Fri, 03 Apr 2026

Package mlmoderator updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-27

Title: Probing, Plotting, and Interpreting Multilevel Interaction Effects
Description: Provides a unified workflow for probing, plotting, and assessing the robustness of cross-level interaction effects in two-level mixed-effects models fitted with 'lme4' (Bates et al., 2015) <doi:10.18637/jss.v067.i01>. Implements simple slopes analysis following Aiken and West (1991, ISBN:9780761907121), Johnson-Neyman intervals following Johnson and Fay (1950) <doi:10.1007/BF02288864> and Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5>, and grand- or group-mean centering as described in Enders and Tofighi (2007) <doi:10.1037/1082-989X.12.2.121>. Includes a slope variance decomposition that separates fixed-effect uncertainty from random-slope variance (tau11), a contour surface plot of predicted outcomes over the full predictor-by-moderator space, and robustness diagnostics comprising intraclass correlation coefficient shift analysis and leave-one-cluster-out (LOCO) stability checks. Designed for researchers in education, psychology, biostatistics, epide [...truncated...]
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>

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Package optimall updated to version 1.4.0 with previous version 1.3.1 dated 2026-01-28

Title: Allocate Samples Among Strata
Description: Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits. A paper on this package was published in the Journal of Statistical Software <doi:10.18637/jss.v114.i10>.
Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev]
Maintainer: Jasper Yang <jbyang@uw.edu>

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Package synopR updated to version 1.0.0 with previous version 0.2.2 dated 2026-03-18

Title: Fast Decoding of SYNOP (Surface Synoptic Observations) Meteorological Messages
Description: Decode raw SYNOP (surface synoptic observations) messages into data frames, extracting data from Sections 0, 1, and 3, including temperature, dew point, pressure, wind, clouds, and precipitation. Available functions to download SYNOP messages from Ogimet <https://www.ogimet.com/> if needed. The decoding logic follows the specifications defined in the World Meteorological Organization (2019) "Manual on Codes, Volume I.1 (WMO-No. 306)".
Author: Ezequiel Elias [aut, cre]
Maintainer: Ezequiel Elias <elezeru15@gmail.com>

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Package rigr updated to version 1.0.9 with previous version 1.0.8 dated 2025-09-02

Title: Regression, Inference, and General Data Analysis Tools in R
Description: A set of tools to streamline data analysis. Learning both R and introductory statistics at the same time can be challenging, and so we created 'rigr' to facilitate common data analysis tasks and enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. 'rigr' output includes key information while omitting unnecessary details that can be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard errors are returned by default, and multiple partial F-tests and tests for contrasts are easy to specify. A single regression function can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.
Author: Amy D Willis [aut, cre] , Taylor Okonek [aut], Charles J Wolock [aut], Brian D Williamson [aut], Scott S Emerson [aut], Andrew J Spieker [aut], Yiqun T Chen [aut], Travis Y Hee Wai [ctb], James P Hughes [ctb], R Core Team [ctb], Akhil S Bhel [ctb], T [...truncated...]
Maintainer: Amy D Willis <adwillis@uw.edu>

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Package percentiles readmission to version 0.2.3 with previous version 0.2.2 dated 2021-04-08

Title: Calculate (Stratified) Percentiles
Description: Calculate (stratified) percentiles on a data.frame Stratification will split the data.frame into subgroups and calculate percentiles for each independently.
Author: Dr J. Peter Amin Marquardt [aut, cre]
Maintainer: Dr J. Peter Amin Marquardt <peter@kmarquardt.de>

This is a re-admission after prior archival of version 0.2.2 dated 2021-04-08

Diff between percentiles versions 0.2.2 dated 2021-04-08 and 0.2.3 dated 2026-04-03

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Package panelr readmission to version 1.0.1 with previous version 1.0.0 dated 2026-01-21

Title: Regression Models and Utilities for Repeated Measures and Panel Data
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <jacob.long@sc.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2026-01-21

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Package LSDinterface readmission to version 1.2.5 with previous version 1.2.2 dated 2024-07-29

Title: Interface Tools for 'LSD' Simulation Results Files
Description: Interfaces 'R' with 'LSD' simulation models. Reads object-oriented data in results files (.res[.gz]) produced by 'LSD' and creates appropriate multi-dimensional arrays in 'R'. Supports multiple core parallel threads of multi-file data reading for increased performance. Also provides functions to extract basic information and statistics from data files. 'LSD' (Laboratory for Simulation Development) is free software developed by Marco Valente and Marcelo C. Pereira (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre]
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>

This is a re-admission after prior archival of version 1.2.2 dated 2024-07-29

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Package fabricQueryR updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-15

Title: Query Data in 'Microsoft Fabric'
Description: Query data hosted in 'Microsoft Fabric'. Provides helpers to open 'DBI' connections to 'SQL' endpoints of 'Lakehouse' and 'Data Warehouse' items; submit 'Data Analysis Expressions' ('DAX') queries to semantic model datasets in 'Microsoft Fabric' and 'Power BI'; read 'Delta Lake' tables stored in 'OneLake' ('Azure Data Lake Storage Gen2'); and execute 'Spark' code via the 'Livy API'.
Author: Luka Koning [aut, cre, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <koningluka@gmail.com>

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Package bayeslm readmission to version 2.0 with previous version 1.0.1 dated 2022-06-27

Title: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors
Description: Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <doi:10.48550/arXiv.1806.05738>.
Author: Jingyu He [aut, cre], P. Richard Hahn [aut], Hedibert Lopes [aut], Andrew Herren [ctb]
Maintainer: Jingyu He <jingyuhe@cityu.edu.hk>

This is a re-admission after prior archival of version 1.0.1 dated 2022-06-27

Diff between bayeslm versions 1.0.1 dated 2022-06-27 and 2.0 dated 2026-04-03

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New package ravel with initial version 0.1.1
Package: ravel
Title: AI Copilot for R Analysis Workflows in 'RStudio'
Version: 0.1.1
Description: An AI copilot for R users in 'RStudio' and Posit workflows with active-editor, workspace, object, console, plot, and git-aware context. Provides statistical helpers for interpreting lm() and glm() models, stages code and file actions before execution, drafts reproducible 'Quarto' content, and connects to official provider APIs or CLIs for 'OpenAI', 'GitHub Copilot', 'Gemini', and 'Anthropic'.
License: MIT + file LICENSE
URL: https://github.com/msaule/ravel, https://msaule.github.io/ravel/
BugReports: https://github.com/msaule/ravel/issues
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, digest, httr2, jsonlite, miniUI, rstudioapi, shiny, stats, tibble, tools, utils
Suggests: keyring, knitr, lintr, pkgdown, rcmdcheck, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-31 15:56:01 UTC; saule
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 20:30:02 UTC

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New package multipleITScontrol with initial version 0.1.0
Package: multipleITScontrol
Title: Interrupted Time Series with a Control and Multiple Interventions
Version: 0.1.0
Description: Provides tools to perform interrupted-time series through a generalised least squares (GLS) framework on linear outcomes. Allows for multiple interventions and a control with ARMA (autoregressive and moving-average) correction. For more details see Lopez Bernal, Cummins, and Gasparrini (2017) <doi:10.1093/ije/dyw098>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggpubr, DT, forcats, lubridate, sjPlot, stringi, zoo, tidyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: magrittr, dplyr, tibble, rlang, purrr, nlme, AICcmodavg, ggplot2, scales, grid, stats, stringr
URL: https://herts-phei.github.io/multipleITScontrol/
NeedsCompilation: no
Packaged: 2026-03-31 11:34:06 UTC; vyu
Author: Victor Yu [cre, aut], Emily Dickson [ctb]
Maintainer: Victor Yu <victor.yu@hertfordshire.gov.uk>
Repository: CRAN
Date/Publication: 2026-04-03 20:10:02 UTC

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Package countSTAR updated to version 1.2.0 with previous version 1.0.2 dated 2023-06-30

Title: Flexible Modeling of Count Data
Description: For Bayesian and classical inference and prediction with count-valued data, Simultaneous Transformation and Rounding (STAR) Models provide a flexible, interpretable, and easy-to-use approach. STAR models the observed count data using a rounded continuous data model and incorporates a transformation for greater flexibility. Implicitly, STAR formalizes the commonly-applied yet incoherent procedure of (i) transforming count-valued data and subsequently (ii) modeling the transformed data using Gaussian models. STAR is well-defined for count-valued data, which is reflected in predictive accuracy, and is designed to account for zero-inflation, bounded or censored data, and over- or underdispersion. Importantly, STAR is easy to combine with existing MCMC or point estimation methods for continuous data, which allows seamless adaptation of continuous data models (such as linear regressions, additive models, BART, random forests, and gradient boosting machines) for count-valued data. The package [...truncated...]
Author: Brian King [aut, cre], Dan Kowal [aut]
Maintainer: Brian King <brianking387@gmail.com>

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Package cnefetools readmission to version 0.2.5 with previous version 0.2.3 dated 2026-03-06

Title: Access and Analysis of Brazilian CNEFE Address Data
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>

This is a re-admission after prior archival of version 0.2.3 dated 2026-03-06

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Package pmrm updated to version 0.0.4 with previous version 0.0.3 dated 2026-03-12

Title: Progression Models for Repeated Measures
Description: A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) <doi:10.1002/sim.9581> using 'RTMB' by Kristensen (2016) <doi:10.18637/jss.v070.i05>.
Author: William Michael Landau [aut, cre] , Lars Lau Raket [aut] , Kasper Kristensen [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package phylospatial updated to version 1.3.0 with previous version 1.2.1 dated 2025-12-23

Title: Spatial Phylogenetic Analysis
Description: Analyze spatial phylogenetic diversity patterns. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package Rrepest updated to version 1.6.12 with previous version 1.6.11 dated 2026-02-03

Title: An Analyzer of International Large Scale Assessments in Education
Description: An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).
Author: Rodolfo Ilizaliturri [aut, cre], Francesco Avvisati [aut], Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri@oecd.org>

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Package McMiso updated to version 0.2.0 with previous version 0.1.2 dated 2025-11-21

Title: Multicore Multivariable Isotonic Regression
Description: Provides functions for isotonic regression and classification when there are multiple independent variables. The functions solve the optimization problem using a projective Bayes approach with recursive sequential update algorithms, and are useful for situations with a relatively large number of covariates. Supports binary outcomes via a Beta-Binomial conjugate model ('miso', 'PBclassifier') and continuous outcomes via a Normal-Inverse-Chi-Squared conjugate model ('misoN'). Parallel computing wrappers ('mcmiso', 'mcPBclassifier', 'mcmisoN') are provided that run the down-up and up-down algorithms simultaneously and return whichever finishes first. The estimation method follows the projective Bayes solution described in Cheung and Diaz (2023) <doi:10.1093/jrsssb/qkad014>.
Author: Cheung Ken [aut, cre]
Maintainer: Cheung Ken <yc632@cumc.columbia.edu>

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Package matrixCorr updated to version 0.10.0 with previous version 0.8.5 dated 2026-03-20

Title: Collection of Correlation and Association Estimators
Description: Compute correlation, association, and agreement measures for small to high-dimensional datasets through a consistent matrix-oriented interface. Supports classical correlations (Pearson, Spearman, Kendall), distance correlation, partial correlation with regularised estimators, shrinkage correlation for p >= n settings, robust correlations including biweight mid-correlation, percentage-bend, and skipped correlation, latent-variable methods for binary and ordinal data, repeated-measures correlation, and agreement analyses based on Bland-Altman methods and Lin's concordance correlation coefficient, including repeated-measures extensions. Implemented with optimized C++ backends using BLAS/OpenMP and memory-aware symmetric updates, and returns standard R objects with print/summary/plot methods plus optional Shiny viewers for matrix inspection. Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; high-dimensional shrinkage covariance estimation <doi:10.2202 [...truncated...]
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

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Package unifiedml updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-10

Title: Unified Interface for Machine Learning Models
Description: Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).
Author: T. Moudiki [aut, cre]
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>

Diff between unifiedml versions 0.2.0 dated 2026-01-10 and 0.2.1 dated 2026-04-03

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New package symMCD with initial version 0.6
Package: symMCD
Title: Symmetrized MCD
Version: 0.6
Date: 2026-03-31
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo
Description: Provides implementations of origin-based and symmetrized minimum covariance determinant (MCD) estimators, together with supporting utility functions.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-03-31 10:52:44 UTC; nordklau
Author: Klaus Nordhausen [aut, cre] , Christophe Croux [aut]
Maintainer: Klaus Nordhausen <klaus.nordhausenr@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:07 UTC

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New package OdysseusSurvivalModule with initial version 0.1.0
Package: OdysseusSurvivalModule
Title: Cohort-Based Single-Event Survival Utilities
Version: 0.1.0
Description: Tools to build single-event survival datasets from "OMOP CDM" cohorts and estimate survival outcomes. The package supports Kaplan-Meier, Cox proportional hazards, and parametric accelerated-failure-time models, with optional stratification by gender and age groups.
License: Apache License (== 2.0)
Imports: DatabaseConnector, ggsurvfit, SqlRender, survival
Suggests: Eunomia, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-31 09:53:41 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Maintainer: Alexander Alexeyuk <AlexanderAlexeyuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:17 UTC

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Package LogicForest updated to version 2.1.4 with previous version 2.1.3 dated 2026-02-13

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

Diff between LogicForest versions 2.1.3 dated 2026-02-13 and 2.1.4 dated 2026-04-03

 DESCRIPTION      |    6 
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New package easyComment with initial version 2.0.0
Package: easyComment
Title: Generate Comment Boxes with Custom Alignment
Version: 2.0.0
Description: Provides a function to generate comment boxes framed with '#' characters, with configurable width and text alignment (left, center, or right). Useful for formatting scripts and improving code readability.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-31 08:54:49 UTC; gm666338
Author: Gregoire Muller [aut, cre]
Maintainer: Gregoire Muller <muller.gregoire@protonmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 15:30:12 UTC

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Package ggseg updated to version 2.1.0 with previous version 2.0.0 dated 2026-02-19

Title: Plotting Tool for Brain Atlases
Description: Provides a 'ggplot2' geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as simple features ('sf'), enabling seamless integration with the 'ggplot2' ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre, cph] , Didac Vidal-Pineiro [aut, cph] , Ramiro Magno [aut] , Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg versions 2.0.0 dated 2026-02-19 and 2.1.0 dated 2026-04-03

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Package clusterMI updated to version 1.6 with previous version 1.5 dated 2025-02-24

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

Diff between clusterMI versions 1.5 dated 2025-02-24 and 1.6 dated 2026-04-03

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Package chopin updated to version 0.9.9-5 with previous version 0.9.9 dated 2025-09-10

Title: Spatial Parallel Computing by Hierarchical Data Partitioning
Description: Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on 'future' (Bengtsson, 2024 <doi:10.32614/CRAN.package.future>) and 'mirai' (Gao et al., 2025 <doi:10.32614/CRAN.package.mirai>) parallel back-ends, 'terra' (Hijmans et al., 2025 <doi:10.32614/CRAN.package.terra>) and 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from par_pad_*() functions to par_grid(), par_hierarchy(), or par_multirasters() functions. Virtually any functions accepting classes in 'terra' or 'sf' packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function extract_at(), which uses 'exactextractr' (Baston, 2023 <doi:10.32614/CRAN.package.exactextractr>), with options for kernel weights for summarizing [...truncated...]
Author: Insang Song [aut, cre] , Kyle Messier [aut, ctb] , Alec L. Robitaille [rev] , Eric R. Scott [rev]
Maintainer: Insang Song <geoissong@gmail.com>

Diff between chopin versions 0.9.9 dated 2025-09-10 and 0.9.9-5 dated 2026-04-03

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Package fru updated to version 0.0.5 with previous version 0.0.4 dated 2026-03-21

Title: A Blazing Fast Implementation of Random Forest
Description: Yet another implementation of the Random Forest method by Breiman (2001) <doi:10.1023/A:1010933404324>, written in Rust and tailored towards stability, correctness, efficiency and scalability on modern multi-core machines. Handles both classification and regression, as well as provides permutation feature importance via a novel, highly optimised algorithm.
Author: Miron Bartosz Kursa [aut, cre] , Krzysztof Piotr Piwonski [aut]
Maintainer: Miron Bartosz Kursa <m@mbq.me>

Diff between fru versions 0.0.4 dated 2026-03-21 and 0.0.5 dated 2026-04-03

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New package mpmaggregate with initial version 0.2.5
Package: mpmaggregate
Title: Aggregate Matrix Population Models
Version: 0.2.5
Date: 2026-03-30
Author: Richard A. Hinrichsen [aut, cre] , Roberto Salguero-Gomez [aut] , Hiroyuki Yokomizo [aut]
Maintainer: Richard A. Hinrichsen <r.hinrichsen.ecology@gmail.com>
Description: Aggregates matrix population models (MPMs) in both the lambda (stable growth rate) and R0 (net reproductive rate) frameworks, including standard and elasticity-consistent aggregators. Standard aggregation in the lambda framework maintains consistent lambda and stable stage distribution, while standard aggregation in the R0 framework maintains consistent R0 and cohort stable stage distribution. Elasticity-consistent aggregators maintain these same consistencies with respect to the chosen framework and additionally preserve consistent reproductive values in the lambda framework and cohort reproductive values in the R0 framework. Aggregation can take the form of general-to-general MPM (mpm_aggregate) or Leslie-to-Leslie MPM (leslie_aggregate).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: expm
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, Rcompadre, kableExtra, rphylopic, collidr, png
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-31 03:36:50 UTC; Rich
Repository: CRAN
Date/Publication: 2026-04-03 09:10:02 UTC

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Package ILSAstats updated to version 0.4.5 with previous version 0.4.4 dated 2026-03-13

Title: Statistics for International Large-Scale Assessments (ILSA)
Description: Calculates point estimates and standard errors using replicate weights and plausible values for International Large-Scale Assessments (ILSA), including: means, proportions, quantiles, correlations, singlelevel regressions, and multilevel regressions.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

Diff between ILSAstats versions 0.4.4 dated 2026-03-13 and 0.4.5 dated 2026-04-03

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New package zmctp with initial version 0.1.0
Package: zmctp
Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Version: 0.1.0
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/roladoja/zmctp
BugReports: https://github.com/roladoja/zmctp/issues
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-30 15:14:35 UTC; kemmi
Author: Rasheedat Oladoja [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-03 08:00:02 UTC

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New package tulpaMesh with initial version 0.1.1
Package: tulpaMesh
Title: Constrained Delaunay Triangulation Meshes for Spatial 'SPDE' Models
Version: 0.1.1
Description: Generate constrained Delaunay triangulation meshes for use with stochastic partial differential equation (SPDE) spatial models (Lindgren, Rue and Lindstroem 2011 <doi:10.1111/j.1467-9868.2011.00777.x>). Provides automatic mesh generation from point coordinates with boundary constraints, Ruppert refinement for mesh quality, finite element method (FEM) matrix assembly (mass, stiffness, projection), barrier models, spherical meshes via icosahedral subdivision, and metric graph meshes for network geometries. Built on the 'CDT' header-only C++ library (Amirkhanov 2024 <https://github.com/artem-ogre/CDT>). Designed as the mesh backend for the 'tulpa' Bayesian hierarchical modelling engine but usable standalone for any spatial triangulation task.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17, GNU make
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.12), Matrix (>= 1.5-0), RcppParallel
Suggests: testthat (>= 3.0.0), sf, fmesher, ggplot2, svglite, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppParallel
URL: https://github.com/gcol33/tulpaMesh
BugReports: https://github.com/gcol33/tulpaMesh/issues
NeedsCompilation: yes
Packaged: 2026-03-30 19:16:03 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Artem Amirkhanov [ctb, cph] ), William C. Lenthe [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:02 UTC

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New package statAfrikR with initial version 0.1.0
Package: statAfrikR
Title: Statistical Tools for African National Statistics Institutes
Version: 0.1.0
Description: A comprehensive statistical toolbox for National Statistics Institutes (INS) in Africa. Provides functions for survey data import ('KoboToolbox', 'ODK', 'CSPro', 'Excel', 'Stata', 'SPSS'), data processing and validation, weighted statistical analysis (descriptive statistics, cross-tabulations, regression, Human Development Index (HDI), Multidimensional Poverty Index (MPI) following Alkire and Foster (2011) <doi:10.1093/oep/gpr051>, inequalities), visualization (age pyramids, thematic maps, official charts) and dissemination ('SDMX' export, 'DDI' metadata, anonymization, Word/PDF reports). Designed to work in resource-constrained environments, offline and in French.
License: GPL (>= 3)
Encoding: UTF-8
Language: fr
URL: https://github.com/damoko2004/statAfrikR
BugReports: https://github.com/damoko2004/statAfrikR/issues
Depends: R (>= 4.2.0)
Imports: dplyr (>= 1.1.0), forcats (>= 1.0.0), ggplot2 (>= 3.4.0), haven (>= 2.5.0), readr (>= 2.1.0), readxl (>= 1.4.0), rlang (>= 1.1.0), scales (>= 1.2.0), stringr (>= 1.5.0), survey (>= 4.1.0), tibble (>= 3.1.0), tidyr (>= 1.3.0)
Suggests: flextable (>= 0.9.0), httr2 (>= 0.2.0), jsonlite (>= 1.8.0), officer (>= 0.6.0), openxlsx2 (>= 0.8.0), sf (>= 1.0.0), srvyr (>= 1.1.0), testthat (>= 3.0.0), rmarkdown (>= 2.20), withr (>= 2.5.0), knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 20:25:08 UTC; dickersamoko
Author: Dikers Amoko [aut, cre]
Maintainer: Dikers Amoko <diamoko@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:08 UTC

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New package shard with initial version 0.1.0
Package: shard
Title: Deterministic, Zero-Copy Parallel Execution for R
Version: 0.1.0
Description: Provides a parallel execution runtime for R that emphasizes deterministic memory behavior and efficient handling of large shared inputs. 'shard' enables zero-copy parallel reads via shared/memory-mapped segments, encourages explicit output buffers to avoid large result aggregation, and supervises worker processes to mitigate memory drift via controlled recycling. Diagnostics report peak memory usage, end-of-run memory return, and hidden copy/materialization events to support reproducible performance benchmarking.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: methods, parallel, stats, tools, utils
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0), ps, jsonlite, tibble, withr
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://bbuchsbaum.github.io/shard/, https://github.com/bbuchsbaum/shard
BugReports: https://github.com/bbuchsbaum/shard/issues
SystemRequirements: POSIX shared memory (optional), memory-mapped files
Packaged: 2026-03-30 21:15:29 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre, cph]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:40:02 UTC

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New package seroreconstruct with initial version 1.1.5
Package: seroreconstruct
Title: Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection
Version: 1.1.5
Maintainer: Tim Tsang <timkltsang@gmail.com>
Description: A Bayesian framework for inferring influenza infection status from serial antibody measurements. Jointly estimates season-specific infection probabilities, antibody boosting and waning after infection, and baseline hemagglutination inhibition (HAI) titer distributions via Markov chain Monte Carlo (MCMC). Supports multi-season analysis and subgroup comparisons via a group_by interface. See Tsang et al. (2022) <doi:10.1038/s41467-022-29310-8> for methodological details.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/timktsang/seroreconstruct
BugReports: https://github.com/timktsang/seroreconstruct/issues
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: TBB
NeedsCompilation: yes
Packaged: 2026-03-30 14:58:37 UTC; timtsang
Author: Tim Tsang [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-03 08:50:03 UTC

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New package scip with initial version 1.10.0-2
Package: scip
Title: Interface to the SCIP Optimization Suite
Version: 1.10.0-2
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
License: Apache License (>= 2)
URL: https://github.com/bnaras/scip, https://scipopt.org/
BugReports: https://github.com/bnaras/scip/issues
Depends: R (>= 4.0)
Imports: methods, Matrix
Suggests: tinytest, slam, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: CMake (>= 3.11), GNU make, C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-31 01:10:17 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:02 UTC

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New package mlstm with initial version 0.1.6
Package: mlstm
Title: Multilevel Supervised Topic Models with Multiple Outcomes
Version: 0.1.6
Description: Fits latent Dirichlet allocation (LDA), supervised topic models, and multilevel supervised topic models for text data with multiple outcome variables. Core estimation routines are implemented in C++ using the 'Rcpp' ecosystem. For topic models, see Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>. For supervised topic models, see Blei and McAuliffe (2007) <https://papers.nips.cc/paper_files/paper/2007/hash/d56b9fc4b0f1be8871f5e1c40c0067e7-Abstract.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp, Matrix, data.table, RcppParallel, stats
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, BH
SystemRequirements: C++17
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://thimeno1993.github.io/mlstm/
BugReports: https://github.com/thimeno1993/mlstm/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-30 23:46:18 UTC; tomoya
Author: Tomoya Himeno [aut, cre]
Maintainer: Tomoya Himeno <bd24f002@g.hit-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:10 UTC

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New package MAIHDA with initial version 0.1.0
Package: MAIHDA
Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Version: 0.1.0
Description: Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.018> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: lme4 (>= 1.1-27), ggplot2 (>= 3.3.0), dplyr (>= 1.0.0), tidyr (>= 1.1.0), stats, rlang (>= 0.4.0)
Suggests: brms (>= 2.15.0), testthat (>= 3.0.0), knitr, rmarkdown, boot (>= 1.3-20)
VignetteBuilder: knitr
URL: https://github.com/hdbt/MAIHDA, https://hdbt.github.io/MAIHDA/
BugReports: https://github.com/hdbt/MAIHDA/issues
NeedsCompilation: no
Packaged: 2026-03-30 17:53:10 UTC; hamid
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <hamid.bulut@ymail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:10:02 UTC

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New package csmbuilder with initial version 0.1.0
Package: csmbuilder
Title: A Collection of Tools for Building Cropping System Models
Version: 0.1.0
Description: A collection of tools for designing, implementing, testing, documenting and visualizing dynamic simulation cropping system models. Models are specified as a combination of state variables, parameters, intermediate factors and input data that define a system of ordinary differential equations. Specified models can be used to simulate dynamic processes using numerical integration algorithms.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Suggests: deSolve, Rcpp, tinytest
NeedsCompilation: no
Packaged: 2026-03-30 20:32:52 UTC; palderman
Author: Phillip D Alderman [aut, cre], Pratishtha Poudel [aut]
Maintainer: Phillip D Alderman <phillip.alderman@okstate.edu>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:15 UTC

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New package birdcolors with initial version 1.0.1
Package: birdcolors
Title: Create Palettes from the Colors of the World's Birds
Date: 2026-03-30
Version: 1.0.1
Depends: R (>= 4.0)
Description: Create attractive palettes based on the colors of the world's birds. Palettes are composed of 2 to 9 colors, with options to expand palettes via interpolation. Compatible with the package 'ggplot2' and base R graphics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2
NeedsCompilation: no
Packaged: 2026-03-30 20:21:15 UTC; benjamintonelli
Author: Ben Tonelli [aut, cre], Casey Youngflesh [aut], Chris Sayers [ctb], Ellie Magaldi [ctb]
Maintainer: Ben Tonelli <btonell@clemson.edu>
Repository: CRAN
Date/Publication: 2026-04-03 08:20:20 UTC

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New package balnet with initial version 0.0.1
Package: balnet
Title: Pathwise Estimation of Covariate Balancing Propensity Scores
Version: 0.0.1
Description: Provides pathwise estimation of regularized logistic propensity score models using covariate balancing loss functions rather than maximum likelihood. Regularization paths are fit via the 'adelie' elastic-net solver with a 'glmnet'-like interface and objectives that directly target covariate balance for the ATE and ATT. For details, see Sverdrup & Hastie (2026) <doi:10.48550/arXiv.2602.18577>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Imports: Rcpp, Matrix, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/erikcs/balnet
BugReports: https://github.com/erikcs/balnet/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-31 02:29:15 UTC; erikcs
Author: Erik Sverdrup [aut, cre], Trevor Hastie [aut], James Yang [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>
Repository: CRAN
Date/Publication: 2026-04-03 09:00:16 UTC

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Package rlas updated to version 1.8.6 with previous version 1.8.5 dated 2026-04-02

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between rlas versions 1.8.5 dated 2026-04-02 and 1.8.6 dated 2026-04-03

 DESCRIPTION                        |    6 ++--
 MD5                                |   10 +++----
 R/las_specifications.r             |   48 +++++++++++++++++++++----------------
 src/LASlib/lasreader_bin.cpp       |   18 ++++++-------
 src/LASlib/laswaveform13writer.cpp |    4 +--
 src/LASzip/mydefs.hpp              |    2 -
 6 files changed, 48 insertions(+), 40 deletions(-)

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New package lineagefreq with initial version 0.2.0
Package: lineagefreq
Title: Lineage Frequency Dynamics from Genomic Surveillance Counts
Version: 0.2.0
Description: Models pathogen lineage frequency dynamics from genomic surveillance count data. Provides a unified interface for multinomial logistic regression, hierarchical partial-pooling models, and the Piantham approximation for relative reproduction number estimation. Features include rolling-origin backtesting, standardized forecast scoring, lineage collapsing, emergence detection, and sequencing power analysis. Designed for real-time public health surveillance of any variant-resolved pathogen. Methods described in Abousamra, Figgins, and Bedford (2024) <doi:10.1371/journal.pcbi.1012443>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/lineagefreq
BugReports: https://github.com/CuiweiG/lineagefreq/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), grDevices, ggplot2 (>= 3.4.0), MASS, numDeriv, rlang (>= 1.1.0), stats, tibble (>= 3.1.0), tidyr (>= 1.3.0)
Suggests: broom, cmdstanr, covr, knitr, posterior, rmarkdown, testthat (>= 3.0.0), withr
Additional_repositories: https://mc-stan.org/r-packages/
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-30 15:43:33 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-03 08:00:08 UTC

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Package HDTSA updated to version 1.0.6 with previous version 1.0.5-1 dated 2025-01-27

Title: High Dimensional Time Series Analysis Tools
Description: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>, martingale difference test proposed by Chang, Jiang and Shao (2023) <doi:10.1016/j.jeconom.2022.09.001>, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, cointegration analysis proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2022) <doi:10.1093/biomet/asab034>, white noise tests proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066> and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) <doi:10.1093/jrsssb/qkac011> and Chang et al. (2026+) <doi:10.48550/arXiv.2410.05634>, and statistical inference for [...truncated...]
Author: Jinyuan Chang [aut], Jing He [aut], Chen Lin [aut, cre], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

Diff between HDTSA versions 1.0.5-1 dated 2025-01-27 and 1.0.6 dated 2026-04-03

 DESCRIPTION              |   20 ++---
 MD5                      |   40 +++++------
 R/CP_functions_unified.R |    6 -
 R/HDSreg.R               |   10 +-
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 R/RcppExports.R          |    4 +
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 src/Makevars             |    1 
 src/Makevars.win         |    2 
 src/RcppExports.cpp      |   17 ++++
 src/WNtest.cpp           |   45 ++++++++++++
 21 files changed, 293 insertions(+), 160 deletions(-)

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Package dplyr updated to version 1.2.1 with previous version 1.2.0 dated 2026-02-03

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] , Romain Francois [aut] , Lionel Henry [aut], Kirill Mueller [aut] , Davis Vaughan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between dplyr versions 1.2.0 dated 2026-02-03 and 1.2.1 dated 2026-04-03

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 src/chop.cpp                      |   99 +++++++++++++++++++++++++------------
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 src/filter.cpp                    |   14 ++++-
 src/imports.cpp                   |   10 +--
 src/init.cpp                      |    9 +--
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 tests/testthat/test-across.R      |   12 +++-
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Package GetDFPData (with last version 1.6) was removed from CRAN

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

2021-04-01 1.6
2020-05-18 1.5.3
2019-07-22 1.5.2
2019-03-25 1.5.1
2019-02-14 1.5
2019-01-12 1.4
2018-10-14 1.2
2018-08-28 1.0
2018-07-27 0.9
2018-07-16 0.8
2018-05-06 0.7
2018-02-16 0.6
2017-12-07 0.5

Permanent link
Package snvecR (with last version 3.10.1) was removed from CRAN

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

2025-03-06 3.10.1
2025-03-01 3.10.0
2024-05-29 3.9.4
2024-04-24 3.9.3

Permanent link
Package vetr updated to version 0.2.21 with previous version 0.2.20 dated 2026-01-23

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] , R Core Team [cph] , Michael Chirico [ctb]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between vetr versions 0.2.20 dated 2026-01-23 and 0.2.21 dated 2026-04-03

 DESCRIPTION                               |    6 ++--
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 src/parse.c                               |    4 ++
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 src/validate.h                            |    1 
 tests/unitizer/internal.R                 |    7 ++--
 tests/unitizer/internal.unitizer/data.rds |binary
 16 files changed, 129 insertions(+), 67 deletions(-)

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Package treesitter updated to version 0.3.2 with previous version 0.3.1 dated 2026-01-13

Title: Bindings to 'Tree-Sitter'
Description: Provides bindings to 'Tree-sitter', an incremental parsing system for programming tools. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between treesitter versions 0.3.1 dated 2026-01-13 and 0.3.2 dated 2026-04-03

 DESCRIPTION                       |    8 -
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 NEWS.md                           |    4 
 man/TreeCursor.Rd                 |    2 
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 76 files changed, 652 insertions(+), 520 deletions(-)

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Package soilDB updated to version 2.9.1 with previous version 2.8.13 dated 2025-09-26

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut] , Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.13 dated 2025-09-26 and 2.9.1 dated 2026-04-03

 soilDB-2.8.13/soilDB/data/gopheridge.rda                            |only
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 soilDB-2.9.1/soilDB/DESCRIPTION                                     |   18 
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 soilDB-2.9.1/soilDB/NAMESPACE                                       |  436 -
 soilDB-2.9.1/soilDB/NEWS.md                                         | 1882 +++----
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 soilDB-2.9.1/soilDB/R/ROSETTA.R                                     |  514 +
 soilDB-2.9.1/soilDB/R/SDA-spatial.R                                 | 1096 ++--
 soilDB-2.9.1/soilDB/R/SDA_query.R                                   |  694 +-
 soilDB-2.9.1/soilDB/R/SDA_utils.R                                   |   66 
 soilDB-2.9.1/soilDB/R/SSURGO_spatial_query.R                        |  169 
 soilDB-2.9.1/soilDB/R/STR.R                                         |  694 +-
 soilDB-2.9.1/soilDB/R/SoilDataViewer.R                              |  260 
 soilDB-2.9.1/soilDB/R/WCS-utils.R                                   | 1472 ++---
 soilDB-2.9.1/soilDB/R/aqp_data.R                                    |   96 
 soilDB-2.9.1/soilDB/R/createSSURGO.R                                | 1224 ++--
 soilDB-2.9.1/soilDB/R/createStaticNASIS.R                           |  372 -
 soilDB-2.9.1/soilDB/R/database-sources.R                            |   34 
 soilDB-2.9.1/soilDB/R/dbQueryNASIS.R                                |  168 
 soilDB-2.9.1/soilDB/R/estimateColorMixture.R                        |  174 
 soilDB-2.9.1/soilDB/R/fetchEDIT_tools.R                             |  320 -
 soilDB-2.9.1/soilDB/R/fetchHWSD.R                                   |  240 
 soilDB-2.9.1/soilDB/R/fetchHenry.R                                  |  902 +--
 soilDB-2.9.1/soilDB/R/fetchKSSL.R                                   |  898 +--
 soilDB-2.9.1/soilDB/R/fetchLDM.R                                    |  766 +-
 soilDB-2.9.1/soilDB/R/fetchNASIS.R                                  |  277 -
 soilDB-2.9.1/soilDB/R/fetchNASISLabData.R                           |  148 
 soilDB-2.9.1/soilDB/R/fetchNASISWebReport.R                         |  767 +-
 soilDB-2.9.1/soilDB/R/fetchNASIS_components.R                       |  402 -
 soilDB-2.9.1/soilDB/R/fetchNASIS_pedons.R                           |  689 +-
 soilDB-2.9.1/soilDB/R/fetchNASIS_report.R                           |  852 +--
 soilDB-2.9.1/soilDB/R/fetchNOAA.R                                   |  262 
 soilDB-2.9.1/soilDB/R/fetchOSD.R                                    |  944 +--
 soilDB-2.9.1/soilDB/R/fetchPedonPC.R                                |  242 
 soilDB-2.9.1/soilDB/R/fetchRaCA.R                                   |  402 -
 soilDB-2.9.1/soilDB/R/fetchSCAN.R                                   | 1197 ++--
 soilDB-2.9.1/soilDB/R/fetchSDA_spatial.R                            |  776 +-
 soilDB-2.9.1/soilDB/R/fetchSOLUS.R                                  |  730 +-
 soilDB-2.9.1/soilDB/R/fetchSRI.R                                    |  362 -
 soilDB-2.9.1/soilDB/R/fetchSoilGrids.R                              |  937 +--
 soilDB-2.9.1/soilDB/R/fetchVegdata.R                                |  203 
 soilDB-2.9.1/soilDB/R/filter_KSSL.R                                 |   88 
 soilDB-2.9.1/soilDB/R/getHzErrorsNASIS.R                            |   92 
 soilDB-2.9.1/soilDB/R/getHzErrorsPedonPC.R                          |   48 
 soilDB-2.9.1/soilDB/R/get_NASIS_table_key_by_name.R                 |  126 
 soilDB-2.9.1/soilDB/R/get_NASIS_table_name_by_purpose.R             |  478 -
 soilDB-2.9.1/soilDB/R/get_OSD.R                                     |  473 -
 soilDB-2.9.1/soilDB/R/get_RMF_from_NASIS_db.R                       |  136 
 soilDB-2.9.1/soilDB/R/get_SDA_NASIS_keys.R                          |  156 
 soilDB-2.9.1/soilDB/R/get_SDA_coecoclass.R                          |  641 +-
 soilDB-2.9.1/soilDB/R/get_SDA_cosurfmorph.R                         |  372 -
 soilDB-2.9.1/soilDB/R/get_SDA_hydric.R                              |  264 
 soilDB-2.9.1/soilDB/R/get_SDA_interpretation.R                      | 2042 +++----
 soilDB-2.9.1/soilDB/R/get_SDA_metrics.R                             |  124 
 soilDB-2.9.1/soilDB/R/get_SDA_muaggatt.R                            |  100 
 soilDB-2.9.1/soilDB/R/get_SDA_pmgroupname.R                         |  434 -
 soilDB-2.9.1/soilDB/R/get_SDA_property.R                            | 1538 ++---
 soilDB-2.9.1/soilDB/R/get_SSURGO_utils.R                            |  720 +-
 soilDB-2.9.1/soilDB/R/get_colors_from_NASIS_db.R                    |  286 -
 soilDB-2.9.1/soilDB/R/get_colors_from_pedon_db.R                    |  202 
 soilDB-2.9.1/soilDB/R/get_component_data_from_NASIS_db.R            | 1418 ++---
 soilDB-2.9.1/soilDB/R/get_component_from_GDB.R                      | 1552 ++---
 soilDB-2.9.1/soilDB/R/get_component_from_SDA.R                      | 2096 +++----
 soilDB-2.9.1/soilDB/R/get_concentrations_from_NASIS_db.R            |  107 
 soilDB-2.9.1/soilDB/R/get_cosoilmoist_from_NASIS.R                  |  146 
 soilDB-2.9.1/soilDB/R/get_cosoilmoist_from_NASISWebReport.R         |   98 
 soilDB-2.9.1/soilDB/R/get_cosoilmoist_from_SDA.R                    |   99 
 soilDB-2.9.1/soilDB/R/get_ecosite_history_from_NASIS_db.R           |   92 
 soilDB-2.9.1/soilDB/R/get_extended_data_from_NASIS_db.R             |  699 +-
 soilDB-2.9.1/soilDB/R/get_extended_data_from_pedon_db.R             |  286 -
 soilDB-2.9.1/soilDB/R/get_hz_data_from_NASIS_db.R                   |  157 
 soilDB-2.9.1/soilDB/R/get_hz_data_from_pedon_db.R                   |  168 
 soilDB-2.9.1/soilDB/R/get_lablayer_data_from_NASIS_db.R             |  122 
 soilDB-2.9.1/soilDB/R/get_labpedon_data_from_NASIS_db.R             |   78 
 soilDB-2.9.1/soilDB/R/get_mapunit_from_NASIS.R                      |  388 -
 soilDB-2.9.1/soilDB/R/get_phfmp_from_NASIS_db.R                     |   65 
 soilDB-2.9.1/soilDB/R/get_phlabresults_data_from_NASIS_db.R         |  277 -
 soilDB-2.9.1/soilDB/R/get_phroots_from_NASIS_db.R                   |  102 
 soilDB-2.9.1/soilDB/R/get_project_from_NASIS.R                      |  198 
 soilDB-2.9.1/soilDB/R/get_site_data_from_NASIS_db.R                 |  545 --
 soilDB-2.9.1/soilDB/R/get_site_data_from_pedon_db.R                 |  190 
 soilDB-2.9.1/soilDB/R/get_soilseries_from_NASIS.R                   |  253 
 soilDB-2.9.1/soilDB/R/get_text_notes_from_NASIS_db.R                |  368 -
 soilDB-2.9.1/soilDB/R/get_veg_data_from_NASIS_db.R                  |  145 
 soilDB-2.9.1/soilDB/R/get_veg_from_AK_Site.R                        |   88 
 soilDB-2.9.1/soilDB/R/get_veg_from_MT_veg_db.R                      |   84 
 soilDB-2.9.1/soilDB/R/get_veg_from_NPS_PLOTS_db.R                   |   78 
 soilDB-2.9.1/soilDB/R/get_veg_other_from_MT_veg_db.R                |   84 
 soilDB-2.9.1/soilDB/R/get_veg_species_from_MT_veg_db.R              |   80 
 soilDB-2.9.1/soilDB/R/get_vegplot_data_from_NASIS_db.R              | 1246 ++--
 soilDB-2.9.1/soilDB/R/mukey-WCS.R                                   |  534 +
 soilDB-2.9.1/soilDB/R/openNASISchannel.R                            |  188 
 soilDB-2.9.1/soilDB/R/parseWebReport.R                              |  246 
 soilDB-2.9.1/soilDB/R/seriesExtent.R                                |  308 -
 soilDB-2.9.1/soilDB/R/siblings.R                                    |  272 -
 soilDB-2.9.1/soilDB/R/simplifyArtifactData.R                        |  298 -
 soilDB-2.9.1/soilDB/R/simplifyColorData.R                           |  366 -
 soilDB-2.9.1/soilDB/R/simplifyFragmentData.R                        |  526 -
 soilDB-2.9.1/soilDB/R/soilColorWCS.R                                |  418 -
 soilDB-2.9.1/soilDB/R/soilDB-package.R                              |  325 -
 soilDB-2.9.1/soilDB/R/soilDB_user_dir.R                             |  127 
 soilDB-2.9.1/soilDB/R/taxaExtent.R                                  |  681 +-
 soilDB-2.9.1/soilDB/R/uncode.R                                      |  813 +--
 soilDB-2.9.1/soilDB/R/utils.R                                       | 2676 +++++-----
 soilDB-2.9.1/soilDB/R/waterDayYear.R                                |  110 
 soilDB-2.9.1/soilDB/build/partial.rdb                               |binary
 soilDB-2.9.1/soilDB/build/vignette.rds                              |binary
 soilDB-2.9.1/soilDB/data/gopheridge.R                               |only
 soilDB-2.9.1/soilDB/data/loafercreek.R                              |only
 soilDB-2.9.1/soilDB/data/mineralKing.R                              |only
 soilDB-2.9.1/soilDB/inst/CITATION                                   |   36 
 soilDB-2.9.1/soilDB/inst/WORDLIST                                   | 1570 ++---
 soilDB-2.9.1/soilDB/inst/doc/dominant-es.R                          |  288 -
 soilDB-2.9.1/soilDB/inst/doc/dominant-es.Rmd                        |  578 +-
 soilDB-2.9.1/soilDB/inst/doc/dominant-es.html                       | 1325 ++--
 soilDB-2.9.1/soilDB/inst/doc/fetchNASIS.R                           |  521 -
 soilDB-2.9.1/soilDB/inst/doc/fetchNASIS.Rmd                         |  555 +-
 soilDB-2.9.1/soilDB/inst/doc/fetchNASIS.html                        | 2538 ++++++++-
 soilDB-2.9.1/soilDB/inst/doc/local-ssurgo.R                         |  290 -
 soilDB-2.9.1/soilDB/inst/doc/local-ssurgo.Rmd                       |  612 +-
 soilDB-2.9.1/soilDB/inst/doc/local-ssurgo.html                      | 1357 ++---
 soilDB-2.9.1/soilDB/inst/doc/sda.R                                  |only
 soilDB-2.9.1/soilDB/inst/doc/sda.Rmd                                |only
 soilDB-2.9.1/soilDB/inst/doc/sda.html                               |only
 soilDB-2.9.1/soilDB/inst/doc/soilweb-data-functions.R               |only
 soilDB-2.9.1/soilDB/inst/doc/soilweb-data-functions.Rmd             |only
 soilDB-2.9.1/soilDB/inst/doc/soilweb-data-functions.html            |only
 soilDB-2.9.1/soilDB/inst/doc/wcs-ssurgo.R                           | 1202 ++--
 soilDB-2.9.1/soilDB/inst/doc/wcs-ssurgo.Rmd                         | 1708 +++---
 soilDB-2.9.1/soilDB/inst/doc/wcs-ssurgo.html                        | 2429 ++++-----
 soilDB-2.9.1/soilDB/inst/extdata                                    |only
 soilDB-2.9.1/soilDB/man/ISSR800.wcs.Rd                              |  108 
 soilDB-2.9.1/soilDB/man/KSSL_VG_model.Rd                            |  122 
 soilDB-2.9.1/soilDB/man/NASISChoiceList.Rd                          |  120 
 soilDB-2.9.1/soilDB/man/NASISDomainsAsFactor.Rd                     |   44 
 soilDB-2.9.1/soilDB/man/NASISLocalDatabase.Rd                       |   36 
 soilDB-2.9.1/soilDB/man/OSDquery.Rd                                 |  228 
 soilDB-2.9.1/soilDB/man/ROSETTA.Rd                                  |  205 
 soilDB-2.9.1/soilDB/man/SCAN_SNOTEL_metadata.Rd                     |   28 
 soilDB-2.9.1/soilDB/man/SDA_query.Rd                                |  165 
 soilDB-2.9.1/soilDB/man/SDA_spatialQuery.Rd                         |  472 -
 soilDB-2.9.1/soilDB/man/STRplot.Rd                                  |   88 
 soilDB-2.9.1/soilDB/man/SoilWeb_spatial_query.Rd                    |  110 
 soilDB-2.9.1/soilDB/man/WCS_details.Rd                              |   42 
 soilDB-2.9.1/soilDB/man/createSSURGO.Rd                             |  182 
 soilDB-2.9.1/soilDB/man/createStaticNASIS.Rd                        |   84 
 soilDB-2.9.1/soilDB/man/dbConnectNASIS.Rd                           |   44 
 soilDB-2.9.1/soilDB/man/dbQueryNASIS.Rd                             |   46 
 soilDB-2.9.1/soilDB/man/downloadSSURGO.Rd                           |  156 
 soilDB-2.9.1/soilDB/man/estimateColorMixture.Rd                     |   54 
 soilDB-2.9.1/soilDB/man/fetchGDB.Rd                                 |  192 
 soilDB-2.9.1/soilDB/man/fetchHWSD.Rd                                |  138 
 soilDB-2.9.1/soilDB/man/fetchHenry.Rd                               |  198 
 soilDB-2.9.1/soilDB/man/fetchKSSL.Rd                                |  262 
 soilDB-2.9.1/soilDB/man/fetchLDM.Rd                                 |  176 
 soilDB-2.9.1/soilDB/man/fetchNASIS.Rd                               |  249 
 soilDB-2.9.1/soilDB/man/fetchNASISLabData.Rd                        |   58 
 soilDB-2.9.1/soilDB/man/fetchNASISWebReport.Rd                      |  221 
 soilDB-2.9.1/soilDB/man/fetchOSD.Rd                                 |  249 
 soilDB-2.9.1/soilDB/man/fetchPedonPC.Rd                             |   78 
 soilDB-2.9.1/soilDB/man/fetchRaCA.Rd                                |  118 
 soilDB-2.9.1/soilDB/man/fetchSCAN.Rd                                |  250 
 soilDB-2.9.1/soilDB/man/fetchSDA.Rd                                 |  245 
 soilDB-2.9.1/soilDB/man/fetchSDA_spatial.Rd                         |  182 
 soilDB-2.9.1/soilDB/man/fetchSOLUS.Rd                               |  280 -
 soilDB-2.9.1/soilDB/man/fetchSRI.Rd                                 |   70 
 soilDB-2.9.1/soilDB/man/fetchSoilGrids.Rd                           |  370 -
 soilDB-2.9.1/soilDB/man/fetchVegdata.Rd                             |  258 
 soilDB-2.9.1/soilDB/man/filter_geochem.Rd                           |   68 
 soilDB-2.9.1/soilDB/man/format_SQL_in_statement.Rd                  |   46 
 soilDB-2.9.1/soilDB/man/getHzErrorsNASIS.Rd                         |   50 
 soilDB-2.9.1/soilDB/man/get_EDIT_ecoclass_by_geoUnit.Rd             |   52 
 soilDB-2.9.1/soilDB/man/get_NASIS_metadata.Rd                       |   90 
 soilDB-2.9.1/soilDB/man/get_NASIS_table_key_by_name.Rd              |   60 
 soilDB-2.9.1/soilDB/man/get_NASIS_table_metadata.Rd                 |   92 
 soilDB-2.9.1/soilDB/man/get_NASIS_table_name_by_purpose.Rd          |   82 
 soilDB-2.9.1/soilDB/man/get_NOAA_GHCND.Rd                           |   76 
 soilDB-2.9.1/soilDB/man/get_NOAA_stations_nearXY.Rd                 |   72 
 soilDB-2.9.1/soilDB/man/get_OSD.Rd                                  |   94 
 soilDB-2.9.1/soilDB/man/get_RMF_from_NASIS_db.Rd                    |   46 
 soilDB-2.9.1/soilDB/man/get_SDA_NASIS_key.Rd                        |  118 
 soilDB-2.9.1/soilDB/man/get_SDA_coecoclass.Rd                       |  173 
 soilDB-2.9.1/soilDB/man/get_SDA_cosurfmorph.Rd                      |  170 
 soilDB-2.9.1/soilDB/man/get_SDA_hydric.Rd                           |  114 
 soilDB-2.9.1/soilDB/man/get_SDA_interpretation.Rd                   | 1428 ++---
 soilDB-2.9.1/soilDB/man/get_SDA_metrics.Rd                          |   62 
 soilDB-2.9.1/soilDB/man/get_SDA_muaggatt.Rd                         |   68 
 soilDB-2.9.1/soilDB/man/get_SDA_pmgroupname.Rd                      |   98 
 soilDB-2.9.1/soilDB/man/get_SDA_property.Rd                         |  310 -
 soilDB-2.9.1/soilDB/man/get_SDV_legend_elements.Rd                  |   56 
 soilDB-2.9.1/soilDB/man/get_SRI.Rd                                  |  158 
 soilDB-2.9.1/soilDB/man/get_SRI_layers.Rd                           |   58 
 soilDB-2.9.1/soilDB/man/get_colors_from_NASIS_db.Rd                 |   78 
 soilDB-2.9.1/soilDB/man/get_colors_from_pedon_db.Rd                 |   50 
 soilDB-2.9.1/soilDB/man/get_comonth_from_NASIS_db.Rd                |   96 
 soilDB-2.9.1/soilDB/man/get_component_data_from_NASIS_db.Rd         |  196 
 soilDB-2.9.1/soilDB/man/get_cosoilmoist_from_NASIS.Rd               |  115 
 soilDB-2.9.1/soilDB/man/get_ecosite_history_from_NASIS_db.Rd        |   62 
 soilDB-2.9.1/soilDB/man/get_extended_data_from_NASIS_db.Rd          |  101 
 soilDB-2.9.1/soilDB/man/get_extended_data_from_pedon_db.Rd          |   50 
 soilDB-2.9.1/soilDB/man/get_hz_data_from_NASIS_db.Rd                |   71 
 soilDB-2.9.1/soilDB/man/get_hz_data_from_pedon_db.Rd                |   58 
 soilDB-2.9.1/soilDB/man/get_lablayer_data_from_NASIS_db.Rd          |   64 
 soilDB-2.9.1/soilDB/man/get_labpedon_data_from_NASIS_db.Rd          |   64 
 soilDB-2.9.1/soilDB/man/get_mapunit_from_NASIS.Rd                   |   95 
 soilDB-2.9.1/soilDB/man/get_phroots_from_NASIS_db.Rd                |   38 
 soilDB-2.9.1/soilDB/man/get_project_from_NASIS.Rd                   |   50 
 soilDB-2.9.1/soilDB/man/get_site_data_from_NASIS_db.Rd              |  117 
 soilDB-2.9.1/soilDB/man/get_site_data_from_pedon_db.Rd              |   50 
 soilDB-2.9.1/soilDB/man/get_soilDB_env.Rd                           |   52 
 soilDB-2.9.1/soilDB/man/get_soilseries_from_NASIS.Rd                |   99 
 soilDB-2.9.1/soilDB/man/get_text_notes_from_NASIS_db.Rd             |  110 
 soilDB-2.9.1/soilDB/man/get_veg_data_from_NASIS_db.Rd               |   66 
 soilDB-2.9.1/soilDB/man/get_veg_from_AK_Site.Rd                     |   50 
 soilDB-2.9.1/soilDB/man/get_veg_from_MT_veg_db.Rd                   |   52 
 soilDB-2.9.1/soilDB/man/get_veg_from_NPS_PLOTS_db.Rd                |   54 
 soilDB-2.9.1/soilDB/man/get_veg_other_from_MT_veg_db.Rd             |   52 
 soilDB-2.9.1/soilDB/man/get_veg_species_from_MT_veg_db.Rd           |   52 
 soilDB-2.9.1/soilDB/man/loafercreek.Rd                              |  162 
 soilDB-2.9.1/soilDB/man/local_NASIS_defined.Rd                      |   64 
 soilDB-2.9.1/soilDB/man/make_EDIT_service_URL.Rd                    |  184 
 soilDB-2.9.1/soilDB/man/metadata.Rd                                 |   52 
 soilDB-2.9.1/soilDB/man/mukey.wcs.Rd                                |  150 
 soilDB-2.9.1/soilDB/man/parseWebReport.Rd                           |   66 
 soilDB-2.9.1/soilDB/man/processSDA_WKT.Rd                           |   76 
 soilDB-2.9.1/soilDB/man/seriesExtent.Rd                             |  130 
 soilDB-2.9.1/soilDB/man/siblings.Rd                                 |  124 
 soilDB-2.9.1/soilDB/man/simplifyColorData.Rd                        |  102 
 soilDB-2.9.1/soilDB/man/simplifyFragmentData.Rd                     |  138 
 soilDB-2.9.1/soilDB/man/soilColor.wcs.Rd                            |  108 
 soilDB-2.9.1/soilDB/man/soilDB-package.Rd                           |   42 
 soilDB-2.9.1/soilDB/man/soilDB_user_dir.Rd                          |  124 
 soilDB-2.9.1/soilDB/man/taxaExtent.Rd                               |  480 -
 soilDB-2.9.1/soilDB/man/uncode.Rd                                   |  147 
 soilDB-2.9.1/soilDB/man/waterDayYear.Rd                             |   74 
 soilDB-2.9.1/soilDB/tests/testthat.R                                |   12 
 soilDB-2.9.1/soilDB/tests/testthat/test-ISSR800.R                   |  193 
 soilDB-2.9.1/soilDB/tests/testthat/test-OSDquery.R                  |   85 
 soilDB-2.9.1/soilDB/tests/testthat/test-ROSETTA.R                   |  335 -
 soilDB-2.9.1/soilDB/tests/testthat/test-SDA_query.R                 |  642 +-
 soilDB-2.9.1/soilDB/tests/testthat/test-SoilDataViewer.R            |   58 
 soilDB-2.9.1/soilDB/tests/testthat/test-aqp_data.R                  |   38 
 soilDB-2.9.1/soilDB/tests/testthat/test-dbQueryNASIS.R              |   64 
 soilDB-2.9.1/soilDB/tests/testthat/test-estimateColorMixture.R      |   94 
 soilDB-2.9.1/soilDB/tests/testthat/test-estimateSTR.R               |   86 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchEDIT_tools.R           |   92 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchHenry.R                |  412 -
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchKSSL.R                 |  400 -
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchLDM.R                  |  132 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchNASIS.R                |  310 -
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchNASISLabData.R         |   94 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchNASISWebReport.R       |  198 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchOSD.R                  |  286 -
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSCAN.R                 |  154 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSDA.R                  |only
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSDA_spatial.R          |  184 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSOLUS.R                |  206 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSRI.R                  |   92 
 soilDB-2.9.1/soilDB/tests/testthat/test-fetchSoilGrids.R            |   87 
 soilDB-2.9.1/soilDB/tests/testthat/test-get_OSD.R                   |  126 
 soilDB-2.9.1/soilDB/tests/testthat/test-get_SDA_coecoclass.R        |  121 
 soilDB-2.9.1/soilDB/tests/testthat/test-get_SDA_cosurfmorph.R       |   65 
 soilDB-2.9.1/soilDB/tests/testthat/test-get_SDA_hydric.R            |   66 
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Package INLAtools updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-29

Title: Functionalities for the 'INLA' Package
Description: Contain code to work with a C struct, in short cgeneric, to define a Gaussian Markov random (GMRF) model. The cgeneric contain code to specify GMRF elements such as the graph and the precision matrix, and also the initial and prior for its parameters, useful for model inference. It can be accessed from a C program and is the recommended way to implement new GMRF models in the 'INLA' package (<https://www.r-inla.org>). The 'INLAtools' implement functions to evaluate each one of the model specifications from R. The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. The `generic0` can be used to implement intrinsic models with the scaling as proposed in Sørbye & Rue (2014) <doi:10.1016/j.spasta.2013.06.004>, and the required contraints. A very useful functionality is the Kronecker product method that creates a new model from multiple cgeneric mo [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

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Package educabR updated to version 0.9.0 with previous version 0.1.3 dated 2026-03-05

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da Educação Básica), Higher Education Census (Censo da Educação Superior), ENADE (Exame Nacional de Desempenho dos Estudantes), ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos), IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado), CPC (Conceito Preliminar de Curso), IGC (Índice Geral de Cursos), CAPES graduate education data, FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

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Package stars updated to version 0.7-2 with previous version 0.7-1 dated 2026-02-13

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package gpkg updated to version 0.0.14 with previous version 0.0.12 dated 2025-03-16

Title: Utilities for the Open Geospatial Consortium 'GeoPackage' Format
Description: Build Open Geospatial Consortium 'GeoPackage' files (<https://www.geopackage.org/>). 'GDAL' utilities for reading and writing spatial data are provided by the 'terra' package. Additional 'GeoPackage' and 'SQLite' features for attributes and tabular data are implemented with the 'RSQLite' package.
Author: Andrew Brown [aut, cre]
Maintainer: Andrew Brown <brown.andrewg@gmail.com>

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Package ggseg.formats updated to version 0.0.2 with previous version 0.0.1 dated 2026-02-18

Title: Brain Atlas Data Structures for the 'ggseg' Ecosystem
Description: Provides the 'ggseg_atlas' S3 class used across the 'ggseg' ecosystem for 2D and 3D brain visualisation. Ships three bundled atlases ('Desikan-Killiany', 'FreeSurfer' 'aseg', 'TRACULA') and functions for querying, subsetting, renaming, and enriching atlas objects. Also includes readers for 'FreeSurfer' statistics files.
Author: Athanasia Mo Mowinckel [aut, cre] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package CDMConnector updated to version 2.5.1 with previous version 2.5.0 dated 2026-03-08

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Adam Black <ablack3@gmail.com>

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Package backports updated to version 1.5.1 with previous version 1.5.0 dated 2024-05-23

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] , Duncan Murdoch [aut], R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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Thu, 02 Apr 2026

Package unitrootests updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-27

Title: Comprehensive Unit Root and Stationarity Tests
Description: A unified framework for unit root and stationarity testing including quantile ADF tests (Koenker and Xiao, 2004) <doi:10.1198/016214504000001114>, GARCH-based unit root tests with endogenous structural breaks (Narayan and Liu, 2015) <doi:10.1016/j.eneco.2014.11.021>, and comprehensive Dickey-Fuller, Phillips-Perron, KPSS, ERS/DF-GLS, Zivot-Andrews, and Kobayashi-McAleer tests with an Elder-Kennedy decision strategy (Elder and Kennedy, 2001) <doi:10.1080/00220480109595179>.
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>

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Package RapidoPGS readmission to version 2.3.2 with previous version 2.3.1 dated 2025-02-19

Title: A Fast and Light Package to Compute Polygenic Risk Scores
Description: Quickly computes polygenic scores from GWAS summary statistics of either case-control or quantitative traits without parameter tuning. Reales,G., Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392> "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset".
Author: Guillermo Reales [aut, cre] , Chris Wallace [aut] , Olly Burren [ctb]
Maintainer: Guillermo Reales <grealesm@gmail.com>

This is a re-admission after prior archival of version 2.3.1 dated 2025-02-19

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Package INLAvaan updated to version 0.2.4 with previous version 0.2.3 dated 2026-01-28

Title: Approximate Bayesian Latent Variable Analysis
Description: Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x> as described in Jamil and Rue (2026a) <doi:10.48550/arXiv.2603.25690>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the 'lavaan' syntax. See also the companion paper on implementation and workflows, Jamil and Rue (2026b) <doi:10.48550/arXiv.2604.00671>.
Author: Haziq Jamil [aut, cre, cph] , Havard Rue [ctb] , Alvin Bong [ctb]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>

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Package bayesQRsurvey updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-27

Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>

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Package aboveR updated to version 1.0.0 with previous version 0.1.0 dated 2026-03-19

Title: 'LiDAR' Terrain Analysis and Change Detection from Above
Description: Terrain change detection, cut and fill volume estimation, terrain profiling, flood inundation analysis, slope and aspect computation, hillshade generation, contour extraction, reclamation monitoring, erosion analysis, and engineering export (LandXML, STL) from 'LiDAR' (Light Detection and Ranging) point clouds and digital elevation models ('DEMs'). Applications include surface mine reclamation monitoring, sediment pond capacity tracking, highwall safety classification, and erosion channel detection. Built on 'lidR' for point cloud I/O and 'terra' for raster operations. Includes access utilities for 'KyFromAbove' cloud-native elevation data on Amazon Web Services ('AWS') <https://kyfromabove.ky.gov/>. Methods for terrain change detection and volume estimation follow Li and others (2005) <doi:10.1016/j.geomorph.2004.10.007>.
Author: Chris Lyons [aut, cre]
Maintainer: Chris Lyons <chris.lyons@ky.gov>

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Package radEmu updated to version 2.3.2.0 with previous version 2.3.1.0 dated 2026-03-26

Title: Using Relative Abundance Data to Estimate of Multiplicative Differences in Mean Absolute Abundance
Description: A differential abundance method for the analysis of microbiome data. 'radEmu' estimates fold-differences in the abundance of taxa across samples relative to "typical" fold-differences. Notably, it does not require pseudocounts, nor choosing a denominator taxon. For more details, see Clausen et al. (2026) <doi:10.1093/biomet/asag009>.
Author: David Clausen [aut], Amy D Willis [aut, cre] , Sarah Teichman [aut]
Maintainer: Amy D Willis <adwillis@uw.edu>

Diff between radEmu versions 2.3.1.0 dated 2026-03-26 and 2.3.2.0 dated 2026-04-02

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Package propertee updated to version 1.0.5 with previous version 1.0.4 dated 2026-01-23

Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.
Author: Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer: Josh Errickson <jerrick@umich.edu>

Diff between propertee versions 1.0.4 dated 2026-01-23 and 1.0.5 dated 2026-04-02

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Package adsasi updated to version 0.9.0.2 with previous version 0.9.0.1 dated 2026-02-01

Title: Adaptive Sample Size Simulator
Description: A simulations-first sample size determination package that aims at making sample size formulae obsolete for most easily computable statistical experiments ; the main envisioned use case is clinical trials. The proposed clinical trial must be written by the user in the form of a function that takes as argument a sample size and returns a boolean (for whether or not the trial is a success). The 'adsasi' functions will then use it to find the correct sample size empirically. The unavoidable mis-specification is obviated by trying sample size values close to the right value, the latter being understood as the value that gives the probability of success the user wants (usually 80 or 90% in biostatistics, corresponding to 20 or 10% type II error).
Author: Skerdi Haviari [aut, cre]
Maintainer: Skerdi Haviari <skerdi.haviari@aphp.fr>

Diff between adsasi versions 0.9.0.1 dated 2026-02-01 and 0.9.0.2 dated 2026-04-02

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New package syntheticdata with initial version 0.1.0
Package: syntheticdata
Title: Synthetic Clinical Data Generation and Privacy-Preserving Validation
Version: 0.1.0
Description: Generates synthetic clinical datasets that preserve statistical properties while reducing re-identification risk. Implements Gaussian copula simulation, bootstrap with noise injection, and Laplace noise perturbation, with built-in utility and privacy validation metrics. Useful for privacy-aware data sharing in multi-site clinical research. Validates synthetic data quality via distributional similarity (Kolmogorov-Smirnov), discriminative accuracy (real-vs-synthetic classifier), and nearest-neighbor privacy ratio. Methods described in Jordon et al. (2022) <doi:10.48550/arXiv.2205.03257> and Snoke et al. (2018) <doi:10.1111/rssa.12358>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/syntheticdata
BugReports: https://github.com/CuiweiG/syntheticdata/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), stats, tibble (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-30 12:09:41 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:20:02 UTC

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New package survinger with initial version 0.1.0
Package: survinger
Title: Design-Adjusted Inference for Pathogen Lineage Surveillance
Version: 0.1.0
Description: Provides tools for optimizing sequencing resource allocation and estimating pathogen lineage prevalence under real-world genomic surveillance conditions. Implements constrained allocation optimization for limited sequencing capacity across multiple regions and sample sources. Includes Horvitz-Thompson and post-stratified estimators that account for unequal sequencing rates, delay-adjusted nowcasting for right-censored reporting data, and combined design-weighted delay-corrected inference with uncertainty propagation.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/survinger
BugReports: https://github.com/CuiweiG/survinger/issues
Depends: R (>= 4.1.0)
Imports: checkmate (>= 2.0.0), cli (>= 3.0.0), dplyr (>= 1.1.0), generics, ggplot2 (>= 3.4.0), methods, purrr, rlang (>= 1.0.0), stats, tibble
Suggests: MASS, Matrix, nloptr (>= 2.0.0), survey, tidyr, vctrs, covr, knitr, rmarkdown, scales, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 11:34:05 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:10:02 UTC

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New package rjd3workspace with initial version 3.7.1
Package: rjd3workspace
Title: Wrangling 'JDemetra+ 3.x' Workspace
Version: 3.7.1
Description: R Interface to 'JDemetra+ 3.x'(<https://github.com/jdemetra>). It offers several functions to manipulate 'JDemetra+' workspaces, which can be read by the software and can store several seasonal adjusted series along with user-defined calendars or regression variables.
License: EUPL
URL: https://github.com/rjdverse/rjd3workspace, https://rjdverse.github.io/rjd3workspace/
BugReports: https://github.com/rjdverse/rjd3workspace/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3providers (>= 3.7.1), rjd3toolkit (>= 3.7.1), rjd3tramoseats (>= 3.7.1), rjd3x13 (>= 3.7.1), tools, utils, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: Java (>= 21)
NeedsCompilation: no
Packaged: 2026-03-30 13:52:53 UTC; onyxia
Author: Jean Palate [aut], Alain Quartier-la-Tente [aut] , Tanguy Barthelemy [aut, cre, art], Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-02 20:30:02 UTC

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New package MyoScore with initial version 1.0.1
Package: MyoScore
Title: Transcriptomic Scoring for Human Skeletal Muscle Health
Version: 1.0.1
Description: Calculate MyoScore, a genetically informed muscle health score, from bulk RNA sequencing (RNA-seq) raw count data. MyoScore integrates results from genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) across 28 muscle-related phenotypes to quantify muscle health along five dimensions (Strength, Mass, LeanMuscle, Youth, Resilience), each scored from 0 to 100. The package provides preprocessing via counts per million (CPM) normalization, dimension-level and composite scoring, and visualization utilities including radar charts and grouped boxplots. For more information, see <https://github.com/Hirriririir/MyoScore>.
License: MIT + file LICENSE
URL: https://github.com/Hirriririir/MyoScore
BugReports: https://github.com/Hirriririir/MyoScore/issues
Depends: R (>= 4.0.0)
Imports: stats, utils, graphics, grDevices
Suggests: ggplot2 (>= 3.4.0), fmsb, patchwork, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-29 18:27:25 UTC; hua
Author: Huahua Zhong [aut, cre]
Maintainer: Huahua Zhong <huahuazhong@fudan.edu.cn>
Repository: CRAN
Date/Publication: 2026-04-02 20:30:10 UTC

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New package clinicalfair with initial version 0.1.0
Package: clinicalfair
Title: Algorithmic Fairness Assessment for Clinical Prediction Models
Version: 0.1.0
Description: Post-hoc fairness auditing toolkit for clinical prediction models. Unlike in-processing approaches that modify model training, this package evaluates existing models by computing group-wise fairness metrics (demographic parity, equalized odds, predictive parity, calibration disparity), visualizing disparities across protected attributes, and performing threshold-based mitigation. Supports intersectional analysis across multiple attributes and generates audit reports useful for fairness-oriented auditing in clinical AI settings. Methods described in Obermeyer et al. (2019) <doi:10.1126/science.aax2342> and Hardt, Price, and Srebro (2016) <doi:10.48550/arXiv.1610.02413>.
License: MIT + file LICENSE
URL: https://github.com/CuiweiG/clinicalfair
BugReports: https://github.com/CuiweiG/clinicalfair/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, tibble (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-30 12:34:39 UTC; openclaw
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 20:10:09 UTC

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Package ssaBSS updated to version 0.1.2 with previous version 0.1.1 dated 2022-12-01

Title: Stationary Subspace Analysis
Description: Stationary subspace analysis (SSA) is a blind source separation (BSS) variant where stationary components are separated from non-stationary components. Several SSA methods for multivariate time series are provided here (Flumian et al. (2024) <doi:10.1016/j.cam.2023.115379>; Hara et al. (2010) <doi:10.1007/978-3-642-17537-4_52>) along with functions to simulate time series with time-varying variance and autocovariance (Patilea and Raissi(2014) <doi:10.1080/01621459.2014.884504>).
Author: Markus Matilainen [cre, aut] , Lea Flumian [aut], Klaus Nordhausen [aut] , Sara Taskinen [aut]
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

Diff between ssaBSS versions 0.1.1 dated 2022-12-01 and 0.1.2 dated 2026-04-02

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New package pepdiff with initial version 1.0.0
Package: pepdiff
Title: Differential Abundance Analysis for Phosphoproteomics Data
Version: 1.0.0
Author: Dan MacLean [aut, cre]
Description: Provides tools for analyzing differential abundance in proteomics experiments. Implements S3 classes for data management and supports Generalized Linear Models (GLM; Nelder and Wedderburn (1972) <doi:10.2307/2344614>), Aligned Rank Transform (ART; Wobbrock et al. (2011) <doi:10.1145/1978942.1978963>), and pairwise test methods for statistical analysis. Includes visualization functions for Principal Component Analysis (PCA), volcano plots, and heatmaps.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tidyr, tibble, rlang, readr, ggplot2, cowplot, emmeans, ARTool, stats, magrittr, stringr, forcats, grid
Suggests: ComplexHeatmap, UpSetR, RColorBrewer, viridis, circlize, factoextra, RankProd, MKinfer, testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 12:23:29 UTC; macleand
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-02 20:00:02 UTC

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Package epiworldRcalibrate updated to version 0.1.4 with previous version 0.1.2 dated 2026-02-18

Title: Fast and Effortless Calibration of Agent-Based Models using Machine Learning
Description: Provides tools and pre-trained Machine Learning [ML] models for calibration of Agent-Based Models [ABMs] built with the R package 'epiworldR'. Implements methods described in Najafzadehkhoei, Vega Yon, Modenesi, and Meyer (2025) <doi:10.48550/arXiv.2509.07013>. Users can automatically calibrate ABMs in seconds with pre-trained ML models, effectively focusing on simulation rather than calibration. Bridges a gap by allowing public health practitioners to run their own ABMs without the advanced technical expertise often required by calibration.
Author: Sima Najafzadehkhoei [aut, cre] , George Vega Yon [aut] , Jake Wagoner [aut], Bernardo Modenesi [aut], Centers for Disease Control and Prevention [fnd]
Maintainer: Sima Najafzadehkhoei <sima.njf@utah.edu>

Diff between epiworldRcalibrate versions 0.1.2 dated 2026-02-18 and 0.1.4 dated 2026-04-02

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New package baskoptr with initial version 1.0.4
Package: baskoptr
Title: Utility-Based Optimization for Basket Trial Designs
Version: 1.0.4
Description: A unified framework for optimizing basket trial designs. To this end, the package supplies several utility functions and also a function for executing optimization algorithms on basket trial designs. The considered utility functions are discussed in Sauer et al. (2025) <doi:10.1371/journal.pone.0323097>.
License: MIT + file LICENSE
Imports: baskwrap (>= 1.0.1), future.apply
Suggests: optimizr (>= 1.0.0), baskexact (>= 1.0.0), testthat (>= 3.0.0), progressr, basksim (>= 2.0.0)
URL: https://github.com/LukasDSauer/baskoptr
BugReports: https://github.com/LukasDSauer/baskoptr/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-20 10:04:09 UTC; or415
Author: Lukas D Sauer [aut, cre]
Maintainer: Lukas D Sauer <sauer@imbi.uni-heidelberg.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-04-02 20:00:09 UTC

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Package mrgsim.sa updated to version 0.3.0 with previous version 0.2.0 dated 2023-12-08

Title: Sensitivity Analysis with 'mrgsolve'
Description: Perform sensitivity analysis on ordinary differential equation based models, including ad-hoc graphical analyses based on structured sequences of parameters as well as local sensitivity analysis. Functions are provided for creating inputs, simulating scenarios and plotting outputs.
Author: Kyle Baron [aut, cre]
Maintainer: Kyle Baron <kylebtwin@imap.cc>

Diff between mrgsim.sa versions 0.2.0 dated 2023-12-08 and 0.3.0 dated 2026-04-02

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Package staggR updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-14

Title: Fit Difference-in-Differences Models with Staggered Interventions
Description: Fits linear difference-in-differences models in scenarios where intervention roll-outs are staggered over time. The package implements a version of an approach proposed by Sun and Abraham (2021) <doi:10.1016/j.jeconom.2020.09.006> to estimate cohort- and time-since-treatment specific difference-in-differences parameters, and it provides convenience functions both for specifying the model and for flexibly aggregating coefficients to answer a variety of research questions.
Author: Kyle Hart [aut, cre, cph] , Stephan Lindner [aut]
Maintainer: Kyle Hart <hartky@ohsu.edu>

Diff between staggR versions 0.1.1 dated 2026-01-14 and 0.2.0 dated 2026-04-02

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Package SingleCaseES updated to version 0.7.4 with previous version 0.7.3 dated 2024-09-07

Title: A Calculator for Single-Case Effect Sizes
Description: Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Author: James E. Pustejovsky [aut, cre], Man Chen [aut], Daniel M. Swan [aut], Paulina Grekov [ctb], Amy Cai [ctb]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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More information about SingleCaseES at CRAN
Permanent link

Package ravecore updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-23

Title: Core File Structures and Workflows for 'RAVE'
Description: Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in 'RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from 'Matlab' data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and 'FreeSurfer' formats, providing brain imaging normalization to template brain, facilitating 'threeBrain' package for comprehensive electrode localization via 'YAEL' (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).
Author: Zhengjia Wang [aut, cre] , Xiang Zhang [aut], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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More information about ravecore at CRAN
Permanent link

Package n1qn1 updated to version 6.0.1-13 with previous version 6.0.1-12 dated 2024-09-17

Title: Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization
Description: Provides 'Scilab' 'n1qn1'. This takes more memory than traditional L-BFGS. The n1qn1 routine is useful since it allows prespecification of a Hessian. If the Hessian is near enough the truth in optimization it can speed up the optimization problem. The algorithm is described in the 'Scilab' optimization documentation located at <https://www.scilab.org/sites/default/files/optimization_in_scilab.pdf>. This version uses manually modified code from 'f2c' to make this a C only binary.
Author: Matthew Fidler [aut, cre], Wenping Wang [aut], Claude Lemarechal [aut, ctb], Joseph Bonnans [ctb], Bill Denney [ctb] , Jean-Charles Gilbert [ctb], Claudia Sagastizabal [ctb], Stephen L. Campbell, [ctb], Jean-Philippe Chancelier [ctb], Ramine Nikoukha [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package JMH updated to version 1.0.4 with previous version 1.0.3 dated 2024-02-20

Title: Joint Model of Heterogeneous Repeated Measures and Survival Data
Description: Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and longitudinal data in the presence of heterogeneous within-subject variability, proposed by Li and colleagues (2023) <doi:10.48550/arXiv.2506.12741>. The proposed method models the within-subject variability of the biomarker and associates it with the risk of the competing risks event. The time-to-event data is modeled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal outcome is modeled using a mixed-effects location and scale model. The association is captured by shared random effects. The model is estimated using an Expectation Maximization algorithm. This is the final release of the 'JMH' package. Active development has been moved to the 'FastJM' package, which provides improved functionality and ongoing support. Users are strongly encouraged to transition to 'FastJM'.
Author: Shanpeng Li [aut, cre], Gang Li [ctb]
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>

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More information about JMH at CRAN
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Package GENEAcore updated to version 1.2.0 with previous version 1.1.2 dated 2025-11-21

Title: Pre-Processing of 'GENEActiv' Data
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>

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Package fpeek updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-09

Title: Check Text Files Content at a Glance
Description: Tools to help text files importation. It can return the number of lines; print the first and last lines; convert encoding; guess delimiters and file encoding. Operations are made without reading the entire file before starting, resulting in good performances with large files. This package provides an alternative to a simple use of the 'head', 'tail', 'wc' and 'iconv' programs that are not always available on machine where R is installed.
Author: David Gohel [aut, cre]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package easybgm updated to version 0.4.0 with previous version 0.3.1 dated 2025-12-08

Title: Extracting and Visualizing Bayesian Graphical Models
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM', as well as network comparison tests fitted using the packages 'bgms' and 'BBGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb], Nikola Sekulovski [ctb], Gali Geller [ctb]
Maintainer: Karoline Huth <k.huth@uva.nl>

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Package recipes updated to version 1.3.2 with previous version 1.3.1 dated 2025-05-21

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package kstMatrix updated to version 2.3-1 with previous version 2.3-0 dated 2026-02-28

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces developed by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package ucminf updated to version 1.2.3 with previous version 1.2.2 dated 2024-06-24

Title: General-Purpose Unconstrained Non-Linear Optimization
Description: An algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of 'ucminf' is designed for easy interchange with 'optim'.
Author: K Herve Dakpo [ctb, cre], Hans Bruun Nielsen [aut], Stig Bousgaard Mortensen [aut]
Maintainer: K Herve Dakpo <k-herve.dakpo@inrae.fr>

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Package tsBSS updated to version 1.0.1 with previous version 1.0.0 dated 2021-07-10

Title: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility and supervised dimension reduction problem for multivariate time series. Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace. The package is fully described in Nordhausen, Matilainen, Miettinen, Virta and Taskinen (2021) <doi:10.18637/jss.v098.i15>.
Author: Markus Matilainen [cre, aut] , Christophe Croux [aut], Jari Miettinen [aut] , Klaus Nordhausen [aut] , Hannu Oja [aut], Sara Taskinen [aut] , Joni Virta [aut]
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

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Package GitStats updated to version 2.5.0 with previous version 2.4.0 dated 2026-03-17

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Package geofi updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-02

Title: Access Finnish Geospatial Data
Description: Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.
Author: Markus Kainu [aut, cre] , Joona Lehtomaki [aut] , Juuso Parkkinen [ctb] , Jani Miettinen [ctb], Pyry Kantanen [ctb], Sampo Vesanen [ctb], Leo Lahti [aut]
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

Diff between geofi versions 1.2.0 dated 2026-03-02 and 1.2.1 dated 2026-04-02

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Package f1pits updated to version 1.2.0 with previous version 0.2.0 dated 2026-03-08

Title: F1 Pit Stop Datasets
Description: Formula 1 pit stop data. The package provides information on teams and drivers across seasons (2019 or higher). It also includes a function to visualize pit stop performance.
Author: Jose Jordan-Soria [aut, cre]
Maintainer: Jose Jordan-Soria <jjose.jjordan@gmail.com>

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Package declared updated to version 0.26 with previous version 0.25 dated 2024-09-08

Title: Functions for Declared Missing Values
Description: A zero dependency package containing functions to declare labels and missing values, coupled with associated functions to create (weighted) tables of frequencies and various other summary measures. Some of the base functions have been rewritten to make use of the specific information about the missing values, most importantly to distinguish between empty NA and declared NA values. Some functions have similar functionality with the corresponding ones from packages "haven" and "labelled". The aim is to ensure as much compatibility as possible with these packages, while offering an alternative in the objects of class "declared".
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package allcontributors updated to version 0.2.3 with previous version 0.2.2 dated 2024-10-23

Title: Acknowledge all Contributors to a Project
Description: Acknowledge all contributors to a project via a single function call. The function appends to a 'README' or other specified file(s) a table with names of all individuals who contributed via code or repository issues. The package also includes several additional functions to extract and quantify contributions to any repository.
Author: Mark Padgham [aut, cre], Chris Hartgerink [aut], Maelle Salmon [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package thisutils updated to version 0.4.4 with previous version 0.4.3 dated 2026-03-06

Title: Collection of Utility Functions for Data Analysis and Computing
Description: Provides utility functions for data analysis and computing. Includes functions for logging, parallel processing, and other computational tasks to streamline workflows.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package rlas updated to version 1.8.5 with previous version 1.8.4 dated 2026-01-29

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

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Package mlr3 updated to version 1.6.0 with previous version 1.5.0 dated 2026-02-27

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [ctb] , [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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More information about mlr3 at CRAN
Permanent link

Package meta updated to version 8.3-0 with previous version 8.2-1 dated 2025-09-01

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - logistic regression with penalised likelihood for rare events; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval and density of the prediction distribution; - expected proportion of comparable studies with clinically important benefit or harm; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

Diff between meta versions 8.2-1 dated 2025-09-01 and 8.3-0 dated 2026-04-02

 DESCRIPTION                |   20 
 MD5                        |  321 +++---
 NAMESPACE                  |   12 
 NEWS.md                    |  102 +
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 R/bracket.longarm.R        |    6 
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 R/bubble.R                 |    8 
 R/caffeine.R               |    8 
 R/catmeth-internal.R       |   40 
 R/catmeth.R                |  298 ++---
 R/ci.R                     |   15 
 R/cidprop.R                |  141 +-
 R/compsplit.R              |    2 
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 R/gs.R                     |    1 
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 R/labbe.R                  |  186 +--
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 R/print.metacum.R          |   12 
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 R/read.rm5-internal.R      |  484 ++++-----
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 R/settings.meta.R          |  459 ++++----
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 R/subset.longarm.R         |   21 
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 R/summary.meta.R           |  114 +-
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 build/vignette.rds         |binary
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 inst/doc/meta-tutorial.pdf |binary
 inst/doc/meta-workflow.pdf |binary
 man/amlodipine.Rd          |   10 
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 man/cidprop.Rd             |   12 
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 man/forest.meta.Rd         |  183 ++-
 man/forest.metabind.Rd     |   12 
 man/forest.metacum.Rd      |   14 
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 163 files changed, 10728 insertions(+), 10155 deletions(-)

More information about meta at CRAN
Permanent link

Package lidR updated to version 4.3.0 with previous version 4.2.3 dated 2026-01-08

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between lidR versions 4.2.3 dated 2026-01-08 and 4.3.0 dated 2026-04-02

 DESCRIPTION                                     |    8 -
 MD5                                             |   78 ++++++++++++-------
 NAMESPACE                                       |    4 
 NEWS.md                                         |    8 +
 R/RcppExports.R                                 |    8 +
 R/algorithm-dsm.R                               |   97 ++++++++++++++++++++++++
 R/algorithm-gnd.R                               |   84 ++++++++++++++++++++
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Package CFtime updated to version 1.7.3 with previous version 1.7.2 dated 2025-11-12

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cf-convention.github.io/Data/cf-conventions/cf-conventions-1.13/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package thisplot updated to version 0.3.7 with previous version 0.3.6 dated 2026-03-07

Title: Utility Functions for Plotting
Description: Provides utility functions for plotting. Includes functions for color manipulation, plot customization, panel size control, data optimization for plots, and layout adjustments.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package spatstat updated to version 3.6-0 with previous version 3.5-1 dated 2026-02-01

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package openair updated to version 3.0.0 with previous version 2.19.0 dated 2025-08-28

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.
Author: David Carslaw [aut, cre] , Jack Davison [aut] , Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Permanent link

Package inkaR readmission to version 0.6.2 with previous version 0.6.1 dated 2026-03-17

Title: Download and Analyze Spatial Development Data from 'INKAR'
Description: A professional R interface to download and analyze spatial development indicators from the 'BBSR' 'INKAR' (Indikatoren und Karten zur Raum- und Stadtentwicklung) database. Features a bilingual interactive wizard, fuzzy search, multi-indicator downloads with automatic tidy merging (long/wide), robust disk caching, and premium 'ggplot2' themes for regional mapping.
Author: Omer Furkan Coban [aut, cre]
Maintainer: Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>

This is a re-admission after prior archival of version 0.6.1 dated 2026-03-17

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Package ICtest updated to version 0.3-7 with previous version 0.3-6 dated 2025-05-27

Title: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
Description: For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.
Author: Klaus Nordhausen [aut, cre] , Hannu Oja [aut] , Katariina Perkonoja [aut] , David E. Tyler [aut], Joni Virta [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

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Package deduped updated to version 0.4.0 with previous version 0.3.0 dated 2025-11-29

Title: Making "Deduplicated" Functions
Description: Contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end.
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>

Diff between deduped versions 0.3.0 dated 2025-11-29 and 0.4.0 dated 2026-04-02

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Package rio updated to version 1.3.0 with previous version 1.2.4 dated 2025-09-26

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data format from the file extension, reasonable defaults are used for data import and export, web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut], Chung-hong Chan [aut, cre] , David Schoch [aut] , Geoffrey CH Chan [ctb], Thomas J. Leeper [aut] , Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between rio versions 1.2.4 dated 2025-09-26 and 1.3.0 dated 2026-04-02

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New package shinyreprex with initial version 0.1.0
Package: shinyreprex
Title: Reproducible Code for 'Shiny' Objects
Version: 0.1.0
Description: Provides functionality to extract reactive expressions from a 'shiny' application and convert them into stand-alone R scripts. This enables users to reproduce tables and visualisations outside the interactive UI, facilitating integration into static reports or automated workflows without requiring access to the original application source code.
License: MIT + file LICENSE
URL: https://github.com/AscentSoftware/shinyreprex, https://ascentsoftware.github.io/shinyreprex/
BugReports: https://github.com/AscentSoftware/shinyreprex/issues
Depends: R (>= 4.3.0)
Imports: S7, constructive, purrr, rlang, styler
Suggests: knitr, rmarkdown, shiny, spelling, testthat (>= 3.0.0)
Language: en-GB
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 09:01:48 UTC; ashley.baldry
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <ashley.baldry@acuityanalytics.com>
Repository: CRAN
Date/Publication: 2026-04-02 08:00:02 UTC

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New package rescomp with initial version 1.0.0
Package: rescomp
Title: Efficient Modelling of Resource Competition
Version: 1.0.0
URL: https://github.com/pyrrhicpachyderm/rescomp
Description: Generate, simulate and visualise ODE models of consumer-resource interactions. At its core, 'rescomp' provides a resource competition modelling focused interface to 'deSolve', alongside flexible functions for visualising model properties and dynamics. More information, documentation and examples can be found on the package website.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, tidyr, deSolve, rlang, stats, cli, glue
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 04:29:45 UTC; christopher
Author: Christopher R P Brown [aut, cre] , Jan Engelstaedter [aut] , Andrew Letten [aut]
Maintainer: Christopher R P Brown <c.r.brown@uq.edu.au>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:02 UTC

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New package refundBayes with initial version 0.5
Package: refundBayes
Encoding: UTF-8
Title: Bayesian Regression with Functional Data
Version: 0.5
Depends: R (>= 3.6.0)
Imports: brms, dplyr, ggplot2 (>= 2.0.0), mgcv, refund, rstan (>= 2.29.0), splines2, stats
Description: Bayesian regression with functional data, including regression with scalar, survival, or functional outcomes. The package allows regression with scalar and functional predictors. Methods are described in Jiang et al. (2025) "Tutorial on Bayesian Functional Regression Using Stan" <doi:10.1002/sim.70265>.
NeedsCompilation: no
BugReports: https://github.com/ZirenJiang/refundBayes/issues
License: GPL-2
URL: https://github.com/ZirenJiang/refundBayes
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-03-30 00:49:08 UTC; 12805
Author: Ziren Jiang [aut, cre], Erjia Cui [aut], Ciprian Crainiceanu [ctb]
Maintainer: Ziren Jiang <jian0746@umn.edu>
Repository: CRAN
Date/Publication: 2026-04-02 07:40:09 UTC

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New package PhaseGMM with initial version 0.1.0
Package: PhaseGMM
Title: Phase-Function Based Estimation and Inference for Linear Errors-in-Variables (EIV) Models
Version: 0.1.0
Description: Estimation and inference for coefficients of linear EIV models with symmetric measurement errors. The measurement errors can be homoscedastic or heteroscedastic, for the latter, replication for at least some observations needs to be available. The estimation method and asymptotic inference are based on a generalised method of moments framework, where the estimating equations are formed from (1) minimising the distance between the empirical phase function (normalised characteristic function) of the response and that of the linear combination of all the covariates at the estimates, and (2) minimising a corrected least-square discrepancy function. Specifically, for a linear EIV model with p error-prone and q error-free covariates, if replicates are available, the GMM approach is based on a 2(p+q) estimating equations if some replicates are available and based on p+2q estimating equations if no replicate is available. The details of the method are described in Nghiem and Potgieter (2020) & [...truncated...]
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: nleqslv
Suggests: extraDistr
NeedsCompilation: no
Packaged: 2026-03-30 01:13:06 UTC; liuchang
Author: Chang Liu [aut, cre], Linh Nghiem [aut]
Maintainer: Chang Liu <leo12345liu@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:17 UTC

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New package dsge with initial version 1.0.0
Package: dsge
Title: Dynamic Stochastic General Equilibrium Models
Version: 1.0.0
Description: Specify, solve, and estimate dynamic stochastic general equilibrium (DSGE) models by maximum likelihood and Bayesian methods. Supports both linear models via an equation-based formula interface and nonlinear models via string-based equations with first-order perturbation (linearization around deterministic steady state). Solution uses the method of undetermined coefficients (Klein, 2000 <doi:10.1016/S0165-1889(99)00045-7>). Likelihood evaluated via the Kalman filter. Bayesian estimation uses adaptive Random-Walk Metropolis-Hastings with prior specification. Additional tools include Kalman smoothing, historical shock decomposition, local identification diagnostics, parameter sensitivity analysis, second-order perturbation, occasionally binding constraints, impulse-response functions, forecasting, and robust standard errors.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: grDevices, graphics, stats, numDeriv
Suggests: coda, testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-30 03:36:44 UTC; musta
Author: Mustapha Wasseja Mohammed [aut, cre]
Maintainer: Mustapha Wasseja Mohammed <muswaseja@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-02 07:50:10 UTC

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Package hdf5lib updated to version 2.1.1.0 with previous version 2.0.0.6 dated 2026-02-19

Title: Headers and Static Libraries for 'HDF5'
Description: Provides a self-contained, static build of the 'HDF5' (Hierarchical Data Format 5) 'C' library (release 2.1.1) for R package developers. Designed for use in the 'LinkingTo' field, it enables zero-dependency integration by building the library entirely from source during installation. Additionally, it compiles and internally links a comprehensive suite of advanced compression filters and their 'HDF5' plugins (Zstd, LZ4, Blosc/Blosc2, Snappy, ZFP, Bzip2, LZF, Bitshuffle, szip, and gzip). These plugins are integrated out-of-the-box, allowing downstream packages to utilize high-performance compression directly through the standard 'HDF5' API while keeping the underlying third-party headers fully encapsulated. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , The Board of Trustees of the University of Illinois [cph] , Jean-loup Gailly [ctb, cph] , Mark Adler [ctb, cph] , Kiyoshi Masui [...truncated...]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between hdf5lib versions 2.0.0.6 dated 2026-02-19 and 2.1.1.0 dated 2026-04-02

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Package Correlplot updated to version 1.1.3 with previous version 1.1.2 dated 2025-07-25

Title: A Collection of Functions for Graphing Correlation Matrices
Description: Routines for the graphical representation of correlation matrices by means of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted alternating least squares); See Graffelman & De Leeuw (2023) <doi: 10.1080/00031305.2023.2186952>.
Author: Jan Graffelman [aut, cre], Jan De Leeuw [aut]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between Correlplot versions 1.1.2 dated 2025-07-25 and 1.1.3 dated 2026-04-02

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Package autoMrP (with last version 1.0.6) was removed from CRAN

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

2024-01-30 1.0.6
2023-08-17 1.0.3

Permanent link
Package EBMAforecast (with last version 1.0.32) was removed from CRAN

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

2024-03-20 1.0.32
2023-11-10 1.0.31
2022-10-13 1.0.3
2020-10-28 1.0.2
2020-05-20 1.0.0

Permanent link
Package farr (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:

2025-11-17 1.0.0
2025-09-01 0.3.2
2024-02-28 0.3.0
2023-12-13 0.2.39
2023-01-28 0.2.30
2022-06-30 0.2.27

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Wed, 01 Apr 2026

Package IBDInfer updated to version 0.1.0 with previous version 0.0.1 dated 2025-04-16

Title: Design-Based Causal Inference Method for Incomplete Block Designs
Description: This R package implements methods for estimation and inference under Incomplete Block Designs and Balanced Incomplete Block Designs within a design-based finite-population framework. Based on 'Koo and Pashley' (2026) <doi:10.1093/biomet/asag013>, it includes block-level estimators and extends to unit-level effects using 'Horvitz-Thompson' and 'Hájek' estimators. The package also provides asymptotic confidence intervals to support valid statistical inference.
Author: Taehyeon Koo [aut, cre], Nicole Pashley [ctb]
Maintainer: Taehyeon Koo <tk3077@cumc.columbia.edu>

Diff between IBDInfer versions 0.0.1 dated 2025-04-16 and 0.1.0 dated 2026-04-01

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 3 files changed, 42 insertions(+), 18 deletions(-)

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New package stt.api with initial version 0.2.1
Package: stt.api
Title: 'OpenAI' Compatible Speech-to-Text API Client
Version: 0.2.1
Description: A minimal-dependency R client for 'OpenAI'-compatible speech-to-text APIs (see <https://platform.openai.com/docs/api-reference/audio>) with optional local fallbacks. Supports 'OpenAI', local servers, and the 'whisper' package for local transcription.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/cornball-ai/stt.api
BugReports: https://github.com/cornball-ai/stt.api/issues
Imports: curl, jsonlite
Suggests: tinytest, whisper
NeedsCompilation: no
Packaged: 2026-03-29 22:12:33 UTC; troy
Author: Troy Hernandez [aut, cre] , Cornball AI [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-01 20:00:02 UTC

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New package SingleArmMRCT with initial version 0.1.1
Package: SingleArmMRCT
Title: Regional Consistency Probability for Single-Arm Multi-Regional Clinical Trials
Version: 0.1.1
Description: Provides functions to calculate and visualise the Regional Consistency Probability (RCP) for single-arm multi-regional clinical trials (MRCTs) using the Effect Retention Approach (ERA). Six endpoint types are supported: continuous, binary, count (negative binomial), time-to-event via hazard ratio, milestone survival, and restricted mean survival time (RMST). For each endpoint, both a closed-form (or semi-analytical) solution and a Monte Carlo simulation approach are implemented. Two consistency evaluation methods are available: Method 1 (effect retention in Region 1 relative to the overall population) and Method 2 (simultaneous positive effect across all regions). Plotting functions generate faceted visualisations of RCP as a function of the regional allocation proportion, overlaying formula and simulation results for direct comparison. The methodology follows the Japanese MHLW guidelines for MRCTs. Abbreviations used: RCP (Regional Consistency Probability), MRCT (Multi-Regional Clinic [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: stats, ggplot2 (>= 3.4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gosukehommaEX.github.io/SingleArmMRCT/, https://github.com/gosukehommaEX/SingleArmMRCT
BugReports: https://github.com/gosukehommaEX/SingleArmMRCT/issues
NeedsCompilation: no
Packaged: 2026-03-29 07:50:46 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 19:50:08 UTC

More information about SingleArmMRCT at CRAN
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Package rexpokit readmission to version 0.26.6.15 with previous version 0.26.6.14 dated 2023-11-22

Title: R Wrappers for EXPOKIT; Other Matrix Functions
Description: Wraps some of the matrix exponentiation utilities from EXPOKIT (<http://www.maths.uq.edu.au/expokit/>), a FORTRAN library that is widely recommended for matrix exponentiation (Sidje RB, 1998. "Expokit: A Software Package for Computing Matrix Exponentials." ACM Trans. Math. Softw. 24(1): 130-156). EXPOKIT includes functions for exponentiating both small, dense matrices, and large, sparse matrices (in sparse matrices, most of the cells have value 0). Rapid matrix exponentiation is useful in phylogenetics when we have a large number of states (as we do when we are inferring the history of transitions between the possible geographic ranges of a species), but is probably useful in other ways as well. NOTE: In case FORTRAN checks temporarily get rexpokit archived on CRAN, see archived binaries at GitHub in: nmatzke/Matzke_R_binaries (binaries install without compilation of source code).
Author: Nicholas J. Matzke [aut, cre, cph], Roger B. Sidje [aut, cph], Drew Schmidt [aut]
Maintainer: Nicholas J. Matzke <nickmatzke.ncse@gmail.com>

This is a re-admission after prior archival of version 0.26.6.14 dated 2023-11-22

Diff between rexpokit versions 0.26.6.14 dated 2023-11-22 and 0.26.6.15 dated 2026-04-01

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Package MFF updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-13

Title: Meta Fuzzy Functions
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, Gustafson–Kessel (GK) clustering, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test pre [...truncated...]
Author: Nihat Tak [aut, cre], Sadik Coban [aut]
Maintainer: Nihat Tak <nihattak@gmail.com>

Diff between MFF versions 0.1.0 dated 2026-02-13 and 0.2.0 dated 2026-04-01

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New package likelihood.contr with initial version 0.1.1
Package: likelihood.contr
Title: Likelihood Contribution Models for Heterogeneous Observation Types
Version: 0.1.1
Depends: R (>= 3.5.0)
Description: Constructs likelihood models from heterogeneous observation types by composing named contributions. Each observation type (exact, left-censored, right-censored, interval-censored, or custom) contributes independently to the total log-likelihood, which is summed under an i.i.d. assumption. Provides contr_name() for standard R distributions and contr_fn() for user-defined contributions, composed via likelihood_contr() into objects compatible with the likelihood.model inference framework.
License: MIT + file LICENSE
URL: https://github.com/queelius/likelihood.contr
BugReports: https://github.com/queelius/likelihood.contr/issues
Encoding: UTF-8
Imports: likelihood.model, numDeriv
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-29 17:50:23 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-04-01 20:00:07 UTC

More information about likelihood.contr at CRAN
Permanent link

New package gghinton with initial version 0.1.0
Package: gghinton
Title: Hinton Diagrams for 'ggplot2'
Version: 0.1.0
Description: Provides a 'ggplot2' extension for drawing Hinton diagrams, a visualisation technique for numerical matrices in which the area of each square is proportional to the magnitude of the corresponding entry. For signed data, white squares indicate positive values and black squares indicate negative values on a grey background. Hinton diagrams are especially useful for visualising PCA weight matrices, correlation matrices, and transition matrices.
License: MIT + file LICENSE
URL: https://github.com/robin-foster-rf/gghinton
BugReports: https://github.com/robin-foster-rf/gghinton/issues
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0)
Suggests: knitr, Matrix, patchwork, grid, scales (>= 1.3.0), rmarkdown, testthat (>= 3.0.0), tibble, vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-29 12:34:18 UTC; robin
Author: Robin Foster [aut, cre, cph]
Maintainer: Robin Foster <gghinton@proton.me>
Repository: CRAN
Date/Publication: 2026-04-01 19:50:02 UTC

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Package EMOTIONS updated to version 1.3 with previous version 1.2 dated 2026-03-27

Title: Ensemble Models for Lactation Curves
Description: Lactation curves describe temporal changes in milk yield and are key to breeding and managing dairy animals more efficiently. The use of ensemble modeling, which consists of combining predictions from multiple models, has the potential to yields more accurate and robust estimates of lactation patterns than relying solely on single model estimates. The package EMOTIONS fits 47 models for lactation curves and creates ensemble models using model averaging based on Akaike information criterion (AIC), Bayesian information criterion (BIC), root mean square percentage error (RMSPE) and mean squared error (MAE), variance of the predictions, cosine similarity for each model's predictions, and Bayesian Model Average (BMA). The daily production values predicted through the ensemble models can be used to estimate resilience indicators in the package. The package allows the graphical visualization of the model ranks and the predicted lactation curves. Additionally, the packages allows the user to d [...truncated...]
Author: Pablo Fonseca [aut, cre], Marcos Prates [aut], Aroa Suarez-Vega [aut], Ruth Arribas Gonzalo [aut], Beatriz Gutierrez-Gil [aut], Juan Jose Arranz [aut]
Maintainer: Pablo Fonseca <p.fonseca@csic.es>

Diff between EMOTIONS versions 1.2 dated 2026-03-27 and 1.3 dated 2026-04-01

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Package conos readmission to version 1.5.3 with previous version 1.5.2 dated 2024-02-26

Title: Clustering on Network of Samples
Description: Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB.
Author: Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

This is a re-admission after prior archival of version 1.5.2 dated 2024-02-26

Diff between conos versions 1.5.2 dated 2024-02-26 and 1.5.3 dated 2026-04-01

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Package RTMBdist updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-16

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package posterior updated to version 1.7.0 with previous version 1.6.1 dated 2025-02-27

Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Paul-Christian Buerkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Mans Magnusson [ctb], Rok Česnovar [ctb], Ben Lambert [ctb], Ozan Adiguezel [ctb], Jacob Socolar [ctb], Noa Kallioinen [ctb], Teemu Saeilynoja [ctb]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>

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Package ecoXCorr updated to version 0.2.1 with previous version 0.1.9 dated 2026-03-24

Title: Lagged Cross-Correlation Analysis of Environmental Time Series
Description: Tools for analysing lagged relationships between environmental variables and ecological or epidemiological time series. The package implements a workflow to aggregate meteorological data over multiple lagged intervals, fit regression models, including mixed-effect models using 'glmmTMB', for each lag window, and visualise varied models outcomes (effect strength and direction, model prediction error...) using cross-correlation maps ('CCM').
Author: Nicolas Moiroux [aut, cre] , Colombine Bartholomee [aut] , Paul Taconet [aut]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>

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Package uaparserjs updated to version 0.3.7 with previous version 0.3.6 dated 2026-03-23

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

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Package processx updated to version 3.8.7 with previous version 3.8.6 dated 2025-02-21

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], Posit Software, PBC [cph, fnd] , Ascent Digital Services [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package FAOSTAT updated to version 2.4.2 with previous version 2.4.0 dated 2024-05-22

Title: Download Data from the FAOSTAT Database
Description: Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.
Author: Michael C. J. [aut], Markus Gesmann [aut], Filippo Gheri [aut], Paul Rougieux [aut, cre], Sebastian Campbell [aut]
Maintainer: Paul Rougieux <paul.rougieux@gmail.com>

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Package Signac updated to version 1.17.0 with previous version 1.16.0 dated 2025-10-10

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.
Author: Tim Stuart [aut, cre] , Avi Srivastava [aut] , Paul Hoffman [ctb] , Rahul Satija [ctb]
Maintainer: Tim Stuart <stuartt@a-star.edu.sg>

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Package convertid updated to version 0.3.0 with previous version 0.2.1 dated 2026-02-05

Title: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart
Description: Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in 'AnnotationDbi' in convertId2() but that function is only provided as fallback mechanism for the most common use cases in data analysis. The main function in the package is convert.bm() which queries BioMart using the full capacity of the API provided through the 'biomaRt' package. Presets and defaults are provided for convenience but all "marts", "filters" and "attributes" can be set by the user. Function convert.alias() converts Gene Symbols to Aliases and vice versa and function likely_symbol() attempts to determine the most likely current Gene Symbol.
Author: Vidal Fey [aut, cre], Henrik Edgren [aut]
Maintainer: Vidal Fey <vidal.fey@gmail.com>

Diff between convertid versions 0.2.1 dated 2026-02-05 and 0.3.0 dated 2026-04-01

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 11 files changed, 68 insertions(+), 20 deletions(-)

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New package taxdiv with initial version 0.1.0
Package: taxdiv
Title: Taxonomic Diversity Indices Using Deng Entropy
Version: 0.1.0
Description: Calculates taxonomic diversity indices for ecological community data using Deng entropy framework and classical approaches (Shannon, Simpson, Clarke & Warwick). Provides functions for computing taxonomic distinctness, average taxonomic distinctness (AvTD/Delta+), variation in taxonomic distinctness (VarTD/Lambda+), and Deng entropy-based measures that incorporate taxonomic hierarchy information. Includes tools for constructing taxonomic trees and computing pairwise taxonomic distances.
Imports: stats, rlang
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
URL: https://github.com/mgorgoz/taxonomic-diversity-r, https://mgorgoz.github.io/taxonomic-diversity-r/
BugReports: https://github.com/mgorgoz/taxonomic-diversity-r/issues
NeedsCompilation: no
Packaged: 2026-03-28 21:33:27 UTC; muratgorgoz
Author: Muhammet Murat Gorgoz [aut, cre] , Kursad Ozkan [aut] , Mehmet Guvenc Negiz [aut]
Maintainer: Muhammet Murat Gorgoz <muratgorgoz350@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:02 UTC

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Package nomine readmission to version 1.0.2 with previous version 1.0.0 dated 2017-11-04

Title: Classify Names by Gender, U.S. Ethnicity, and Leaf Nationality
Description: Functions to use the 'NamePrism' API <https://www.name-prism.com/api> or 'NamSor' API v2 <https://namsor.app/> for classifying names based on gender, 6 U.S. ethnicities, or 39 leaf nationalities. Updated to work with current API endpoints.
Author: Charles Crabtree [aut, cre], Volha Chykina [aut], Micah Gell-Redman [aut], Christian Chacua [aut]
Maintainer: Charles Crabtree <charles.crabtree@monash.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2017-11-04

Diff between nomine versions 1.0.0 dated 2017-11-04 and 1.0.2 dated 2026-04-01

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 README.md                |  143 ++++++++++++++++++++++++++++++++++++++++++-----
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 10 files changed, 315 insertions(+), 132 deletions(-)

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New package mtaOpenData with initial version 0.1.0
Package: mtaOpenData
Title: Convenient Access to MTA Open Data API Endpoints
Version: 0.1.0
Description: Provides helper functions to access datasets from the Metropolitan Transportation Authority (MTA) portion of the New York State Open Data platform <https://data.ny.gov/>. Returns results as tidy tibbles with support for optional filtering, sorting, and row limits through the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, jsonlite, httr, janitor, rlang
Suggests: curl, covr, knitr, testthat (>= 3.0.0), vcr, withr, webmockr, ggplot2
URL: https://martinezc1.github.io/mtaOpenData/, https://github.com/martinezc1/mtaOpenData
BugReports: https://github.com/martinezc1/mtaOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-28 03:24:20 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:30:02 UTC

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New package gcpca with initial version 0.0.1
Package: gcpca
Title: Generalized Contrastive Principal Component Analysis
Version: 0.0.1
Description: Implements dense and sparse generalized contrastive principal component analysis (gcPCA) with S3 fit objects and methods for prediction, summaries, and plotting. The gcPCA is a hyperparameter-free method for comparing high-dimensional datasets collected under different experimental conditions to reveal low-dimensional patterns enriched in one condition compared to the other. Method details are described in de Oliveira, Garg, Hjerling-Leffler, Batista-Brito, and Sjulson (2025) <doi:10.1371/journal.pcbi.1012747>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SjulsonLab/generalized_contrastive_PCA
BugReports: https://github.com/SjulsonLab/generalized_contrastive_PCA/issues
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-28 01:20:40 UTC; fermi
Author: Eliezyer de Oliveira [aut, cre]
Maintainer: Eliezyer de Oliveira <eliezyer.deoliveira@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:30:08 UTC

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New package EE.Data with initial version 0.1.1
Package: EE.Data
Title: Objects for Predicting Energy Expenditure
Version: 0.1.1
Description: This is a data-only package containing model objects that predict human energy expenditure from wearable sensor data. Supported methods include the neural networks of Montoye et al. (2017) <doi:10.1080/1091367X.2017.1337638> and the models of Staudenmayer et al. (2015) <doi:10.1152/japplphysiol.00026.2015>, one a linear model and the other a random forest. The package is intended as a spoke for the hub-package 'accelEE', which brings together the above methods and others from packages such as 'Sojourn' and 'TwoRegression.'
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: nnet, randomForest
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-03-28 11:20:13 UTC; phibbing
Author: Paul R. Hibbing [aut, cre], Alexander H.K. Montoye [ctb], John Staudenmayer [ctb], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:16 UTC

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Package dyngen updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-17

Title: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses
Description: A novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. 'dyngen' is more flexible than current single-cell simulation engines. It allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods. Cannoodt et al. (2021) <doi:10.1038/s41467-021-24152-2>.
Author: Robrecht Cannoodt [aut, cre, cph] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between dyngen versions 1.1.0 dated 2026-03-17 and 1.1.1 dated 2026-04-01

 DESCRIPTION        |    6 +++---
 MD5                |   10 +++++-----
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New package albersdown with initial version 1.0.0
Package: albersdown
Title: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
Version: 1.0.0
Description: Provides a minimalist 'ggplot2' theme, colour scales, and 'pkgdown' template built around a curated colour palette system inspired by Josef Albers' colour theory (Albers (1963, ISBN:978-0-300-17935-4) "Interaction of Color"). Includes helpers to apply consistent theming to 'ggplot2' plots, 'gt' tables, and 'bslib' Bootstrap 5 sites, along with one-command setup functions for adopting the style across an R package.
URL: https://github.com/bbuchsbaum/albersdown, https://bbuchsbaum.github.io/albersdown/
BugReports: https://github.com/bbuchsbaum/albersdown/issues
Depends: R (>= 4.1)
Imports: grDevices, grid, stats, ggplot2
Suggests: gt, bslib, usethis, yaml, cli, testthat, viridisLite, knitr, rmarkdown, pkgdown
Encoding: UTF-8
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-03-28 13:04:28 UTC; bbuchsbaum
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:50:10 UTC

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New package AgriDiversiX with initial version 0.1.0
Package: AgriDiversiX
Title: Agricultural Crop Diversification Indices Analysis
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: dplyr,DT,MCMCpack,ggplot2,tidyr,viridis
Description: Provides functions to compute agricultural crop diversification indices for crop data across zones and years. The package implements widely used diversification and concentration measures including Herfindahl Index,Simpson Index, Entropy Index, Ogive Index, and Maximum Proportion Index.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Maintainer: Santosha Rathod <santoshagriculture@gmail.com>
Packaged: 2026-03-28 06:18:15 UTC; pc
Author: Santosha Rathod [aut, cre], Mrinmoy Ray [aut, ctb], Prabhat Kumar [aut, ctb], Rahul Patil Kumar [aut, ctb], Anil Kumar [aut, ctb]
Repository: CRAN
Date/Publication: 2026-04-01 08:40:10 UTC

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Package scan updated to version 0.68.0 with previous version 0.67.0 dated 2025-09-11

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. Multi-phase and multi-baseline designs are supported. Analysing methods include regression models (multilevel, multivariate, bayesian), between case standardised mean difference, overlap indices ('PND', 'PEM', 'PAND', 'NAP', 'PET', 'tau-u', 'IRD', '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. A shiny app allows to use scan in a graphical user interface. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2026) <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 0.67.0 dated 2025-09-11 and 0.68.0 dated 2026-04-01

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 scan-0.68.0/scan/R/describe.R                      |    8 
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 scan-0.68.0/scan/R/fetch.R                         |   35 +
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 scan-0.68.0/scan/R/pand.R                          |    5 
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New package nysOpenData with initial version 0.1.1
Package: nysOpenData
Title: Convenient Access to NYS Open Data API Endpoints
Version: 0.1.1
Description: Provides helper functions to access datasets from the NYS Open Data platform <https://data.ny.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, stringr, jsonlite, httr, janitor, rlang
Suggests: curl, covr, knitr, testthat (>= 3.0.0), vcr, withr, webmockr, ggplot2
URL: https://martinezc1.github.io/nysOpenData/, https://github.com/martinezc1/nysOpenData
BugReports: https://github.com/martinezc1/nysOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-27 19:19:58 UTC; christianmartinez
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:00:14 UTC

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New package catviz with initial version 0.1.1
Package: catviz
Title: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs
Version: 0.1.1
Description: Tools for constructing, labeling, and visualizing Causal Assignment Trees (CATs) in settings with staggered adoption. Supports Callaway and Sant'Anna difference-in-differences (CSDiD) and doubly robust difference-in-difference-differences (DR-DDD) designs. The package helps clarify treatment timing, never-treated vs. not-yet-treated composition, and subgroup structure, and produces publication-quality diagrams and summary tables. Current functionality focuses on data-to-node mapping, node counts, cohort-year summaries, and high-quality tree plots suitable for empirical applications prior to estimation. Methods are based on Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>, Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>, and Kilanko (2026) <https://github.com/VictorKilanko/catviz>.
License: MIT + file LICENSE
URL: https://github.com/VictorKilanko/catviz
BugReports: https://github.com/VictorKilanko/catviz/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, glue, tidyr, purrr, tibble, grid, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-27 19:13:26 UTC; victo
Author: Victor Kilanko [aut, cre]
Maintainer: Victor Kilanko <victorkilanko@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 08:00:20 UTC

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New package bigKNN with initial version 0.3.0
Package: bigKNN
Title: Exact Search and Graph Construction for 'bigmemory' Matrices
Version: 0.3.0
Date: 2026-03-26
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Exact nearest-neighbour and radius-search routines that operate directly on 'bigmemory::big.matrix' objects. The package streams row blocks through 'BLAS' kernels, supports self-search and external-query search, exposes prepared references for repeated queries, and can build exact k-nearest-neighbour, radius, mutual k-nearest-neighbour, and shared-nearest-neighbour graphs. Version 0.3.0 adds execution plans, serializable prepared caches, resumable streamed graph jobs, coercion helpers, exact candidate reranking, and recall summaries for evaluating approximate neighbours.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Matrix, Rcpp (>= 1.0.12), methods
Suggests: bigmemory, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
NeedsCompilation: yes
URL: https://fbertran.github.io/bigKNN/, https://github.com/fbertran/bigKNN
BugReports: https://github.com/fbertran/bigKNN/issues
VignetteBuilder: knitr
Packaged: 2026-03-27 01:16:22 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-01 08:00:26 UTC

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New package bigANNOY with initial version 0.3.0
Package: bigANNOY
Title: Approximate k-Nearest Neighbour Search for 'bigmemory' Matrices with Annoy
Version: 0.3.0
Date: 2026-03-27
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Approximate Euclidean k-nearest neighbour search routines that operate on 'bigmemory::big.matrix' data through Annoy indexes created with 'RcppAnnoy'. The package builds persistent on-disk indexes plus sidecar metadata from streamed 'big.matrix' rows, supports euclidean, angular, Manhattan, and dot-product Annoy metrics, and can either return in-memory results or stream neighbour indices and distances into destination 'bigmemory' matrices. Explicit index life cycle helpers, stronger metadata validation, descriptor-aware file-backed workflows, and benchmark helpers are also included.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: methods, Rcpp, RcppAnnoy
LinkingTo: BH, bigmemory, Rcpp, RcppAnnoy
Suggests: bigmemory, knitr, litedown, testthat (>= 3.0.0)
VignetteBuilder: litedown
Encoding: UTF-8
NeedsCompilation: yes
URL: https://fbertran.github.io/bigANNOY/, https://github.com/fbertran/bigANNOY
BugReports: https://github.com/fbertran/bigANNOY/issues
Packaged: 2026-03-27 20:39:35 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-01 08:00:33 UTC

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Package dynamAedes (with last version 2.2.9) was removed from CRAN

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

2024-03-12 2.2.9
2024-01-08 2.2.8
2023-03-30 2.1.2

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Package spanner updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-26

Title: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Description: Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
Author: Andrew Sanchez Meador [aut, cre, ctb] , Jonathon Donager [aut, ctb] , Blackburn Ryan [aut, ctb] , Cannon Jeffery [ctb] , Tiago de Conto [ctb, cph] , Keith O'Hara [ctb, cph]
Maintainer: Andrew Sanchez Meador <Andrew.SanchezMeador@nau.edu>

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Package riskmetric updated to version 0.2.7 with previous version 0.2.6 dated 2026-01-13

Title: Risk Metrics to Evaluating R Packages
Description: Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Author: R Validation Hub [aut], Doug Kelkhoff [aut], Marly Gotti [aut], Eli Miller [cre, aut], Kevin K [aut], Yilong Zhang [aut], Eric Milliman [aut], Juliane Manitz [aut], Mark Padgham [ctb], PSI special interest group Application and Implementation of Meth [...truncated...]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>

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Package quickSentiment updated to version 0.3.3 with previous version 0.3.2 dated 2026-03-20

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

Diff between quickSentiment versions 0.3.2 dated 2026-03-20 and 0.3.3 dated 2026-04-01

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Package pkgload updated to version 1.5.1 with previous version 1.5.0 dated 2026-02-03

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between pkgload versions 1.5.0 dated 2026-02-03 and 1.5.1 dated 2026-04-01

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Package nonnest2 updated to version 0.5-9 with previous version 0.5-8 dated 2024-08-28

Title: Tests of Non-Nested Models
Description: Testing non-nested models via theory supplied by Vuong (1989) <DOI:10.2307/1912557>. Includes tests of model distinguishability and of model fit that can be applied to both nested and non-nested models. Also includes functionality to obtain confidence intervals associated with AIC and BIC. This material is partially based on work supported by the National Science Foundation under Grant Number SES-1061334.
Author: Edgar Merkle [aut, cre], Dongjun You [aut], Lennart Schneider [ctb], Mauricio Garnier-Villarreal [ctb], Seongho Bae [ctb], Phil Chalmers [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package nimble updated to version 1.4.2 with previous version 1.4.1 dated 2026-02-13

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package maidr updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-07

Title: Multimodal Access and Interactive Data Representation
Description: Provides accessible, interactive visualizations through the 'MAIDR' (Multimodal Access and Interactive Data Representation) system. Converts 'ggplot2' and Base R plots into accessible HTML/SVG formats with keyboard navigation, screen reader support, and 'sonification' capabilities. Supports bar charts (simple, grouped, stacked), histograms, line plots, scatter plots, box plots, violin plots, heat maps, density/smooth curves, faceted plots, multi-panel layouts (including patchwork), and multi-layered plot combinations. Enables data exploration for users with visual impairments through multiple sensory modalities. For more details see the 'MAIDR' project <https://maidr.ai/>.
Author: JooYoung Seo [aut, cph], Niranjan Kalaiselvan [aut, cre]
Maintainer: Niranjan Kalaiselvan <nk46@illinois.edu>

Diff between maidr versions 0.2.0 dated 2026-03-07 and 0.3.0 dated 2026-04-01

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Package ICC.Sample.Size updated to version 1.1 with previous version 1.0 dated 2015-09-03

Title: Calculation of Sample Size and Power for ICC
Description: Provides functions to calculate the requisite sample size for studies where ICC is the primary outcome. Can also be used for calculation of power. In both cases it allows the user to test the impact of changing input variables by calculating the outcome for several different values of input variables. Based off the work of Zou. Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
Author: Alasdair Rathbone [aut, cre], Saurabh Shaw [aut], Dinesh Kumbhare [aut]
Maintainer: Alasdair Rathbone <alasdair.rathbone@gmail.com>

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Package HonestDiD updated to version 0.2.7 with previous version 0.2.6 dated 2024-07-14

Title: Robust Inference in Difference-in-Differences and Event Study Designs
Description: Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
Author: Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph]
Maintainer: Ashesh Rambachan <ashesh.a.rambachan@gmail.com>

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Package futurize updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-18

Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function transpiles calls to sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this function with R's native pipe operator, you have a convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that can be "futurized" are 'BiocParallel', 'plyr', 'crossmap', 'pbapply' packages. There is also support for a growing set of domain-specific packages on CRAN (e.g. 'boot', 'caret', 'fgsea', 'fwb', 'gamlss', 'glmmTMB', 'glmnet', 'kernelshap', 'lme4', 'metafor', 'mgcv', 'partykit', 'riskRegression', 'seriation', 'shapr', 'SimDesign', 'strucchange', 'tm', 'T [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between futurize versions 0.2.0 dated 2026-03-18 and 0.3.0 dated 2026-04-01

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Package bfast updated to version 1.7.2 with previous version 1.7.1 dated 2025-08-18

Title: Breaks for Additive Season and Trend
Description: Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different mode [...truncated...]
Author: Jan Verbesselt [aut], Dainius Masiliūnas [aut, cre] , Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mîrț [ctb] , Paulo Negri Bernardino [ctb], Dongdong Kong [ctb]
Maintainer: Dainius Masiliūnas <pastas4@gmail.com>

Diff between bfast versions 1.7.1 dated 2025-08-18 and 1.7.2 dated 2026-04-01

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Tue, 31 Mar 2026

Package SPACO updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-31

Title: Spatial Component Analysis for Spatial Sequencing Data
Description: Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>

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Package socialSim updated to version 0.1.9 with previous version 0.1.8 dated 2026-01-30

Title: Simulate and Analyse Social Interaction Data
Description: Provides tools to simulate and analyse datasets of social interactions between individuals using hierarchical Bayesian models implemented in Stan. Model fitting is performed via the 'rstan' package. Users can generate realistic interaction data where individual phenotypes influence and respond to those of their partners, with control over sampling design parameters such as the number of individuals, partners, and repeated dyads. The simulation framework allows flexible control over variation and correlation in mean trait values, social responsiveness, and social impact, making it suitable for research on interacting phenotypes and on direct and indirect genetic effects ('DGEs' and 'IGEs'). The package also includes functions to fit and compare alternative models of social effects, including impact–responsiveness, variance–partitioning, and trait-based models, and to summarise model performance in terms of bias and dispersion. For a more detailed description of the available models and [...truncated...]
Author: Rori Efrain Wijnhorst [aut, cre]
Maintainer: Rori Efrain Wijnhorst <roriwijnhorst@proton.me>

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Package SEQTaRget updated to version 1.4.1 with previous version 1.3.6 dated 2026-02-16

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Paul Madley-Dowd [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package reviser updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-29

Title: Analyzing Revisions in Real-Time Time Series Vintages
Description: Analyzes revisions in real-time time series vintages. The package converts between wide revision triangles and tidy long vintages, extracts selected releases, computes revision series, visualizes vintage paths, and summarizes revision properties such as bias, dispersion, autocorrelation, and news-noise diagnostics. It also identifies efficient releases and estimates state-space models for revision nowcasting. Methods are based on Howrey (1978) <doi:10.2307/1924972>, Jacobs and Van Norden (2011) <doi:10.1016/j.jeconom.2010.04.010>, and Kishor and Koenig (2012) <doi:10.1198/jbes.2010.08169>.
Author: Marc Burri [aut, cre, cph] , Philipp Wegmueller [aut, cph]
Maintainer: Marc Burri <marc.burri91@gmail.com>

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Package RcppCensSpatial readmission to version 1.0.0 with previous version 0.3.0 dated 2022-06-27

Title: Spatial Estimation and Prediction for Censored/Missing Responses
Description: It provides functions for estimating parameters in linear spatial models with censored or missing responses using the Expectation-Maximization (EM), Stochastic Approximation EM (SAEM), and Monte Carlo EM (MCEM) algorithms. These methods are widely used to obtain maximum likelihood (ML) estimates in the presence of incomplete data. The EM algorithm computes ML estimates when a closed-form expression for the conditional expectation of the complete-data log-likelihood is available. The MCEM algorithm replaces this expectation with a Monte Carlo approximation based on independent simulations of the missing data. In contrast, the SAEM algorithm decomposes the E-step into simulation and stochastic approximation steps, improving computational efficiency in complex settings. In addition, the package provides standard error estimation based on the Louis method. It also includes functionality for spatial prediction at new locations. References used for this package: Galarza, C. E., Matos, L. A., [...truncated...]
Author: Katherine A. L. Valeriano [aut, cre] , Christian Galarza Morales [ctb] , Larissa Avila Matos [ctb]
Maintainer: Katherine A. L. Valeriano <katandreina@gmail.com>

This is a re-admission after prior archival of version 0.3.0 dated 2022-06-27

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Package pagoda2 readmission to version 1.0.15 with previous version 1.0.14 dated 2026-03-08

Title: Single Cell Analysis and Differential Expression
Description: Analyzing and interactively exploring large-scale single-cell RNA-seq datasets. 'pagoda2' primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. 'pagoda2' was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos, <https://github.com/kharchenkolab/conos>. This package interacts with data available through the 'p2data' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharche [...truncated...]
Author: Nikolas Barkas [aut], Viktor Petukhov [aut], Peter Kharchenko [aut], Simon Steiger [ctb], Rasmus Rydbirk [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

This is a re-admission after prior archival of version 1.0.14 dated 2026-03-08

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Package measles readmission to version 0.2.0 with previous version 0.1.1 dated 2026-02-21

Title: Measles Epidemiological Models
Description: A specialized collection of measles epidemiological models built on the 'epiworldR' framework. This package is a spinoff from 'epiworldR' focusing specifically on measles transmission dynamics. It includes models for school settings with quarantine and isolation policies, mixing models with population groups, and risk-based quarantine strategies. The models use Agent-Based Models (ABM) with a fast 'C++' backend from the 'epiworld' library. Ideal for studying measles outbreaks, vaccination strategies, and intervention policies.
Author: George Vega Yon [aut, cre] , Damon Toth [ctb] , Jake Wagoner [ctb] , Olivia Banks [ctb] , Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2026-02-21

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Package mbg updated to version 1.2.0 with previous version 1.1.2 dated 2026-03-10

Title: Model-Based Geostatistics
Description: Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
Author: Nathaniel Henry [aut, cre] , Benjamin Mayala [aut], Roy Burstein [ctb] , Nafis Sadat [ctb], Michael Richards [ctb], Michael Collison [ctb], Michael Cork [ctb]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>

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Package imagefluency readmission to version 1.0.0 with previous version 0.2.5 dated 2024-02-22

Title: Image Statistics Based on Processing Fluency
Description: Get image statistics based on processing fluency theory. The functions provide scores for several basic aesthetic principles that facilitate fluent cognitive processing of images: contrast, complexity / simplicity, self-similarity, symmetry, and typicality. See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.
Author: Stefan Mayer [aut, cre]
Maintainer: Stefan Mayer <stefan@mayer-de.com>

This is a re-admission after prior archival of version 0.2.5 dated 2024-02-22

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Package focus updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-30

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut], Idris A. Eckley [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

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Package dynwrap readmission to version 1.3.0 with previous version 1.2.5 dated 2025-11-26

Title: Representing and Inferring Single-Cell Trajectories
Description: Provides functionality to infer trajectories from single-cell data, represent them into a common format, and adapt them. Other biological information can also be added, such as cellular grouping, RNA velocity and annotation. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

This is a re-admission after prior archival of version 1.2.5 dated 2025-11-26

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Package cati updated to version 0.99.6 with previous version 0.99.4 dated 2022-02-25

Title: Community Assembly by Traits: Individuals and Beyond
Description: Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models. Provides tools to analyse 'intraspecific' trait variability and its consequences for community assembly. Implements a framework using individual-level trait data to decompose variance at the population, species, and community levels. Methods are described in 'Taudiere' and 'Violle' (2016) <doi:10.1111/ecog.01433>.
Author: Adrien Taudiere [aut, cre, cph] , Cyrille Violle [aut] , Francois Munoz [ctb]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>

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Package gge updated to version 1.10 with previous version 1.9 dated 2024-10-28

Title: Genotype Plus Genotype-by-Environment Biplots
Description: Create biplots for GGE (genotype plus genotype-by-environment) and GGB (genotype plus genotype-by-block-of-environments) models. See Laffont et al. (2013) <doi:10.2135/cropsci2013.03.0178>.
Author: Kevin Wright [aut, cre, cph] , Jean-Louis Laffont [aut]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package Orangutan updated to version 2.1.0 with previous version 2.0.0 dated 2026-02-04

Title: Automated Analysis of Phenotypic Data
Description: Provides functions to analyze and visualize meristic and mensural phenotypic data in a comparative framework. The package implements an automated pipeline that summarizes traits, identifies diagnostic variables among groups, performs multivariate and univariate statistical analyses, and produces publication-ready graphics. Earlier implementation are described in Torres (2025) <doi:10.64898/2025.12.18.695244> (v1.0.0) and Torres (2026) <doi:10.1002/ece3.73111> (v2.0.0).
Author: Javier Torres [aut, cre]
Maintainer: Javier Torres <metalofis@gmail.com>

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Package nzilbb.labbcat updated to version 1.5-1 with previous version 1.5-0 dated 2025-08-19

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20230818.1400 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

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Package shinylive updated to version 0.4.0 with previous version 0.3.0 dated 2024-11-12

Title: Run 'shiny' Applications in the Browser
Description: Exporting 'shiny' applications with 'shinylive' allows you to run them entirely in a web browser, without the need for a separate R server. The traditional way of deploying 'shiny' applications involves in a separate server and client: the server runs R and 'shiny', and clients connect via the web browser. When an application is deployed with 'shinylive', R and 'shiny' run in the web browser (via 'webR'): the browser is effectively both the client and server for the application. This allows for your 'shiny' application exported by 'shinylive' to be hosted by a static web server.
Author: Barret Schloerke [aut, cre] , Winston Chang [aut] , George Stagg [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

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Package cograph updated to version 2.0.0 with previous version 1.5.2 dated 2026-03-02

Title: Analysis and Visualization of Complex Networks
Description: Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.
Author: Mohammed Saqr [aut, cph], Sonsoles Lopez-Pernas [aut, cre, cph], Santtu Tikka [aut]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>

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Package vcfppR updated to version 0.8.3 with previous version 0.8.2 dated 2025-11-06

Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

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Package rscorecard updated to version 0.33.0 with previous version 0.32.0 dated 2025-05-12

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/data-documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

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Package inshiny updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-20

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package nlpsem updated to version 0.4 with previous version 0.3 dated 2023-09-12

Title: Nonlinear Longitudinal Process in Structural Equation Modeling
Description: Provides computational tools for nonlinear longitudinal models, in particular the intrinsically nonlinear models, in four scenarios: (1) univariate longitudinal processes with growth factors, with or without covariates including time-invariant covariates (TICs) and time-varying covariates (TVCs); (2) multivariate longitudinal processes that facilitate the assessment of correlation or causation between multiple longitudinal variables; (3) multiple-group models for scenarios (1) and (2) to evaluate differences among manifested groups, and (4) longitudinal mixture models for scenarios (1) and (2), with an assumption that trajectories are from multiple latent classes. The methods implemented are introduced in Liu (2025) <doi:10.3758/s13428-025-02596-4>.
Author: Jin Liu [aut, cre]
Maintainer: Jin Liu <Veronica.Liu0206@gmail.com>

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Package Fiscal updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-24

Title: Income Tax Calculations (UK)
Description: Income tax calculations for England, Northern Ireland and Wales. Estimate annual income tax within the different taxation bands at specified levels of both taxable income and the Personal Allowance, emulating the results obtained at <https://www.gov.uk/estimate-income-tax>. Calculate the standard Personal Allowance at various levels of taxable income. Estimate the personal allowance required to recoup a specified amount of income tax.
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark@markeisler.com>

Diff between Fiscal versions 1.0.1 dated 2026-03-24 and 1.0.2 dated 2026-03-31

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Package sffdr updated to version 1.1.2 with previous version 1.1.0 dated 2026-02-11

Title: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies
Description: Pleiotropy-informed significance analysis of genome-wide association studies with surrogate functional false discovery rates (sfFDR). The sfFDR framework adapts the fFDR to leverage informative data from multiple sets of GWAS summary statistics to increase power in study while accommodating for linkage disequilibrium. sfFDR provides estimates of key FDR quantities in a significance analysis such as the functional local FDR and $q$-value, and uses these estimates to derive a functional $p$-value for type I error rate control and a functional local Bayes' factor for post-GWAS analyses (e.g., fine mapping and colocalization).
Author: Andrew Bass [aut, cre], Chris Wallace [aut]
Maintainer: Andrew Bass <ab3105@cam.ac.uk>

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New package RDesk with initial version 1.0.4
Package: RDesk
Title: Native Desktop App Framework for 'R'
Version: 1.0.4
Description: Build native Windows desktop applications using 'R' and 'WebView2'. Provides a robust 'R6'-based event loop, asynchronous background task management via 'mirai' and 'callr', and a native 'Win32' message bridge for seamless 'R'-to-user-interface communication without listening ports or network overhead. Allows 'R' developers to create professional, standalone desktop tools with modern web-based user interfaces while maintaining a pure 'R' backend.
OS_type: windows
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/Janakiraman-311/RDesk, https://janakiraman-311.github.io/RDesk/
BugReports: https://github.com/Janakiraman-311/RDesk/issues
SystemRequirements: Windows 10 or later, 'Rtools44' or later (https://cran.r-project.org/bin/windows/Rtools/), Microsoft 'WebView2' Runtime (https://developer.microsoft.com/microsoft-edge/webview2/)
Imports: R6, jsonlite, digest, processx, callr, mirai (>= 1.0.0), base64enc, zip, stats, utils, parallel
Suggests: testthat (>= 3.0.0), withr, fs, knitr, rmarkdown, devtools, renv, broom, ggplot2, dplyr, rstudioapi, pkgdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-27 16:55:56 UTC; Janak
Author: Janakiraman G [aut, cre] , Serge Zaitsev [cph] ), Niels Lohmann [cph] ), Microsoft Corporation [cph] )
Maintainer: Janakiraman G <janakiraman.bt@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:50:02 UTC

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New package mmbcv with initial version 0.3.0
Package: mmbcv
Title: Multistate Model Bias-Corrected Robust Variance
Version: 0.3.0
Description: Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) <doi:10.1002/bimj.202200113> to the multi-state setting.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-27 15:05:57 UTC; cmeng
Author: Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-31 15:30:02 UTC

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New package forrest with initial version 0.3.0
Package: forrest
Title: Publication-Ready Forest Plots
Version: 0.3.0
Description: Creates publication-ready forest plots from any tabular data containing point estimates and confidence intervals. Suitable for visualising results from regression models, meta-analyses, subgroup analyses, or any comparative study. Supports group and subgroup headings, summary estimates displayed as diamonds, grouped estimates with automatic colour and shape mapping, vertical dodging of multiple estimates within the same row, customisable text columns alongside the plot, and optional row striping. Provides a helper to export plots to PDF, PNG, SVG, or TIFF. Built on 'tinyplot' for clean, consistent visual styling with a minimal dependency footprint.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: tinyplot (>= 0.2.0)
Suggests: broom, covr, data.table, knitr, marginaleffects, MatchIt, quarto, rmarkdown, tibble, testthat (>= 3.0.0)
VignetteBuilder: quarto, knitr
URL: https://lorenzofabbri.github.io/forrest/, https://github.com/lorenzoFabbri/forrest
BugReports: https://github.com/lorenzoFabbri/forrest/issues
NeedsCompilation: no
Packaged: 2026-03-27 11:47:54 UTC; lorenzo
Author: Lorenzo Fabbri [aut, cre, cph]
Maintainer: Lorenzo Fabbri <lorenzo.fabbri92sm@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:10:02 UTC

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New package debtkit with initial version 0.1.2
Package: debtkit
Title: Debt Sustainability Analysis and Fiscal Risk Assessment
Version: 0.1.2
Description: Analyses government debt sustainability using the standard debt dynamics framework from Blanchard (1990) <doi:10.1787/budget-v2-art12-en> and the IMF Debt Sustainability Analysis methodology (IMF, 2013) and the Sovereign Risk and Debt Sustainability Framework (IMF, 2022). Projects debt-to-GDP paths, decomposes historical debt changes into interest, growth, and primary balance contributions, and estimates fiscal reaction functions following Bohn (1998) <doi:10.1162/003355398555793>. Produces stochastic fan charts via Monte Carlo simulation, standardised stress tests, and IMF- style heat map risk assessments. Computes S1/S2 sustainability gap indicators used by the European Commission. All methods are pure computation with no external dependencies beyond base R; works with fiscal data from any source.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), grDevices, graphics, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/debtkit
BugReports: https://github.com/charlescoverdale/debtkit/issues
NeedsCompilation: no
Packaged: 2026-03-27 10:39:31 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:10:08 UTC

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Package ReliaGrowR updated to version 0.4 with previous version 0.3.2 dated 2025-12-09

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) (No. AMSAATR138), Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package ps updated to version 1.9.2 with previous version 1.9.1 dated 2025-04-12

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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New package pams with initial version 0.1.0
Package: pams
Title: Profile Analysis via Multidimensional Scaling
Version: 0.1.0
Date: 2026-03-22
Description: Implements Profile Analysis via Multidimensional Scaling (PAMS) for the identification of population-level core response profiles from cross-sectional and longitudinal person-score data. Each person profile is decomposed into a level component (the person mean) and a pattern component (ipsatized subscores). PAMS uses nonmetric multidimensional scaling via the SMACOF algorithm to identify a small number of core profiles that represent the central response patterns in a sample of any size. Bootstrap standard errors and bias-corrected and accelerated (BCa) confidence intervals for individual core profile coordinates are estimated, enabling significance testing of coordinates that is not available in other profile analysis methods such as cluster profile analysis or latent profile analysis. Person-level weights, R-squared values, and correlations with core profiles are also estimated, allowing individual profiles to be interpreted in terms of the core profile structure. PAMS can be applied [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/sekangakim/pams
BugReports: https://github.com/sekangakim/pams/issues
Depends: R (>= 4.0.0)
Imports: smacof (>= 2.1.0)
Suggests: lmtest (>= 0.9.40), testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-27 03:48:18 UTC; sekangkim
Author: Se-Kang Kim [aut, cre] , Donghoh Kim [aut]
Maintainer: Se-Kang Kim <Se-Kang.Kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-03-31 15:00:02 UTC

More information about pams at CRAN
Permanent link

Package furrr updated to version 0.4.0 with previous version 0.3.1 dated 2022-08-15

Title: Apply Mapping Functions in Parallel using Futures
Description: Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
Author: Davis Vaughan [aut, cre] , Henrik Bengtsson [aut] , Matt Dancho [aut], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between furrr versions 0.3.1 dated 2022-08-15 and 0.4.0 dated 2026-03-31

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More information about furrr at CRAN
Permanent link

Package dataRetrieval updated to version 2.7.24 with previous version 2.7.23 dated 2026-03-10

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joseph Zemme [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between dataRetrieval versions 2.7.23 dated 2026-03-10 and 2.7.24 dated 2026-03-31

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More information about dataRetrieval at CRAN
Permanent link

New package aisdk with initial version 1.1.0
Package: aisdk
Title: Unified Interface for AI Model Providers
Version: 1.1.0
Description: A production-grade AI toolkit for R featuring a layered architecture (Specification, Utilities, Providers, Core), request interception support, robust error handling with exponential retry delays, support for multiple AI model providers ('OpenAI', 'Anthropic', etc.), local small language model inference, distributed 'MCP' ecosystem, multi-agent orchestration, progressive knowledge loading through skills, and a global skill store for sharing AI capabilities.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6, httr2, jsonlite, rlang, yaml, callr, processx, memoise, digest, parallel, stats, tools, utils, base64enc, curl, openssl
Suggests: testthat (>= 3.0.0), httptest2, cli, knitr, rmarkdown, skimr, evaluate, shiny, shinyjs, bslib, commonmark, ggplot2, dplyr, readr, readxl, DBI, RSQLite, torch, onnx, rstudioapi, DT, withr, httpuv, devtools, fs, dotenv, quarto, pdftools
URL: https://github.com/YuLab-SMU/aisdk, https://yulab-smu.top/aisdk/
BugReports: https://github.com/YuLab-SMU/aisdk/issues
NeedsCompilation: no
Packaged: 2026-03-27 00:48:33 UTC; xiayh
Author: Yonghe Xia [aut, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-03-31 15:00:07 UTC

More information about aisdk at CRAN
Permanent link

New package agriReg with initial version 0.1.0
Package: agriReg
Title: Linear and Nonlinear Regression for Agricultural Data
Version: 0.1.0
Description: Fit, compare, and visualise linear and nonlinear regression models tailored to field-trial and dose-response agricultural data. Provides S3 classes for mixed-effects models (via 'lme4'), nonlinear growth curves (logistic, 'Gompertz', asymptotic, linear-plateau, quadratic), and four/five-parameter log-logistic dose-response models (via 'drc'). Includes automated starting-value heuristics, goodness-of-fit statistics, residual diagnostics, and 'ggplot2'-based visualisation. Methods are based on Bates and Watts (1988, ISBN:9780471816430), Ritz and others (2015) <doi:10.1371/journal.pone.0146021>, and Bates and others (2015) <doi:10.18637/jss.v067.i01>.
Depends: R (>= 4.1.0)
Imports: lme4 (>= 1.1-35), drc (>= 3.0-1), ggplot2 (>= 3.4.0), patchwork (>= 1.1.0), stats, utils
Suggests: broom (>= 1.0.0), broom.mixed (>= 0.2.9), emmeans (>= 1.8.0), nlme (>= 3.1-0), methods, testthat (>= 3.0.0), knitr, rmarkdown, lmerTest, car, multcomp
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-27 06:10:56 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 15:00:23 UTC

More information about agriReg at CRAN
Permanent link

Package Rduckhts updated to version 1.1.4-0.0.1 with previous version 0.1.3-0.0.2 dated 2026-02-24

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>.
Author: Sounkou Mahamane Toure [aut, cre], James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , Giulio Genovese [cph] , DuckDB C Extension API Authors [ctb]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between Rduckhts versions 0.1.3-0.0.2 dated 2026-02-24 and 1.1.4-0.0.1 dated 2026-03-31

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More information about Rduckhts at CRAN
Permanent link

Package glmmrOptim updated to version 0.3.7 with previous version 0.3.6 dated 2024-12-17

Title: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Description: Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) <doi:10.1177/09622802231202379>.
Author: Sam Watson [aut, cre], Yi Pan [aut]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between glmmrOptim versions 0.3.6 dated 2024-12-17 and 0.3.7 dated 2026-03-31

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Permanent link

Package HelpersMG updated to version 2026.3.31 with previous version 2026.2.28 dated 2026-02-28

Title: Tools for Various R Functions Helpers
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

Diff between HelpersMG versions 2026.2.28 dated 2026-02-28 and 2026.3.31 dated 2026-03-31

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Package glmmrBase updated to version 1.3.0 with previous version 1.2.1 dated 2026-01-27

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

Diff between glmmrBase versions 1.2.1 dated 2026-01-27 and 1.3.0 dated 2026-03-31

 glmmrBase-1.2.1/glmmrBase/inst/include/glmmr/modelmcmc.hpp      |only
 glmmrBase-1.3.0/glmmrBase/DESCRIPTION                           |    8 
 glmmrBase-1.3.0/glmmrBase/MD5                                   |   35 
 glmmrBase-1.3.0/glmmrBase/R/Betadist.R                          |    4 
 glmmrBase-1.3.0/glmmrBase/R/R6Model.R                           |  229 ++--
 glmmrBase-1.3.0/glmmrBase/R/R6covariance.R                      |   33 
 glmmrBase-1.3.0/glmmrBase/R/RcppExports.R                       |   12 
 glmmrBase-1.3.0/glmmrBase/build/partial.rdb                     |binary
 glmmrBase-1.3.0/glmmrBase/inst/include/glmmr/covariance.hpp     |   42 
 glmmrBase-1.3.0/glmmrBase/inst/include/glmmr/hsgpcovariance.hpp |  498 +++++++--
 glmmrBase-1.3.0/glmmrBase/inst/include/glmmr/modelmatrix.hpp    |  147 ++
 glmmrBase-1.3.0/glmmrBase/inst/include/glmmr/modeloptim.hpp     |  515 +++++++++-
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 glmmrBase-1.3.0/glmmrBase/inst/include/glmmr/randomeffects.hpp  |   71 +
 glmmrBase-1.3.0/glmmrBase/man/Model.Rd                          |   48 
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 glmmrBase-1.3.0/glmmrBase/src/RcppExports.cpp                   |   35 
 glmmrBase-1.3.0/glmmrBase/src/model_module.cpp                  |   40 
 glmmrBase-1.3.0/glmmrBase/src/stanExports_mcml.cc               |   34 
 19 files changed, 1317 insertions(+), 568 deletions(-)

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Package csdb updated to version 2026.2.2 with previous version 2025.7.30 dated 2025-08-18

Title: An Abstracted System for Easily Working with Databases with Large Datasets
Description: Provides object-oriented database management tools for working with large datasets across multiple database systems. Features include robust connection management for 'PostgreSQL' databases, advanced table operations with bulk data loading and upsert functionality, comprehensive data validation through customizable field type and content validators, efficient index management, and cross-database compatibility. Designed for high-performance data operations in surveillance systems and large-scale data processing workflows.
Author: Richard Aubrey White [aut, cre] , August Soerli Mathisen [aut]
Maintainer: Richard Aubrey White <hello@rwhite.no>

Diff between csdb versions 2025.7.30 dated 2025-08-18 and 2026.2.2 dated 2026-03-31

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New package RFIF with initial version 1.0
Package: RFIF
Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Version: 1.0
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower.
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/ChuckColeman/RFIF
BugReports: https://github.com/ChuckColeman/RFIF/issues
NeedsCompilation: yes
Packaged: 2026-03-26 21:19:01 UTC; Common
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:10:11 UTC

More information about RFIF at CRAN
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Package pep725 updated to version 1.0.2 with previous version 1.0.0 dated 2026-03-09

Title: Pan-European Phenological Data Analysis
Description: Provides a framework for quality-aware analysis of ground-based phenological data from the PEP725 Pan-European Phenology Database (Templ et al. (2018) <doi:10.1007/s00484-018-1512-8>; Templ et al. (2026) <doi:10.1111/nph.70869>) and similar observation networks. Implements station-level data quality grading, outlier detection, phenological normals (climate baselines), anomaly detection, elevation and latitude gradient estimation with robust regression, spatial synchrony quantification, partial least squares (PLS) regression for identifying temperature-sensitive periods, and sequential Mann-Kendall trend analysis. Supports data import from PEP725 files, conversion of user-supplied data, and downloadable synthetic datasets for teaching without barriers of registration. All analysis outputs provide 'print', 'summary', and 'plot' methods. Interactive spatial visualization is available via 'leaflet'.
Author: Matthias Templ [aut, cre] , Barbara Templ [aut]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

Diff between pep725 versions 1.0.0 dated 2026-03-09 and 1.0.2 dated 2026-03-31

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 12 files changed, 2705 insertions(+), 2684 deletions(-)

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Package OrgHeatmap updated to version 0.3.4 with previous version 0.3.3 dated 2026-03-15

Title: Visualization Tool for Numerical Data on Human/Mouse Organs and Organelles
Description: A tool for visualizing numerical data (e.g., gene expression, protein abundance) on predefined anatomical maps of human/mouse organs and subcellular organelles. It supports customization of color schemes, filtering by organ systems (for organisms) or organelle types, and generation of optional bar charts for quantitative comparison. The package integrates coordinate data for organs and organelles to plot anatomical/subcellular contours, mapping data values to specific structures for intuitive visualization of biological data distribution.The underlying method was described in the preprint by Zhou et al. (2022) <doi:10.1101/2022.09.07.506938>.
Author: Qirui Shen [aut, cre]
Maintainer: Qirui Shen <shenqr@i.smu.edu.cn>

Diff between OrgHeatmap versions 0.3.3 dated 2026-03-15 and 0.3.4 dated 2026-03-31

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 README.md                  |    2 +-
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 9 files changed, 30 insertions(+), 22 deletions(-)

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Package multiRL updated to version 0.3.7 with previous version 0.2.3 dated 2026-01-26

Title: Reinforcement Learning Tools for Multi-Armed Bandit
Description: A flexible general-purpose toolbox for implementing Rescorla-Wagner models in multi-armed bandit tasks. As the successor and functional extension of the 'binaryRL' package, 'multiRL' modularizes the Markov Decision Process (MDP) into six core components. This framework enables users to construct custom models via intuitive if-else syntax and define latent learning rules for agents. For parameter estimation, it provides both likelihood-based inference (MLE and MAP) and simulation-based inference (ABC and RNN), with full support for parallel processing across subjects. The workflow is highly standardized, featuring four main functions that strictly follow the four-step protocol (and ten rules) proposed by Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Beyond the three built-in models (TD, RSTD, and Utility), users can easily derive new variants by declaring which variables are treated as free parameters.
Author: YuKi [aut, cre] , Xinyu [aut]
Maintainer: YuKi <hmz1969a@gmail.com>

Diff between multiRL versions 0.2.3 dated 2026-01-26 and 0.3.7 dated 2026-03-31

 DESCRIPTION                   |   10 
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 99 files changed, 4122 insertions(+), 2713 deletions(-)

More information about multiRL at CRAN
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