15 UTC; ADMIN
Author: Linh Ngo [aut, cre], Dianne Cook [aut] , Damjan Vukcevic [aut]
Maintainer: Linh Ngo <linhngo66.work@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 11:50:02 UTC

More information about prefviz at CRAN
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Package OHPL updated to version 1.4.2 with previous version 1.4.1 dated 2024-07-20

Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Description: Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.
Author: You-Wu Lin [aut], Nan Xiao [aut, cre]
Maintainer: Nan Xiao <me@nanx.me>

Diff between OHPL versions 1.4.1 dated 2024-07-20 and 1.4.2 dated 2026-04-13

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More information about OHPL at CRAN
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New package luckieR with initial version 0.1.0
Package: luckieR
Title: Calculations of Luck in Structured Population Models
Version: 0.1.0
Maintainer: Christina Hernandez <christinahernan@gmail.com>
Description: User-friendly and generalized tools for the calculation of luck -- moments of variation in metrics like lifespan and lifetime reproductive output. We provide tools for calculating those moments and also performing decompositions into contributions from, for example, individual traits, environmental impacts, and luck (also called individual stochasticity). The functions included here are based on Snyder and Ellner (2024) <doi:10.1086/730557>, Cochran and Ellner (1992) <https://www.jstor.org/stable/2937115>, and Hernandez et al. (2024) <doi:10.1111/ele.14390>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: Matrix
URL: https://github.com/chrissy3815/luckieR
BugReports: https://github.com/chrissy3815/luckieR/issues
NeedsCompilation: no
Packaged: 2026-04-07 01:30:19 UTC; chrissy
Author: Robin Snyder [aut, cph], Christina Hernandez [aut, cre], Steve Ellner [aut]
Repository: CRAN
Date/Publication: 2026-04-13 11:20:02 UTC

More information about luckieR at CRAN
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New package bsocialv2 with initial version 0.1.1
Package: bsocialv2
Title: Analysis of Microbial Social Behavior in Bacterial Consortia
Version: 0.1.1
Description: Provides an S4 class and methods for analyzing microbial social behavior in bacterial consortia. Includes growth parameter extraction, social behavior classification (cooperators/cheaters/neutrals), diversity effect analysis, consortium assembly path finding, and stability analysis via coefficient of variation. Methods are described in Purswani et al. (2017) <doi:10.3389/fmicb.2017.00919>.
License: MIT + file LICENSE
URL: https://github.com/Juane99/bsocialv2
BugReports: https://github.com/Juane99/bsocialv2/issues
Encoding: UTF-8
Depends: R (>= 4.0), methods
Imports: dplyr, ggplot2, grDevices, growthcurver, igraph, magrittr, reshape2, rlang, stats, tidyr, viridis
Suggests: readr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-07 12:33:00 UTC; juane
Author: Maria Garcia Toledo [aut], Juan Emilio Martinez Manjon [aut, cre], Jessica Purswani [aut], Rocio Romero Zaliz [aut]
Maintainer: Juan Emilio Martinez Manjon <juanemartinez999@hotmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 11:40:02 UTC

More information about bsocialv2 at CRAN
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Package AIscreenR updated to version 0.3.0 with previous version 0.2.0 dated 2025-08-18

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

Diff between AIscreenR versions 0.2.0 dated 2025-08-18 and 0.3.0 dated 2026-04-13

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Package topr updated to version 2.0.4 with previous version 2.0.3 dated 2026-04-12

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Thorhildur Juliusdottir [cph, aut, cre], Andri Stefansson [aut], Kyle Scott [ctb]
Maintainer: Thorhildur Juliusdottir <totajuliusd@gmail.com>

Diff between topr versions 2.0.3 dated 2026-04-12 and 2.0.4 dated 2026-04-13

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More information about topr at CRAN
Permanent link

Package SNPassoc readmission to version 2.3.1 with previous version 2.1-2 dated 2024-10-28

Title: SNPs-Based Whole Genome Association Studies
Description: Functions to perform most of the common analysis in genome association studies are implemented. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation test and related tests (sum statistic and truncated product) are also implemented. Max-statistic and genetic risk-allele score exact distributions are also possible to be estimated. The methods are described in Gonzalez JR et al., 2007 <doi: 10.1093/bioinformatics/btm025>. This version includes internal copies of functions from the archived 'haplo.stats' package to maintain functionality.
Author: Victor Moreno [aut], Juan R Gonzalez [aut] , Dolors Pelegri [aut, cre]
Maintainer: Dolors Pelegri <dolors.pelegri@isglobal.org>

This is a re-admission after prior archival of version 2.1-2 dated 2024-10-28

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Permanent link

Package W3CMarkupValidator updated to version 0.2-3 with previous version 0.2-2 dated 2025-12-10

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between W3CMarkupValidator versions 0.2-2 dated 2025-12-10 and 0.2-3 dated 2026-04-13

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Package qcluster updated to version 2.0.0 with previous version 1.2.1 dated 2025-01-13

Title: Clustering via Quadratic Scoring
Description: Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.
Author: Luca Coraggio [cre, aut] , Pietro Coretto [aut]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>

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More information about qcluster at CRAN
Permanent link

Package huge updated to version 1.6 with previous version 1.5.1 dated 2026-03-31

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation, the graphical lasso, or the TIGER (tuning-insensitive graph estimation and regression) method, and the first two can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stab [...truncated...]
Author: Haoming Jiang [aut], Xinyu Fei [aut], Han Liu [aut], Kathryn Roeder [aut], John Lafferty [aut], Larry Wasserman [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

Diff between huge versions 1.5.1 dated 2026-03-31 and 1.6 dated 2026-04-13

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More information about huge at CRAN
Permanent link

Package virustotal updated to version 0.6.0 with previous version 0.5.0 dated 2025-12-16

Title: R Client for the 'VirusTotal' API
Description: Provides a comprehensive R interface to the 'VirusTotal' API v3.0 <https://docs.virustotal.com/>, a Google service that analyzes files and URLs for viruses, worms, trojans and other malware. Features include file/URL scanning, domain categorization, passive DNS information, IP reputation analysis, IoC relationships, sandbox analysis, and comment/voting systems. Implements rate limiting, error handling, and response validation for robust security analysis workflows.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package TSdeeplearning readmission to version 1.0.1 with previous version 0.1.0 dated 2022-09-09

Title: Deep Learning Model for Time Series Forecasting
Description: Provides deep learning models for time series forecasting using Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU). These models capture temporal dependencies and address vanishing gradient issues in sequential data. The package enables efficient forecasting for univariate time series. For methodological details see Jaiswal and co-authors (2022). <doi:10.1007/s00521-021-06621-3>.
Author: Ronit Jaiswal [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb], Kapil Choudhary [aut, ctb]
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2022-09-09

Diff between TSdeeplearning versions 0.1.0 dated 2022-09-09 and 1.0.1 dated 2026-04-13

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Package soilassessment readmission to version 0.3.2 with previous version 0.3.1 dated 2026-02-22

Title: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
Description: Soil health assessment builds information to improve decision in soil management. It facilitates assessment of soil conditions for crop suitability [such as those given by FAO <https://www.fao.org/land-water/databases-and-software/crop-information/en/>], groundwater recharge, fertility, erosion, salinization [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and status of soil resources.
Author: Christian Thine Omuto [aut, cre]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>

This is a re-admission after prior archival of version 0.3.1 dated 2026-02-22

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Package rtpcr updated to version 2.1.7 with previous version 2.1.6 dated 2026-03-14

Title: qPCR Data Analysis
Description: Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-test, Wilcoxon-test, ANOVA models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <mirzaghaderi@gmail.com>

Diff between rtpcr versions 2.1.6 dated 2026-03-14 and 2.1.7 dated 2026-04-13

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Package readODS updated to version 2.3.5 with previous version 2.3.4 dated 2026-04-10

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package notionapi updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-02

Title: Client for the 'Notion API'
Description: Enable programmatic interaction with 'Notion' pages, databases, blocks, comments, and users through the 'Notion API' <https://developers.notion.com/>. Provides both synchronous and asynchronous client interfaces for building workflows and automations that integrate with 'Notion' workspaces. Supports all 'Notion API' endpoints including content creation, data retrieval, and workspace management.
Author: Brenwin Ang [aut, cre, cph]
Maintainer: Brenwin Ang <brenwinalj@gmail.com>

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Package wired updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-06

Title: Weighted Adaptive Prediction with Structured Dependence
Description: Builds a joint probabilistic forecast across series and horizons using adaptive copulas (Gaussian/t) with shrinkage-repaired correlations. At the low level it calls a probabilistic mixer per series and horizon, which backtests several simple predictors, predicts next-window Continuous Ranked Probability Score (CRPS), and converts those scores into softmax weights to form a calibrated mixture (r/q/p/dfun). The mixer blends eight simple predictors: a naive predictor that wraps the last move in a PERT distribution; an arima predictor using auto.arima for one-step forecasts; an Exponentially Weighted Moving Average (EWMA) gaussian predictor with mean/variance under a Gaussian; a historical bootstrap predictor that resamples past horizon-aligned moves; a drift residual bootstrap predictor combining linear trend with bootstrapped residuals; a volatility-scaled naive predictor centering on the last move and scaling by recent volatility; a robust median mad predictor using median/MAD with Lapl [...truncated...]
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between wired versions 1.0.0 dated 2026-02-06 and 1.0.1 dated 2026-04-13

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Package tinytest2JUnit updated to version 1.1.3 with previous version 1.1.2 dated 2024-05-30

Title: Convert 'tinytest' Output to JUnit XML
Description: Unit testing is a solid component of automated CI/CD pipelines. 'tinytest' - a lightweight, zero-dependency alternative to 'testthat' was developed. To be able to integrate 'tinytests' results into common CI/CD systems the 'tinytests'-object is converted to JUnit XML format. 'tinytest2JUnit' enables this conversion while staying lightweight, having only 'tinytest' as its dependency.
Author: Anne-Katrin Hess [aut], Lennart Tuijnder [aut, cre]
Maintainer: Lennart Tuijnder <lennart.tuijnder@openanalytics.eu>

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Package eclipseplot updated to version 0.9.6 with previous version 0.9.4 dated 2026-02-19

Title: Graphical Visualizations for ROBUST-RCT Risk of Bias Assessments
Description: Provides visual representations of risk-of-bias assessments using the ROBUST-RCT framework, as described in Wang et al. (2025) <doi:10.1136/bmj-2024-081199>. The graphical visualization displays both factual evaluation (Step 1) and judgment (Step 2).
Author: Pedro Rodrigues Vidor [aut, cre], Yohan Casiraghi [ctb], Sofia Simoni Rossi Fermo [ctb], Adolfo Moraes de Souza [ctb], Patricia Klarmann Ziegelmann [ctb], Maria Ines Schmidt [ctb], Maicon Falavigna [ctb]
Maintainer: Pedro Rodrigues Vidor <pedro.vidor@ufrgs.br>

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Package cpp4r updated to version 0.5.0 with previous version 0.4.0 dated 2025-12-04

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package agrobox updated to version 0.3.0 with previous version 0.2.1 dated 2026-01-10

Title: Data Visualization and Statistical Tools for Agroindustrial Experiments
Description: Set of tools for statistical analysis, visualization, and reporting of agroindustrial and agricultural experiments. The package provides functions to perform one-way and two-way ANOVA with post-hoc tests (Tukey HSD and Duncan MRT), Welch ANOVA for heteroscedastic data, and the Games-Howell post-hoc test as a robust alternative when variance homogeneity fails. Normality of residuals is assessed with the Shapiro-Wilk test and homoscedasticity with the Fligner-Killeen test; the appropriate statistical path is selected automatically based on these diagnostics. Coefficients of variation and statistical power (via one-way ANOVA power analysis) are reported alongside the post-hoc letter display. High-level wrappers allow automated multi-variable analysis with optional clustering by one or two experimental factors, with support for custom level ordering and relabeling. Results are returned as 'ggplot2' boxplots with mean and letter annotations, wide-format summary tables ready for publication [...truncated...]
Author: Joaquin Alejandro Salinas Angeles [aut, cre]
Maintainer: Joaquin Alejandro Salinas Angeles <joaquinsa03@gmail.com>

Diff between agrobox versions 0.2.1 dated 2026-01-10 and 0.3.0 dated 2026-04-13

 DESCRIPTION                 |   71 +-
 MD5                         |   24 
 NAMESPACE                   |   60 +
 NEWS.md                     |   64 ++
 R/agrobox.R                 | 1380 ++++++++++++++++++++++++++++++--------------
 R/agroexcel.R               |    1 
 R/agrosintesis.R            |  366 +++++++++--
 R/globals.R                 |    5 
 R/nitrogeno_liberacion.R    |only
 R/pimiento_hibridacion.R    |only
 data                        |only
 man/agrobox.Rd              |  324 ++++++++--
 man/agrosintesis.Rd         |   28 
 man/nitrogeno_liberacion.Rd |only
 man/pimiento_hibridacion.Rd |only
 15 files changed, 1748 insertions(+), 575 deletions(-)

More information about agrobox at CRAN
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