Sun, 12 Apr 2026

Package V8 updated to version 8.1.0 with previous version 8.0.1 dated 2025-10-10

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , George Stagg [ctb] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between V8 versions 8.0.1 dated 2025-10-10 and 8.1.0 dated 2026-04-12

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Package mfrmr updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-30

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Fits many-facet measurement models and returns diagnostics, reporting helpers, and reproducible analysis bundles using a native R implementation. Supports arbitrary facet counts, rating-scale and partial-credit parameterizations ('Andrich' (1978) <doi:10.1007/BF02293814>; 'Masters' (1982) <doi:10.1007/BF02296272>), marginal maximum likelihood estimation with Gauss-Hermite quadrature and direct optimization of the marginal log-likelihood, joint maximum likelihood estimation, plus tools for anchor review, interaction screening, linking workflows, and publication-oriented summaries.
Author: Ryuya Komuro [aut, cre]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

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Package coda.plot updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-06

Title: Plots for Compositional Data
Description: Provides a collection of easy-to-use functions for creating visualizations of compositional data using 'ggplot2'. Includes support for common plotting techniques in compositional data analysis.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

Diff between coda.plot versions 0.2.1 dated 2026-03-06 and 0.2.2 dated 2026-04-12

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

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

2026-03-27 1.1.0
2023-06-07 1.0.1
2022-12-01 0.5.1
2022-11-29 0.5.0
2022-03-27 0.4.2
2022-03-25 0.4.1
2021-03-23 0.3.4
2020-10-14 0.3.2
2020-08-27 0.3.1
2020-05-28 0.3.0
2020-03-04 0.1.3

Permanent link
Package sendmailR updated to version 1.4-1 with previous version 1.4-0 dated 2023-01-12

Title: Send Email Using R
Description: Package contains a simple SMTP client with minimal dependencies which provides a portable solution for sending email, including file attachments and inline html reports, from within R. SMTP Authentication and SSL/STARTTLS is implemented using curl.
Author: Olaf Mersmann [aut, cre] , Quinn Weber [ctb], Marius Barth [ctb] , Are Edvardsen [ctb] , Alexander Bartel [ctb]
Maintainer: Olaf Mersmann <olafm@p-value.net>

Diff between sendmailR versions 1.4-0 dated 2023-01-12 and 1.4-1 dated 2026-04-12

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Package salso updated to version 0.3.77 with previous version 0.3.69 dated 2026-03-08

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Authors of the dependency Rust crates [ctb]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package renv updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-25

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.2.0 dated 2026-03-25 and 1.2.1 dated 2026-04-12

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Package enhancer updated to version 1.1.1 with previous version 1.1.0 dated 2025-11-17

Title: Mixed-Effects Models Enhancing Functions
Description: Special functions that enhance other mixed effect model packages by creating overlayed, reduced rank, and reduced model matrices together with multiple data sets to practice the use of these models. For more details see Covarrubias-Pazaran (2016) <doi:10.1371/journal.pone.0156744>.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between enhancer versions 1.1.0 dated 2025-11-17 and 1.1.1 dated 2026-04-12

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Package archive updated to version 1.1.13 with previous version 1.1.12.1 dated 2025-12-24

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Ondrej Holy [cph] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package AIPW updated to version 0.6.9.3 with previous version 0.6.9.2 dated 2025-04-05

Title: Augmented Inverse Probability Weighting
Description: The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Author: Yongqi Zhong [aut, cre] , Ashley Naimi [aut] , Gabriel Conzuelo [ctb], Edward Kennedy [ctb]
Maintainer: Yongqi Zhong <yq.zhong7@gmail.com>

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Sat, 11 Apr 2026

Package pecanr updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-17

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) <doi:10.3758/s13428-021-01687-2>, and Rights and Sterba (2019) <doi:10.1037/met0000184>.
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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Package gofedf updated to version 1.1.0 with previous version 1.0.0 dated 2025-05-29

Title: Goodness of Fit Tests Based on Empirical Distribution Functions
Description: Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test if a sample follows Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.
Author: Richard Lockhart [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <payman.nickchi@gmail.com>

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Package conText updated to version 3.0.1 with previous version 3.0.0 dated 2025-09-03

Title: 'a la Carte' on Text (ConText) Embedding Regression
Description: A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <doi:10.48550/arXiv.1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<doi:10.1017/S0003055422001228>. New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) <doi:10.1017/pan.2024.22>.
Author: Pedro L. Rodriguez [aut, cph] , Arthur Spirling [aut] , Brandon Stewart [aut] , Christopher Barrie [ctb] , Sofia Avila [cre, aut]
Maintainer: Sofia Avila <sofiaavila@princeton.edu>

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Package bioLeak updated to version 0.3.6 with previous version 0.3.5 dated 2026-03-26

Title: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
Description: Prevents and detects information leakage in biomedical machine learning. Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered), guarded preprocessing (train-only imputation, normalization, filtering, feature selection), cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests, and duplicate detection.
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package fred updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-19

Title: Access 'Federal Reserve Economic Data'
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. 'FRED' is maintained by the 'Federal Reserve Bank of St. Louis' and contains over 800,000 time series from 118 sources covering GDP, employment, inflation, interest rates, trade, and more. Dedicated functions fetch series observations, search for series, browse categories, releases, and tags, and retrieve series metadata. Multiple series can be fetched in a single call, in long or wide format. Server-side unit transformations (percent change, log, etc.) and frequency aggregation are supported, with readable transform aliases such as 'yoy_pct' and 'log_diff'. Real-time and vintage helpers (built on 'ALFRED') return a series as it appeared on a given date, the first-release version, every revision, or a panel of selected vintages. Data is cached locally for subsequent calls. This product uses the 'FRED' API but is not endorsed or certified [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package nycOpenData updated to version 0.2.1 with previous version 0.1.6 dated 2026-02-14

Title: Convenient Access to NYC Open Data API Endpoints
Description: Provides a unified set of helper functions to access datasets from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package includes endpoints for 311 service requests, DOB job applications, juvenile justice metrics, school safety, environmental data, event permitting, and additional citywide datasets.
Author: Christian Martinez [aut, cre] , Crystal Adote [ctb] , Jonah Dratfield [ctb] , Joyce Escatel-Flores [ctb] , Rob Hutto [ctb] , Isley Jean-Pierre [ctb] , Shannon Joyce [ctb] , Laura Rose-Werner [ctb] , Emma Tupone [ctb] , Xinru Wang [ctb]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package glasstabs updated to version 0.2.1 with previous version 0.1.1 dated 2026-03-13

Title: Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'
Description: Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package pam updated to version 2.1.1 with previous version 2.1.0 dated 2026-04-11

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

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Package akin updated to version 0.2.0 with previous version 0.1.4 dated 2026-04-10

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor utility implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package sstn updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-16

Title: Self-Similarity Test for Normality
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The method exploits the self-similarity property of the normal characteristic function by iteratively transforming and comparing standardized empirical characteristic functions. The null distribution of the test statistic is obtained via Monte Carlo simulation. Details of the methodology are described in Anarat and Schwender (2026), "A test for normality based on self-similarity", <doi:10.48550/arXiv.2604.03810>.
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Package scaledescr updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-21

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package dials updated to version 1.4.3 with previous version 1.4.2 dated 2025-09-04

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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Package geodata updated to version 0.6-9 with previous version 0.6-6 dated 2025-09-29

Title: Access Geographic Data
Description: Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Author: Robert J. Hijmans [cre, aut] , Marcia Barbosa [ctb] , Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package fluxfixer updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-02

Title: Advanced Framework for Sap Flow Data Post-Process
Description: Provides a flexible framework for post-processing thermal dissipation sap flow data using statistical methods and machine learning. This framework includes anomaly correction, outlier removal, gap-filling, trend removal, signal damping correction, and sap flux density calculation. The functions in this package can also apply to other time series with various artifacts.
Author: Yoshiaki Hata [aut, cre, cph]
Maintainer: Yoshiaki Hata <yoshiakihata0806@gmail.com>

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Package bayesbio (with last version 1.0.0) was removed from CRAN

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2016-05-24 1.0.0

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

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2024-08-21 0.1.0

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2021-01-29 1.0.0

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Package edfun (with last version 0.2.0) was removed from CRAN

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2016-08-27 0.2.0

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Package genpwr (with last version 1.0.4) was removed from CRAN

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2021-03-30 1.0.4
2021-03-22 1.0.3
2020-04-07 1.0.2
2019-09-17 1.0.1
2019-04-04 1.0.0

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Package ccar3 (with last version 0.1.0) was removed from CRAN

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2025-09-16 0.1.0

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Package mle.tools (with last version 1.0.0) was removed from CRAN

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2017-02-21 1.0.0

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Package vader (with last version 0.2.1) was removed from CRAN

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2020-09-07 0.2.1
2020-09-04 0.2.0
2020-06-09 0.1.1
2020-05-11 0.1.0
2020-05-08 0.0.2
2020-03-31 0.0.1

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Package datadriftR (with last version 1.0.0) was removed from CRAN

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2025-01-09 1.0.0
2024-06-13 0.0.1

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Package omixVizR (with last version 1.4.0) was removed from CRAN

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2025-10-11 1.4.0
2025-07-20 1.1.3
2025-07-18 1.0.5

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Package cuadramelo (with last version 1.0.0) was removed from CRAN

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2024-10-10 1.0.0

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Package hedgedrf (with last version 1.0.1) was removed from CRAN

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2025-03-12 1.0.1
2024-07-14 0.0.1

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Package bratteli (with last version 1.0.0) was removed from CRAN

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2023-12-20 1.0.0

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Package kantorovich (with last version 3.2.0) was removed from CRAN

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2024-04-23 3.2.0
2023-08-22 3.1.0
2022-08-10 3.0.1
2020-10-28 3.0.0
2020-08-26 2.0.1

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Package pdftools updated to version 3.8.0 with previous version 3.7.0 dated 2026-01-30

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between pdftools versions 3.7.0 dated 2026-01-30 and 3.8.0 dated 2026-04-11

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Package RMySQL updated to version 0.11.3 with previous version 0.11.2 dated 2026-03-02

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package kstIO updated to version 0.5-1 with previous version 0.5-0 dated 2026-03-08

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package pam updated to version 2.1.0 with previous version 2.0.2 dated 2026-02-23

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 2.0.2 dated 2026-02-23 and 2.1.0 dated 2026-04-11

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Package eq5dsuite updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-24

Title: Handling and Analysing EQ-5d Data
Description: The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL), developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale. Scores from these dimensions are commonly converted into a single utility index using country-specific value sets, which are critical in clinical and economic evaluations of healthcare and in population health surveys. The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments, including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L in [...truncated...]
Author: Kim Rand [aut, cre] , Oliver Rivero-Arias [aut] , Iryna Schlackow [aut] , Anabel Estevez-Carrillo [aut]
Maintainer: Kim Rand <krand@mathsinhealth.com>

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Package autoharp updated to version 0.3.2 with previous version 0.3.1 dated 2026-04-10

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut], Agrawal Naman [aut, cre], Yuting Huang [ctb], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Agrawal Naman <naman.a@nus.edu.sg>

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Package easyComment updated to version 2.1.0 with previous version 2.0.0 dated 2026-04-03

Title: Generate Comment Boxes with Custom Alignment
Description: Provides a function to generate comment boxes framed with '#' characters, with configurable width and text alignment (left, center, or right). Useful for formatting scripts and improving code readability.
Author: Gregoire Muller [aut, cre]
Maintainer: Gregoire Muller <muller.gregoire@protonmail.com>

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Package PPSFS updated to version 0.1.3 with previous version 0.1.1 dated 2025-07-03

Title: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
Description: This is an implementation of the partial profile score feature selection (PPSFS) approach to generalized linear (interaction) models. The PPSFS is highly scalable even for ultra-high-dimensional feature space. See the paper by Xu, Luo and Chen (2022) <doi:10.4310/21-SII706>.
Author: Zengchao Xu [aut, cre], Shan Luo [aut], Zehua Chen [aut]
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>

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Package PerformanceAnalytics updated to version 2.1.0 with previous version 2.0.8 dated 2024-12-09

Title: Econometric Tools for Performance and Risk Analysis
Description: Collection of econometric functions for performance and risk analysis. In addition to standard risk and performance metrics, this package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb], Joshua Ulrich [ctb], Eric Zivot [ctb], Dries Cornilly [ctb], Eric Hung [ctb], Matthieu Lestel [ctb], Kyle Balkissoon [ctb], Diethelm Wuertz [ctb], An [...truncated...]
Maintainer: Brian G. Peterson <brian@braverock.com>

Diff between PerformanceAnalytics versions 2.0.8 dated 2024-12-09 and 2.1.0 dated 2026-04-11

 PerformanceAnalytics-2.0.8/PerformanceAnalytics/inst/tinytest                                                        |only
 PerformanceAnalytics-2.0.8/PerformanceAnalytics/tests/tinytest.R                                                     |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/DESCRIPTION                                                          |   43 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/MD5                                                                  |  577 +++++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/NAMESPACE                                                            |    9 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ActivePremium.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/AdjustedSharpeRatio.R                                              |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/AppraisalRatio.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/BernadoLedoitratio.R                                               |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/BurkeRatio.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CAPM.alpha.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CAPM.beta.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CAPM.epsilon.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CAPM.jensenAlpha.R                                                 |  110 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CAPM.utils.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CDAR.alpha.R                                                       |  111 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CalmarRatio.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/CoMoments.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/DRatio.R                                                           |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/DownsideFrequency.R                                                |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/DrawdownPeak.R                                                     |   59 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Drawdowns.R                                                        |   43 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ES.R                                                               |  606 +++++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/FamaBeta.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Frequency.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/HerfindahlIndex.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/HurstIndex.R                                                       |   89 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/InformationRatio.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Kappa.R                                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/KellyRatio.R                                                       |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Level.calculate.R                                                  |  386 +++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/M2Sortino.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MM.NCE.R                                                           |  439 +++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MSquared.R                                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MSquaredExcess.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MarketTiming.R                                                     |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MartinRatio.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MeanAbsoluteDeviation.R                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MinTRL.R                                                           |    5 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/MultivariateMoments.R                                              |    6 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/NetSelectivity.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Omega.R                                                            |  263 ++-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/OmegaExcessReturn.R                                                |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/OmegaSharpeRatio.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PainIndex.R                                                        |   76 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PainRatio.R                                                        |    2 
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 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/PortfolioRisk.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ProbSharpeRatio.R                                                  |  197 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/ProspectRatio.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.Geltner.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.annualized.R                                                |  116 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.calculate.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.clean.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.convert.R                                                   |  199 ++
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.cumulative.R                                                |   62 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.excess.R                                                    |   92 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.locScaleRob.R                                               |    8 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.portfolio.R                                                 |  676 +++++-----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.read.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Return.relative.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/Selectivity.R                                                      |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SemiDeviation.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SharpeRatio.R                                                      |  349 +++--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SharpeRatio.annualized.R                                           |   87 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SkewnessKurtosisRatio.R                                            |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SmoothingIndex.R                                                   |  205 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SortinoRatio.R                                                     |  117 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SpecificRisk.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/StdDev.R                                                           |  249 ++-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/StdDev.annualized.R                                                |  119 +
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/SystematicRisk.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TotalRisk.R                                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TrackingError.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/TreynorRatio.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UlcerIndex.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpDownRatios.R                                                     |  160 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsideFrequency.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsidePotentialRatio.R                                             |   97 -
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/UpsideRisk.R                                                       |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.Marginal.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.R                                                              |  563 ++++----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.backtest.R                                                     |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.gpd.R                                                          |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.lognormal.R                                                    |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VaR.montecarlo.R                                                   |only
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/VolatilitySkewness.R                                               |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/apply.fromstart.R                                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/apply.rolling.R                                                    |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ACF.R                                                        |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ACFplus.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Bar.R                                                        |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.BarVaR.R                                                     |  617 ++++-----
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Boxplot.R                                                    |  231 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.CaptureRatios.R                                              |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Correlation.R                                                |  144 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.CumReturns.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Drawdown.R                                                   |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.ECDF.R                                                       |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Events.R                                                     |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Histogram.R                                                  |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.QQPlot.R                                                     |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Regression.R                                                 |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RelativePerformance.R                                        |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RiskReturnScatter.R                                          |  200 +-
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingCorrelation.R                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingMean.R                                                |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingPerformance.R                                         |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingQuantileRegression.R                                  |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.RollingRegression.R                                          |    2 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.Scatter.R                                                    |    4 
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.SnailTrail.R                                                 |  230 +--
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.StackedBar.R                                                 |  384 ++---
 PerformanceAnalytics-2.1.0/PerformanceAnalytics/R/chart.TimeSeries.R                                                 |  339 ++---
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Package optimflex readmission to version 0.1.6 with previous version 0.1.0 dated 2026-02-07

Title: Derivative-Based Optimization with User-Defined Convergence Criteria
Description: Provides a derivative-based optimization framework that allows users to combine eight convergence criteria. Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence. This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.
Author: Eunseong Cho [aut, cre]
Maintainer: Eunseong Cho <bene@kw.ac.kr>

This is a re-admission after prior archival of version 0.1.0 dated 2026-02-07

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Package MM updated to version 1.7-0 with previous version 1.6-8 dated 2024-05-16

Title: The Multiplicative Multinomial Distribution
Description: Various utilities for the Multiplicative Multinomial distribution.
Author: Robin K. S. Hankin [aut, cre], P. M. E. Altham [aut]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package cvasi updated to version 1.5.1 with previous version 1.5.0 dated 2025-09-11

Title: Calibration, Validation, and Simulation of TKTD Models
Description: Eases the use of ecotoxicological effect models. Can simulate common toxicokinetic-toxicodynamic (TK/TD) models such as General Unified Threshold models of Survival (GUTS) and Lemna. It can derive effects and effect profiles (EPx) from scenarios. It supports the use of 'tidyr' workflows employing the pipe symbol. Time-consuming tasks can be parallelized.
Author: Nils Kehrein [aut, cre], Dirk Nickisch [aut], Peter Vermeiren [aut], Torben Wittwer [ctb], Johannes Witt [ctb], Andre Gergs [ctb]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

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Package vctrs updated to version 0.7.3 with previous version 0.7.2 dated 2026-03-21

Title: Vector Helpers
Description: Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analysing function interfaces.
Author: Hadley Wickham [aut], Lionel Henry [aut], Davis Vaughan [aut, cre], data.table team [cph] and their contribution to R's order), Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

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Package torch updated to version 0.17.0 with previous version 0.16.3 dated 2025-11-02

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [aut, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb] [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package SeuratObject updated to version 5.4.0 with previous version 5.3.0 dated 2025-12-12

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. 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>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

Diff between SeuratObject versions 5.3.0 dated 2025-12-12 and 5.4.0 dated 2026-04-11

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Package Rcmdr updated to version 2.12.2 with previous version 2.9-5 dated 2024-10-24

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut], Milan Bouchet-Valat [aut], Manuel Munoz-Marquez [aut, cre], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package polyCub updated to version 0.9.3 with previous version 0.9.2 dated 2025-02-11

Title: Cubature over Polygonal Domains
Description: Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping 'spatstat.geom' functions), and adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B). For simple integration along the axes, the 'cubature' package is more appropriate.
Author: Sebastian Meyer [aut, cre, trl] , Leonhard Held [ths], Michael Hoehle [ths]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

Diff between polyCub versions 0.9.2 dated 2025-02-11 and 0.9.3 dated 2026-04-11

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Package netmeta updated to version 3.4-0 with previous version 3.3-1 dated 2026-01-28

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-Adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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More information about netmeta at CRAN
Permanent link

Package nanoparquet updated to version 0.5.0 with previous version 0.4.3 dated 2025-12-17

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package metacoder readmission to version 0.3.9 with previous version 0.3.8 dated 2025-02-11

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Kamil Slowikowski [ctb], Scott Chamberlain [ctb], Rob Gilmore [ctb]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

This is a re-admission after prior archival of version 0.3.8 dated 2025-02-11

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Package lightr updated to version 2.0.0 with previous version 1.9.0 dated 2025-07-21

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanOptics'/'OceanInsight' <https://www.oceanoptics.com/> brands.
Author: Hugo Gruson [cre, aut, cph] , Rafael Maia [aut, cph] , Thomas White [aut, cph] , Kotya Karapetyan [ctb, cph] )
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

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Package crs updated to version 0.15-41 with previous version 0.15-39 dated 2026-01-29

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package blscrapeR (with last version 4.0.3) was removed from CRAN

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

2026-04-06 4.0.3
2024-03-17 4.0.1

Permanent link

Fri, 10 Apr 2026

Package rregm updated to version 1.1 with previous version 1.0 dated 2026-01-28

Title: Reparameterized Regression Models
Description: Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma and beta prime distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, as specified by the user. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package highlightr updated to version 2.0.0 with previous version 1.2.0 dated 2025-10-18

Title: Highlight Conserved Edits Across Versions of a Document
Description: Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.
Author: Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Rachel Rogers [aut, cre] , Susan VanderPlas [aut]
Maintainer: Rachel Rogers <rrogers.rpackages@gmail.com>

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Package spicy updated to version 0.8.0 with previous version 0.7.0 dated 2026-03-30

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, and model-based bivariate tables for continuous outcomes, 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 and reporting 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 transreg updated to version 1.0.6 with previous version 1.0.5 dated 2025-07-26

Title: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
Description: Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' and 'ecpc' from <https://github.com/kjytay/fwelnet> and <https://github.com/Mirrelijn/ecpc>, respectively.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package iglm updated to version 1.2.3 with previous version 1.2.2 dated 2026-03-30

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>

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Package kDGLM updated to version 1.2.14 with previous version 1.2.12 dated 2026-02-04

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

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Package tdarec updated to version 0.2.1 with previous version 0.2.0 dated 2025-06-20

Title: A 'recipes' Extension for Persistent Homology and Its Vectorizations
Description: Topological data analytic methods in machine learning rely on vectorizations of the persistence diagrams that encode persistent homology, as surveyed by Ali &al (2000) <doi:10.48550/arXiv.2212.09703>. Persistent homology can be computed using 'TDA' and 'ripserr' and vectorized using 'TDAvec'. The Tidymodels package collection modularizes machine learning in R for straightforward extensibility; see Kuhn & Silge (2022, ISBN:978-1-4920-9644-3). These 'recipe' steps and 'dials' tuners make efficient algorithms for computing and vectorizing persistence diagrams available for Tidymodels workflows.
Author: Jason Cory Brunson [cre, aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

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Package dataverifyr updated to version 0.1.11 with previous version 0.1.8 dated 2024-01-10

Title: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
Description: Allows you to define rules which can be used to verify a given dataset. The package acts as a thin wrapper around more powerful data packages such as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
Author: David Zimmermann-Kollenda [aut, cre], Beniamino Green [ctb]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>

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Package equatiomatic updated to version 0.4.8 with previous version 0.4.4 dated 2025-08-26

Title: Transform Models into 'LaTeX' Equations
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package AgeBandDecomposition updated to version 2.0.1 with previous version 2.0.0 dated 2026-02-04

Title: Age Band Decomposition Method for Tree Ring Standardization
Description: Implements the Age Band Decomposition (ABD) method for standardizing tree ring width data while preserving both low and high frequency variability. Unlike traditional detrending approaches that can distort long term growth trends, ABD decomposes ring width series into multiple age classes, detrends each class separately, and then recombines them to create standardized chronologies. This approach improves the detection of growth signals linked to past climatic and environmental factors, making it particularly valuable for dendroecological and dendroclimatological studies. The package provides functions to perform ABD-based standardization, compare results with other common methods (e.g., BAI, C method, RCS), and facilitate the interpretation of growth patterns under current and future climate variability.
Author: Nicola Puletti [aut, cre] , Gianluigi Mazza [aut] , Dimitrios Sarris [ctb]
Maintainer: Nicola Puletti <nicola.puletti@crea.gov.it>

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Package wbwdi updated to version 1.0.4 with previous version 1.0.3 dated 2025-11-20

Title: Seamless Access to World Bank World Development Indicators (WDI)
Description: Access and analyze the World Bank's World Development Indicators (WDI) using the corresponding API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. WDI provides more than 24,000 country or region-level indicators for various contexts. 'wbwdi' enables users to download, process and work with WDI series across multiple countries, aggregates, and time periods.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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 tests/testthat/tests-wdi_get_lending_types.R |    9 +-
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Package shidashi updated to version 0.2.0 with previous version 0.1.8 dated 2026-03-23

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between shidashi versions 0.1.8 dated 2026-03-23 and 0.2.0 dated 2026-04-10

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 shidashi-0.2.0/shidashi/DESCRIPTION                                                                  |    8 
 shidashi-0.2.0/shidashi/MD5                                                                          |  185 +-
 shidashi-0.2.0/shidashi/NAMESPACE                                                                    |   33 
 shidashi-0.2.0/shidashi/NEWS.md                                                                      |   78 
 shidashi-0.2.0/shidashi/R/aaa.R                                                                      |  188 ++
 shidashi-0.2.0/shidashi/R/accordion.R                                                                |   22 
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 shidashi-0.2.0/shidashi/R/card-tabset.R                                                              |   16 
 shidashi-0.2.0/shidashi/R/card-tool.R                                                                |   40 
 shidashi-0.2.0/shidashi/R/card.R                                                                     |   62 
 shidashi-0.2.0/shidashi/R/chat-helpers.R                                                             |    2 
 shidashi-0.2.0/shidashi/R/chatbot.R                                                                  |   75 
 shidashi-0.2.0/shidashi/R/clipboard.R                                                                |   16 
 shidashi-0.2.0/shidashi/R/drawer.R                                                                   |    8 
 shidashi-0.2.0/shidashi/R/globals.R                                                                  |  805 +++++++++-
 shidashi-0.2.0/shidashi/R/info-box.R                                                                 |   10 
 shidashi-0.2.0/shidashi/R/mcp-handler.R                                                              |  170 --
 shidashi-0.2.0/shidashi/R/mcp-wrapper.R                                                              |  413 ++++-
 shidashi-0.2.0/shidashi/R/menu-item.R                                                                |   35 
 shidashi-0.2.0/shidashi/R/modules.R                                                                  |   61 
 shidashi-0.2.0/shidashi/R/notification.R                                                             |    8 
 shidashi-0.2.0/shidashi/R/progress.R                                                                 |   46 
 shidashi-0.2.0/shidashi/R/render.R                                                                   |   34 
 shidashi-0.2.0/shidashi/R/settings.R                                                                 |   22 
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 shidashi-0.2.0/shidashi/R/stream.R                                                                   |only
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 shidashi-0.2.0/shidashi/R/utils.R                                                                    |    2 
 shidashi-0.2.0/shidashi/R/widgets.R                                                                  |   32 
 shidashi-0.2.0/shidashi/R/zzz.R                                                                      |    2 
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 shidashi-0.2.0/shidashi/inst/htmlwidgets                                                             |only
 shidashi-0.2.0/shidashi/man/add-remove-html-class.Rd                                                 |    2 
 shidashi-0.2.0/shidashi/man/as_icon.Rd                                                               |    2 
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 shidashi-0.2.0/shidashi/man/drawer.Rd                                                                |    2 
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 shidashi-0.2.0/shidashi/man/html_asis.Rd                                                             |only
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 shidashi-0.2.0/shidashi/man/module_info.Rd                                                           |   16 
 shidashi-0.2.0/shidashi/man/progressOutput.Rd                                                        |    2 
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 shidashi-0.2.0/shidashi/man/render.Rd                                                                |    2 
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Package purrr updated to version 1.2.2 with previous version 1.2.1 dated 2026-01-09

Title: Functional Programming Tools
Description: A complete and consistent functional programming toolkit for R.
Author: Hadley Wickham [aut, cre] , Lionel Henry [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between purrr versions 1.2.1 dated 2026-01-09 and 1.2.2 dated 2026-04-10

 DESCRIPTION                              |    6 ++--
 MD5                                      |   34 +++++++++++++--------------
 NEWS.md                                  |   24 +++++++++++--------
 R/modify.R                               |    4 +--
 man/modify.Rd                            |    3 +-
 src/cleancall.c                          |    3 +-
 src/init.c                               |    3 ++
 src/pluck.c                              |   37 +++++++++++++----------------
 src/utils.c                              |   39 +++++++++++++++++++++++++++++++
 src/utils.h                              |    6 ++++
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 tests/testthat/_snaps/map.md             |    2 +
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 tests/testthat/_snaps/modify.md          |    3 ++
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 18 files changed, 126 insertions(+), 54 deletions(-)

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Package photon readmission to version 1.0.0-1 with previous version 1.0.0 dated 2026-02-28

Title: High-Performance Geocoding using 'photon'
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

This is a re-admission after prior archival of version 1.0.0 dated 2026-02-28

Diff between photon versions 1.0.0 dated 2026-02-28 and 1.0.0-1 dated 2026-04-10

 DESCRIPTION                 |    6 +++---
 MD5                         |    6 +++---
 inst/doc/photon.html        |    8 ++++----
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 4 files changed, 10 insertions(+), 11 deletions(-)

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New package MRgrowth with initial version 0.1.2
Package: MRgrowth
Title: Mark-Recapture Growth Models
Version: 0.1.2
Date: 2026-04-06
Maintainer: Donald T. McKnight <donald.mcknight@my.jcu.edu.au>
Description: Researchers often need to calculate body-size growth rates for individuals that do not have associated age data. These growth rates are based on mark-recapture data where an individual was captured and measured at time 1 then recaptured and measured at time 2. The sizes at each time and amount of time between captures can be used to calculate growth rates. 'MRgrowth' follows the approach in Edmonds et al. (2021) <doi:10.1371/journal.pone.0259978> and provides functions to calculate growth using three formulas, the Faben's reformulation of the von Bertalanffy formula, the Gompertz formula, and a logistic formula.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr,rmarkdown
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-06 23:11:29 UTC; Donald McKnight
Author: Donald T. McKnight [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-10 14:20:07 UTC

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New package countmaskr with initial version 0.1.1
Package: countmaskr
Title: Small Cell Masking Tool for One- & Two-Way Tabular Reports
Version: 0.1.1
Description: Provides automated small-cell suppression for one- and two-way frequency tables. Cells falling below a user-defined frequency threshold are masked, with suppression propagated to secondary cells to prevent indirect disclosure. Designed for clinical and health administrative data, the package supports a range of tabular structures and fits into reproducible reporting pipelines, reducing manual review while applying consistent suppression rules across data sharing workflows.
License: MPL-2.0
Depends: R (>= 2.10), dplyr, tibble, tidyr
Imports: lifecycle
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
URL: https://query-fulfillment.github.io/countmaskr/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-06 17:48:04 UTC; masters2
Author: Sahal Master [cre, aut] , Amy Goodwin Davies [aut] , Allison Zelinski [aut], Qiwei Shen [aut] , Charles Bailey [aut] , Nicole Marchesani [ctb] , Aqsa Khan [ctb] , Rhonda DeCook [ctb]
Maintainer: Sahal Master <sahalmaster@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-10 14:10:02 UTC

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New package akin with initial version 0.1.4
Package: akin
Title: Functional Utilities for Data Processing
Version: 0.1.4
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonality inside strings and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor utility implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
License: GPL (>= 3)
Imports: data.table (>= 1.18.2.0), RVerbalExpressions (>= 0.1.0), RcppAlgos(>= 2.9.3), methods
Depends: R (>= 4.1.0), callr, erer, fastmatch, listenv, Matrix, utils
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-06 18:30:31 UTC; Dragos
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>
Repository: CRAN
Date/Publication: 2026-04-10 14:20:02 UTC

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Package curstatCI (with last version 0.1.1) was removed from CRAN

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

2017-10-12 0.1.1
2017-07-25 0.1.0

Permanent link
New package StatDeriveR with initial version 0.1.0
Package: StatDeriveR
Title: Step-by-Step Derivation and Simulation Verification in Mathematical Statistics
Version: 0.1.0
Description: Provides step-by-step derivations of key results in mathematical statistics, including transformations of random variables, order statistics, and sampling distributions. The package combines analytical derivation with Monte Carlo simulation to compare theoretical and empirical results, facilitating deeper understanding of statistical theory and its computational implementation. The methods are motivated by standard treatments in mathematical statistics (Hogg, McKean, and Craig, 2019, ISBN: 9780134686991).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Jokhrof042/StatDeriveR
BugReports: https://github.com/Jokhrof042/StatDeriveR/issues
NeedsCompilation: no
Packaged: 2026-04-06 16:12:14 UTC; lenovo
Author: Jokhrof Ahmed Doha [aut, cre]
Maintainer: Jokhrof Ahmed Doha <s-2021711817@isrt.du.ac.bd>
Repository: CRAN
Date/Publication: 2026-04-10 14:00:02 UTC

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New package SelectBoost.FDA with initial version 0.5.0
Package: SelectBoost.FDA
Title: SelectBoost-Style Variable Selection for Functional Data Analysis
Date: 2026-04-02
Version: 0.5.0
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Implements 'SelectBoost'-style variable selection workflows for functional data analysis. The package provides FDA-native design and preprocessing objects for raw curves, spline-basis expansions, Functional principal component analysis scores, and scalar covariates; grouped stability-selection routines based on repeated subject-level subsampling; multiple selector backends including lasso, group lasso, and sparse-group lasso; FDA-aware grouping functions and calibration helpers for 'SelectBoost'; method-comparison utilities; a formula interface; simulation, benchmarking, and validation helpers with mapped ground truth; targeted sensitivity-study utilities and shipped benchmark summaries for mean 'F1' comparisons between FDA-aware and plain 'SelectBoost' workflows; small example datasets; and an optional adapter to the native stability-selection interface from the 'FDboost' package.
LazyData: true
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: SelectBoost, stats
Suggests: FDboost, glmnet, grpreg, knitr, pkgdown, rmarkdown, SGL, stabs, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://fbertran.github.io/SelectBoost.FDA/, https://github.com/fbertran/SelectBoost.FDA
BugReports: https://github.com/fbertran/SelectBoost.FDA/issues
NeedsCompilation: no
Packaged: 2026-04-02 23:01:50 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-10 13:30:09 UTC

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Package normref updated to version 0.1.1 with previous version 0.0.0.1 dated 2025-10-06

Title: Continuous Norming
Description: A toolbox for continuous norming of psychological and educational tests, supporting regression-based norming where norms can vary as a continuous function of age or another norm predictor. Norms are estimated using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), enabling flexible modelling of the full score distribution in a normative sample. The package supports applications in psychometrics and psychological testing, and includes functions for model selection, reliability estimation, norm calculation, including confidence intervals, and sample size planning. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>

Diff between normref versions 0.0.0.1 dated 2025-10-06 and 0.1.1 dated 2026-04-10

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 16 files changed, 1251 insertions(+), 561 deletions(-)

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New package ncmR with initial version 0.1.0
Package: ncmR
Title: Fit Neutral Community Model to Microbiome or Ecological Data
Version: 0.1.0
Description: Provides tools for fitting the neutral community model (NCM) to assess the role of stochastic processes in community assembly. The package implements the framework of Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x>, enabling users to evaluate neutral dynamics in ecological and microbial communities.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: dplyr, Hmisc, minpack.lm
URL: https://github.com/h-xuanjiu/ncmR
NeedsCompilation: no
Packaged: 2026-04-06 00:38:00 UTC; 15225
Author: Yuxuan He [aut, cre, cph]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>
Repository: CRAN
Date/Publication: 2026-04-10 13:50:02 UTC

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New package HHBayes with initial version 0.1.1
Package: HHBayes
Title: Bayesian Household Transmission Modeling with 'Stan'
Version: 0.1.1
Description: Provides a streamlined pipeline to simulate household infection dynamics, estimate transmission parameters, and visualize epidemic timelines. Uses a Bayesian approach with 'Stan' that models transmission probability as a function of viral load, seasonality and infectivity, multiple infection episodes (reinfections), and waning immunity modeling. Li et al. (2026) <doi:10.64898/2026.04.01.26349903>).
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.4.0), dplyr, ggplot2, tidyr, ggpubr, scales, deSolve, rlang
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, RcppParallel (>= 5.0.1), cowplot
VignetteBuilder: knitr
URL: https://github.com/keli5734/HHBayes
BugReports: https://github.com/keli5734/HHBayes/issues
NeedsCompilation: yes
Packaged: 2026-04-06 13:53:57 UTC; yh785
Author: Ke Li [aut, cre] , Yiren Hou [aut]
Maintainer: Ke Li <ke.li.kl662@yale.edu>
Repository: CRAN
Date/Publication: 2026-04-10 14:00:07 UTC

More information about HHBayes at CRAN
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Package InterpretMSSpectrum updated to version 1.5.3 with previous version 1.5.2 dated 2025-12-03

Title: Interpreting High Resolution Mass Spectra
Description: High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted. 'InterpretMSSpectrum' provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.
Author: Jan Lisec [aut, cre] , Jaeger Carsten [aut]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between InterpretMSSpectrum versions 1.5.2 dated 2025-12-03 and 1.5.3 dated 2026-04-10

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Package ggrounded updated to version 0.1.0 with previous version 0.0.3 dated 2023-05-11

Title: Rounded Bar Plots
Description: Creates bar plots with rounded corners using 'ggplot2'. The code in this package was adapted from a solution provided by Stack Overflow user 'sthoch' in the following post <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.
Author: Botan Agin [aut, cre, cph]
Maintainer: Botan Agin <aginbotan@gmail.com>

Diff between ggrounded versions 0.0.3 dated 2023-05-11 and 0.1.0 dated 2026-04-10

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Permanent link

New package uuidx with initial version 0.0.1
Package: uuidx
Title: Modern UUIDs for R with a Rust Backend
Version: 0.0.1
Description: Generate, parse, and validate RFC 9562 UUIDs from R using the Rust 'uuid' crate via 'extendr'. Developed by Thomas Bryce Kelly at Icy Seas Co-Laboratory LLC. Version 7 UUIDs are the default for new identifiers, while versions 4, 5, 6, and legacy version 1 are also supported. Functions return character vectors by default and can also expose 16-byte raw representations for low-level workflows.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.81
NeedsCompilation: yes
Depends: R (>= 4.3)
Suggests: testthat (>= 3.0.0)
Packaged: 2026-04-05 21:28:10 UTC; tbkelly
Author: Thomas Bryce Kelly [aut, cre], Icy Seas Co-Laboratory LLC [cph]
Maintainer: Thomas Bryce Kelly <tkelly@icyseascolab.io>
Repository: CRAN
Date/Publication: 2026-04-10 11:30:02 UTC

More information about uuidx at CRAN
Permanent link

Package ggpicrust2 updated to version 2.5.12 with previous version 2.5.10 dated 2026-02-12

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <doi:10.1093/bioinformatics/btad470>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

Diff between ggpicrust2 versions 2.5.10 dated 2026-02-12 and 2.5.12 dated 2026-04-10

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Package traits readmission to version 0.6.0 with previous version 0.5.1 dated 2024-05-17

Title: Species Trait Data from Around the Web
Description: Species trait data from many sources, including sequence data from NCBI (<https://www.ncbi.nlm.nih.gov/>), plant traits from BETYdb, and data from EOL Traitbank and BirdLife International.
Author: David LeBauer [aut, cre] , Scott Chamberlain [aut, cph] , Zachary Foster [aut], Ignasi Bartomeus [aut], Chris Black [aut], David Harris [aut], Rupert Collins [ctb]
Maintainer: David LeBauer <dlebauer@gmail.com>

This is a re-admission after prior archival of version 0.5.1 dated 2024-05-17

Diff between traits versions 0.5.1 dated 2024-05-17 and 0.6.0 dated 2026-04-10

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More information about traits at CRAN
Permanent link

New package tidyactuarial with initial version 0.1.1
Package: tidyactuarial
Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Version: 0.1.1
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, multi-life benefits, and related quantities. The package emphasizes clear actuarial notation consistent with standard curricula (e.g. SOA exams) and supports reproducible workflows using modern R.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, tibble, utils, stats, rlang, scales
Suggests: purrr
NeedsCompilation: no
Packaged: 2026-04-05 01:12:32 UTC; LENOVO
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 10:10:08 UTC

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Permanent link

Package sfcurve updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-13

Title: 2x2, 3x3 and Nxn Space-Filling Curves
Description: Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve. See <doi:10.48550/arXiv.2412.16962> for more details.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

Diff between sfcurve versions 1.0.0 dated 2024-09-13 and 1.0.1 dated 2026-04-10

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Package sccic updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-09

Title: Synthetic Control Changes-in-Changes Estimator
Description: Implements the Changes-in-Changes (CIC) estimator of Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> combined with synthetic control methods. Provides both the continuous CIC estimator (Theorem 3.1) and the discrete CIC estimator (Theorem 4.1) for integer-valued outcomes, with analytic and bootstrap inference. Also provides nonparametric estimation of the entire counterfactual distribution of outcomes for a treated group, allowing evaluation of average, quantile, and distributional treatment effects. Synthetic control weights are constructed via elastic net regularization to handle settings with many potential control units.
Author: Neil Hwang [aut, cre]
Maintainer: Neil Hwang <neil.hwang@bcc.cuny.edu>

Diff between sccic versions 0.1.0 dated 2026-04-09 and 0.1.1 dated 2026-04-10

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More information about sccic at CRAN
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Package rTPC updated to version 1.1.0 with previous version 1.0.4 dated 2023-08-17

Title: Fitting and Analysing Thermal Performance Curves
Description: Helps to fit thermal performance curves (TPCs). 'rTPC' contains 49 model formulations previously used to fit TPCs and has helper functions to set sensible start parameters, upper and lower parameter limits and estimate parameters useful in downstream analyses, such as cardinal temperatures, maximum rate and optimum temperature. See Padfield et al. (2021) <doi:10.1111/2041-210X.13585>.
Author: Daniel Padfield [aut, cre], Hannah O'Sullivan [aut], Francis Windram [aut]
Maintainer: Daniel Padfield <d.padfield@exeter.ac.uk>

Diff between rTPC versions 1.0.4 dated 2023-08-17 and 1.1.0 dated 2026-04-10

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Package pc updated to version 0.2 with previous version 0.1 dated 2026-03-30

Title: Pattern Causality Analysis
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 Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package cre.dcf updated to version 0.0.5 with previous version 0.0.3 dated 2026-01-12

Title: Discounted Cash Flow Tools for Commercial Real Estate
Description: Provides 'R' utilities to build unlevered and levered discounted cash flow (DCF) tables for commercial real estate (CRE) assets. Functions generate bullet and amortising debt schedules, compute credit metrics such as debt service coverage ratios (DSCR), debt yield ratios, and forward loan-to-value ratios (LTV), and expose an explicit property-level operating chain from gross effective income (GEI) to net operating income (NOI) and property before-tax cash flow (PBTCF). The toolkit supports end-to-end scenario execution from a YAML (YAML Ain't Markup Language) configuration file parsed with 'yaml', includes helpers for effective rent, constrained loan underwriting, and simplified SPV-level tax simulations, and ships reproducible vignettes for methodological and applied use cases.
Author: Kevin Poisson [aut, cre]
Maintainer: Kevin Poisson <kevin.poisson@parisgeo.cnrs.fr>

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New package WCRBayesDesign with initial version 1.0.1
Package: WCRBayesDesign
Title: Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand
Version: 1.0.1
Description: Calibrates Bayesian two-stage designs for single-arm phase II trials with time-to-event endpoints using a window-cohort with controlled roll-on. Interim monitoring is anchored to a locked interim cohort and a pre-specified follow-up requirement, so analysis timing remains predictable while preserving follow-up maturity. The package searches feasible interim rules, optimizes final sample size and decision thresholds, evaluates operating characteristics by Monte Carlo simulation, and supports exponential, Weibull, log-normal, log-logistic, and user-defined baseline survival models. Related published foundations include Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Cotterill and Whitehead (2015) <doi:10.1002/sim.6426>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: foreach, doParallel, stats, parallel
Suggests: devtools, roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-04-04 20:28:18 UTC; zcai13
Author: Zhongheng Cai [aut, cre], Haitao Pan [aut]
Maintainer: Zhongheng Cai <zhonghengcai123@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 10:00:08 UTC

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New package SBOAtools with initial version 0.1.0
Package: SBOAtools
Title: Secretary Bird Optimization for Continuous Optimization and Neural Networks
Version: 0.1.0
Description: Provides an implementation of secretary bird optimization for general-purpose continuous optimization and for training single-hidden-layer feed-forward neural network models.
License: MIT + file LICENSE
URL: https://github.com/burakdilber/SBOAtools
BugReports: https://github.com/burakdilber/SBOAtools/issues
Encoding: UTF-8
Imports: stats, graphics
NeedsCompilation: no
Packaged: 2026-04-04 14:40:09 UTC; hp
Author: Burak Dilber [aut, cre, cph], A. Firat Oezdemir [aut, cph]
Maintainer: Burak Dilber <burakdilber91@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-10 09:30:08 UTC

More information about SBOAtools at CRAN
Permanent link

New package rurality with initial version 0.1.0
Package: rurality
Title: Classification and Scoring of U.S. County and ZIP Code Rurality
Version: 0.1.0
Description: Provides USDA Rural-Urban Continuum Codes (RUCC 2023), Rural-Urban Commuting Area codes (RUCA 2020), and a composite rurality score for all U.S. counties. Functions enable lookup by FIPS code, ZIP code, or county name, and easy merging with existing datasets. Data sources include the USDA Economic Research Service, U.S. Census Bureau American Community Survey, and Census TIGER/Line shapefiles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, rlang, stringr
Suggests: ggplot2, knitr, rmarkdown, sf, tigris, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/cwimpy/rurality, https://rurality.app
BugReports: https://github.com/cwimpy/rurality/issues
NeedsCompilation: no
Packaged: 2026-04-04 13:49:52 UTC; cwimpy
Author: Cameron Wimpy [aut, cre]
Maintainer: Cameron Wimpy <cwimpy@astate.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:30:02 UTC

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Package mxcc updated to version 0.0.5 with previous version 0.0.4 dated 2025-08-19

Title: Maxwell Control Charts
Description: Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
Author: Zahid Khan [aut], Zsolt T. Kosztyan [aut, cre]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

Diff between mxcc versions 0.0.4 dated 2025-08-19 and 0.0.5 dated 2026-04-10

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More information about mxcc at CRAN
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New package observationalBlocks with initial version 1.0.0
Package: observationalBlocks
Title: Block Designs for Observational Studies
Version: 1.0.0
Description: Creates block designs of fixed size J with at least one treated and control unit per block. Blocks larger than pairs better distinguish effects caused by a treatment from unmeasured confounding in assignment of individuals to treatment. Somewhat counterintuitively, blocks larger than pairs can use more units while attaining better covariate balance and block homogeneity. A forthcoming manuscript by Brumberg and Rosenbaum details the design.
License: GPL-2
Encoding: UTF-8
Imports: iTOS, lpSolve, stats
Suggests: DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
LazyData: true
Packaged: 2026-04-04 19:15:23 UTC; katherine
Author: Katherine Brumberg [aut, cre] , Paul Rosenbaum [aut]
Maintainer: Katherine Brumberg <kbrum@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:50:02 UTC

More information about observationalBlocks at CRAN
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Package multiDEGGs updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-24

Title: Multi-Omic Differentially Expressed Gene-Gene Pairs
Description: Performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinform [...truncated...]
Author: Elisabetta Sciacca [aut, cre, cph] , Myles Lewis [ctb]
Maintainer: Elisabetta Sciacca <e.sciacca@qmul.ac.uk>

Diff between multiDEGGs versions 1.2.0 dated 2026-03-24 and 1.2.1 dated 2026-04-10

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Package moodlequiz updated to version 0.2.1 with previous version 0.2.0 dated 2025-12-06

Title: R Markdown format for 'Moodle' XML cloze quizzes
Description: Enables the creation of 'Moodle' quiz questions using literate programming with R Markdown. This makes it easy to quickly create a quiz that can be randomly replicated with new datasets, questions, and options for answers.
Author: Mitchell O'Hara-Wild [aut, cre] , Emi Tanaka [aut]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between moodlequiz versions 0.2.0 dated 2025-12-06 and 0.2.1 dated 2026-04-10

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Package LabRS updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-07

Title: Laboratorio di Ricerca Sociale con R
Description: Libreria di dati, scripts e funzioni che accompagna il libro "Ricerca sociale con R. Concetti e funzioni base per la ricerca sociale".
Author: Agnese Vardanega [aut, cre]
Maintainer: Agnese Vardanega <avardanega@unite.it>

Diff between LabRS versions 0.2.0 dated 2026-02-07 and 0.2.1 dated 2026-04-10

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Package jgsbook updated to version 1.0.8 with previous version 1.0.7 dated 2024-06-24

Title: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann
Description: All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

Diff between jgsbook versions 1.0.7 dated 2024-06-24 and 1.0.8 dated 2026-04-10

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New package coda.pack with initial version 0.1.2
Package: coda.pack
Title: Meta-Package for Compositional Data Analysis
Version: 0.1.2
Description: Meta-package for compositional data analysis. It attaches the main stable packages of the 'coda' ecosystem, currently 'coda.base' and 'coda.plot', and provides helper tools to install development extensions from 'GitHub'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0), coda.base, coda.plot
Suggests: remotes
NeedsCompilation: no
Packaged: 2026-03-12 13:27:43 UTC; marc
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>
Repository: CRAN
Date/Publication: 2026-04-10 09:40:09 UTC

More information about coda.pack at CRAN
Permanent link

Package BlanketStatsments readmission to version 0.1.3 with previous version 0.1.2 dated 2021-08-02

Title: Build and Compare Statistical Models
Description: Build and compare nested statistical models with sets of equal and different independent variables. An analysis using this package is Marquardt et al. (2021) <https://github.com/p-mq/Percentile_based_averaging>.
Author: Dr J. Peter Amin Marquardt [aut, cre]
Maintainer: Dr J. Peter Amin Marquardt <peter@kmarquardt.de>

This is a re-admission after prior archival of version 0.1.2 dated 2021-08-02

Diff between BlanketStatsments versions 0.1.2 dated 2021-08-02 and 0.1.3 dated 2026-04-10

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Package TrialEmulation updated to version 0.0.4.11 with previous version 0.0.4.9 dated 2026-01-14

Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] , Li Su [aut], Roonak Rezvani [aut] , Julia Moesch [aut], Medical Research Council [fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

Diff between TrialEmulation versions 0.0.4.9 dated 2026-01-14 and 0.0.4.11 dated 2026-04-10

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Package this.path updated to version 2.8.0 with previous version 2.7.1 dated 2025-11-07

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

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Package telescope updated to version 0.2-2 with previous version 0.2-1 dated 2025-08-18

Title: Bayesian Mixtures with an Unknown Number of Components
Description: Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>, Malsiner-Walli et al. (in press) <doi:10.1007/s11634-025-00640-x> and Malsiner-Walli et al. (2026) <doi:10.48550/arXiv.2603.00277>.
Author: Gertraud Malsiner-Walli [aut, cre] , Bettina Gruen [aut] , Sylvia Fruehwirth-Schnatter [aut]
Maintainer: Gertraud Malsiner-Walli <Gertraud.Malsiner-Walli@wu.ac.at>

Diff between telescope versions 0.2-1 dated 2025-08-18 and 0.2-2 dated 2026-04-10

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Package TAG readmission to version 0.7.1 with previous version 0.5.1 dated 2021-06-07

Title: Transformed Additive Gaussian Processes
Description: Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.
Author: Li-Hsiang Lin [aut, cre], V. Roshan Joseph [aut]
Maintainer: Li-Hsiang Lin <lhlin@gsu.edu>

This is a re-admission after prior archival of version 0.5.1 dated 2021-06-07

Diff between TAG versions 0.5.1 dated 2021-06-07 and 0.7.1 dated 2026-04-10

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Package scip updated to version 1.10.0-3 with previous version 1.10.0-2 dated 2026-04-03

Title: Interface to the SCIP Optimization Suite
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between scip versions 1.10.0-2 dated 2026-04-03 and 1.10.0-3 dated 2026-04-10

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Package rvMF updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-15

Title: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
Description: Generates pseudo-random vectors that follow an arbitrary von Mises-Fisher distribution on a sphere. This method is fast and efficient when generating a large number of pseudo-random vectors. Functions to generate random variates and compute density for the distribution of an inner product between von Mises-Fisher random vector and its mean direction are also provided. Details are in Kang and Oh (2024) <doi:10.1007/s11222-024-10419-3>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>

Diff between rvMF versions 0.1.1 dated 2026-02-15 and 0.1.2 dated 2026-04-10

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Package RFIF updated to version 1.0.1 with previous version 1.0 dated 2026-03-31

Title: Fast Iterative Filtering (FIF) with Portable FFT Backend
Description: Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.
Author: Chuck Coleman [aut, cre]
Maintainer: Chuck Coleman <cdcoleman113@gmail.com>

Diff between RFIF versions 1.0 dated 2026-03-31 and 1.0.1 dated 2026-04-10

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Package quasar updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-09

Title: Valid Inference on Multiple Quantile Regressions
Description: The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2026), <doi:10.48550/arXiv.2511.07999>.
Author: Angela Andreella [aut, cre], Anna Vesely [aut], Riccardo De Santis [aut]
Maintainer: Angela Andreella <angela.andreella@unive.it>

Diff between quasar versions 0.2.0 dated 2026-01-09 and 0.2.1 dated 2026-04-10

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Package panelView updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-21

Title: Visualizing Panel Data
Description: Visualizes panel data. It has four main functionalities: (1) it plots the treatment status and missing values in a panel dataset; (2) it visualizes the temporal dynamics of a main variable of interest; (3) it depicts the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate; (4) it displays the network structure of multi-way fixed effects as a k-partite graph, identifying connected components, singletons, and duplicate observations. For details, see <doi:10.18637/jss.v107.i07>.
Author: Yiqing Xu [aut, cre] , Hongyu Mou [aut], Licheng Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

Diff between panelView versions 1.2.1 dated 2026-03-21 and 1.3.0 dated 2026-04-10

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Package interflex updated to version 1.4.0 with previous version 1.2.8 dated 2025-12-17

Title: Estimation, Diagnostics and Visualization of Conditional Marginal Effects
Description: Performs estimation, diagnostics, and visualization of conditional marginal effects and group average treatment effects of a treatment on an outcome across different values of a moderator. Optionally integrates with the 'mlr3extralearners' package for additional machine learning backends compatible with the double machine learning estimators. 'mlr3extralearners' is not on CRAN but can be obtained from <https://github.com/mlr-org/mlr3extralearners>.
Author: Yiqing Xu [aut, cre], Jens Hainmueller [aut], Jonathan Mummolo [aut], Tianzhu Qin [aut], Jiehan Liu [aut], Ziyi Liu [aut]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package gecko updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-02

Title: Geographical Ecology and Conservation Knowledge Online
Description: Includes a collection of geographical analysis functions aimed primarily at ecology and conservation science studies, allowing processing of both point and raster data. Now integrates SPECTRE (<https://biodiversityresearch.org/spectre/>), a dataset of global geospatial threat data, developed by the authors.
Author: Vasco V. Branco [cre, aut] , Pedro Cardoso [aut] , Luis Correia [ctb]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>

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Package colorRamp2 updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-21

Title: Generate Color Mapping Functions
Description: A color mapping is generated according to the break values and corresponding colors. Other colors are generated by interpolating in a certain color space. The functions were part of the 'circlize' package <https://CRAN.R-project.org/package=circlize>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

Diff between colorRamp2 versions 0.1.0 dated 2022-12-21 and 0.1.1 dated 2026-04-10

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Package babynamesIL updated to version 0.2.3 with previous version 0.2.1 dated 2026-03-05

Title: Israel Baby Names 1949-2024
Description: Israeli baby names provided by Israel's Central Bureau of Statistics (CBS/LAMAS). Contains names used for at least 5 children in a given year, covering sectors "Jewish", "Muslim", "Christian-Arab", and "Druze" from 1949-2024. Legacy 1948 data and archived "Other" sector data are provided as separate datasets. Primary data source: CBS Release 391/2025 <https://www.cbs.gov.il/he/mediarelease/DocLib/2025/391/11_25_391t1.xlsx>.
Author: Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package TSSS updated to version 1.3.4-7 with previous version 1.3.4-5 dated 2023-09-29

Title: Time Series Analysis with State Space Model
Description: Functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (2020, ISBN: 978-0-367-18733-0).
Author: Yoshinori Kawasaki [aut, cre], Junji Nakano [aut], Masami Saga [aut], The Institute of Statistical Mathematics [cph, fnd]
Maintainer: Yoshinori Kawasaki <kawasaki@ism.ac.jp>

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Package timeROC updated to version 0.4.1 with previous version 0.4 dated 2019-12-18

Title: Time-Dependent ROC Curve and AUC for Censored Survival Data
Description: Estimation of time-dependent ROC curve and area under time dependent ROC curve (AUC) in the presence of censored data, with or without competing risks. Confidence intervals of AUCs and tests for comparing AUCs of two rival markers measured on the same subjects can be computed, using the iid-representation of the AUC estimator. Plot functions for time-dependent ROC curves and AUC curves are provided. Time-dependent Positive Predictive Values (PPV) and Negative Predictive Values (NPV) can also be computed. See Blanche et al. (2013) <doi:10.1002/sim.5958> and references therein for the details of the methods implemented in the package.
Author: Paul Blanche [aut, cre]
Maintainer: Paul Blanche <paulfblanche@gmail.com>

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Package SeleMix updated to version 1.0.4 with previous version 1.0.3 dated 2025-01-23

Title: Selective Editing via Mixture Models
Description: Detection of outliers and influential errors using a latent variable model.
Author: Ugo Guarnera [aut], Teresa Buglielli [aut], Davide Di Cecco [aut, cre]
Maintainer: Davide Di Cecco <dicecco@istat.it>

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Package samr updated to version 3.0.1 with previous version 3.0 dated 2018-10-16

Title: SAM: Significance Analysis of Microarrays
Description: Significance Analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Author: Rob Tibshirani [aut, cre], Michael J. Seo [aut], G. Chu [aut], Balasubramanian Narasimhan [aut], Jun Li [aut]
Maintainer: Rob Tibshirani <tibs@stanford.edu>

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Package psychReport readmission to version 4.0.1 with previous version 3.0.2 dated 2022-09-09

Title: Reproducible Reports in Psychology
Description: Helper functions for producing reports in Psychology (Reproducible Research). Provides required formatted strings (APA style) for use in 'Knitr'/'Latex' integration within *.Rnw files.
Author: Ian G Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G Mackenzie <ian.mackenzie@uni-tuebingen.de>

This is a re-admission after prior archival of version 3.0.2 dated 2022-09-09

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Package netdiffuseR readmission to version 1.25.0 with previous version 1.24.0 dated 2025-12-09

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] , Thomas Valente [aut, cph] , Anibal Olivera Morales [aut, ctb] , Stephanie Dyal [ctb] , Timothy Hayes [ctb]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 1.24.0 dated 2025-12-09

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Package nestedcv readmission to version 0.8.2 with previous version 0.8.0 dated 2025-03-10

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package <doi:10.1093/bioadv/vbad048>. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Cankut Cubuk [ctb] , Katriona Goldmann [ctb] , Ryan C. Thompson [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

This is a re-admission after prior archival of version 0.8.0 dated 2025-03-10

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Package microeco updated to version 2.1.0 with previous version 2.0.0 dated 2026-01-27

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package maplegend updated to version 0.6.1 with previous version 0.6.0 dated 2026-04-07

Title: Legends for Maps
Description: Create legends for maps and other graphics. Thematic maps need to be accompanied by legible legends to be fully comprehensible. This package offers a wide range of legends useful for cartography, some of which may also be useful for other types of graphics.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package FORTLS readmission to version 2.0.0 with previous version 1.6.2 dated 2026-01-19

Title: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
Description: Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martinez-Calvo [aut, com], Juan Gabriel Alvarez-Gonzalez [aut, ths], Fernando Montes [aut], Cesar Perez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <jamolinavalero@gmail.com>

This is a re-admission after prior archival of version 1.6.2 dated 2026-01-19

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Package CePa updated to version 0.8.2 with previous version 0.8.1 dated 2024-10-08

Title: Centrality-Based Pathway Enrichment
Description: It aims to find significant pathways through network topology information. It has several advantages compared with current pathway enrichment tools. First, pathway node instead of single gene is taken as the basic unit when analysing networks to meet the fact that genes must be constructed into complexes to hold normal functions. Second, multiple network centrality measures are applied simultaneously to measure importance of nodes from different aspects to make a full view on the biological system. CePa extends standard pathway enrichment methods, which include both over-representation analysis procedure and gene-set analysis procedure. <doi:10.1093/bioinformatics/btt008>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <guzuguang@suat-sz.edu.cn>

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Package boostmtree readmission to version 2.0.0 with previous version 1.5.1 dated 2022-03-10

Title: Boosted Multivariate Trees for Longitudinal Data
Description: Implements Friedman's gradient descent boosting algorithm for modeling longitudinal response using multivariate tree base learners. Longitudinal response could be continuous, binary, nominal or ordinal. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter. Although the package is design for longitudinal data, it can handle cross-sectional data as well. Implementation details are provided in Pande et al. (2017), Mach Learn <DOI:10.1007/s10994-016-5597-1>.
Author: Hemant Ishwaran [aut], Amol Pande [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

This is a re-admission after prior archival of version 1.5.1 dated 2022-03-10

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Package wordPuzzleR updated to version 0.1.2 with previous version 0.1.1 dated 2024-02-24

Title: Word Puzzle Game
Description: The word puzzle game requires you to find out the letters in a word within a limited number of guesses. In each round, if your guess hit any letters in the word, they reveal themselves. If all letters are revealed before your guesses run out, you win this game; otherwise you fail. You may run multiple games to guess different words.
Author: Xiurui Zhu [aut, cre], @olivroy [ctb]
Maintainer: Xiurui Zhu <zxr6@163.com>

Diff between wordPuzzleR versions 0.1.1 dated 2024-02-24 and 0.1.2 dated 2026-04-10

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Package rsconnect updated to version 1.8.0 with previous version 1.7.0 dated 2025-12-06

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

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Package box updated to version 1.2.2 with previous version 1.2.1 dated 2025-11-28

Title: Write Reusable, Composable and Modular R Code
Description: A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.
Author: Konrad Rudolph [aut, cre] , Michael Schubert [ctb]
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

Diff between box versions 1.2.1 dated 2025-11-28 and 1.2.2 dated 2026-04-10

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Package paco (with last version 0.4.2) was removed from CRAN

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

2020-08-25 0.4.2
2019-05-20 0.4.1
2019-05-12 0.4.0
2017-07-16 0.3.2
2016-12-05 0.3.1
2016-10-03 0.3.0
2015-11-10 0.2.3
2015-10-09 0.2.2
2015-07-18 0.2.1

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Package autoFC (with last version 0.2.0.1002) was removed from CRAN

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2025-03-13 0.2.0.1002
2024-02-17 0.2.0.1001
2021-06-07 0.1.2

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Package ggrasp (with last version 1.2) was removed from CRAN

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2022-04-21 1.2
2018-07-01 1.0

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2024-09-18 0.0.5

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2016-05-31 2016.05.31
2015-06-26 2015.06.25
2012-04-04 2012.04-0
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2008-03-06 1.0.1
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2007-10-21 0.2-2
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2024-07-30 1.0

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2021-10-10 1.8.5
2020-03-03 1.8.4
2017-02-27 1.8.3
2014-12-19 1.7
2013-11-19 1.6
2012-03-29 1.5
2011-12-07 1.4
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Package mixexp (with last version 1.2.7.1) was removed from CRAN

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2022-05-27 1.2.7
2016-08-12 1.2.5
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2015-08-12 1.2.3
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2014-11-11 1.1.8
2014-05-28 1.1.2
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Package irrCAC (with last version 1.0) was removed from CRAN

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2019-09-23 1.0

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2015-07-14 0.1.2

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2026-02-25 1.26.1
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2019-07-28 1.0.1

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Package readODS updated to version 2.3.4 with previous version 2.3.2 dated 2025-01-13

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

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Package randomForestSRC updated to version 3.6.1 with previous version 3.6.0 dated 2026-03-25

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package PortfolioAnalytics updated to version 2.1.2 with previous version 2.1.1 dated 2026-02-04

Title: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Description: Portfolio optimization and analysis routines and graphics.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Ross Bennett [ctb, cph], Kris Boudt [ctb, cph], Xinran Zhao [ctb, cph], R. Douglas Martin [ctb], Guy Yollin [ctb], Hezky Varon [ctb], Xiaokang Feng [ctb], Yifu Kang [ctb]
Maintainer: Brian G. Peterson <brian@braverock.com>

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Package NNS updated to version 12.0 with previous version 11.6.5 dated 2026-03-11

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. Designed for real-world data that violates symmetry, linearity, or distributional assumptions, NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second edition: <https://ovvo-financial.github.io/NNS/book/>).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

Diff between NNS versions 11.6.5 dated 2026-03-11 and 12.0 dated 2026-04-10

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Package nleqslv updated to version 3.3.7 with previous version 3.3.6 dated 2026-03-05

Title: Solve Systems of Nonlinear Equations
Description: Solve a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
Author: Berend Hasselman [aut] , Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package mixediffusion updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-20

Title: Mixed-Effects Diffusion Models with General Drift
Description: Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>

Diff between mixediffusion versions 1.0.0 dated 2026-03-20 and 1.0.1 dated 2026-04-10

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Package LCPA updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-27

Title: A General Framework for Latent Classify and Profile Analysis
Description: A unified latent class modeling framework that encompasses both latent class analysis (LCA) and latent profile analysis (LPA), offering a one-stop solution for latent class modeling. It implements state-of-the-art parameter estimation methods, including the expectation–maximization (EM) algorithm, neural network estimation (NNE; requires users to have 'Python' and its dependent libraries installed on their computer), and integration with 'Mplus' (requires users to have 'Mplus' installed on their computer). In addition, it provides commonly used model fit indices such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as classification accuracy measures such as entropy. The package also includes fully functional likelihood ratio tests (LRT) and bootstrap likelihood ratio tests (BLRT) to facilitate model comparison, along with bootstrap-based and observed information matrix-based standard error estimation. Furthermore, it supports the standard thr [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between LCPA versions 1.0.1 dated 2026-02-27 and 1.0.2 dated 2026-04-10

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Package autoharp updated to version 0.3.1 with previous version 0.2.0 dated 2026-02-19

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut], Agrawal Naman [aut, cre], Yuting Huang [ctb], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Agrawal Naman <naman.a@nus.edu.sg>

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Package peermodels (with last version 0.10.3) was removed from CRAN

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

2022-02-25 0.10.3
2021-09-06 0.10.2

Permanent link

Thu, 09 Apr 2026

Package SSVS updated to version 2.2.0 with previous version 2.1.0 dated 2025-03-19

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

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Package basifoR updated to version 0.7.7 with previous version 0.4.1 dated 2025-04-02

Title: Retrieval and Processing of the Spanish National Forest Inventory
Description: Fetches, harmonizes, and analyses data from the Spanish National Forest Inventory for reproducible, design-aware forest inventory workflows. Computes tree- and stand-level metrics, applies sampling-based expansion factors, estimates volume, and supports extensible processing for external inventory designs with custom sampling schemes and volume equations.
Author: Wilson Lara [aut, cre] , Cristobal Ordonez [aut] , Aitor Vazquez-Veloso [aut] , Felipe Bravo [aut]
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between basifoR versions 0.4.1 dated 2025-04-02 and 0.7.7 dated 2026-04-09

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Package TheseusPlot updated to version 0.2.0 with previous version 0.1.1 dated 2025-08-28

Title: Visualizing Decomposition of Differences in Rate Metrics
Description: Provides tools for decomposing differences in rate metrics between two groups into contributions from individual subgroups and visualizing them as a "Theseus Plot". Inspired by the story of the Ship of Theseus, the method replaces subgroup data from one group with that of another step by step, recalculating the overall metric at each stage to quantify subgroup contributions. A Theseus Plot combines the stepwise progression of a waterfall plot with the comparative bars of a bar chart, offering an intuitive way to understand subgroup-level effects.
Author: Koji Makiyama [aut, cre, cph], Kazuyuki Sano [ctb, wdc], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

Diff between TheseusPlot versions 0.1.1 dated 2025-08-28 and 0.2.0 dated 2026-04-09

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Package tlsR updated to version 0.2.0 with previous version 0.1.2 dated 2025-12-18

Title: Detection and Spatial Analysis of Tertiary Lymphoid Structures
Description: Fast, reproducible detection and quantitative analysis of tertiary lymphoid structures (TLS) in multiplexed tissue imaging. Implements Independent Component Analysis Trace (ICAT) index, local Ripley's K scanning, automated K Nearest Neighbor (KNN)-based TLS detection, and T-cell clusters identification as described in Amiryousefi et al. (2025) <doi:10.1101/2025.09.21.677465>.
Author: Ali Amiryousefi [aut, cre] , Jeremiah Wala [aut] , Peter Sorger [ctb]
Maintainer: Ali Amiryousefi <ali_amiryousefi@hms.harvard.edu>

Diff between tlsR versions 0.1.2 dated 2025-12-18 and 0.2.0 dated 2026-04-09

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Package fmpapi updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-18

Title: Flexible Client for the 'Financial Modeling Prep' API
Description: Provides a flexible interface to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com/developer/docs>. The package supports all available endpoints and parameters, enabling R users to interact with a wide range of financial data.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

Diff between fmpapi versions 1.0.0 dated 2025-10-18 and 1.0.1 dated 2026-04-09

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More information about fmpapi at CRAN
Permanent link

New package sftpR with initial version 0.2.0
Package: sftpR
Title: Robust SFTP Interface Using 'curl'
Version: 0.2.0
Description: Provides a high-level, object-oriented interface for Secure File Transfer Protocol (SFTP) operations built upon the 'curl' package. The package implements an 'R6' class to manage persistent connections and provides 'tidyverse'-style functions for common file system tasks. Key features include recursive directory creation with idempotency support, "smart" local path resolution that distinguishes between files and directories, and the ability to download remote resources directly into memory as raw vectors for seamless integration into data processing pipelines. It is designed to handle common SFTP edge cases gracefully, providing informative error messages and robust path sanitization to ensure compatibility across different server configurations.
License: MIT + file LICENSE
URL: https://mikuo0628.github.io/sftpR/, https://github.com/mikuo0628/sftpR
BugReports: https://github.com/mikuo0628/sftpR/issues
Encoding: UTF-8
SystemRequirements: libcurl: libcurl (with libssh2 support)
Depends: R (>= 4.1.0)
Imports: curl (>= 7.0.0), R6 (>= 2.6.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-03 17:10:35 UTC; rstudio
Author: Michael Kuo [aut, cre]
Maintainer: Michael Kuo <michael.kuo@bccdc.ca>
Repository: CRAN
Date/Publication: 2026-04-09 15:40:02 UTC

More information about sftpR at CRAN
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New package gtDesign with initial version 0.1.0
Package: gtDesign
Title: Convex Optimal Designs for Group Testing Experiments
Version: 0.1.0
Description: Finite candidate-set approximate optimal designs for group testing and related experiments, using convex optimization and equivalence checks. Implements the information matrix and cost structure for the prevalence / sensitivity / specificity model used in Huang and colleagues (2020), as in Chi-Kuang Yeh, Weng Kee Wong, and Julie Zhou (<doi:10.48550/arXiv.2508.08445>).
URL: https://github.com/chikuang/gtDesign, https://arxiv.org/abs/2508.08445
License: GPL-3
BugReports: https://github.com/chikuang/gtDesign/issues
Encoding: UTF-8
Imports: CVXR (>= 1.8.1), tibble, MASS
Suggests: testthat (>= 3.0.0), dplyr, knitr
NeedsCompilation: no
Packaged: 2026-04-03 17:13:36 UTC; chikuang
Author: Chi-Kuang Yeh [aut, cre] , Julie Zhou [aut], Weng Kee Wong [ctb]
Maintainer: Chi-Kuang Yeh <cyeh@gsu.edu>
Repository: CRAN
Date/Publication: 2026-04-09 15:40:08 UTC

More information about gtDesign at CRAN
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Package GapAnalysis readmission to version 2.0.0 with previous version 1.0.2 dated 2021-06-14

Title: Conservation Indicators Using Spatial Information
Description: Supports the assessment of the degree of conservation of taxa in conservation systems, both in ex situ (in genebanks, botanical gardens, and other repositories), and in situ (in protected natural areas). Methods are described in Carver et al. (2021) <doi:10.1111/ecog.05430>, building on Khoury et al. (2020) <doi:10.1073/pnas.2007029117>, Khoury et al. (2019) <doi:10.1016/j.ecolind.2018.11.016>, Khoury et al. (2019) <doi:10.1111/DDI.13008>, Castaneda-Alvarez et al. (2016) <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. (2010) <doi:10.1371/journal.pone.0013497>.
Author: Dan Carver [aut, cre, cph] , Sarah Gore [aut, cph] , Chrystian Sosa [aut, cph] , Colin Khoury [aut, cph] , Julian Ramirez-Villegas [aut, cph] , Valentin Stefan [ctb], Harold Achicanoy [ctb, cph], Maria Victoria Diaz [ctb, cph], Steven Sotelo [ctb, cp [...truncated...]
Maintainer: Dan Carver <carver.dan1@gmail.com>

This is a re-admission after prior archival of version 1.0.2 dated 2021-06-14

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Package DeSciDe updated to version 1.0.3 with previous version 1.0.2 dated 2025-08-31

Title: Tool for Unbiased Literature Searching and Gene List Curation
Description: Designed for genomic and proteomic data analysis, enabling unbiased PubMed searching, protein interaction network visualization, and comprehensive data summarization. This package aims to help users identify novel targets within their data sets based on protein network interactions and publication precedence of target's association with research context based on literature precedence. Methods in this package are described in detail in: Douglas et al. (2025) <doi:10.1039/D5MO00160A>. Key functionalities of this package also leverage methodologies from previous works, such as: - Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000> - Winter (2017) <doi:10.32614/RJ-2017-066>.
Author: Cameron Douglas [aut, cre]
Maintainer: Cameron Douglas <camerondouglas@ufl.edu>

Diff between DeSciDe versions 1.0.2 dated 2025-08-31 and 1.0.3 dated 2026-04-09

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New package ClassifyITS with initial version 0.1.0
Package: ClassifyITS
Title: Fungal Assignment Pipeline
Version: 0.1.0
Description: Fungi are ubiquitous in Earth's wonderfully diverse ecosystems. The 'ClassifyITS' package aids in the taxonomic classification of environmental internal transcribed spacer (ITS) short-read barcoding data. Unlike previous methods, it employs taxon-specific e-value and percent identity cutoffs at each taxonomic rank from kingdom to species. The package takes a conservative approach and outputs both graphics and user-friendly files to help users manually inspect fungal operational taxonomic units (OTUs) that fail classification at relevant levels (e.g., Phylum). 'ClassifyITS' is based on taxonomic cutoff criteria from "The Global Soil Mycobiome consortium dataset for boosting fungal diversity research" (Fungal Diversity, Tedersoo, 2021, <doi:10.1007/s13225-021-00493-7>) and "Best practices in metabarcoding of fungi: From experimental design to results" (Molecular Ecology, Tedersoo, 2022, <doi:10.1111/mec.16460>).
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, dplyr, gridExtra, grid, reshape2, data.table, seqinr
Suggests: formatR, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown, formatR
NeedsCompilation: no
Packaged: 2026-04-03 11:04:46 UTC; quinnmoon
Author: Quinn Moon [aut, cre]
Maintainer: Quinn Moon <qmoon@umich.edu>
Repository: CRAN
Date/Publication: 2026-04-09 15:20:09 UTC

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New package arg with initial version 0.1.0
Package: arg
Title: Clean and Simple Argument Checking
Version: 0.1.0
Description: Checks function arguments, ideally for use in R packages. Uses a simple interface and produces clean, informative error messages using 'cli'.
Depends: R (>= 4.1.0)
Imports: rlang (>= 1.1.0), cli (>= 3.6.4), stats, utils
License: GPL (>= 2)
Encoding: UTF-8
URL: https://ngreifer.github.io/arg/, https://github.com/ngreifer/arg
BugReports: https://github.com/ngreifer/arg/issues
NeedsCompilation: no
Packaged: 2026-04-03 14:07:57 UTC; NoahGreifer
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 15:20:02 UTC

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Package RJSDMX updated to version 3.9.0 with previous version 3.8-0 dated 2025-11-14

Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: <https://sdmx.org>.
Author: Attilio Mattiocco [aut, cre]
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>

Diff between RJSDMX versions 3.8-0 dated 2025-11-14 and 3.9.0 dated 2026-04-09

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Package Rduckhts updated to version 1.1.6-0.0.2 with previous version 1.1.4-0.0.1 dated 2026-03-31

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

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Package toscca updated to version 1.0 with previous version 0.1.1 dated 2026-03-24

Title: Thresholded Ordered Sparse CCA
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>

Diff between toscca versions 0.1.1 dated 2026-03-24 and 1.0 dated 2026-04-09

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Package spanishoddata updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-23

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Methods described in Kotov et al. (2026) <doi:10.1177/23998083251415040>. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package QuickJSR updated to version 1.9.1 with previous version 1.9.0 dated 2026-01-25

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.9.0 dated 2026-01-25 and 1.9.1 dated 2026-04-09

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Package pencal updated to version 2.3.1 with previous version 2.3.0 dated 2025-06-05

Title: Penalized Regression Calibration for the Dynamic Prediction of Survival
Description: Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. See Signorelli (2024) <doi:10.32614/RJ-2024-014> and Signorelli et al. (2021) <doi:10.1002/sim.9178> for details.
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb], Barbara Vreede [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package sd2R updated to version 0.1.9 with previous version 0.1.7 dated 2026-03-30

Title: Stable Diffusion Image Generation
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...]
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>

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Package rsurveycto updated to version 0.2.6 with previous version 0.2.5 dated 2026-02-12

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>

Diff between rsurveycto versions 0.2.5 dated 2026-02-12 and 0.2.6 dated 2026-04-09

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Package reticulate updated to version 1.46.0 with previous version 1.45.0 dated 2026-02-13

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package pak updated to version 0.9.3 with previous version 0.9.2 dated 2025-12-22

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pak versions 0.9.2 dated 2025-12-22 and 0.9.3 dated 2026-04-09

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Package rice updated to version 2.1.0 with previous version 2.0.1 dated 2026-03-19

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., in press. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package mmap updated to version 0.6-26 with previous version 0.6-24 dated 2026-01-31

Title: Map Pages of Memory
Description: R interface to POSIX mmap and Window's MapViewOfFile.
Author: Jeffrey A. Ryan [aut, cre]
Maintainer: Jeffrey A. Ryan <jeff.a.ryan@gmail.com>

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Package HPZoneAPI updated to version 1.3.0 with previous version 1.1.0 dated 2025-11-20

Title: 'HPZone' API Interface
Description: Package that simplifies the use of the 'HPZone' API. Most of the annoying and labor-intensive parts of the interface are handled by wrapper functions. Note that the API and its details are not publicly available. Information can be found at <https://www.ggdghorkennisnet.nl/groep/726-platform-infectieziekte-epidemiologen/documenten/map/9609> for those with access.
Author: Aart Dijkstra [aut, cre, cph]
Maintainer: Aart Dijkstra <a.dijkstra@ggdnog.nl>

Diff between HPZoneAPI versions 1.1.0 dated 2025-11-20 and 1.3.0 dated 2026-04-09

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Package ggseg3d updated to version 2.1.0 with previous version 2.0.0 dated 2026-02-20

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]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package factorH updated to version 0.6.0 with previous version 0.5.0 dated 2025-11-01

Title: Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests
Description: Multifactor nonparametric analysis of variance based on ranks. Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare extension to handle any factorial designs. Provides effect sizes, Dunn-Bonferroni pairwise-comparison matrices, and simple-effects analyses. Tailored for psychology and the social sciences, with beginner-friendly R syntax and outputs that can be dropped into journal reports. Includes helpers to export tab-separated results and compact tables of descriptive statistics (to APA-style reports).
Author: Tomasz Rak [aut, cre], Szymon Wrzesniowski [aut]
Maintainer: Tomasz Rak <tomasz.rak@upjp2.edu.pl>

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Package demofit updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-16

Title: Parametric Mortality Curve Fitting and Mortality Forecasting Tools
Description: Provides tools for fitting parametric mortality curves. Implements multiple optimisation strategies to enhance robustness and stability of parameter estimation. Offers tools for forecasting mortality rates guided by mortality curves. For modelling details see: Tabeau (2001) <doi:10.1007/0-306-47562-6_1>, Renshaw and Haberman (2006) <doi:10.1016/j.insmatheco.2005.12.001>, Cairns et al. (2009) <doi:10.1080/10920277.2009.10597538>.
Author: Jackie Li [aut, cre, cph]
Maintainer: Jackie Li <jackieli@smu.edu.sg>

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Package tidylearn updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-16

Title: A Unified Tidy Interface to R's Machine Learning Ecosystem
Description: Provides a unified tidyverse-compatible interface to R's machine learning ecosystem - from data ingestion to model publishing. The tl_read() family reads data from files ('CSV', 'Excel', 'Parquet', 'JSON'), databases ('SQLite', 'PostgreSQL', 'MySQL', 'BigQuery'), and cloud sources ('S3', 'GitHub', 'Kaggle'). The tl_model() function wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others with consistent function signatures and tidy tibble output. Results flow into unified 'ggplot2'-based visualization and optional formatted 'gt' tables via the tl_table() family. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for package-specific functionality. Methods include random forests Breiman (2001) <doi:10.1023/A:1010933404324>, LASSO regression Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, elastic [...truncated...]
Author: Cesaire Tobias [aut, cre]
Maintainer: Cesaire Tobias <cesaire@sheetsolved.com>

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Permanent link

New package survdistr with initial version 0.0.3
Package: survdistr
Title: Survival Distribution Container with Flexible Interpolation Methods
Version: 0.0.3
Description: Efficient containers for storing and managing prediction outputs from survival models, including Cox proportional hazards, random survival forests, and modern machine learning estimators. Provides fast C++ methods to evaluate survival probabilities, hazards, probability densities, and related quantities at arbitrary time points, with support for multiple interpolation methods via 'Rcpp'.
License: MIT + file LICENSE
URL: https://survdistr.mlr-org.com
Imports: checkmate, R6, Rcpp
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-04-03 09:40:38 UTC; john
Author: John Zobolas [aut, cre], Andreas Bender [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:30:15 UTC

More information about survdistr at CRAN
Permanent link

Package rsi updated to version 0.3.3 with previous version 0.3.2 dated 2025-01-21

Title: Efficiently Retrieve and Process Satellite Imagery
Description: Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.
Author: Michael Mahoney [aut, cre] , Felipe Carvalho [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Michael Sumner [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Permian Global [cph, f [...truncated...]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between rsi versions 0.3.2 dated 2025-01-21 and 0.3.3 dated 2026-04-09

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Permanent link

Package rpanel updated to version 1.1-6.3 with previous version 1.1-6.1 dated 2026-03-13

Title: Simple Interactive Controls for R using the 'tcltk' Package
Description: A set of functions to build simple GUI controls for R functions. These are built on the 'tcltk' package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as 'cartoons', are provided.
Author: Adrian Bowman [aut, cre, cph], Ewan Crawford [aut], Gavin Alexander [aut], Richard Bowman [aut]
Maintainer: Adrian Bowman <adrian.bowman@glasgow.ac.uk>

Diff between rpanel versions 1.1-6.1 dated 2026-03-13 and 1.1-6.3 dated 2026-04-09

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More information about rpanel at CRAN
Permanent link

Package PFIM updated to version 7.0.3 with previous version 7.0.2 dated 2026-01-30

Title: Population Fisher Information Matrix
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Author: Romain Leroux [aut, cre] , France Mentre [aut] , Jeremy Seurat [ctb]
Maintainer: Romain Leroux <romainlerouxPFIM@gmail.com>

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Package parsnip updated to version 1.5.0 with previous version 1.4.1 dated 2026-01-11

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
Author: Max Kuhn [cre, aut] , Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between parsnip versions 1.4.1 dated 2026-01-11 and 1.5.0 dated 2026-04-09

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Package emmeans updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-05

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cph], Julia Piaskowski [cre, aut], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Julia Piaskowski <julia.piask@gmail.com>

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Package cli updated to version 3.6.6 with previous version 3.6.5 dated 2025-04-23

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gabor Csardi [aut, cre], Hadley Wickham [ctb], Kirill Mueller [ctb], Salim Brueggemann [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <gabor@posit.co>

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 tests/testthat/_snaps/progress-message.md     |   30 +
 tests/testthat/_snaps/rules.md                |   13 
 tests/testthat/_snaps/substitution.md         |only
 tests/testthat/_snaps/tree.md                 |   76 ++++
 tests/testthat/_snaps/utils.md                |    9 
 tests/testthat/helper.R                       |   91 +++--
 tests/testthat/progresstest/R/test.R          |    1 
 tests/testthat/progresstest/src/cleancall.c   |    6 
 tests/testthat/progresstest/src/test.c        |    6 
 tests/testthat/progresstestcpp/R/testcpp.R    |    1 
 tests/testthat/setup.R                        |    1 
 tests/testthat/test-alerts.R                  |    1 
 tests/testthat/test-ansi-combine.R            |    1 
 tests/testthat/test-ansi-html.R               |    1 
 tests/testthat/test-ansi-hyperlink.R          |   63 +++
 tests/testthat/test-ansi-make.R               |   32 +-
 tests/testthat/test-ansi-palette.R            |    1 
 tests/testthat/test-ansi-utils.R              |    1 
 tests/testthat/test-ansi.R                    |   33 +-
 tests/testthat/test-ansiex-2.R                |   47 +-
 tests/testthat/test-ansiex.R                  |   97 +++---
 tests/testthat/test-app.R                     |    1 
 tests/testthat/test-assertions.R              |   79 ++---
 tests/testthat/test-box-styles.R              |    1 
 tests/testthat/test-boxes.R                   |   11 
 tests/testthat/test-bullets.R                 |    5 
 tests/testthat/test-cat-helpers.R             |    1 
 tests/testthat/test-cat.R                     |    1 
 tests/testthat/test-cliapp-output.R           |    1 
 tests/testthat/test-code.R                    |    1 
 tests/testthat/test-collapsing.R              |   42 +-
 tests/testthat/test-console-width.R           |    1 
 tests/testthat/test-containers.R              |    6 
 tests/testthat/test-css.R                     |   30 -
 tests/testthat/test-custom-handler.R          |    7 
 tests/testthat/test-deep-lists.R              |   21 -
 tests/testthat/test-defer.R                   |    2 
 tests/testthat/test-diff.R                    |   32 --
 tests/testthat/test-format-conditions.R       |   88 +++--
 tests/testthat/test-glue.R                    |    1 
 tests/testthat/test-hash.R                    |    1 
 tests/testthat/test-headers.R                 |   31 +
 tests/testthat/test-inline-2.R                |   33 +-
 tests/testthat/test-inline.R                  |   28 +
 tests/testthat/test-keypress.R                |   65 +++-
 tests/testthat/test-links.R                   |  322 +++++++++++---------
 tests/testthat/test-lists.R                   |    1 
 tests/testthat/test-meta.R                    |    1 
 tests/testthat/test-non-breaking-space.R      |    1 
 tests/testthat/test-num-ansi-colors.R         |   11 
 tests/testthat/test-package.R                 |    6 
 tests/testthat/test-pluralization.R           |   26 -
 tests/testthat/test-prettycode.R              |   63 ++-
 tests/testthat/test-progress-along.R          |    7 
 tests/testthat/test-progress-bar.R            |    1 
 tests/testthat/test-progress-c.R              |   29 -
 tests/testthat/test-progress-client.R         |   47 ++
 tests/testthat/test-progress-handler-logger.R |    1 
 tests/testthat/test-progress-handler-say.R    |    1 
 tests/testthat/test-progress-handlers.R       |    1 
 tests/testthat/test-progress-message.R        |   13 
 tests/testthat/test-progress-ticking.R        |   12 
 tests/testthat/test-progress-types.R          |   19 -
 tests/testthat/test-progress-utils.R          |    1 
 tests/testthat/test-progress-variables.R      |   18 -
 tests/testthat/test-rlang-errors.R            |  123 ++-----
 tests/testthat/test-rules.R                   |   20 -
 tests/testthat/test-sitrep.R                  |    1 
 tests/testthat/test-spark.R                   |    1 
 tests/testthat/test-spinners.R                |    1 
 tests/testthat/test-status-bar.R              |  156 ++++++---
 tests/testthat/test-subprocess.R              |   32 +-
 tests/testthat/test-substitution.R            |    8 
 tests/testthat/test-suppress.R                |    1 
 tests/testthat/test-text.R                    |    1 
 tests/testthat/test-themes.R                  |   18 -
 tests/testthat/test-timer.R                   |    1 
 tests/testthat/test-tree.R                    |  126 ++++++-
 tests/testthat/test-type.R                    |    1 
 tests/testthat/test-utf8.R                    |    1 
 tests/testthat/test-utils.R                   |   15 
 tests/testthat/test-verbatim.R                |    1 
 tests/testthat/test-vt.R                      |   47 ++
 tools/get-rstudio-themes.R                    |   90 +++--
 tools/parse-iterm.R                           |   33 +-
 tools/spinners.R                              |   30 +
 208 files changed, 4174 insertions(+), 2791 deletions(-)

More information about cli at CRAN
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New package circuitscaper with initial version 0.1.0
Package: circuitscaper
Title: 'Circuitscape' and 'Omniscape' Connectivity Analysis via 'Julia'
Version: 0.1.0
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Description: Provides an R-native interface to the 'Circuitscape.jl' and 'Omniscape.jl' 'Julia' packages for landscape connectivity modeling using circuit theory. Users work entirely in R with familiar objects (SpatRaster, file paths) while 'Julia' handles computation invisibly. Supports all four 'Circuitscape' modes (pairwise, one-to-all, all-to-one, advanced) and 'Omniscape' moving-window analysis. Methods are described in McRae (2006) <doi:10.1111/j.0014-3820.2006.tb00500.x> and Landau et al. (2021) <doi:10.21105/joss.02829>.
License: MIT + file LICENSE
URL: https://github.com/matthewkling/circuitscaper, https://matthewkling.github.io/circuitscaper/
BugReports: https://github.com/matthewkling/circuitscaper/issues
Depends: R (>= 4.0)
Imports: terra, JuliaCall, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Julia (>= 1.9), Circuitscape.jl, Omniscape.jl
NeedsCompilation: no
Packaged: 2026-04-04 13:27:15 UTC; matthewkling
Repository: CRAN
Date/Publication: 2026-04-09 09:20:02 UTC

More information about circuitscaper at CRAN
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Package jackstraw (with last version 1.3.17) was removed from CRAN

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

2024-09-16 1.3.17
2024-08-30 1.3.15
2024-02-07 1.3.9

Permanent link
New package tptest with initial version 1.0.3
Package: tptest
Title: Universal Turning Point and Inflection Point Tests
Version: 1.0.3
Date: 2026-03-07
Description: Performs turning point and inflection point tests for U-shaped and inverse U-shaped relationships in regression models. Implements the Sasabuchi (1980) test as extended by Lind and Mehlum (2010) with support for quadratic, cubic, log-quadratic, and inverse functional forms. Features include delta-method standard errors, Fieller confidence intervals, Simonsohn (2018) two-lines test, and parametric bootstrap. Designed for post-estimation analysis of linear models, panel models, and quantile regression. References: Lind and Mehlum (2010) <doi:10.1111/j.1468-0084.2009.00569.x>; Sasabuchi (1980); Fieller (1954) <doi:10.1111/j.2517-6161.1954.tb00159.x>.
License: GPL-3
URL: https://github.com/muhammedalkhalaf/tptest
BugReports: https://github.com/muhammedalkhalaf/tptest/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, lmtest, sandwich, plm, quantreg
NeedsCompilation: no
Packaged: 2026-04-02 15:26:14 UTC; SYSTEM
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 08:20:02 UTC

More information about tptest at CRAN
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Package tableParser updated to version 1.0.5 with previous version 1.0.4 dated 2026-03-30

Title: Parse Tabled Content to Text Vector and Extract Statistical Standard Results
Description: Features include the ability to extract tabled content from NISO-JATS-coded XML, any native HTML or HML file, DOCX, and PDF documents, and then collapse it into a text format that is readable by humans by mimicking the actions of a screen reader. As tables within PDF documents are extracted with the 'tabulapdf' package, and the table captions and footnotes cannot be extracted, the results on tables within PDF documents have to be considered less precise. The function table2matrix() returns a list of the tables within a document as character matrices. table2text() collapses the matrix content into a list of character strings by imitating the behavior of a screen reader. The textual representation of characters and numbers can be unified with unifyMatrix() before parsing. The function table2stats() extracts the tabled statistical test results from the collapsed text with the function standardStats() from the 'JATSdecoder' package and, if activated, checks the reported and coded p-values [...truncated...]
Author: Ingmar Boeschen [aut, cre]
Maintainer: Ingmar Boeschen <ingmar.boeschen@uni-hamburg.de>

Diff between tableParser versions 1.0.4 dated 2026-03-30 and 1.0.5 dated 2026-04-09

 DESCRIPTION            |    8 +++----
 MD5                    |    6 ++---
 R/parseMatrixContent.R |    7 ++++++
 R/tableFunctions.R     |   51 ++++++++++++++++++++++++++++++++++++++++++++++++-
 4 files changed, 64 insertions(+), 8 deletions(-)

More information about tableParser at CRAN
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New package shinydataviewer with initial version 0.1.0
Package: shinydataviewer
Title: Reusable Data Viewer Module for 'shiny'
Version: 0.1.0
Description: Provides a reusable 'shiny' module for viewing tabular data with a searchable 'reactable' table and a variable summary sidebar built with 'bslib'.
License: MIT + file LICENSE
BugReports: https://github.com/Ryan-W-Harrison/shinydataviewer/issues
Imports: bslib, htmltools, reactable, shiny
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://ryan-w-harrison.github.io/shinydataviewer/, https://github.com/Ryan-W-Harrison/shinydataviewer
NeedsCompilation: no
Packaged: 2026-04-04 03:30:30 UTC; rh
Author: Ryan Harrison [aut, cre, cph]
Maintainer: Ryan Harrison <harrison.ryan.w@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-09 09:00:03 UTC

More information about shinydataviewer at CRAN
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