Wed, 22 Apr 2026

Package Rdistance updated to version 4.4.0 with previous version 4.3.1 dated 2026-02-11

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

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Package Rmpi updated to version 0.7-3.4 with previous version 0.7-3.1 dated 2025-01-13

Title: Interface (Wrapper) to MPI (Message-Passing Interface)
Description: An interface (wrapper) to MPI. It also provides interactive R manager and worker environment.
Author: Hao Yu [aut, cre]
Maintainer: Hao Yu <hyu@stats.uwo.ca>

Diff between Rmpi versions 0.7-3.1 dated 2025-01-13 and 0.7-3.4 dated 2026-04-22

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Package nanotime updated to version 0.3.14 with previous version 0.3.13 dated 2026-03-09

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel [aut, cre] , Leonardo Silvestri [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package fastDummies updated to version 1.7.6 with previous version 1.7.5 dated 2025-01-20

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] , Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between fastDummies versions 1.7.5 dated 2025-01-20 and 1.7.6 dated 2026-04-22

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Package praatpicture updated to version 1.8.0 with previous version 1.7.0 dated 2025-12-08

Title: 'Praat Picture' Style Plots of Acoustic Data
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <rasmus.puggaard-rode@ling-phil.ox.ac.uk>

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Package ggmlR updated to version 0.7.6 with previous version 0.7.5 dated 2026-04-20

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package torchvision updated to version 0.9.0 with previous version 0.8.0 dated 2025-11-06

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and its API borrows heavily from the 'PyTorch' vision package.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], Christophe Regouby [ctb], Akanksha Koshti [ctb], Derrick Richard [ctb], ANAMASGARD [ctb], Chandraveer Singh [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package tok updated to version 0.2.2 with previous version 0.2.1 dated 2025-09-30

Title: Fast Text Tokenization
Description: Interfaces with the 'Hugging Face' tokenizers library to provide implementations of today's most used tokenizers such as the 'Byte-Pair Encoding' algorithm <https://huggingface.co/docs/tokenizers/index>. It's extremely fast for both training new vocabularies and tokenizing texts.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut], Regouby Christophe [ctb], Posit [cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between tok versions 0.2.1 dated 2025-09-30 and 0.2.2 dated 2026-04-22

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Package INLAtools updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-08

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://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 models [...truncated...]
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>

Diff between INLAtools versions 0.1.2 dated 2026-04-08 and 0.1.3 dated 2026-04-22

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Package ggtangle updated to version 0.1.2 with previous version 0.1.1 dated 2026-01-16

Title: Draw Network with Data
Description: Extends the 'ggplot2' plotting system to support network visualization. Inspired by the 'Method 1' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'ggtangle' is designed to work with network associated data.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggtangle versions 0.1.1 dated 2026-01-16 and 0.1.2 dated 2026-04-22

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Package ggforestplotR updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-25

Title: Publication-Ready Forest Plots with 'ggplot2'
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

Diff between ggforestplotR versions 0.1.0 dated 2026-03-25 and 0.1.1 dated 2026-04-22

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Package CDSim updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-15

Title: Simulating Climate Data for Research and Modelling
Description: Generate synthetic station-based monthly climate time-series including temperature and rainfall, export to Network Common Data Form (NetCDF), and provide visualization helpers for climate workflows. The approach is inspired by statistical weather generator concepts described in Wilks (1999) <doi:10.1016/S0168-1923(99)00037-4> and Richardson (1981) <doi:10.1029/WR017i001p00182>.
Author: Isaac Osei [aut, cre], Acheampong Baafi-Adomako [aut]
Maintainer: Isaac Osei <ikemillar65@gmail.com>

Diff between CDSim versions 0.1.1 dated 2025-12-15 and 0.1.2 dated 2026-04-22

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Package audubon updated to version 0.6.3 with previous version 0.6.2 dated 2026-01-09

Title: Japanese Text Processing Tools
Description: A collection of Japanese text processing tools for filling Japanese iteration marks, Japanese character type conversions, segmentation by phrase, and text normalization which is based on rules for the 'Sudachi' morphological analyzer and the 'NEologd' (Neologism dictionary for 'MeCab'). These features are specific to Japanese and are not implemented in 'ICU' (International Components for Unicode).
Author: Akiru Kato [cre, aut], Koki Takahashi [cph] , Shuhei Iitsuka [cph] , Taku Kudo [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

Diff between audubon versions 0.6.2 dated 2026-01-09 and 0.6.3 dated 2026-04-22

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Package TesiproV updated to version 0.9.6 with previous version 0.9.5 dated 2026-03-24

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. Have fun and enjoy. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

Diff between TesiproV versions 0.9.5 dated 2026-03-24 and 0.9.6 dated 2026-04-22

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New package spFFBS with initial version 0.0-2
Package: spFFBS
Title: Spatiotemporal Propagation for Multivariate Bayesian Dynamic Learning
Version: 0.0-2
Description: Implementation of the Forward Filtering Backward Sampling (FFBS) algorithm with Dynamic Bayesian Predictive Stacking (DYNBPS) integration for multivariate spatiotemporal models, as introduced in "Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling" (Presicce and Banerjee, 2026+) <doi:10.48550/arXiv.2602.08544>. This methodology enables efficient Bayesian multivariate spatiotemporal modeling, utilizing dynamic predictive stacking to improve inference across multivariate time series of spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatiotemporal data analysis in parallel computing environments.
LinkingTo: Rcpp, RcppArmadillo
Imports: spBPS, Rcpp (>= 1.1.1), foreach, tictoc, abind
Suggests: doParallel, mniw, MBA, ggplot2, patchwork, reshape2, knitr, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://lucapresicce.github.io/spFFBS/
NeedsCompilation: yes
Packaged: 2026-04-22 11:13:49 UTC; presi
Author: Luca Presicce [aut, cre]
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>
Repository: CRAN
Date/Publication: 2026-04-22 13:50:02 UTC

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New package slxr with initial version 0.1.1
Package: slxr
Title: Spatial-X (SLX) Models for Applied Researchers
Version: 0.1.1
Description: Tools for estimating, interpreting, and visualizing Spatial-X (SLX) regression models. Provides a formula-based interface with first-class support for variable-specific weights matrices, higher-order spatial lags, temporally-lagged spatial variables (TSLS), and tidy effects decomposition (direct, indirect, total). Designed to lower the barrier to SLX modeling for applied researchers who already work with 'sf' and 'lm'-style formulas. Methods follow Wimpy, Whitten, and Williams (2021) <doi:10.1086/710089>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: spdep, sf, Matrix, tibble, stats, generics, rlang
Suggests: ggplot2, modelsummary, broom, knitr, rmarkdown, testthat (>= 3.0.0), dplyr, tidyr, haven
VignetteBuilder: knitr
URL: https://github.com/cwimpy/slxr
BugReports: https://github.com/cwimpy/slxr/issues
NeedsCompilation: no
Packaged: 2026-04-20 21:41:04 UTC; cwimpy
Author: Cameron Wimpy [aut, cre]
Maintainer: Cameron Wimpy <cwimpy@astate.edu>
Repository: CRAN
Date/Publication: 2026-04-22 13:10:02 UTC

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New package scrutr with initial version 0.3.0
Package: scrutr
Title: Scrutinizing Collections of Structured Datasets
Version: 0.3.0
Description: Provides a coherent interface for exploring and transforming multiple related data frames that share a common structure. Complements single-dataset inspection tools by operating across an entire collection at once. Also includes lightweight utilities for related file and folder management tasks.
License: MIT + file LICENSE
URL: https://github.com/danielrak/scrutr
BugReports: https://github.com/danielrak/scrutr/issues
Depends: R (>= 4.1.0)
Imports: dplyr, glue, lubridate, magrittr, purrr, rio, stats, stringr, tibble, tools, utils, writexl
Suggests: knitr, readxl, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-22 13:04:15 UTC; rheri
Author: Daniel Rakotomalala [aut, cre]
Maintainer: Daniel Rakotomalala <rakdanielh@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:02 UTC

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New package RobustFlow with initial version 0.1.1
Package: RobustFlow
Title: Robustness and Drift Auditing for Longitudinal Decision Systems
Version: 0.1.1
Description: Provides tools for constructing longitudinal decision paths, quantifying temporal drift, tracking subgroup disparity trajectories, and stress-testing longitudinal conclusions under hidden bias. Implements three signature metrics: the Drift Intensity Index (DII), which measures structural instability in transition dynamics using the Frobenius norm of consecutive transition matrix differences; the Bias Amplification Index (BAI), which quantifies whether group disparities widen or converge over time; and the Temporal Fragility Index (TFI), which estimates the minimum hidden-bias perturbation required to nullify a longitudinal trend conclusion. An interactive 'shiny' application supports exploratory analysis, visualization, and reproducible reporting. Methods are motivated by applications in educational and social science research, including the Early Childhood Longitudinal Study (ECLS). The DII is based on the Frobenius norm as described in Golub and Van Loan (2013, ISBN:9781421407944). T [...truncated...]
Depends: R (>= 4.2.0)
Imports: shiny (>= 1.7.0), golem (>= 0.4.0), bslib (>= 0.5.0), ggplot2 (>= 3.4.0), DT (>= 0.27), plotly (>= 4.10.0), scales (>= 1.2.0), htmltools (>= 0.5.0), rmarkdown (>= 2.20), stats, tools, utils
Suggests: testthat (>= 3.0.0), knitr, covr, withr
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/RobustFlow
BugReports: https://github.com/causalfragility-lab/RobustFlow/issues
NeedsCompilation: no
Packaged: 2026-04-22 12:44:24 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:13 UTC

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New package rCoreGage with initial version 1.0.0
Package: rCoreGage
Title: Data Quality Check Framework for Clinical and Analytical Data
Version: 1.0.0
Description: A configuration-driven framework for running domain-level data quality checks and consolidating findings into structured Excel reports with role-based feedback routing. It supports trial-level and study-level checks across multiple data domains. Reports are routed to separate feedback channels for Data Management (DM), Medical Writing (MW), Study Data Tabulation Model (SDTM) programmers, and Analysis Data Model (ADaM) programmers, as well as other relevant data roles. Reviewer responses are incorporated automatically on re-run.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: readxl (>= 1.4.0), openxlsx (>= 4.2.5), dplyr (>= 1.1.0),
Suggests: haven (>= 2.5.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ganeshbabuNN/rCoreGage
BugReports: https://github.com/ganeshbabuNN/rCoreGage/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-04-22 08:44:36 UTC; ganes
Author: Ganesh Babu G [aut, cre]
Maintainer: Ganesh Babu G <ganeshbabu346@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:30:02 UTC

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New package randompack with initial version 0.1.3
Package: randompack
Title: Fast Random Number Generation with Multiple Engines and Distributions
Version: 0.1.3
Author: Kristjan Jonasson [aut, cre]
Maintainer: Kristjan Jonasson <jonasson@hi.is>
Description: Random number generation library implemented in C with multiple engines and distribution functions, providing an R interface focused on correctness, speed, and reproducibility. Supports various PRNGs including xoshiro256++/**, PCG64, Philox, and ChaCha20, with methods for continuous, discrete, and multivariate distributions.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: R6
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jonasson2/randompack
BugReports: https://github.com/jonasson2/randompack/issues
NeedsCompilation: yes
Packaged: 2026-04-22 09:55:36 UTC; jonasson
Repository: CRAN
Date/Publication: 2026-04-22 13:40:02 UTC

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New package OdysseusCharacterizationModule with initial version 0.0.1
Package: OdysseusCharacterizationModule
Title: Handy and Minimalistic Common Data Model Characterization
Version: 0.0.1
Description: Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) <doi:10.1038/sdata.2015.35> and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8).
License: Apache License (>= 2)
Depends: R (>= 4.1.0)
Imports: checkmate, DatabaseConnector, jsonlite, SqlRender, stats
Suggests: Andromeda, Eunomia, FeatureExtraction, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-22 07:31:59 UTC; AlexanderAleksiayuk
Author: Alexander Alexeyuk [aut, cre]
Maintainer: Alexander Alexeyuk <alexanderAlexeyuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:29 UTC

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New package NRMSampling with initial version 0.2.2
Package: NRMSampling
Title: Sampling Design and Estimation Methods for Natural Resource Management
Version: 0.2.2
Description: Provides functions for probability and non-probability sampling design, sample selection, and population estimation tailored to natural resource management. Probability methods include simple random sampling, stratified sampling, systematic sampling, cluster sampling, and probability-proportional-to-size sampling. Non-probability methods include convenience, judgement-based, and quota sampling. Estimation functions cover means, totals, ratio estimators, regression estimators, and the unequal-probability estimator of Horvitz and Thompson (1952, <doi:10.2307/2280784>) for unequal-probability designs. Utilities support biomass, soil-loss, and carbon-stock estimation from field plots. Spatial extensions provide random, systematic, stratified, and raster-weighted sampling within geographic polygons using the 'sf' and 'terra' packages, with extraction of remote-sensing covariates at sample locations. Applications include forest inventory, soil erosion monitoring, watershed studies, and [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: sf (>= 1.0.0), terra (>= 1.7.0), ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.18), covr, spelling
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 04:35:17 UTC; acer
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:10:14 UTC

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New package melidosData with initial version 1.0.6
Package: melidosData
Title: Load Data from the MeLiDos Field Study
Version: 1.0.6
Description: In the MeLiDos field study, personal light exposure data were collected in 9 sites, 7 countries, and 196 participants following the Guidolin et al. (2024) <doi:10.1186/s12889-024-20206-4> protocol. Data originate from wearable devices collecting personal light exposure at the eye level, chest, and the wrist. Questionnaires were collected via 'REDCap' and contain demographic information as well as chronotype, current conditions, sleep diaries, wear logs, and many more. This package makes loading the data from the respective repositories (<https://github.com/MeLiDosProject>) into R a breeze. It further contains some quality of life functions for label handling and data from 'REDCap'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, hms, lubridate, purrr, rlang, stringr, tibble
Suggests: gt, LightLogR, testthat (>= 3.0.0), vroom
URL: https://melidosproject.github.io/melidosData/, https://github.com/MeLiDosProject/melidosData, https://github.com/MeLiDosProject
BugReports: https://github.com/MeLiDosProject/melidosData/issues
NeedsCompilation: no
Packaged: 2026-04-22 12:38:41 UTC; zauner
Author: Johannes Zauner [aut, cre] , Manuel Spitschan [aut] , European Partnership on Metrology [fnd] has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme, EURA [...truncated...]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:08 UTC

More information about melidosData at CRAN
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New package mdbplyr with initial version 0.3.0
Package: mdbplyr
Title: A Native Lazy Analytical Backend for MongoDB
Version: 0.3.0
Description: Provides a disciplined, lazy subset of 'dplyr' semantics for MongoDB aggregation pipelines. Queries remain lazy until collect() and compile into MongoDB-native aggregation stages.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: cli, dplyr, jsonlite, rlang, tibble
Suggests: knitr, mongolite, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:55:56 UTC; p4010
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:02 UTC

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New package llmclean with initial version 0.1.0
Package: llmclean
Title: 'LLM'-Assisted Data Cleaning with Multi-Provider Support
Version: 0.1.0
Date: 2026-04-15
Author: Sadikul Islam [aut, cre]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Description: Detects and suggests fixes for semantic inconsistencies in data frames by calling large language models (LLMs) through a unified, provider-agnostic interface. Supported providers include 'OpenAI' ('GPT-4o', 'GPT-4o-mini'), 'Anthropic' ('Claude'), 'Google' ('Gemini'), 'Groq' (free-tier 'LLaMA' and 'Mixtral'), and local 'Ollama' models. The package identifies issues that rule-based tools cannot detect: abbreviation variants, typographic errors, case inconsistencies, and malformed values. Results are returned as tidy data frames with column, row index, detected value, issue type, suggested fix, and confidence score. An offline fallback using statistical and fuzzy-matching methods is provided for use without any API key. Interactive fix application with human review is supported via 'apply_fixes()'. Methods follow de Jonge and van der Loo (2013) <https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf> and Chaudhuri et al. (2003) <doi:1 [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: stats, utils, dplyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), httr2 (>= 1.0.0), jsonlite (>= 1.8.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 04:17:03 UTC; acer
Repository: CRAN
Date/Publication: 2026-04-22 13:10:09 UTC

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New package ivcheck with initial version 0.1.1
Package: ivcheck
Title: Tests for Instrumental Variable Validity
Version: 0.1.1
Description: Implements tests for the identifying assumptions of instrumental variable models, the local exclusion restriction and monotonicity conditions required for local average treatment effect identification. Covers Kitagawa (2015) <doi:10.3982/ECTA11974>, Mourifie and Wan (2017) <doi:10.1162/REST_a_00622>, and Frandsen, Lefgren, and Leslie (2023) <doi:10.1257/aer.20201860>. Includes a one-shot wrapper that runs all applicable tests on a fitted instrumental variable model. Dispatches on 'fixest' and 'ivreg' model objects.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli (>= 3.6.0), stats, parallel
Suggests: testthat (>= 3.0.0), fixest, ivreg, modelsummary, broom, spelling, knitr, rmarkdown
URL: https://github.com/charlescoverdale/ivcheck
BugReports: https://github.com/charlescoverdale/ivcheck/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:30:12 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:20:08 UTC

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New package IOBR with initial version 2.2.0
Package: IOBR
Title: Immune Oncology Biological Research
Version: 2.2.0
Description: Provides six modules for tumor microenvironment (TME) analysis based on multi-omics data. These modules cover data preprocessing, TME estimation, TME infiltrating patterns, cellular interactions, genome and TME interaction, and visualization for TME relevant features, as well as modelling based on key features. It integrates multiple microenvironmental analysis algorithms and signature estimation methods, simplifying the analysis and downstream visualization of the TME. In addition to providing a quick and easy way to construct gene signatures from single-cell RNA-seq data, it also provides a way to construct a reference matrix for TME deconvolution from single-cell RNA-seq data. The analysis pipeline and feature visualization are user-friendly and provide a comprehensive description of the complex TME, offering insights into tumour-immune interactions (Zeng D, et al. (2024) <doi:10.1016/j.crmeth.2024.100910>. Fang Y, et al. (2025) <doi:10.1002/mdr2.70001>).
License: GPL-3
URL: https://doi.org/10.3389/fimmu.2021.687975 (paper), https://iobr.github.io/book/ (docs), https://iobr.github.io/IOBR/
BugReports: https://github.com/IOBR/IOBR/issues
Depends: R (>= 3.6.0)
Imports: cli, dplyr, ggplot2, glmnet, GSVA, methods, purrr, rlang, stringr, survival, survminer, tibble, tidyr
Suggests: BiocParallel, biomaRt, circlize, clusterProfiler, ComplexHeatmap, corrplot, DESeq2, doParallel, DOSE, e1071, easier, enrichplot, factoextra, FactoMineR, foreach, ggdensity, ggpp, ggpubr, ggsci, gridExtra, Hmisc, knitr, limma, limSolve, maftools, MASS, Matrix, msigdbr, NbClust, org.Hs.eg.db, org.Mm.eg.db, patchwork, PMCMRplus, pracma, preprocessCore, prettydoc, pROC, psych, RColorBrewer, reshape2, rmarkdown, ROCR, sampling, scales, Seurat, SeuratObject, sva, testthat (>= 3.0.0), tidyHeatmap, timeROC, webr, WGCNA
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: FALSE
NeedsCompilation: no
Packaged: 2026-04-22 13:01:08 UTC; wsx
Author: Dongqiang Zeng [aut], Yiran Fang [aut], Shixiang Wang [aut, cre] , Qingcong Luo [aut], Hongqian Qian [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>
Repository: CRAN
Date/Publication: 2026-04-22 14:00:18 UTC

More information about IOBR at CRAN
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New package finlabR with initial version 1.0.0
Package: finlabR
Title: Portfolio Analytics and Simulation Toolkit
Version: 1.0.0
Description: Tools for portfolio construction and risk analytics, including mean-variance optimization, conditional value at risk (expected shortfall) minimization, risk parity, regime clustering, correlation analysis, Monte Carlo simulation, and option pricing. Includes utilities for portfolio evaluation, clustering, and risk reporting. Methods are based in part on Markowitz (1952) <doi:10.1111/j.1540-6261.1952.tb01525.x>, Rockafellar and Uryasev (2000) <doi:10.21314/JOR.2000.038>, Maillard et al. (2010) <doi:10.3905/jpm.2010.36.4.060>, Black and Scholes (1973) <doi:10.1086/260062>, and Cox et al. (1979) <doi:10.1016/0304-405X(79)90015-1>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, utils, quadprog, ggplot2, PerformanceAnalytics, zoo, class, quantmod, reshape2, mclust, shiny
Suggests: bslib, TTR, DT, xts, yfR, cryptoQuotes, tidyquant, Rtsne, umap, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 06:38:54 UTC; suyashjindal
Author: Suyash Jindal [aut, cre]
Maintainer: Suyash Jindal <jindalsuyash7@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-04-22 13:20:14 UTC

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New package factorana with initial version 1.2.0
Package: factorana
Title: Factor Model Estimation with Latent Variables
Version: 1.2.0
Description: A flexible framework for estimating factor models with multiple latent variables. Supports linear, probit, ordered probit, and multinomial logit model components. Features include multi-stage estimation, automatic parameter initialization, analytical gradients and Hessians, and parallel estimation. Methods are described in Heckman, Humphries, and Veramendi (2016) <doi:10.1016/j.jeconom.2015.12.001>, Heckman, Humphries, and Veramendi (2018) <doi:10.1086/698760>, and Humphries, Joensen, and Veramendi (2024) <doi:10.1257/pandp.20241026>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), MASS, nnet, parallel, stats, utils
LinkingTo: Rcpp, RcppEigen
Suggests: doParallel, foreach, jsonlite, knitr, nloptr, rmarkdown, testthat (>= 3.0.0), trustOptim
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-22 09:54:03 UTC; mendi
Author: Greg Veramendi [aut, cre], Jess Xiong [aut]
Maintainer: Greg Veramendi <greg.veramendi@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 13:40:08 UTC

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New package dcvar with initial version 0.1.0
Package: dcvar
Title: Dynamic Copula VAR Models for Time-Varying Dependence
Version: 0.1.0
Description: Fits Bayesian copula vector autoregressive models for bivariate time series with dynamic, regime-switching, and constant dependence structures. The package includes simulation, data preparation, estimation with 'Stan' through 'rstan' or 'cmdstanr', posterior summaries, diagnostics, trajectory extraction, fitted and predictive summaries, and approximate leave-one-out cross-validation model comparison for supported fits. For Bayesian computation and model comparison, see Carpenter et al. (2017) <doi:10.18637/jss.v076.i01> and Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.
License: GPL (>= 3)
URL: https://github.com/benlug/dcvar
BugReports: https://github.com/benlug/dcvar/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: rstan (>= 2.26.0), posterior (>= 1.5.0), loo (>= 2.7.0), ggplot2 (>= 3.4.0), patchwork (>= 1.1.0), bayesplot (>= 1.10.0), rlang (>= 1.0.0), cli (>= 3.0.0), parallel, stats, tools, utils
Suggests: cmdstanr (>= 0.8.0), testthat (>= 3.0.0), knitr, rmarkdown, withr, sn
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-22 11:15:01 UTC; benediktlugauer
Author: Benedikt Lugauer [aut, cre]
Maintainer: Benedikt Lugauer <benedikt.lugauer@uni-leipzig.de>
Repository: CRAN
Date/Publication: 2026-04-22 13:50:08 UTC

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Package SCIproj updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-18

Title: Creates a Scientific Project Skeleton as an R Package
Description: Provides a template for new research projects structured as an R package-based research compendium. Everything - data, R scripts, custom functions and manuscript or reports - is contained within the same package to facilitate collaboration and promote reproducible research, following the FAIR principles.
Author: Saskia Otto [aut, cre, cph]
Maintainer: Saskia Otto <saskia.a.otto@gmail.com>

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Package RDesk updated to version 1.0.5 with previous version 1.0.4 dated 2026-03-31

Title: Native Desktop App Framework for 'R'
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.
Author: Janakiraman G [aut, cre] , Serge Zaitsev [cph] ), Niels Lohmann [cph] ), Microsoft Corporation [cph] )
Maintainer: Janakiraman G <janakiraman.bt@gmail.com>

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Package GREENeR updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-11

Title: Geospatial Regression Equation for European Nutrient Losses (GREEN)
Description: Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Author: A. Udias [aut], B. Grizzetti [aut], O. Vigiak [aut], J. Gomez [aut], C. Alfaro [aut, cre], A. Aloe [aut]
Maintainer: C. Alfaro <c.alfarog@gmail.com>

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Package ggguides updated to version 1.1.5 with previous version 1.1.4 dated 2026-01-09

Title: Simplified Legend and Guide Alignment for 'ggplot2'
Description: Provides one-liner functions for common legend and guide operations in 'ggplot2'. Simplifies legend positioning, styling, wrapping, and collection across multi-panel plots created with 'patchwork' or 'cowplot'.
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package extraDistr updated to version 1.10.0.3 with previous version 1.10.0.2 dated 2026-01-18

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zer [...truncated...]
Author: Tymoteusz Wolodzko [aut], Sigbert Klinke [cre], Thomas Farrar [ctb]
Maintainer: Sigbert Klinke <sigbert@wiwi.hu-berlin.de>

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Package dvir updated to version 3.4.0 with previous version 3.3.0 dated 2024-09-09

Title: Disaster Victim Identification
Description: Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [aut]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package aftables updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-20

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

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Package tuple (with last version 0.4-02) was removed from CRAN

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

2014-10-31 0.4-02
2014-08-22 0.4-01
2014-07-14 0.3-06

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Package welchADF (with last version 0.3.2) was removed from CRAN

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

2019-09-08 0.3.2
2019-05-11 0.3.1
2018-06-01 0.3
2017-10-14 0.2
2017-04-23 0.1

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Package ART (with last version 1.0) was removed from CRAN

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2015-08-12 1.0

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Package localsolver (with last version 2.3) was removed from CRAN

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

2014-06-17 2.3

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Package gamlss.demo (with last version 4.3-3) was removed from CRAN

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

2015-07-16 4.3-3
2015-02-04 4.3-1
2014-01-11 4.2-7
2012-02-15 4.1-0
2010-10-16 4.0-4
2010-06-27 4.0-3
2010-05-25 4.0-0

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Package rFerns (with last version 5.0.0) was removed from CRAN

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

2021-09-22 5.0.0
2020-08-17 4.0.0
2018-07-16 3.0.0
2017-11-15 2.0.3
2016-07-22 2.0.2
2016-05-20 2.0.1
2015-12-03 2.0.0
2014-11-30 1.1.0
2014-11-11 1.0.0
2014-03-24 0.3.3
2014-02-18 0.3.2
2013-04-23 0.3.1
2012-01-18 0.3
2012-01-02 0.2
2011-12-30 0.1

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Package rethinker (with last version 1.1.0) was removed from CRAN

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2017-11-13 1.1.0
2015-12-10 1.0.0

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Package FuzzyLP (with last version 0.1-7) was removed from CRAN

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2023-08-20 0.1-7
2021-04-11 0.1-6
2017-08-17 0.1-5
2017-06-25 0.1-4
2015-07-08 0.1-3

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Package rtape (with last version 2.2) was removed from CRAN

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

2012-07-31 2.2
2012-05-22 2.1
2012-04-25 2.0
2012-03-27 1.2
2011-05-11 1.0

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Package rtematres (with last version 0.2) was removed from CRAN

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

2013-08-23 0.2
2013-08-13 0.1

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Package SASmixed (with last version 1.0-4) was removed from CRAN

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

2014-03-11 1.0-4
2013-09-23 1.0-3
2011-10-17 1.0-1
2011-02-17 1.0-0
2009-10-26 0.5-1
2008-06-26 0.4-4
2006-10-20 0.4-2

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Package laketemps (with last version 0.5.1) was removed from CRAN

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2015-02-28 0.5.1

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Package gamlss.foreach (with last version 1.1-6) was removed from CRAN

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2022-08-28 1.1-6
2021-11-25 1.1-3

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Package SRCS (with last version 1.1) was removed from CRAN

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2015-07-02 1.1
2015-01-01 1.0

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Package soilassessment updated to version 1.3.0 with previous version 0.3.2 dated 2026-04-13

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

Diff between soilassessment versions 0.3.2 dated 2026-04-13 and 1.3.0 dated 2026-04-22

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Package processx updated to version 3.9.0 with previous version 3.8.7 dated 2026-04-01

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>

Diff between processx versions 3.8.7 dated 2026-04-01 and 3.9.0 dated 2026-04-22

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More information about processx at CRAN
Permanent link

Package pkggraph updated to version 0.3.1 with previous version 0.3.0 dated 2026-02-23

Title: Explore the R Package Dependencies on the Comprehensive R Archive Network (CRAN) Like Repositories
Description: Explore various dependencies of a packages (on the Comprehensive R Archive Network Like repositories). The functions get_neighborhood() and get_dependencies() provide dependencies of packages and as_graph() can be used to convert into a 'igraph' object for further analysis and plotting.
Author: Komala Sheshachala Srikanth [aut, cre], Singh Nikhil [aut]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

Diff between pkggraph versions 0.3.0 dated 2026-02-23 and 0.3.1 dated 2026-04-22

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Package S7 updated to version 0.2.2 with previous version 0.2.1-1 dated 2026-04-15

Title: An Object Oriented System Meant to Become a Successor to S3 and S4
Description: A new object oriented programming system designed to be a successor to S3 and S4. It includes formal class, generic, and method specification, and a limited form of multiple dispatch. It has been designed and implemented collaboratively by the R Consortium Object-Oriented Programming Working Group, which includes representatives from R-Core, 'Bioconductor', 'Posit'/'tidyverse', and the wider R community.
Author: Object-Oriented Programming Working Group [cph], Davis Vaughan [aut], Jim Hester [aut] , Tomasz Kalinowski [aut], Will Landau [aut], Michael Lawrence [aut], Martin Maechler [aut] , Luke Tierney [aut], Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between S7 versions 0.2.1-1 dated 2026-04-15 and 0.2.2 dated 2026-04-22

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Package ggseg3d updated to version 2.1.1 with previous version 2.1.0 dated 2026-04-09

Title: Interactive 3D Brain Atlas Visualization
Description: Plot brain atlases as interactive 3D meshes using 'Three.js' via 'htmlwidgets', or render publication-quality static images through 'rgl' and 'rayshader'. A pipe-friendly API lets you map data onto brain regions, control camera angles, toggle region edges, overlay glass brains, and snapshot or ray-trace the result. Additional atlases are available through the 'ggsegverse' r-universe. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Center for Lifespan Changes in Brain and Cognition , University of Oslo [cph], three.js authors [ctb, cph]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

Diff between ggseg3d versions 2.1.0 dated 2026-04-09 and 2.1.1 dated 2026-04-22

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More information about ggseg3d at CRAN
Permanent link

Package vartest updated to version 1.5 with previous version 1.4 dated 2026-04-07

Title: Tests for Variance Homogeneity
Description: Performs 18 omnibus tests yielding a total of 28 distinct methodological variations for testing the composite hypothesis of variance homogeneity.
Author: Gozde Cosar [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between vartest versions 1.4 dated 2026-04-07 and 1.5 dated 2026-04-22

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Package highcharter updated to version 0.9.5 with previous version 0.9.4 dated 2022-01-03

Title: A Wrapper for the 'Highcharts' Library
Description: A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <https://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Author: Joshua Kunst [aut, cre], Nuno Agostinho [ctb] , Danton Noriega [ctb] , Martin John Hadley [ctb] , Eduardo Flores [ctb] , Dean Kilfoyle [ctb] , Adline Dsilva [ctb] , Kamil Slowikowski [ctb] , Christian Minich [ctb] , Jonathan Armond [ctb] , David Breu [...truncated...]
Maintainer: Joshua Kunst <jbkunst@gmail.com>

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 highcharter-0.9.5/highcharter/man/random_id.Rd                                                 |   32 
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More information about highcharter at CRAN
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Package ggplot2 updated to version 4.0.3 with previous version 4.0.2 dated 2026-02-03

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ggplot2 versions 4.0.2 dated 2026-02-03 and 4.0.3 dated 2026-04-22

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Package curl updated to version 7.1.0 with previous version 7.0.0 dated 2025-08-19

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 7.0.0 dated 2025-08-19 and 7.1.0 dated 2026-04-22

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More information about curl at CRAN
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New package weightederm with initial version 0.1.0
Package: weightederm
Title: Weighted Empirical Risk Minimization for Changepoint Regression
Version: 0.1.0
Description: R interface to the 'weightederm' package for 'Python', which provides 'scikit-learn'-style estimators for offline change point regression (data segmentation) via weighted empirical risk minimization. Supports least-squares, Huber, and logistic losses with fixed or cross-validated numbers of change points. Wraps 'Python' via 'reticulate'. Arpino and Venkataramanan (2026) <doi:10.48550/arXiv.2604.11746>.
License: Apache License (>= 2.0)
URL: https://github.com/gabrielarpino/weightederm-r
BugReports: https://github.com/gabrielarpino/weightederm-r/issues
Imports: reticulate (>= 1.28)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
SystemRequirements: Python (>= 3.9), weightederm Python package
NeedsCompilation: no
Packaged: 2026-04-21 21:45:01 UTC; gabrielarpino
Author: Gabriel Arpino [aut, cre]
Maintainer: Gabriel Arpino <arpino.gabriel@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:02 UTC

More information about weightederm at CRAN
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Package utsf updated to version 1.3.3 with previous version 1.3.2 dated 2026-04-14

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between utsf versions 1.3.2 dated 2026-04-14 and 1.3.3 dated 2026-04-22

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More information about utsf at CRAN
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New package wARMASVp with initial version 0.1.0
Package: wARMASVp
Title: Winsorized ARMA Estimation for Higher-Order Stochastic Volatility Models
Version: 0.1.0
Description: Estimation, simulation, hypothesis testing, and forecasting for univariate higher-order stochastic volatility SV(p) models. Supports Gaussian, Student-t, and Generalized Error Distribution (GED) innovations, with optional leverage effects. Estimation uses closed-form Winsorized ARMA-SV (W-ARMA-SV) moment-based methods that avoid numerical optimization. Hypothesis testing includes Local Monte Carlo (LMC) and Maximized Monte Carlo (MMC) procedures for leverage effects, heavy tails, and autoregressive order selection. Forecasting is based on Kalman filtering and smoothing. See Ahsan and Dufour (2021) <doi:10.1016/j.jeconom.2020.01.018>, Ahsan, Dufour, and Rodriguez Rondon (2025) for details.
License: GPL (>= 3)
URL: https://github.com/roga11/wARMASVp
BugReports: https://github.com/roga11/wARMASVp/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), gsignal, stats
Suggests: pso, GenSA, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-21 20:58:28 UTC; gabrielrodriguez
Author: Gabriel Rodriguez Rondon [aut, cre] , Nazmul Ahsan [aut], Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:08 UTC

More information about wARMASVp at CRAN
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New package ucminfcpp with initial version 1.0.0
Package: ucminfcpp
Title: 'C++' Reimplementation of the 'ucminf' Unconstrained Nonlinear Optimizer
Version: 1.0.0
Description: A modern 'C++17/ reimplementation of the 'UCMINF/ algorithm for unconstrained nonlinear optimization (Nielsen and Mortensen, 2011, <doi:10.32614/CRAN.package.ucminf>), offering full API compatibility with the original 'ucminf' R package but developed independently. The optimizer core has been rewritten in 'C' with a modern header-only 'C++17' interface, zero-allocation line search, and an 'Rcpp' interface. The goal is numerical equivalence with improved performance, reproducibility, and extensibility. Includes extensive test coverage, performance regression tests, and compatibility checks against 'ucminf'. This package is not affiliated with the original maintainers but acknowledges their authorship of the algorithm and the original R interface.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp (>= 1.1.0)
Suggests: testthat (>= 3.0.0), ucminf, microbenchmark
URL: https://github.com/alrobles/ucminfcpp, https://alrobles.github.io/ucminfcpp/
BugReports: https://github.com/alrobles/ucminfcpp/issues
NeedsCompilation: yes
Packaged: 2026-04-22 02:53:28 UTC; alrob
Author: Angel Luis Robles Fernandez [aut, cre], Hans Bruun Nielsen [cph] ), Rex Brown [ctb] , K Herve Dakpo [ctb]
Maintainer: Angel Luis Robles Fernandez <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-22 09:00:02 UTC

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New package tinypkgr with initial version 0.2.1
Package: tinypkgr
Title: Minimal R Package Development Utilities
Version: 0.2.1
Description: Lightweight wrappers around 'R CMD INSTALL', 'R CMD check', 'R CMD build', 'win-builder' uploads, and 'CRAN' submission. Provides functions for installing, loading, checking, building, and submitting R packages with minimal dependencies (only 'curl' for uploads). Background on R package development is in Wickham and Bryan (2023, ISBN:9781098134945), "Writing R Extensions" <https://cran.r-project.org/doc/manuals/R-exts.html>, and the 'CRAN' Repository Policy <https://cran.r-project.org/web/packages/policies.html>.
License: GPL-3
URL: https://github.com/cornball-ai/tinypkgr
BugReports: https://github.com/cornball-ai/tinypkgr/issues
Encoding: UTF-8
Imports: curl
Suggests: tinyrox, tinytest
NeedsCompilation: no
Packaged: 2026-04-22 00:50:16 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-04-22 08:50:02 UTC

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Package Seurat updated to version 5.5.0 with previous version 5.4.0 dated 2025-12-14

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] , Saket Choudhary [ctb] , David Collins [ctb] , Charlotte Darby [ctb] , Jeff Farrell [ctb], Isabella Grabski [ctb] , Christoph Hafemeister [ctb] , Yuhan Hao [ctb] , Austin Hartman [ctb] , Paul Hoffman [ctb] , Jaison Jain [ctb] , L [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

Diff between Seurat versions 5.4.0 dated 2025-12-14 and 5.5.0 dated 2026-04-22

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More information about Seurat at CRAN
Permanent link

Package rtables updated to version 0.6.16 with previous version 0.6.15 dated 2025-12-14

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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

Title: Detection of Chromosomal Aneuploidies in Ancient DNA Studies
Description: An R implementation of ChASM (Chromosomal Aneuploidy Screening Methodology): a statistically rigorous Bayesian approach for screening data sets for autosomal and sex chromosomal aneuploidies. This package takes as input the number of (deduplicated) reads mapping to chromosomes 1-22 and the X and Y chromosomes, and models these using a Dirichlet-multinomial distribution. From this, This package returns posterior probabilities of sex chromosomal karyotypes (XX, XY, XXY, XYY, XXX and X) and full autosomal aneuploidies (trisomy 13, trisomy 18 and trisomy 21). This package also returns two diagnostic statistics: (i) a posterior probability addressing whether contamination between XX and XY may explain the observed sex chromosomal aneuploidy, and (ii) a chi-squared statistic measuring whether the observed read counts are too divergent from the underlying distribution (and may represent abnormal sequencing/quality issues).
Author: Adam B. Rohrlach [aut, cph] , Jono Tuke [aut, cre] , Wolfgang Haak [aut]
Maintainer: Jono Tuke <simon.tuke@adelaide.edu.au>

Diff between RChASM versions 1.0.0 dated 2026-03-03 and 1.0.1 dated 2026-04-22

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Package qs2 updated to version 0.2.0 with previous version 0.1.7 dated 2026-01-20

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs2 versions 0.1.7 dated 2026-01-20 and 0.2.0 dated 2026-04-22

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Package olsrr updated to version 0.7.0 with previous version 0.6.1 dated 2024-11-06

Title: Tools for Building OLS Regression Models
Description: Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

Diff between olsrr versions 0.6.1 dated 2024-11-06 and 0.7.0 dated 2026-04-22

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New package hanyupinyin with initial version 0.1.1
Package: hanyupinyin
Title: Convert Chinese Characters into Hanyu Pinyin
Version: 0.1.1
Description: Convert Chinese characters into Hanyu Pinyin (the official romanization system for Standard Chinese) with support for tones, toneless output, initials, URL slugs, and valid R variable names. The package was inspired by the now-orphaned CRAN package 'pinyin' (archived in April 2026 after the maintainer became unreachable). 'hanyupinyin' is a ground-up rewrite using the authoritative Unicode Unihan database, a vectorized engine, and modern R practices. Dictionary data are derived from the Unicode Unihan Database (Unicode Consortium, 2025) <https://www.unicode.org/reports/tr38/>.
License: MIT + file LICENSE
URL: https://github.com/CuiHR17/hanyupinyin
BugReports: https://github.com/CuiHR17/hanyupinyin/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: stringi
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-04-22 01:54:24 UTC; cuihaoran
Author: Haoran Cui [aut, cre]
Maintainer: Haoran Cui <hao.ran.cui@ktstat.com>
Repository: CRAN
Date/Publication: 2026-04-22 08:50:07 UTC

More information about hanyupinyin at CRAN
Permanent link

New package GLMBasedRaschEstimation with initial version 0.1.2
Package: GLMBasedRaschEstimation
Title: GLM-Based Estimation for Rasch Model Parameters
Version: 0.1.2
Description: Provides functions for estimating Rasch model parameters using the Generalized Linear Model (GLM) framework. The methods implemented are based on Brown (2018, ISBN:978-3-319-93547-8) <doi:10.1007/978-3-319-93549-2> and Debelak et al. (2022, ISBN:978-1-138-71046-7) <doi:10.1201/9781315200620>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, stats
URL: https://github.com/DrAhmedSamir/GLMBasedRaschEstimation
BugReports: https://github.com/DrAhmedSamir/GLMBasedRaschEstimation/issues
NeedsCompilation: no
Packaged: 2026-04-21 21:09:02 UTC; Tabarak
Author: Ahmed Samir Megahed [aut, cre], Mustafa Ali Khalaf [aut], Ibraheem Mohamed Mougy [aut]
Maintainer: Ahmed Samir Megahed <Asamir@foe.zu.edu.eg>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:20 UTC

More information about GLMBasedRaschEstimation at CRAN
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New package EpiNova with initial version 0.1.0
Package: EpiNova
Title: Flexible Extended State-Space Epidemiological Models with Modern Inference
Version: 0.1.0
Description: An extended epidemiological modelling framework that goes beyond the classical SIR (Susceptible-Infectious-Recovered) model. Supports SEIR (Susceptible-Exposed-Infectious-Recovered), SEIRD (Susceptible-Exposed-Infectious-Recovered-Deceased), SVEIRD (Susceptible-Vaccinated-Exposed-Infectious-Recovered-Deceased), and age-stratified compartmental models with flexible intervention functions (spline-based, Gaussian process, or user-defined). Inference is available via maximum likelihood or sequential Monte Carlo (SMC, also known as particle filtering) with no external binary dependencies. Includes a dependency-free real-time effective reproduction number (Rt) estimator, spatial multi-patch models with gravity-model mobility, ensemble forecasting via Bayesian model averaging (BMA), and proper scoring rules including CRPS (Continuous Ranked Probability Score), coverage, and MAE (Mean Absolute Error) for forecast evaluation. Methods follow Anderson and May (1991, ISBN:9780198545996), Doucet, d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: deSolve, ggplot2, dplyr, tidyr, splines, scales
Suggests: DEoptim, MASS, numDeriv, rstan, TMB, EpiEstim, knitr, rmarkdown, testthat (>= 3.0.0), ggpubr, patchwork
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/EpiNova
BugReports: https://github.com/causalfragility-lab/EpiNova/issues
NeedsCompilation: no
Packaged: 2026-04-21 22:48:21 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-22 08:20:26 UTC

More information about EpiNova at CRAN
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Package valdr updated to version 3.0.0 with previous version 2.2.0 dated 2026-02-25

Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation on integrating with 'VALD' 'APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

Diff between valdr versions 2.2.0 dated 2026-02-25 and 3.0.0 dated 2026-04-22

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More information about valdr at CRAN
Permanent link

New package spopt with initial version 0.1.2
Package: spopt
Title: Spatial Optimization for Regionalization, Facility Location, and Market Analysis
Version: 0.1.2
Date: 2026-04-16
Description: Implements spatial optimization algorithms across several problem families including contiguity-constrained regionalization, discrete facility location, market share analysis, and least-cost corridor and route optimization over raster cost surfaces. Facility location problems also accept user-supplied network travel-time matrices. Uses a 'Rust' backend via 'extendr' for graph and routing algorithms, and the 'HiGHS' solver via the 'highs' package for facility location mixed-integer programs. Method-level references are provided in the documentation of the individual functions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: sf, spdep, Matrix, highs
Suggests: testthat (>= 3.0.0), terra, dodgr, r5r, knitr, rmarkdown, quarto, tidycensus, tidyverse, mapgl
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
URL: https://walker-data.com/spopt-r/, https://github.com/walkerke/spopt-r
BugReports: https://github.com/walkerke/spopt-r/issues
Depends: R (>= 4.2)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-04-16 21:56:40 UTC; kylewalker
Author: Kyle Walker [aut, cre], PySAL Developers [cph]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2026-04-22 07:40:02 UTC

More information about spopt at CRAN
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Package jackstraw readmission to version 1.3.21 with previous version 1.3.17 dated 2024-09-16

Title: Statistical Inference for Unsupervised Learning
Description: Test for association between the observed data and their estimated latent variables. The jackstraw package provides a resampling strategy and testing scheme to estimate statistical significance of association between the observed data and their latent variables. Depending on the data type and the analysis aim, the latent variables may be estimated by principal component analysis (PCA), factor analysis (FA), K-means clustering, and related unsupervised learning algorithms. The jackstraw methods learn over-fitting characteristics inherent in this circular analysis, where the observed data are used to estimate the latent variables and used again to test against that estimated latent variables. When latent variables are estimated by PCA, the jackstraw enables statistical testing for association between observed variables and latent variables, as estimated by low-dimensional principal components (PCs). This essentially leads to identifying variables that are significantly associated with PC [...truncated...]
Author: Neo Christopher Chung [aut, cre] , John D. Storey [aut] , Wei Hao [aut], Alejandro Ochoa [aut]
Maintainer: Neo Christopher Chung <nchchung@gmail.com>

This is a re-admission after prior archival of version 1.3.17 dated 2024-09-16

Diff between jackstraw versions 1.3.17 dated 2024-09-16 and 1.3.21 dated 2026-04-22

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 21 files changed, 189 insertions(+), 48 deletions(-)

More information about jackstraw at CRAN
Permanent link

Package EvaluateCore updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-18

Title: Quality Evaluation of Core Collections
Description: Implements various quality evaluation statistics to assess the value of plant germplasm core collections using qualitative and quantitative phenotypic trait data according to Odong et al. (2015) <doi:10.1007/s00122-012-1971-y>.
Author: J. Aravind [aut, cre] , Vikender Kaur [aut] , Dhammaprakash Pandhari Wankhede [aut] , Joghee Nanjundan [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>

Diff between EvaluateCore versions 0.1.4 dated 2025-12-18 and 0.1.5 dated 2026-04-22

 DESCRIPTION                      |   12 
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 NEWS.md                          |    8 
 R/EvaluateCore-deprecated.R      |    2 
 R/bar.evaluate.core.R            |    2 
 R/box.evaluate.core.R            |    2 
 R/cassava_CC.R                   |    2 
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More information about EvaluateCore at CRAN
Permanent link

Package bunddev readmission to version 0.2.3 with previous version 0.2.1 dated 2026-02-16

Title: Discover and Call 'Bund.dev' APIs
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy data frames for supported APIs, with optional response caching and rate limiting guidance.
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

This is a re-admission after prior archival of version 0.2.1 dated 2026-02-16

Diff between bunddev versions 0.2.1 dated 2026-02-16 and 0.2.3 dated 2026-04-22

 DESCRIPTION                                    |   10 
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Package archeofrag updated to version 1.2.4 with previous version 1.2.3 dated 2025-09-26

Title: Spatial Analysis in Archaeology from Refitting Fragments
Description: Methods to analyse spatial units in archaeology from the refitting relationships between fragments of objects scattered in these units (e.g. stratigraphic layers). Graphs are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, visualise, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. A series of published empirical datasets is included. Documentation about 'archeofrag' is provided by a vignette and by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>). This package is complemented by the 'archeofrag.gui' R package, a companion GUI application available at <https://analytics.huma-num.fr/Seba [...truncated...]
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package WeightIt updated to version 1.7.0 with previous version 1.6.0 dated 2026-03-19

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any optional package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 1.6.0 dated 2026-03-19 and 1.7.0 dated 2026-04-22

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Package tweedie updated to version 3.0.19 with previous version 3.0.17 dated 2026-02-27

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

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Package mop updated to version 0.1.4 with previous version 0.1.3 dated 2025-04-24

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation as in Cobos et al. (2024) <doi:10.21425/fob.17.132916>.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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Package metacore updated to version 0.3.0 with previous version 0.2.1 dated 2025-07-21

Title: A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows
Description: Create an immutable container holding metadata for the purpose of better enabling programming activities and functionality of other packages within the clinical programming workflow.
Author: Liam Hobby [aut, cre], Christina Fillmore [aut] , Bill Denney [aut], Maya Gans [aut] , Ashley Tarasiewicz [aut], Mike Stackhouse [aut] , Tamara Senior [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Liam Hobby <liam.f.hobby@gsk.com>

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Package jose updated to version 2.0.0 with previous version 1.2.1 dated 2024-10-04

Title: JavaScript Object Signing and Encryption
Description: Read and write JSON Web Keys (JWK, rfc7517), generate and verify JSON Web Signatures (JWS, rfc7515) and encode/decode JSON Web Tokens (JWT, rfc7519) <https://datatracker.ietf.org/wg/jose/documents/>. These standards provide modern signing and encryption formats that are natively supported by browsers via the JavaScript WebCryptoAPI <https://www.w3.org/TR/webcrypto/#jose>, and used by services like OAuth 2.0, LetsEncrypt, and Github Apps.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package ds4psy updated to version 1.3.0 with previous version 1.2.0 dated 2025-11-05

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2026, <doi:10.5281/zenodo.7229812>), freely available at <https://hneth-ds4psy.share.connect.posit.cloud/>. The book and corresponding courses introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be explicit and instructive, rather than efficient or elegant.
Author: Hansjoerg Neth [aut, cre]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package detzrcr updated to version 0.3.2 with previous version 0.3.1 dated 2020-07-23

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

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Package pkgload updated to version 1.5.2 with previous version 1.5.1 dated 2026-04-01

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>

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Package ncdfgeom updated to version 1.2.2 with previous version 1.1.6 dated 2024-01-25

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package htmlTable updated to version 2.5.0 with previous version 2.4.3 dated 2024-07-20

Title: Advanced Tables for Markdown/HTML
Description: Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with common word processors. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
Author: Max Gordon [aut, cre], Stephen Gragg [aut], Peter Konings [aut]
Maintainer: Max Gordon <max@gforge.se>

Diff between htmlTable versions 2.4.3 dated 2024-07-20 and 2.5.0 dated 2026-04-22

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