Mon, 30 Mar 2026

Package splineplot updated to version 0.3.0 with previous version 0.2.1 dated 2025-11-19

Title: Visualization of Spline Effects in GAM and GLM Models
Description: Creates 'ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models) fitted with 'mgcv' and spline effects from GLM (Generalized Linear Models). Supports survey-weighted models ('svyglm', 'svycoxph') from the 'survey' package, interaction terms, and provides hazard ratio plots with histograms for survival analysis. Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between splineplot versions 0.2.1 dated 2025-11-19 and 0.3.0 dated 2026-03-30

 DESCRIPTION        |   19 ++---
 MD5                |   12 +--
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 NEWS.md            |   19 +++++
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 7 files changed, 207 insertions(+), 36 deletions(-)

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New package splinemixmeta with initial version 1.0.0
Package: splinemixmeta
Title: Additive Mixed Meta-Analysis with Spline Meta-Regression
Version: 1.0.0
Description: Fit additive mixed meta-analysis (AMMA) models, extending the 'mixmeta' package <https://cran.r-project.org/package=mixmeta> to allow for spline-based meta-regression. Functions combine features of 'mgcv' <https://cran.r-project.org/package=mgcv> for building spline components and 'mixmeta' for estimating general mixed-effects meta-analysis models.
License: GPL (>= 3)
Encoding: UTF-8
URL: <https://github.com/perrydv/splinemixmeta>
BugReports: https://github.com/perrydv/splinemixmeta/issues
Depends: R (>= 4.1)
Imports: ggplot2, mgcv, mixmeta
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 12:14:50 UTC; mbeck
Author: Perry de Valpine [aut] , Marcus Beck [aut, cre]
Maintainer: Marcus Beck <mbeck@tbep.org>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:02 UTC

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New package sparseLM with initial version 0.5
Package: sparseLM
Title: Interface to the 'sparseLM' Levenberg-Marquardt Library
Version: 0.5
Description: Provides an R interface to the 'sparseLM' C library for large-scale nonlinear least squares problems with arbitrarily sparse Jacobians. The underlying solver implements a sparse variant of the Levenberg-Marquardt algorithm for minimizing sum-of-squares objective functions, supports user-supplied analytic Jacobians or finite-difference approximation, and is designed to exploit sparsity for improved memory use and performance. This package exposes the solver in R and uses sparse matrix classes and the 'CHOLMOD' sparse Cholesky factorization routines through the 'Matrix' package interface. Methods from the C library are described in Lourakis (2010) <doi:10.1007/978-3-642-15552-9_4>.
URL: https://github.com/smith-group/sparseLM, https://smith-group.github.io/sparseLM/
Depends: Matrix
Imports: methods
LinkingTo: Matrix
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-25 13:46:11 UTC; colin
Author: Colin Smith [aut, cre] , Manolis Lourakis [aut]
Maintainer: Colin Smith <colin.smith@wesleyan.edu>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:08 UTC

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Package secretbase updated to version 1.2.1 with previous version 1.2.0 dated 2026-02-05

Title: Cryptographic Hash, Extendable-Output and Binary/Text Encoding Functions
Description: Fast and memory-efficient streaming hash functions, binary/text encoding and serialization. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implements the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), 'SipHash' pseudo-random function, base64 and base58 encoding, 'CBOR' and 'JSON' serialization.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between secretbase versions 1.2.0 dated 2026-02-05 and 1.2.1 dated 2026-03-30

 DESCRIPTION   |    6 +++---
 MD5           |   10 +++++-----
 NEWS.md       |    4 ++++
 src/base64.c  |    4 ++++
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 6 files changed, 44 insertions(+), 35 deletions(-)

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New package sd2R with initial version 0.1.7
Package: sd2R
Title: Stable Diffusion Image Generation
Version: 0.1.7
Description: Provides Stable Diffusion image generation in R using the 'ggmlR' tensor library. Supports text-to-image and image-to-image generation with multiple model versions (SD 1.x, SD 2.x, 'SDXL', Flux). Implements the full inference pipeline including CLIP text encoding, 'UNet' noise removal, and 'VAE' encoding/decoding. Unified sd_generate() entry point with automatic strategy selection (direct, tiled sampling, high-resolution fix) based on output resolution and available 'VRAM'. High-resolution generation (2K, 4K+) via tiled 'VAE' decoding, tiled diffusion sampling ('MultiDiffusion'), and classic two-pass refinement (text-to-image, then upscale with image-to-image). Multi-GPU parallel generation via sd_generate_multi_gpu(). Multi-GPU model parallelism via 'device_layout' in sd_ctx(): distribute diffusion, text encoders, and 'VAE' across separate 'Vulkan' devices. Built-in profiling (sd_profile_start(), sd_profile_summary()) for per-stage timing of text encoding, sampling, and 'VAE' decode. [...truncated...]
SystemRequirements: GNU make, curl or wget (for downloading vocabulary files during installation)
License: MIT + file LICENSE
URL: https://github.com/Zabis13/sd2R
BugReports: https://github.com/Zabis13/sd2R/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), ggmlR (>= 0.5.0)
LinkingTo: Rcpp, ggmlR
Suggests: testthat (>= 3.0.0), callr, png, plumber, base64enc, jsonlite
NeedsCompilation: yes
Packaged: 2026-03-25 12:50:40 UTC; yuri
Author: Yuri Baramykov [aut, cre], Georgi Gerganov [ctb, cph] , leejet [ctb, cph] , stduhpf [ctb] , Green-Sky [ctb] , wbruna [ctb] , akleine [ctb] , Martin Raiber [cph] , Rich Geldreich [cph] , RAD Game Tools [cph] , Valve Software [cph] , Alex Evans [cph] , [...truncated...]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:13 UTC

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New package ply with initial version 0.1.0
Package: ply
Title: Bitboard Chess Engine
Version: 0.1.0
Author: Qusai Jouda [aut, cre]
Maintainer: Qusai Jouda <jouda.qusai@gmail.com>
Description: A fully legal chess move generator and game engine implemented in C++17 via 'Rcpp'. Provides FEN (Forsyth-Edwards Notation) parsing, PGN (Portable Game Notation) replay, position feature enrichment, and a multi-game registry backed by a bitboard representation.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-24 23:30:18 UTC; qusai
Repository: CRAN
Date/Publication: 2026-03-30 09:20:02 UTC

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New package PLUCR with initial version 0.1.0
Package: PLUCR
Title: Policy Learning Under Constraint
Version: 0.1.0
Description: Estimating treatment probabilities that maximize a primary clinical outcome while controlling for the occurrence of adverse events. The 'PLUCR' package implements methods for constrained policy learning.
License: AGPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, grf, gridExtra, magrittr, R.utils, scales, stats, SuperLearner, tibble, tidyr, tidyselect, glue
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 09:58:15 UTC; laurafuentesvicente
Author: Laura Fuentes [aut, cre]
Maintainer: Laura Fuentes <laura.fuentes-vicente@inria.fr>
Repository: CRAN
Date/Publication: 2026-03-30 09:10:02 UTC

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New package peppwR with initial version 0.1.0
Package: peppwR
Title: Power Analysis for Phosphopeptide Abundance Hypothesis Test
Version: 0.1.0
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>
Description: Estimate best fit distributions and do power analysis for hypothesis tests on phosphopeptide abundance data.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://teammaclean.github.io/peppwR/, https://github.com/TeamMacLean/peppwR
BugReports: https://github.com/TeamMacLean/peppwR/issues
Depends: R (>= 4.1.0)
Imports: cowplot, dplyr, fitdistrplus, ggplot2, methods, purrr, RColorBrewer, scales, tibble, tidyr, univariateML
Suggests: bench, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-25 10:46:38 UTC; macleand
Repository: CRAN
Date/Publication: 2026-03-30 09:20:08 UTC

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Package jstable updated to version 1.3.25 with previous version 1.3.24 dated 2026-02-24

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut], Jaewoong Heo [aut], Mingu Jee [aut], Yujeong Yoon [aut], Minhyuk Kim [aut], Wonbin Hahn [aut], Taehong K [...truncated...]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jstable versions 1.3.24 dated 2026-02-24 and 1.3.25 dated 2026-03-30

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Package iglm updated to version 1.2.2 with previous version 1.2.1 dated 2026-03-18

Title: Regression under Interference in Connected Populations
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between iglm versions 1.2.1 dated 2026-03-18 and 1.2.2 dated 2026-03-30

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New package focus with initial version 0.1.2
Package: focus
Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Version: 0.1.2
Date: 2026-03-25
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>
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.
License: GPL (>= 3)
Imports: Rcpp (>= 1.1.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-03-25 14:12:47 UTC; romano
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]
Repository: CRAN
Date/Publication: 2026-03-30 09:30:20 UTC

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Package factorstochvol updated to version 1.1.2 with previous version 1.1.1 dated 2026-03-02

Title: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description: Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
Author: Gregor Kastner [aut, cre] , Darjus Hosszejni [ctb] , Luis Gruber [ctb]
Maintainer: Gregor Kastner <gregor.kastner@aau.at>

Diff between factorstochvol versions 1.1.1 dated 2026-03-02 and 1.1.2 dated 2026-03-30

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Package EpiForsk readmission to version 0.2.2 with previous version 0.2.1 dated 2026-03-19

Title: Code Sharing at the Department of Epidemiology Research at Statens Serum Institut
Description: This is a collection of assorted functions and examples collected from various projects. Currently we have functionalities for simplifying overlapping time intervals, Charlson comorbidity score constructors for Danish data, getting frequency for multiple variables, getting standardized output from logistic and log-linear regressions, sibling design linear regression functionalities a method for calculating the confidence intervals for functions of parameters from a GLM, Bayes equivalent for hypothesis testing with asymptotic Bayes factor, and several help functions for generalized random forest analysis using 'grf'.
Author: Anders Husby [aut] , Anna Laksafoss [aut] , Emilia Myrup Thiesson [aut] , Kim Daniel Jakobsen [aut, cre] , Mikael Andersson [aut] , Klaus Rostgaard [aut]
Maintainer: Kim Daniel Jakobsen <kija@ssi.dk>

This is a re-admission after prior archival of version 0.2.1 dated 2026-03-19

Diff between EpiForsk versions 0.2.1 dated 2026-03-19 and 0.2.2 dated 2026-03-30

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New package confoundvis with initial version 0.1.0
Package: confoundvis
Title: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
Version: 0.1.0
Description: Provides visualization tools for sensitivity analysis to unmeasured confounding in observational studies. Includes contour-based sensitivity plots, robustness curves, and benchmark-oriented graphics that help researchers assess how strong omitted confounding would need to be to attenuate, invalidate, or reverse estimated effects. Supports regression-based sensitivity analysis frameworks, including impact threshold approaches (Frank, 2000, <doi:10.1177/0049124100029002001>), partial R-squared methods (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), and E-value style metrics (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>). Emphasizes clear, interpretable, and publication-ready graphical summaries for transparent reporting of causal sensitivity analyses across the social, behavioral, health, and educational sciences.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), rlang, graphics, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/confoundvis
BugReports: https://github.com/causalfragility-lab/confoundvis/issues
NeedsCompilation: no
Packaged: 2026-03-25 13:24:31 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-03-30 09:30:26 UTC

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Package amp.dm updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-13

Title: Data Management Tools for Pharmacometrics
Description: Tools and functions to efficiently create datasets used in pharmacometric analysis. Additional functionality is added to create documentation and prepare files for submission and quality control purposes.
Author: Richard Hooijmaijers [aut, cre, cph], LAPP Consultants [fnd, cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>

Diff between amp.dm versions 0.2.0 dated 2026-03-13 and 0.2.1 dated 2026-03-30

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Package Rpdb updated to version 2.4.4 with previous version 2.4.3 dated 2026-03-16

Title: Read, Write, Visualize and Manipulate PDB Files
Description: Provides tools to read, write, visualize Protein Data Bank (PDB) files and perform some structural manipulations.
Author: Leonard Mada [cre, ctb], Julien Ide [aut]
Maintainer: Leonard Mada <lmada@umft.ro>

Diff between Rpdb versions 2.4.3 dated 2026-03-16 and 2.4.4 dated 2026-03-30

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More information about Rpdb at CRAN
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New package saber with initial version 0.2.0
Package: saber
Title: Code Analysis and Project Context for R
Version: 0.2.0
Description: Parses R source files into AST symbol indices, traces function callers across projects, discovers project dependency graphs, generates project briefings, and provides package introspection tools. Designed for AI coding agents that need structured code understanding.
License: Apache License (>= 2)
URL: https://github.com/cornball-ai/saber
BugReports: https://github.com/cornball-ai/saber/issues
Suggests: tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-25 08:09:53 UTC; troy
Author: Troy Hernandez [aut, cre]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:02 UTC

More information about saber at CRAN
Permanent link

Package restatapi updated to version 0.25.0 with previous version 0.24.5 dated 2026-02-04

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access/api-detailed-guidelines/sdmx2-1>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre], Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.24.5 dated 2026-02-04 and 0.25.0 dated 2026-03-30

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New package perspectiveR with initial version 0.3.0
Package: perspectiveR
Title: Interactive Pivot Tables and Visualizations with 'Perspective'
Version: 0.3.0
Description: An 'htmlwidgets' binding for the 'FINOS Perspective' <https://perspective-dev.github.io/> library, a high-performance 'WebAssembly'-powered data visualization engine. Provides interactive pivot tables, cross-tabulations, and multiple chart types (bar, line, scatter, heatmap, and more) that run entirely in the browser. Supports self-service analytics with drag-and-drop column selection, group-by/split-by pivoting, filtering, sorting, aggregation, and computed expressions. Works in 'RStudio' Viewer, 'R Markdown', 'Quarto', and 'Shiny' with streaming data updates via proxy interface.
License: Apache License (>= 2)
URL: https://github.com/EydlinIlya/perspectiveR
BugReports: https://github.com/EydlinIlya/perspectiveR/issues
Encoding: UTF-8
Imports: htmlwidgets (>= 1.6.0), htmltools, jsonlite
Suggests: arrow, shiny (>= 1.1.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-24 21:02:29 UTC; User
Author: Eli Eydlin [aut, cre]
Maintainer: Eli Eydlin <ilyabeydlin@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 09:00:03 UTC

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New package pc with initial version 0.1
Package: pc
Title: Pattern Causality Analysis
Version: 0.1
Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Runge et al. (2023) <doi:10.1038/s43017-023-00431-y>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/pc/, https://github.com/stscl/pc
BugReports: https://github.com/stscl/pc/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: methods, sdsfun, sf, terra
Suggests: Rcpp, RcppThread, readr, infoxtr, spEDM, tEDM
NeedsCompilation: yes
Packaged: 2026-03-25 06:36:47 UTC; dell
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:08 UTC

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New package mnirs with initial version 0.6.0
Package: mnirs
Title: Muscle Near-Infrared Spectroscopy Processing and Analysis
Version: 0.6.0
Description: Read, process, and analyse data from muscle near-infrared spectroscopy (mNIRS) devices. Import raw data from .csv or .xls(x) files and return time-series data and metadata. Includes standardised methods for cleaning, filtering, and pre-processing mNIRS data for subsequent analysis. Also includes a custom plot theme and colour palette. Intended for mNIRS researchers and practitioners in exercise physiology, sports science, and clinical rehabilitation with minimal coding experience required.
License: MIT + file LICENSE
URL: https://jemarnold.github.io/mnirs/, https://github.com/jemarnold/mnirs
BugReports: https://github.com/jemarnold/mnirs/issues
Depends: R (>= 4.1)
Imports: cli, data.table, lifecycle, readxl, rlang, stats, tibble, tidyselect
Suggests: dplyr, ggplot2, knitr, patchwork, quarto, scales, signal, testthat (>= 3.0.0), zoo
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-03-25 05:59:41 UTC; Jem
Author: Jem Arnold [aut, cre, cph]
Maintainer: Jem Arnold <jem.arnold@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-30 08:40:02 UTC

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New package jentre with initial version 0.1.0
Package: jentre
Title: Toolkit for the 'Entrez' API
Version: 0.1.0
Description: Interact with the 'Entrez' API hosted by the National Center for Biotechnology Information (NCBI), <https://www.ncbi.nlm.nih.gov/books/NBK25499/>. This package is focused on working with sequence metadata and links. It handles pagination and compensates for some API limitations to simplify these tasks. API calls are printed to the console to highlight how high-level queries are translated into individual HTTP requests.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, glue, httr2, purrr, rlang (>= 1.1.0), vctrs (>= 0.7.0), xml2
Suggests: httpuv, testthat (>= 3.0.0), tibble, withr
URL: https://github.com/cidm-ph/jentre, https://cidm-ph.github.io/jentre/
BugReports: https://github.com/cidm-ph/jentre/issues
NeedsCompilation: no
Packaged: 2026-03-25 06:10:45 UTC; csus5157
Author: Carl Suster [aut, cre, cph]
Maintainer: Carl Suster <carl.suster@sydney.edu.au>
Repository: CRAN
Date/Publication: 2026-03-30 08:50:13 UTC

More information about jentre at CRAN
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Package findn updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-03

Title: Simulation Based Sample Size Estimation
Description: Estimates the sample size for a test or a trial based on repeated simulation using a model based approach. Implements a method by Maruo et al. (2018) <doi:10.1080/19466315.2017.1349689> and an extension.
Author: Lukas Baumann [aut, cre] , Bjoern Bornkamp [ctb]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>

Diff between findn versions 0.1.0 dated 2026-02-03 and 0.2.0 dated 2026-03-30

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More information about findn at CRAN
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Package zen4R updated to version 0.10.5 with previous version 0.10.4 dated 2025-12-18

Title: Interface to 'Zenodo' REST API
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload and download of files.
Author: Emmanuel Blondel [aut, cre] , Julien Barde [ctb] , Stephen Eglen [ctb] , Hans Van Calster [ctb] , Floris Vanderhaeghe [ctb] , Jemma Stachelek [ctb] , Collin Schwantes [ctb] , Nicholas Tierney [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between zen4R versions 0.10.4 dated 2025-12-18 and 0.10.5 dated 2026-03-30

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More information about zen4R at CRAN
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Package WRI updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-28

Title: Wasserstein Regression and Inference
Description: Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.
Author: Alexander Petersen [aut, cre], Xi Liu [aut], Chao Zhang [aut], Matthew Coleman [aut]
Maintainer: Alexander Petersen <petersen@stat.byu.edu>

Diff between WRI versions 0.2.2 dated 2026-03-28 and 0.2.3 dated 2026-03-30

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Package visPedigree updated to version 1.8.1 with previous version 1.0.1 dated 2026-02-23

Title: Tidying, Analysis, and Fast Visualization of Animal and Plant Pedigrees
Description: Provides tools for the analysis and visualization of animal and plant pedigrees. Analytical methods include equivalent complete generations, generation intervals, effective population size (via inbreeding, coancestry, and demographic approaches), founder and ancestor contributions, partial inbreeding, genetic diversity indices, and additive (A), dominance (D), and epistatic (AA) relationship matrices. Core algorithms — ancestry tracing, topological sorting, inbreeding coefficients, and matrix construction — are implemented in C++ ('Rcpp', 'RcppArmadillo') and 'data.table', scaling to pedigrees with over one million individuals. Pedigree graphs are rendered via 'igraph' with support for compact full-sib family display; relationship matrices can be visualized as heatmaps. Supports complex mating systems, including selfing and pedigrees in which the same individual can appear as both sire and dam.
Author: Sheng Luan [aut, cre]
Maintainer: Sheng Luan <luansheng@gmail.com>

Diff between visPedigree versions 1.0.1 dated 2026-02-23 and 1.8.1 dated 2026-03-30

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Package trafficCAR readmission to version 0.1.1 with previous version 0.1.0 dated 2026-01-27

Title: Bayesian CAR Models for Road-Segment Traffic
Description: Tools for simulating and modeling traffic flow on road networks using spatial conditional autoregressive (CAR) models. The package represents road systems as graphs derived from 'OpenStreetMap' data <https://www.openstreetmap.org/> and supports network-based spatial dependence, basic preprocessing, and visualization for spatial traffic analysis.
Author: Madison Ell [aut, cre]
Maintainer: Madison Ell <mell@stat.tamu.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2026-01-27

Diff between trafficCAR versions 0.1.0 dated 2026-01-27 and 0.1.1 dated 2026-03-30

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Permanent link

Package genderBR updated to version 1.3.0 with previous version 1.2.0 dated 2026-01-15

Title: Predict Gender from Brazilian First Names
Description: A generalized method to predict and report gender from Brazilian first names using the Brazilian Institute of Geography and Statistics' Census data and neural networks.
Author: Fernando Meireles [aut, cre]
Maintainer: Fernando Meireles <fernando.meireles@iesp.uerj.br>

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Package CohortConstructor updated to version 0.6.3 with previous version 0.6.2 dated 2026-03-08

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package dialvalidator (with last version 0.1.0) was removed from CRAN

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2026-03-12 0.1.0

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2025-08-19 1.1
2025-01-30 1.0.0

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2026-03-17 0.2.4
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2026-03-17 0.6.1
2026-03-16 0.4.4
2026-03-13 0.4.3

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Package imagefluency (with last version 0.2.5) was removed from CRAN

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2024-02-22 0.2.5
2022-08-31 0.2.4
2020-01-09 0.2.3
2019-12-12 0.2.2
2019-09-27 0.2.1

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Package cnefetools (with last version 0.2.3) was removed from CRAN

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2026-03-06 0.2.3
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Package spicy updated to version 0.7.0 with previous version 0.6.0 dated 2026-03-23

Title: Descriptive Statistics, Summary Tables, and Data Management Tools
Description: Provides tools for descriptive data analysis, variable inspection, data management, and tabulation workflows in 'R'. Summarizes variable metadata, labels, classes, missing values, and representative values, with support for readable frequency tables, cross-tabulations, association measures for contingency tables (Cramer's V, Phi, Goodman-Kruskal Gamma, Kendall's Tau-b, Somers' D, and others), categorical and continuous summary tables, including APA-style reporting outputs. Includes helpers for interactive codebooks, variable label extraction, clipboard export, and row-wise descriptive summaries. Designed to make descriptive analysis faster, clearer, and easier to work with in practice.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package srlars updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-02

Title: Fast and Scalable Cellwise-Robust Ensemble
Description: Functions to perform robust variable selection and regression using the Fast and Scalable Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) engine proposes candidate variables and cross-validation arbitrates their assignment. A final robust MM-estimator is applied to the selected predictors.
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package gstat updated to version 2.1-6 with previous version 2.1-5 dated 2026-02-13

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package BigVAR updated to version 1.1.5 with previous version 1.1.4 dated 2025-11-04

Title: Dimension Reduction Methods for Multivariate Time Series
Description: Estimates VAR and VARX models with Structured Penalties.
Author: Will Nicholson [cre, aut], David Matteson [aut], Jacob Bien [aut]
Maintainer: Will Nicholson <wbn8@cornell.edu>

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Package MAAPER (with last version 1.1.1) was removed from CRAN

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

2021-08-14 1.1.1
2021-06-21 1.1.0

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