Sat, 13 Jun 2026

Package tokenizers.bpe updated to version 0.1.6 with previous version 0.1.5 dated 2026-05-20

Title: Byte Pair Encoding Text Tokenization
Description: Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library <https://github.com/VKCOM/YouTokenToMe> which is an implementation of fast Byte Pair Encoding (BPE) <https://aclanthology.org/P16-1162/>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , VK.com [cph], Gregory Popovitch [ctb, cph] , The Abseil Authors [ctb, cph] , Ivan Belonogov [ctb, cph] )
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package triplediff updated to version 0.2.4 with previous version 0.2.0 dated 2026-01-15

Title: Triple-Difference Estimators
Description: Implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>.
Author: Marcelo Ortiz-Villavicencio [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Marcelo Ortiz-Villavicencio <marcelo.ortiz@emory.edu>

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Package dataseries updated to version 1.0.0 with previous version 0.2.0 dated 2017-04-29

Title: Switzerland's Data Series in One Place
Description: Download and import open Swiss economic time series from 'dataseries.org' <https://dataseries.org>, a comprehensive and up-to-date collection of public data from Switzerland. Series are retrieved through the public 'dataseries.org' API and imported as a 'data.frame' or 'ts' object.
Author: Christoph Sax [aut, cre], Jannes Muenchow [ctb]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package TrackTrap updated to version 1.0.0 with previous version 0.1.0 dated 2026-05-20

Title: Model Cumulative Growing Degree-Days for Pest Monitoring
Description: Pest monitoring is crucial, especially during the early season, to understand the distribution and the proliferation of the target pest. Raw count data from pest monitoring/traps can be coupled with environmental variables such as temperature, growing degree-day ('GDD') etc. to get useful insights about the pest phenology. This package pulls temperature data from the California Irrigation Management Information System ('CIMIS', <https://cimis.water.ca.gov>), the 'Daymet' application programming interface ('API', <https://daymet.ornl.gov>), or 'Open Meteo' ('API', <https://open-meteo.com/>) sequentially for a user-specified time period and calculates cumulative growing degree-days. Users provide pest development thresholds (lower and upper temperatures), pest of concern, and the geographic coordinates of the trap location to track emergence and phenology.
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

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Package LocaTT updated to version 1.3.0 with previous version 1.2.0 dated 2026-03-27

Title: Geographically-Conscious Taxonomic Assignment for Metabarcoding
Description: A bioinformatics pipeline for performing taxonomic assignment of DNA metabarcoding sequence data while considering geographic location. A detailed tutorial is available at <https://urodelan.github.io/LocaTT_Tutorial/>. A manuscript describing these methods is in preparation.
Author: Kenen B Goodwin [aut, cre] , Christopher Cousins [ctb], Taal Levi [ctb], Tiffany S Garcia [ths]
Maintainer: Kenen B Goodwin <urodelan@gmail.com>

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Package topics updated to version 1.0 with previous version 0.70 dated 2026-02-16

Title: Creating and Significance Testing Language Features for Visualisation
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package TmCalculator updated to version 1.0.6 with previous version 1.0.5 dated 2026-06-04

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Corrections are supported for salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) and for chemical conditions such as [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package tidyILD readmission to version 0.4.1 with previous version 0.4.0 dated 2026-04-17

Title: Tidy Intensive Longitudinal Data Analysis
Description: A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>

This is a re-admission after prior archival of version 0.4.0 dated 2026-04-17

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Package text updated to version 1.9 with previous version 1.8.1 dated 2026-02-16

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package pvarife updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-11

Title: Panel VAR Models with Interactive Fixed Effects
Description: Implements the estimator of Tugan (2021) <doi:10.1093/ectj/utaa021> for panel vector autoregression (VAR) models with interactive fixed effects. Provides joint estimation of VAR coefficients, latent common factors, and factor loadings via an iterative algorithm that alternates between principal component estimation of the factors and least squares estimation of the VAR coefficients, following the approach of Bai (2009) <doi:10.3982/ECTA6135>. Supports impulse response functions under recursive (Cholesky) identification, parametric confidence bands from the joint asymptotic distribution of the estimator (Theorem 2.3), and a classical residual bootstrap for robustness checks.
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>

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Package joinspy updated to version 0.8.3 with previous version 0.8.2 dated 2026-06-12

Title: Diagnostic Tools for Data Frame Joins
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package ggRandomForests updated to version 3.1.2 with previous version 3.1.0 dated 2026-06-11

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Package did updated to version 2.5.0 with previous version 2.3.0 dated 2025-12-13

Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption [...truncated...]
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package MethScope updated to version 1.0.2 with previous version 1.0.1 dated 2026-02-26

Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME “.cg/.cm” files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>

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Package bvarnet updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-27

Title: Bayesian Estimation of Dynamic VAR Models using STAN
Description: Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.
Author: Florian Metwaly [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly@uva.nl>

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Package diversityArch updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-04

Title: Computes Diversity Indices for Archaeological Data
Description: Companion package of Arnaud Barat, Andreu Sansó, Maite Arilla-Osuna, Ruth Blasco, Iñaki Pérez-Fernández, Gabriel Cifuentes-Alcobenda, Rubén Llorente, Daniel Vivar-Ríos, Ella Assaf, Ran Barkai, Avi Gopher, & Jordi Rosell-Ardèvol (2026) <doi:10.1007/s10816-026-09802-3>. It computes Diversity Indices, decomposes several of them and computes bootstrap confidence intervals.
Author: Andreu Sanso [aut, cre], Arnaud Barat [aut], Jordi Rosell [aut]
Maintainer: Andreu Sanso <andreu.sanso@uib.eu>

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Package ccar3 readmission to version 0.1.2 with previous version 0.1.1 dated 2026-04-29

Title: Canonical Correlation Analysis via Reduced Rank Regression
Description: Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumed to be smooth on the graph. For more details see Donnat and Tuzhilina (2024) <doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160> [...truncated...]
Author: Claire Donnat [aut, cre] , Elena Tuzhilina [aut] , Zixuan Wu [aut]
Maintainer: Claire Donnat <cdonnat@uchicago.edu>

This is a re-admission after prior archival of version 0.1.1 dated 2026-04-29

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Package BayesERtools updated to version 0.2.6 with previous version 0.2.5 dated 2026-04-23

Title: Bayesian Exposure-Response Analysis Tools
Description: Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.
Author: Kenta Yoshida [aut, cre] , Francois Mercier [aut] , Danielle Navarro [aut] , Genentech, Inc. [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package rstanemax updated to version 0.1.10 with previous version 0.1.9 dated 2025-02-17

Title: Emax Model Analysis with 'Stan'
Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation, without writing 'Stan' model code.
Author: Kenta Yoshida [aut, cre] , Danielle Navarro [aut] , Trustees of Columbia University [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package RGraphSpace updated to version 1.4.0 with previous version 1.3.0 dated 2026-05-22

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: An interface to integrate 'igraph' and 'ggplot2' graphics within a normalized coordinate system. 'RGraphSpace' extends 'ggplot2' with graph-aware geometries optimized for large networks. The 'GraphSpace' class integrates directly with 'ggplot2' through specialized 'geoms' and lazy resolution of node attributes, supporting customization of aesthetics and visual styles. These 'geoms' use a dual-anchor normalization approach to align layers, particularly useful for analyses in which network elements must be spatially aligned with reference maps and images.
Author: Sysbiolab Team [aut], Flavio Kessler [ctb], Jonathan Back [ctb], Lana Querne [ctb], Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package bioRad updated to version 0.12.0 with previous version 0.11.0 dated 2025-08-29

Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] , Peter Desmet [aut] , Bart Kranstauber [aut] , Cecilia Nilsson [aut] , Alexander Tedeschi [aut] , Stijn Van Hoey [aut] , Bart Hoekstra [ctb] , Pieter Huybrechts [ctb] , Hidde Leijnse [ctb] , Nicolas Noe [ctb] , Raphael N [...truncated...]
Maintainer: Adriaan M. Dokter <biorad@cornell.edu>

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Package bbotk updated to version 1.10.1 with previous version 1.10.0 dated 2026-04-08

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.10.0 dated 2026-04-08 and 1.10.1 dated 2026-06-13

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Package ProbeDeveloper updated to version 1.1.2 with previous version 1.1.1 dated 2026-03-23

Title: Develop Hybridization Probes
Description: Hybridization probes for target sequences can be made based on melting temperature value calculated by R package 'TmCalculator' <https://CRAN.R-project.org/package=TmCalculator> and methods extended from Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those hybridization probes can be used to capture specific target regions in fluorescence in situ hybridization and next generation sequence experiments.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between ProbeDeveloper versions 1.1.1 dated 2026-03-23 and 1.1.2 dated 2026-06-13

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Fri, 12 Jun 2026

Package rcatfish updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-19

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

Diff between rcatfish versions 1.0.2 dated 2026-02-19 and 1.0.3 dated 2026-06-12

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Package harmony readmission to version 2.0.5 with previous version 2.0.4 dated 2026-06-04

Title: Fast, Sensitive, and Accurate Integration of Single Cell Data
Description: Implementation of the Harmony algorithm for single cell integration, described in Patikas, Yao, et al. <doi:10.64898/2026.03.16.711825>. Package includes a standalone Harmony function and interfaces to external frameworks.
Author: Nikolaos Patikas [aut, ctb] , Hongcheng Yao [aut, ctb] , Ilya Korsunsky [cre, aut] , Martin Hemberg [aut] , Nghia Millard [aut] , Jean Fan [aut, ctb] , Kamil Slowikowski [aut, ctb] , Miles Smith [ctb], Soumya Raychaudhuri [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky@gmail.com>

This is a re-admission after prior archival of version 2.0.4 dated 2026-06-04

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Package focus updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-09

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

Diff between focus versions 0.1.6 dated 2026-06-09 and 0.1.7 dated 2026-06-12

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Package ledger updated to version 2.1.1 with previous version 2.0.13 dated 2026-03-30

Title: Utilities for Importing Data from Plain Text Accounting Files
Description: Utilities for querying plain text accounting files from 'Ledger', 'HLedger', and 'Beancount'.
Author: Trevor L. Davis [aut, cre] , Jenya Sovetkin [ctb], Chris Lloyd [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between ledger versions 2.0.13 dated 2026-03-30 and 2.1.1 dated 2026-06-12

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Package joinspy updated to version 0.8.2 with previous version 0.8.0 dated 2026-03-31

Title: Diagnostic Tools for Data Frame Joins
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package h3sdm updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-29

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package earthdatalogin updated to version 0.0.4 with previous version 0.0.3 dated 2025-07-11

Title: NASA 'EarthData' Access Utilities
Description: Providing easy, portable access to NASA 'EarthData' products through the use of bearer tokens. Much of NASA's public data catalogs hosted and maintained by its 12 Distributed Active Archive Centers ('DAACs') are now made available on the Amazon Web Services 'S3' storage. However, accessing this data through the standard 'S3' API is restricted to only to compute resources running inside 'us-west-2' Data Center in Portland, Oregon, which allows NASA to avoid being charged data egress rates. This package provides public access to the data from any networked device by using the 'EarthData' login application programming interface (API), <https://www.earthdata.nasa.gov/data/earthdata-login>, providing convenient authentication and access to cloud-hosted NASA 'EarthData' products. This makes access to a wide range of earth observation data from any location straight forward and compatible with R packages that are widely used with cloud native earth observation data (such as 'terra', 's [...truncated...]
Author: Carl Boettiger [aut, cre, cph] , Luis Lopez [aut] , Yuvi Panda [aut], Bri Lind [aut] , Andy Teucher [ctb] , Openscapes [fnd]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package netUtils updated to version 0.8.6 with previous version 0.8.5 dated 2026-04-14

Title: A Collection of Tools for Network Analysis
Description: Provides a collection of network analytic (convenience) functions which are missing in other standard packages. This includes triad census with attributes <doi:10.1016/j.socnet.2019.04.003>, core-periphery models <doi:10.1016/S0378-8733(99)00019-2>, and several graph generators. Most functions are build upon 'igraph'.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package MDP2 readmission to version 2.2.2.0 with previous version 2.1.2 dated 2023-01-31

Title: Markov Decision Processes (MDPs)
Description: Create and optimize (semi) MDPs with discrete time steps and state space. Both hierarchical and ordinary-traditional MDPs can be modeled.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

This is a re-admission after prior archival of version 2.1.2 dated 2023-01-31

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Package iccde updated to version 0.3.9 with previous version 0.3.8 dated 2025-04-23

Title: Computation of the Double-Entry Intraclass Correlation
Description: The functions compute the double-entry intraclass correlation, which is an index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry intraclass correlation is a more precise index of the agreement of two empirically observed profiles than the often-used intraclass correlation (McCrae, 2008). Profiles comprising correlations are automatically transformed according to the Fisher z-transformation before the double-entry intraclass correlation is calculated. If the profiles comprise scores such as sum scores from various personality scales, it is recommended to standardize each individual score prior to computation of the double-entry intraclass correlation (McCrae, 2008). See Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104> for details.
Author: Christian Bloetner [aut, cre], Michael Paul Grosz [aut]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>

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Package TemporalHazard updated to version 1.1.0 with previous version 1.0.3 dated 2026-05-30

Title: Temporal Parametric Hazard Modeling
Description: Provides native R implementations of the multiphase parametric hazard model of Blackstone, Naftel, and Turner (1986) <doi:10.1080/01621459.1986.10478314> with a focus on behavioral parity, transparent numerics, and reproducible validation against reference outputs from the original 'C'/'SAS' HAZARD program, originally developed at the University of Alabama at Birmingham (UAB). The 'SAS'/'C' code and this R package are currently developed and maintained at The Cleveland Clinic Foundation, and the R code was wholly developed at The Cleveland Clinic Foundation. The generalized temporal decomposition family extends to longitudinal mixed-effects settings (Rajeswaran et al. 2018 <doi:10.1177/0962280215623583>). The package is intentionally implemented in pure R first; performance-critical paths may later be accelerated with 'Rcpp' without changing the public interface.
Author: John Ehrlinger [aut, cre, cph]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Permanent link

Package hellodatascience updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-19

Title: Datasets from the Hello Data Science Book
Description: Provides datasets used for analysis and visualizations in the open-access Hello Data Science book.
Author: Mine Dogucu [aut, cre] , Catalina Medina [aut] , Alma Castro [aut]
Maintainer: Mine Dogucu <mdogucu@gmail.com>

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Package sdcMicro updated to version 5.8.2 with previous version 5.8.1 dated 2026-03-10

Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] code code for rank swapping, mdav-microaggregation, suda2 and other risk measures [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package rayimage updated to version 0.26.1 with previous version 0.15.1 dated 2025-02-01

Title: Image Processing for Simulated Cameras
Description: Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices, including common raster formats such as 'JPEG', 'PNG', 'TIFF', 'TGA', 'BMP', 'PSD', 'GIF', 'HDR', 'PIC', 'PNM', 'DNG', and 'EXR'. Includes functions to perform 2D convolutions, color correction, colorspace conversion, image/matrix reorientation and resizing, image and text overlays, exposure adjustment, camera vignette effects, and image titles.
Author: Tyler Morgan-Wall [aut, cph, cre]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package msPCA updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-22

Title: Sparse Principal Component Analysis with Multiple Principal Components
Description: Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2026) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
Author: Ryan Cory-Wright [aut, cph] , Jean Pauphilet [aut, cre, cph]
Maintainer: Jean Pauphilet <jpauphilet@london.edu>

Diff between msPCA versions 0.4.0 dated 2026-05-22 and 0.4.1 dated 2026-06-12

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Package mfrmr updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-16

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) <doi:10.1007/BF02293814>, 'Masters' (1982) <doi:10.1007/BF02296272>, and 'Muraki' (1992) <doi:10.1177/014662169201600206> for the underlying ordered-response models.
Author: Ryuya Komuro [aut, cre, cph]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

Diff between mfrmr versions 0.2.0 dated 2026-05-16 and 0.2.1 dated 2026-06-12

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Package tabnet updated to version 0.9.0 with previous version 0.8.0 dated 2026-01-31

Title: Fit 'TabNet' Models for Classification and Regression
Description: Implements the 'TabNet' model by Sercan O. Arik et al. (2019) <doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label Classification Networks' by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for fitting and creating predictions. It's also fully compatible with the 'tidymodels' ecosystem.
Author: Daniel Falbel [aut], RStudio [cph], Christophe Regouby [cre, ctb], Egill Fridgeirsson [ctb], Philipp Haarmeyer [ctb], Sven Verweij [ctb]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>

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Package mtarm updated to version 0.1.9 with previous version 0.1.8 dated 2026-01-11

Title: Bayesian Estimation of Multivariate Threshold Autoregressive Models
Description: Estimation, inference and forecasting using the Bayesian approach for multivariate threshold autoregressive (TAR) models in which the distribution used to describe the noise process belongs to the class of Gaussian variance mixtures.
Author: Luis Hernando Vanegas [aut, cre], Sergio Alejandro Calderon [aut], Luz Marina Rondon [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

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Package metalite.sl updated to version 0.1.2 with previous version 0.1.1 dated 2025-05-08

Title: Subject-Level Analysis Using 'metalite'
Description: Analyzes subject-level data in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the subject-level analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Author: Yujie Zhao [aut, cre], Benjamin Wang [aut], Hiroaki Fukuda [aut], PoYao Niu [aut], Nan Xiao [aut], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package JDCruncheR updated to version 0.4.0 with previous version 0.3.6 dated 2025-07-24

Title: 'JDemetra+' Quality Report Generator
Description: Tool for generating quality reports from cruncher outputs (and calculating series scores). The latest version of the cruncher can be downloaded here: <https://github.com/jdemetra/jwsacruncher/releases>.
Author: Tanguy Barthelemy [aut, cre, art], Eulalie Delaune [aut], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package boxly updated to version 0.1.2 with previous version 0.1.1 dated 2023-10-23

Title: Interactive Box Plot
Description: Interactive box plot using 'plotly' for clinical trial analysis.
Author: Yujie Zhao [aut, cre], Benjamin Wang [aut], Yilong Zhang [ctb], Nan Xiao [ctb], Hiroaki Fukuda [ctb], Sarad Nepal [ctb], Madhusudhan Ginnaram [ctb], Venkatesh Burla [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package admiralophtha updated to version 1.5.0 with previous version 1.4.0 dated 2026-01-16

Title: ADaM in R Asset Library - Ophthalmology
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Edoardo Mancini [aut, cre] , Yuki Matsunaga [aut], F. Hoffmann-La Roche AG [cph, fnd], Novartis AG [cph, fnd]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package futurize updated to version 1.0.0 with previous version 0.3.0 dated 2026-04-01

Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function turns sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this transpiler function with R's native pipe operator, you have a convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that can be "futurized" are 'BiocParallel', 'plyr', 'crossmap', 'pbapply' packages. There is also support for a growing set of domain-specific packages on CRAN (e.g. 'boot', 'caret', 'DiceKriging', 'ez', 'fgsea', 'fwb', 'gamlss', 'glmmTMB', 'glmnet', 'kernelshap', 'lme4', 'metafor', 'mgcv', 'modelsummary', 'parameters', 'partykit', 'pls', 'pvclust', 'riskRegre [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package fastreg updated to version 0.13.8 with previous version 0.13.0 dated 2026-06-04

Title: Fast Conversion and Querying of Danish Registers with 'Parquet'
Description: Converts large Danish register files ('sas7bdat') into 'Parquet' format with year-based 'Hive' partitioning and chunked reading for larger-than-memory files. Supports parallel conversion with a 'targets' pipeline and reading those registers into 'DuckDB' tables for faster querying and analyses.
Author: Signe Kirk Broedbaek [aut, cre] , Luke Johnston [aut] , Steno Diabetes Center Aarhus [cph], Aarhus University [cph]
Maintainer: Signe Kirk Broedbaek <signekb@clin.au.dk>

Diff between fastreg versions 0.13.0 dated 2026-06-04 and 0.13.8 dated 2026-06-12

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More information about fastreg at CRAN
Permanent link

Package Rrepest updated to version 1.6.14 with previous version 1.6.13 dated 2026-06-05

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

Diff between Rrepest versions 1.6.13 dated 2026-06-05 and 1.6.14 dated 2026-06-12

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Package IceSat2R updated to version 1.1.0 with previous version 1.0.9 dated 2026-03-05

Title: 'ICESat-2' Altimeter Data using R
Description: Programmatic connection to the 'OpenAltimetry' API <https://openaltimetry.earthdatacloud.nasa.gov/data/openapi/swagger-ui/index.html/> to download and process 'ATL03' (Global 'Geolocated' Photon Data), 'ATL06' (Land Ice Height), 'ATL07' (Sea Ice Height), 'ATL08' (Land and Vegetation Height), 'ATL10' (Sea Ice 'Freeboard'), 'ATL12' (Ocean Surface Height) and 'ATL13' (Inland Water Surface Height) 'ICESat-2' Altimeter Data. The user has the option to download the data by selecting a bounding box from a 1- or 5-degree grid globally utilizing a shiny application. The 'ICESat-2' mission collects 'altimetry' data of the Earth's surface. The sole instrument on 'ICESat-2' is the Advanced Topographic Laser Altimeter System (ATLAS) instrument that measures ice sheet elevation change and sea ice thickness, while also generating an estimate of global vegetation biomass. 'ICESat-2' continues the important observations of ice-sheet elevation change, sea-ice 'freeboard', and vegetation canopy hei [...truncated...]
Author: Lampros Mouselimis [aut, cre] , OpenAltimetry.org [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between IceSat2R versions 1.0.9 dated 2026-03-05 and 1.1.0 dated 2026-06-12

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Package cpp4r updated to version 1.0.0 with previous version 0.6.0 dated 2026-05-17

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

Diff between cpp4r versions 0.6.0 dated 2026-05-17 and 1.0.0 dated 2026-06-12

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Package armadillo4r updated to version 1.0.0 with previous version 0.9.0 dated 2026-05-20

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is derived from Vargas Sepulveda and Schneider Malamud (2024) <doi:10.1016/j.softx.2025.102087>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between armadillo4r versions 0.9.0 dated 2026-05-20 and 1.0.0 dated 2026-06-12

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Package admiral updated to version 1.5.0 with previous version 1.4.2 dated 2026-05-28

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Author: Edoardo Mancini [aut, cre] , Stefan Bundfuss [aut] , Arianna Cascone [aut] , Kristin Dahnert [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut] , Liam Hobby [aut], Gordon Miller [aut], Lina Patil [aut], Ben Straub [aut], F. Hoff [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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More information about admiral at CRAN
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Package bayesefa readmission to version 0.0.0.6 with previous version 0.0.0.4 dated 2021-02-10

Title: Bayesian Exploratory Factor Analysis
Description: Exploratory Bayesian factor analysis of continuous, mixed-type, and bounded continuous variables using the mode-jumping algorithm of Man and Culpepper (2020) <doi:10.1080/01621459.2020.1773833>.
Author: Albert Man [aut], Steven Andrew Culpepper [aut, cre]
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>

This is a re-admission after prior archival of version 0.0.0.4 dated 2021-02-10

Diff between bayesefa versions 0.0.0.4 dated 2021-02-10 and 0.0.0.6 dated 2026-06-12

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More information about bayesefa at CRAN
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Package ebrahim.gof updated to version 2.0.0 with previous version 1.0.0 dated 2025-09-01

Title: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression
Description: Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent grouping. The test is based on Farrington (1996) theoretical framework but simplified for practical implementation with binary data. Includes functions for both the original Farrington test (for grouped data) and the new Ebrahim-Farrington test (for binary data with automatic grouping), the Directed Ebrahim-Farrington (DEF) test that targets calibration-shape departures, and an ensemble that combines the DEF bases via the Cauchy combination test. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

Diff between ebrahim.gof versions 1.0.0 dated 2025-09-01 and 2.0.0 dated 2026-06-12

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More information about ebrahim.gof at CRAN
Permanent link

Package secretbase updated to version 1.3.0 with previous version 1.2.2 dated 2026-05-01

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

Diff between secretbase versions 1.2.2 dated 2026-05-01 and 1.3.0 dated 2026-06-12

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More information about secretbase at CRAN
Permanent link

Package srlars updated to version 3.0.0 with previous version 2.0.1 dated 2026-03-30

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

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Package RaceID readmission to version 0.4.1 with previous version 0.4.0 dated 2026-02-23

Title: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) <DOI:10.1038/nmeth.4662>). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) <DOI:10.1186/s13059-023-02974-1>).
Author: Dominic Gruen [aut, cre]
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2026-02-23

Diff between RaceID versions 0.4.0 dated 2026-02-23 and 0.4.1 dated 2026-06-12

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Package paisaje updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-07

Title: Spatial and Environmental Data Tools for Landscape Ecology
Description: Provides functions for landscape analysis and data retrieval. The package allows users to download environmental variables from global datasets (e.g., WorldClim, CHELSA, ESA WorldCover, Nighttime Lights), and to compute spatial and landscape metrics using a hexagonal grid system based on the H3 spatial index. It is useful for ecological modeling, biodiversity studies, and spatial data processing in landscape ecology. Fick and Hijmans (2017) <doi:10.1002/joc.5086>. Zanaga et al. (2022) <doi:10.5281/zenodo.7254221>. Uber Technologies Inc. (2022) "H3: Hexagonal hierarchical spatial index". Román et al. (2018) <doi:10.1016/j.rse.2018.03.017>. Karger et al. (2017) <doi:10.1038/sdata.2017.122>. Brun et al. (2022) <doi:10.5194/essd-14-5573-2022>.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package graphonmix updated to version 0.1.1 with previous version 0.0.1.0 dated 2025-10-09

Title: Generates Dense and Sparse Graphs using Graphon Extensions
Description: Generates dense or sparse graphs using graphon mixtures and graphettes. Graphon mixtures uses two graphons U and W to generate graphs. Sparse graphs are generated in this case using the inverse line graph (root) operation. Graphettes have 3 components, the graphon W, a real-valued sequence and a graph edit function. Both techniques can generate dense or sparse graphs. Kandanaarachchi and Ong (2026) <doi:10.48550/arXiv.2505.13864>, Wijesinghe et al (2026) <doi:10.48550/arXiv.2602.23566>.
Author: Sevvandi Kandanaarachchi [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package glmx updated to version 0.2-2 with previous version 0.2-1 dated 2024-09-03

Title: Generalized Linear Models Extended
Description: Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.
Author: Achim Zeileis [aut, cre] , Roger Koenker [aut] , Philipp Doebler [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package forestly updated to version 0.1.5 with previous version 0.1.4 dated 2026-02-18

Title: Interactive Forest Plot
Description: Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.
Author: Yilong Zhang [aut], Benjamin Wang [aut], Yujie Zhao [aut, cre], Nan Xiao [ctb], Hiroaki Fukuda [aut], Yulia Sidi [ctb], Xuan Deng [ctb], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Madhusudhan Ginnaram [ctb], Merck & Co., Inc., Rahway, NJ, [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package dataSDA updated to version 0.2.6 with previous version 0.2.5 dated 2026-03-14

Title: Datasets and Basic Statistics for Symbolic Data Analysis
Description: Provides benchmark datasets and foundational tools for Symbolic Data Analysis (SDA). The package includes functions for constructing symbolic data objects from classical data, converting among different interval-valued data formats, managing interval-valued, histogram-valued, modal-valued, and multi-valued data, and performing basic descriptive statistics. It is designed to support teaching, methodological research, and the development of SDA techniques.
Author: Po-Wei Chen [aut], Chun-houh Chen [aut], Han-Ming Wu [cre]
Maintainer: Han-Ming Wu <wuhm@g.nccu.edu.tw>

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Package tidyusmacro updated to version 0.2.0 with previous version 0.1.0 dated 2025-09-30

Title: Downloading and Cleaning U.S. Macroeconomic Data
Description: Utilities to retrieve and tidy U.S. macroeconomic data series from public government data providers. Functions streamline access to series from the Federal Reserve Bank of St. Louis Federal Reserve Economic Data (FRED), the Bureau of Labor Statistics flat files, and the Bureau of Economic Analysis National Income and Product Accounts tables, then return consistent, tidy data frames ready for modeling and graphics. The package includes helpers for date alignment, log-linear projections, and common macro diagnostics, along with convenience plot builders for quick publication-quality charts.
Author: Mike Konczal [aut, cre]
Maintainer: Mike Konczal <konczal@gmail.com>

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Package rsynthbio updated to version 4.2.0 with previous version 4.1.0 dated 2026-02-25

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

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Package pkglite updated to version 0.2.6 with previous version 0.2.5 dated 2026-02-24

Title: Compact Package Representations
Description: A tool, grammar, and standard to represent and exchange R package source code as text files. Converts one or more source packages to a text file and restores the package structures from the file.
Author: Nan Xiao [aut] , Yilong Zhang [aut], Keaven Anderson [aut], Amin Shirazi [ctb], Jeff Cheng [ctb], Danfeng Fu [ctb], Benjamin Wang [aut], Dickson Wanjau [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Dickson Wanjau <dickson.wanjau@merck.com>

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Package heritability updated to version 1.5 with previous version 1.4 dated 2023-08-24

Title: Marker-Based Estimation of Heritability Using Individual Plant or Plot Data
Description: Implements marker-based estimation of heritability when observations on genetically identical replicates are available. These can be either observations on individual plants or plot-level data in a field trial. Heritability can then be estimated using a mixed model for the individual plant or plot data. For comparison, also mixed-model based estimation using genotypic means and estimation of repeatability with ANOVA are implemented. For illustration the package contains several datasets for the model species Arabidopsis thaliana.
Author: Willem Kruijer [aut], Ian White [ctb] , Padraic Flood [dtc], Rik Kooke [dtc], Bart-Jan van Rossum [cre, aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package autoMR updated to version 1.2.0 with previous version 1.1.2 dated 2026-05-02

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

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Thu, 11 Jun 2026

Package semmcci updated to version 1.1.6 with previous version 1.1.5 dated 2025-10-19

Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package vectra updated to version 0.7.1 with previous version 0.6.2 dated 2026-05-08

Title: Columnar Query Engine for Larger-than-RAM Data
Description: A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package rstudioapi updated to version 0.19.0 with previous version 0.18.0 dated 2026-01-16

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package RcppThread updated to version 2.4.0 with previous version 2.3.0 dated 2026-01-16

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 2.3.0 dated 2026-01-16 and 2.4.0 dated 2026-06-11

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Package betaNB updated to version 1.0.7 with previous version 1.0.6 dated 2025-10-19

Title: Bootstrap for Regression Effect Sizes
Description: Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package betaMC updated to version 1.3.4 with previous version 1.3.3 dated 2025-10-19

Title: Monte Carlo for Regression Effect Sizes
Description: Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package colleyRstats updated to version 0.1.0 with previous version 0.0.4 dated 2026-05-03

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package betaSandwich updated to version 1.0.9 with previous version 1.0.8 dated 2025-10-19

Title: Robust Confidence Intervals for Standardized Regression Coefficients
Description: Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package betaDelta updated to version 1.0.7 with previous version 1.0.6 dated 2025-10-19

Title: Confidence Intervals for Standardized Regression Coefficients
Description: Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package surveysd updated to version 2.0.3 with previous version 2.0.2 dated 2026-04-27

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] , Eileen Vattheuer [aut], Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

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Package MacroFilters updated to version 0.2.1 with previous version 0.1.0 dated 2026-05-27

Title: Robust Trend-Cycle Decomposition for Macroeconomic Time Series
Description: Provides high-performance tools for macroeconomic trend extraction and filtering, specifically designed to solve the end-point problem in real-time. Implements the MacroBoost Hybrid (MBH) filter using penalized P-splines and gradient boosting. Unlike the standard Hodrick-Prescott filter, 'MacroFilters' utilizes component-wise L2-boosting with robust loss functions (Huber) to handle extreme transient shocks (e.g., COVID-19) without inducing spurious trend shifts. The algorithm includes an automated two-layer diagnostic stage for unit roots and structural breaks, optimized via corrected AICc for computational efficiency. Methodology detailed in Kinel (2026) <doi:10.2139/ssrn.6371138>.
Author: Michal Kinel [aut, cre]
Maintainer: Michal Kinel <michal.kinel@gmail.com>

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Package demofit updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-28

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>, Li and Lee (2005) <doi: 10.1353/dem.2005.0021>.
Author: Jackie Li [aut, cre, cph]
Maintainer: Jackie Li <jackieli@smu.edu.sg>

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Package compindexR updated to version 0.1.4 with previous version 0.1.3 dated 2023-11-25

Title: Calculates Composite Index
Description: It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.
Author: Olgun Aydin [cre] , Marta Kuc-Czarnecka [aut] , Michal Pietrzak [aut]
Maintainer: Olgun Aydin <olgun.aydin@pg.edu.pl>

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Package tidyhydat updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-03

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources and then applies tidy data principles.
Author: Sam Albers [aut, cre, cph] , Province of British Columbia [cph] , Tula Foundation [cph] , David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Government of Canada [dtc], Luke Winslow [rev] , Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>

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Package flexFitR updated to version 1.2.3 with previous version 1.2.2 dated 2026-01-27

Title: Flexible Non-Linear Least Square Model Fitting
Description: Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).
Author: Johan Aparicio [cre, aut], Jeffrey Endelman [aut], University of Wisconsin Madison [cph]
Maintainer: Johan Aparicio <aparicioarce@wisc.edu>

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Package Rapp updated to version 0.4.0 with previous version 0.3.0 dated 2025-12-14

Title: Easily Build Command Line Applications
Description: Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package ggRandomForests updated to version 3.1.0 with previous version 2.7.3 dated 2026-05-12

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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Package getRad updated to version 0.3.0 with previous version 0.2.4 dated 2025-12-10

Title: Download Radar Data for Biological Research
Description: Load polar volume and vertical profile data for aeroecological research directly into R. With 'getRad' you can access data from several sources in Europe and the US and standardize it to facilitate further exploration in tools such as 'bioRad'.
Author: Bart Kranstauber [aut, cre] , Pieter Huybrechts [aut] ), Peter Desmet [aut] ), Cecilia Nilsson [ctb] , Alexander Tedeschi [ctb] , Hidde Leijnse [ctb] , Bart Hoekstra [ctb] , University of Amsterdam [cph] , Biodiversa+ [fnd]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between getRad versions 0.2.4 dated 2025-12-10 and 0.3.0 dated 2026-06-11

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Package fixes updated to version 0.11.2 with previous version 0.8.1 dated 2026-05-10

Title: Staggered DiD Tools: Event Studies and ATT Aggregation
Description: Provides tools for difference-in-differences (DiD) estimation and visualization with staggered adoption. Includes run_es() for event-study curves (dynamic effects by relative time) and calc_att() for aggregated ATT estimation (overall, by cohort, by calendar time). Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package wpeR updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-14

Title: Streamlined Analysis of Wild Pedigree Data
Description: Analyzing pedigree data of wild populations. While primarily designed to process outputs from the 'COLONY' (Jones & Wang (2010) <doi:10.1111/j.1755-0998.2009.02787.x>) pedigree reconstruction software, it can also accommodate data from other sources. By linking reconstructed pedigrees with genetic sample metadata, 'wpeR' produces spatial and temporal visualizations as well as tabular summaries that support interpretation of family structures and dynamics. The main goal of the package is to provide a solution for the analysis of complex wild pedigree data and to help the user to gain insights into genetic relationships within wild animal populations.
Author: Tomaz Skrbinsek [aut], Gregor Simcic [aut, cre]
Maintainer: Gregor Simcic <grega0simcic@gmail.com>

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Package rtmpinvi updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Interactive Tabular Matrix Problems via Pseudoinverse Estimation
Description: Provides an interactive wrapper for the 'tmpinv()' function from the 'rtmpinv' package with options extending its functionality to pre- and post-estimation processing and streamlined incorporation of prior cell information. The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

Diff between rtmpinvi versions 1.1.0 dated 2026-06-07 and 2.0.0 dated 2026-06-11

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Package rlppinv updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Linear Programming via Regularized Least Squares
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

Diff between rlppinv versions 1.1.0 dated 2026-06-07 and 2.0.0 dated 2026-06-11

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Package risk.assessr updated to version 4.1.0 with previous version 3.1.1 dated 2026-04-08

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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Package restriktor updated to version 0.6-50 with previous version 0.6-30 dated 2026-02-05

Title: Restricted Statistical Estimation and Inference for Linear Models
Description: Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.
Author: Leonard Vanbrabant [aut, cre], Rebecca Kuiper [aut], Yves Rosseel [ctb], Aleksandra Dacko [ctb]
Maintainer: Leonard Vanbrabant <info@restriktor.org>

Diff between restriktor versions 0.6-30 dated 2026-02-05 and 0.6-50 dated 2026-06-11

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Package prioritizrdata updated to version 0.3.3 with previous version 0.3.2 dated 2023-04-06

Title: Conservation Planning Datasets
Description: Conservation planning datasets for learning how to use the 'prioritizr' package <https://CRAN.R-project.org/package=prioritizr>.
Author: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut], Matthew Strimas-Mackey [aut] , Kristine Camille V Buenafe [aut] , Matthew E Watts [aut], Peter Arcese [aut] , Joseph R Bennett [aut] , Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

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Package discnorm updated to version 0.2.2 with previous version 0.2.1 dated 2022-05-25

Title: Test for Discretized Normality in Ordinal Data
Description: Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>. In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account, as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.
Author: Njal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njal Foldnes <njal.foldnes@gmail.com>

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Package rtmpinv updated to version 2.0.0 with previous version 1.1.0 dated 2026-06-07

Title: Tabular Matrix Problems via Pseudoinverse Estimation
Description: The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package rclsp updated to version 2.0.1 with previous version 2.0.0 dated 2026-06-08

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package palaeoverse updated to version 1.5.0 with previous version 1.4.0 dated 2024-10-14

Title: Prepare and Explore Data for Palaeobiological Analyses
Description: Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart/>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.
Author: Lewis A. Jones [aut, cre] , William Gearty [aut] , Bethany J. Allen [aut] , Kilian Eichenseer [aut] , Christopher D. Dean [aut] , Etienne Bacher [aut] , Joseph T. Flannery-Sutherland [aut] , Sofia Galvan [ctb] , Miranta Kouvari [ctb] , Pedro L. Godoy [...truncated...]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>

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Package mlr3 updated to version 1.7.1 with previous version 1.7.0 dated 2026-06-10

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

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Package wrGraph updated to version 1.3.16 with previous version 1.3.15 dated 2026-04-29

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package fluidsynth updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-04

Title: Read and Play Digital Music (MIDI)
Description: Bindings to 'libfluidsynth' to parse and synthesize MIDI files. It can read MIDI into a data frame, play it on the local audio device, or convert into an audio file.
Author: Jeroen Ooms [aut, cre] , S. Christian Collins [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package bbk updated to version 0.11.0 with previous version 0.10.0 dated 2026-05-16

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco de España' (BdE), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package BAwiR updated to version 1.5.2 with previous version 1.5.1 dated 2026-06-04

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls, offensive rebounds and different types of shooting charts. Please see Vinue [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

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Package spada updated to version 0.1.6 with previous version 0.1.5 dated 2026-04-21

Title: A 'shiny' Package for Data Analysis
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Luis Gustavo Schuck [aut, cre]
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>

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Package mlr3cluster updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-01

Title: Cluster Extension for 'mlr3'
Description: Extends the 'mlr3' package with cluster analysis.
Author: Maximilian Muecke [aut, cre] , Damir Pulatov [aut], Michel Lang [aut] , Marc Becker [ctb]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package equil2 updated to version 1.1.0 with previous version 1.0.0 dated 2022-12-20

Title: Calculate Urinary Saturation with the EQUIL2 Algorithm
Description: Saturation of ionic substances in urine is calculated based on sodium, potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate, oxalate, citrate, ph, and urate. This program is intended for research use, only. The code within is translated from EQUIL2 Visual Basic code based on Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.
Author: Bill Denney [aut, cre, cph] , John Lieske [cph]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package standardlastprofile updated to version 2.0.0 with previous version 1.1.0 dated 2026-03-16

Title: BDEW Standard Load Profiles for Electricity and Gas
Description: Provides representative standard load profiles (SLPs) for electricity and gas published by the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The electricity profiles cover the 1999 profiles — households (H0), commercial (G0–G6), and agriculture (L0–L2) — and the updated 2025 profiles (H25, G25, L25, P25, S25), which additionally represent households with photovoltaic systems and battery storage. An interface generates an electricity load profile over a user-defined date range. A second interface generates daily gas load profiles using the BDEW/VKU/GEODE synthetic 'SigLinDe' procedure from daily temperatures and a customer value ('Kundenwert'). The 1999 data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The electricity generation algorithm is described in VDEW (2000), "Anwendung der Rep [...truncated...]
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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Package SQMtools readmission to version 1.8.0 with previous version 1.7.2 dated 2025-06-14

Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>

This is a re-admission after prior archival of version 1.7.2 dated 2025-06-14

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Package SdeaR updated to version 1.1.0 with previous version 1.0.2 dated 2025-12-12

Title: Stochastic Data Envelopment Analysis
Description: Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

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Package InsuSensCalc updated to version 0.1.0 with previous version 0.0.1 dated 2024-04-04

Title: Insulin Sensitivity Indices Calculator
Description: Facilitates the calculation of 40 different insulin sensitivity indices based on fasting, oral glucose tolerance test (OGTT), lipid (adipose), tracer (palmitate and glycerol rate), and DXA (fat mass) measurement values. Enables easy and accurate assessment of insulin sensitivity, critical for understanding and managing metabolic disorders like diabetes and obesity. Indices calculated are described in Gastaldelli (2022) <doi:10.1002/oby.23503>, Suleman (2024) <doi:10.1210/clinem/dgae275>, and Lorenzo (2010) <doi:10.1210/jc.2010-1144>.
Author: Sufyan Suleman [aut, cre]
Maintainer: Sufyan Suleman <sufyansuleman@hotmail.com>

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Package W3CMarkupValidator updated to version 0.2-4 with previous version 0.2-3 dated 2026-04-13

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

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Package INLAvaan updated to version 0.2.5 with previous version 0.2.4 dated 2026-04-02

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

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Package BMisc updated to version 1.4.9 with previous version 1.4.8 dated 2025-02-04

Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas. Additional utilities support staggered treatment adoption [...truncated...]
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between BMisc versions 1.4.8 dated 2025-02-04 and 1.4.9 dated 2026-06-11

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Package FactoMineR updated to version 2.15 with previous version 2.14 dated 2026-04-08

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson [aut, cre] , Julie Josse [aut], Sebastien Le [aut], Jeremy Mazet [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package tgml updated to version 0.5.0 with previous version 0.4.0 dated 2026-01-22

Title: Tree Guided Machine Learning for Personalized Predictions and Precision Diagnostics
Description: Generalization of the classification and regression tree (CART) model that partitions subjects into terminal nodes and tailors machine learning model to each terminal node.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

Diff between tgml versions 0.4.0 dated 2026-01-22 and 0.5.0 dated 2026-06-11

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Package plmmr updated to version 4.3.0 with previous version 4.2.3 dated 2026-01-26

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Yujing Lu [aut], Oscar A. Rysavy [aut] , Patrick J. Breheny [aut, cre]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

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Package Andromeda updated to version 1.2.1 with previous version 1.2.0 dated 2025-10-29

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut], Egill Fridgeirsson [aut], Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package Uno updated to version 2.7.3-1 with previous version 2.7.3 dated 2026-06-08

Title: R Interface to the 'Uno' Nonlinear Optimization Solver
Description: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2024) <doi:10.48550/arXiv.2406.13454>.
Author: Balasubramanian Narasimhan [aut, cre], Charlie Vanaret [aut, cph] , Sven Leyffer [aut, cph] , HiGHS development team [cph] ; see inst/COPYRIGHTS)
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package SuperSurv readmission to version 0.1.7 with previous version 0.1.2 dated 2026-05-04

Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling et al. (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/2026.03.11.711010>.
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-05-04

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Package nascaR.data updated to version 3.1.0 with previous version 3.0.1 dated 2026-02-16

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NXS, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and is updated weekly during the racing season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kyle@kylegrealis.com>

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Package lang updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-05

Title: Translates R Help Documentation using Large Language Models
Description: Translates R help documentation on the fly by using a Large Language model of your choice. If you are using 'RStudio' or 'Positron' the translated help will appear in the help pane.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

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Package ibkrcp updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-07

Title: R Client for the Interactive Brokers Client Portal API
Description: Provides a lightweight R interface to the Interactive Brokers (IBKR) Client Portal REST API. Functions cover session management, account and portfolio queries, market data retrieval, and order placement and cancellation. Requires a locally running IBKR Client Portal Gateway.
Author: Nagappan Karuppiah [aut, cre]
Maintainer: Nagappan Karuppiah <ibkrcp@gmail.com>

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 man/ibkr_ping.Rd                                                               |    2 
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Package symengine updated to version 0.2.13 with previous version 0.2.11 dated 2026-03-04

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

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Package restfulr updated to version 0.0.17 with previous version 0.0.16 dated 2025-06-27

Title: R Interface to RESTful Web Services
Description: Models a RESTful service as if it were a nested R list.
Author: Michael Lawrence [aut, cre]
Maintainer: Michael Lawrence <lawremi@gmail.com>

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Package nlmixr2plot updated to version 5.0.2 with previous version 5.0.1 dated 2026-02-28

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package distributional updated to version 0.7.1 with previous version 0.7.0 dated 2026-03-17

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Wed, 10 Jun 2026

Package dream updated to version 2.1.3 with previous version 2.1.2 dated 2026-06-03

Title: Dynamic Relational Event Analysis and Modeling
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Maintainer: Kevin A. Carson <kacarson@arizona.edu>

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Package OPI updated to version 3.1.1 with previous version 3.1.0 dated 2026-03-03

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

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Package LBI updated to version 0.2.5 with previous version 0.2.4 dated 2026-05-22

Title: Likelihood Based Inference
Description: Maximum likelihood estimation and likelihood ratio test are essential for modern statistics. This package supports in calculating likelihood based inference. Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).
Author: Kyun-Seop Bae [aut, cre, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package jrt updated to version 1.2.0 with previous version 1.1.3 dated 2025-07-31

Title: Item Response Theory Modeling and Scoring for Judgment Data
Description: Psychometric analysis and scoring of judgment data using polytomous Item-Response Theory (IRT) models, as described in Myszkowski and Storme (2019) <doi:10.1037/aca0000225> and Myszkowski (2021) <doi:10.1037/aca0000287>. A function is used to automatically compare and select models, as well as to present a variety of model-based statistics. Plotting functions are used to present category curves, as well as information, reliability and standard error functions.
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nilsmyszkowskiscience@gmail.com>

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Package fitPS updated to version 1.0.6 with previous version 1.0.1 dated 2024-03-19

Title: Fit Zeta Distributions to Forensic Data
Description: Fits Zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package DFA.CANCOR updated to version 0.4.3 with previous version 0.3.9 dated 2025-09-08

Title: Linear Discriminant Function and Canonical Correlation Analysis
Description: Produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package shrinkem updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-05

Title: Approximate Bayesian Regularization for Parsimonious Estimates
Description: Approximate Bayesian regularization using Gaussian approximations. The input is a vector of estimates and a Gaussian error covariance matrix of the key parameters. Bayesian shrinkage is then applied to obtain parsimonious solutions. The method is described on Karimova, van Erp, Leenders, and Mulder (2025) <DOI:10.1016/j.jmp.2025.102925>. Gibbs samplers are used for model fitting. The shrinkage priors that are supported are Gaussian (ridge) priors, Laplace (lasso) priors (Park and Casella, 2008 <DOI:10.1198/016214508000000337>), and horseshoe priors (Carvalho, et al., 2010; <DOI:10.1093/biomet/asq017>). These priors include an option for grouped regularization of different subsets of parameters (Meier et al., 2008; <DOI:10.1111/j.1467-9868.2007.00627.x>). F priors are used for the penalty parameters lambda^2 (Mulder and Pericchi, 2018 <DOI:10.1214/17-BA1092>). This correspond to half-Cauchy priors on lambda (Carvalho, Polson, Scott, 2010 <DOI:10.1093/bio [...truncated...]
Author: Joris Mulder [aut, cre], Diana Karimova [aut, ctb], Sara van Erp [ctb], Roger Leenders [ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package tbm updated to version 0.3-11 with previous version 0.3-10 dated 2025-12-02

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models as introduced in <DOI:10.1007/s11222-019-09870-4>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package mx.api updated to version 0.3.0 with previous version 0.2.0 dated 2026-05-13

Title: Minimal Matrix Client-Server API
Description: A minimal-dependency client for the 'Matrix' Client-Server HTTP API <https://spec.matrix.org/>, suitable for talking to a 'Synapse' <https://element-hq.github.io/synapse/> or 'Conduit' <https://conduit.rs/> homeserver. Covers login, room management, message send and history, media upload or download, and the transport endpoints needed to coordinate end-to-end encryption (device-key and one-time-key publication, key query and claim, to-device events). Encryption itself is out of scope; pair with a separate crypto package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package joinpointR updated to version 1.0.0 with previous version 0.6.2 dated 2026-05-28

Title: Tidy Tools for Joinpoint Regression Models
Description: Provides tools to fit joinpoint regression models with a log-linear specification by levels of a categorical variable. The package acts as a wrapper around the 'segmented' package, facilitating model fitting, selection, and interpretation. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.
Author: Tamara Ricardo [aut, cre]
Maintainer: Tamara Ricardo <tamararicardo83@gmail.com>

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Package wizaRdry updated to version 0.6.16 with previous version 0.6.8 dated 2026-05-12

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

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Package vennDiagramLab updated to version 2.4.2 with previous version 2.0.5 dated 2026-05-18

Title: Headless Venn Diagram Analysis and Rendering
Description: Headless companion to the 'Venn Diagram Lab' web tool (<https://www.venndiagramlab.org/>). Build, render, and statistically analyze Venn / 'UpSet' diagrams from 'CSV' / 'TSV' / 'GMT' / 'GMX' inputs. Provides the same 44 SVG models, intersection / 'Jaccard' / hypergeometric statistics, and PDF report layout as the web tool, with byte-equivalent 'TSV' exports (parity-tested against the published Python package). Integrates with 'ggplot2', 'tidygraph', and 'broom'.
Author: Zoltan Dul [aut, cre] , Marton Oelbei [aut] , N. Shaun B. Thomas [aut], Azeddine Si Ammour [aut] , Attila Csikasz-Nagy [aut]
Maintainer: Zoltan Dul <zoltan.dul@gmail.com>

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Package nuggets updated to version 2.2.1 with previous version 2.2.0 dated 2026-03-11

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package scaledescr updated to version 0.2.7 with previous version 0.2.6 dated 2026-04-25

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 packages such as 'psych', 'stats', 'gtsummary', and 'lavaan' 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 opticskxi updated to version 1.2.2 with previous version 1.2.1 dated 2025-03-09

Title: OPTICS K-Xi Density-Based Clustering
Description: Density-based clustering methods are well adapted to the clustering of high-dimensional data and enable the discovery of core groups of various shapes despite large amounts of noise. This package provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters. The vignette first introduces density-based algorithms with simulated datasets, then presents and evaluates the k-Xi cluster extraction method. Finally, the models comparison framework is described and experimented on 2 genetic datasets to identify groups and their discriminating features. The k-Xi algorithm is a novel OPTICS cluster extraction method that specifies directly the number of clusters and does not require fine-tuning of the steepness parameter as the OPTICS Xi method. Combined with a framework that compares models with varying parameters, the OPTICS k-Xi method can identify groups in nois [...truncated...]
Author: Thomas Charlon [aut, cre]
Maintainer: Thomas Charlon <charlon@protonmail.com>

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Package CohortSymmetry updated to version 0.3.0 with previous version 0.2.4 dated 2025-03-24

Title: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description: Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Danielle Newby [aut, cre] , Xihang Chen [aut] , Tyman Stanford [aut] , Berta Raventos [aut] , Nicole Pratt [aut] , Ed Burn [aut] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez [aut] , Marta Alcalde-He [...truncated...]
Maintainer: Danielle Newby <danielle.newby@ndorms.ox.ac.uk>

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Package zip updated to version 3.0.0 with previous version 2.3.3 dated 2025-05-13

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi [aut, cre], Kuba Podgorski [ctb], Rich Geldreich [ctb], Arm Limited [ctb, cph] ), Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package TreeDist updated to version 2.14.1 with previous version 2.14.0 dated 2026-05-09

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; the Hierarchical Mutual Information (Perotti et al. 2015) <doi:10.1103/PhysRevE.92.062825>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands o [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph] , Yong Yang [ctb, cph] , Yi Cao [ctb, cph] , Neil Kaye [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package rhino updated to version 1.12.0 with previous version 1.11.0 dated 2025-04-02

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Jakub Nowicki [aut, cre], Kamil Zyla [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Rodrigo Basa [aut], Eduardo Almeida [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Jakub Nowicki <opensource+kuba@appsilon.com>

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Package NeutroRCDsAnalysis updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-08

Title: Neutrosophic Analysis of Row Column Designs
Description: Description: Provides methods for Neutrosophic Analysis of Variance (NANOVA) and Neutrosophic Analysis of Covariance (NANCOVA) for row-column designs, including Latin square designs and Youden square designs, using interval-valued observations. The package computes neutrosophic sums of squares, mean squares, interval-valued F-statistics, significance tests, and multiple comparisons using Least Significant Difference (LSD) procedures. For crisp data, users may enter identical lower and upper values of responses to obtain classical Analysis of Variance (ANOVA) results. Similarly, users may enter identical lower and upper values for both responses and covariates to obtain classical Analysis of Covariance (ANCOVA) results.
Author: Neethu R.S. [aut, ctb], Boyina Devi Priyanka [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>

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Package metamorphr updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-09

Title: Tidy and Streamlined Metabolomics Data Workflows
Description: Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c>, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and [...truncated...]
Author: Yannik Schermer [aut, cre, cph]
Maintainer: Yannik Schermer <yannik.schermer@chem.rptu.de>

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Package LFM readmission to version 0.3.4 with previous version 0.3.3 dated 2025-12-06

Title: Laplace Factor Model Analysis and Evaluation
Description: Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

This is a re-admission after prior archival of version 0.3.3 dated 2025-12-06

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Package gmwmx2 updated to version 0.0.5 with previous version 0.0.4 dated 2026-01-07

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

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Package test.assessr updated to version 2.1.2 with previous version 2.1.0 dated 2026-04-30

Title: Assessing Package Test Reliability and Quality
Description: A reliable and validated tool that calculates unit test coverage for R packages with standard testing frameworks and non-standard testing frameworks.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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Package scpi updated to version 4.0.1 with previous version 4.0.0 dated 2026-06-03

Title: Synthetic Control Methods
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <doi:10.1080/01621459.2021.1979561> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2027) <doi:10.1162/rest_a_01588> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.18637/jss.v113.i01>.
Author: Matias D. Cattaneo [aut, cre], Yingjie Feng [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package admiraldev updated to version 1.5.0 with previous version 1.4.1 dated 2026-05-27

Title: Utility Functions and Development Tools for the Admiral Package Family
Description: Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
Author: Edoardo Mancini [aut, cre] , Stefan Bundfuss [aut] , Arianna Cascone [aut] , Kristin Dahnert [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut] , Liam Hobby [aut], Gordon Miller [aut], Lina Patil [aut], Ben Straub [aut], F. Hoff [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package rYWAASB updated to version 0.4 with previous version 0.3 dated 2025-05-23

Title: Simultaneous Selection by Trait and WAASB Index
Description: This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a c [...truncated...]
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>

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Package rtdists updated to version 0.11-6 with previous version 0.11-5 dated 2022-01-07

Title: Response Time Distributions
Description: Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model (Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C code by Andreas and Jochen Voss and (b) linear ballistic accumulator (LBA; Brown & Heathcote, 2008, <doi:10.1016/j.cogpsych.2007.12.002>) with different distributions underlying the drift rate.
Author: Henrik Singmann [aut, cre] , Scott Brown [aut], Matthew Gretton [aut], Andrew Heathcote [aut], Andreas Voss [ctb], Jochen Voss [ctb], Andrew Terry [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

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Package outstandR updated to version 2.0.0 with previous version 1.0.0 dated 2026-01-21

Title: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data
Description: For the problem of indirect treatment comparison with limited subject-level data, this package provides tools for model-based standardisation with several different computation approaches. See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data'', Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.
Author: Nathan Green [aut, cre, cph] , Chengyang Gao [aut], Antonio Remiro-Azocar [aut]
Maintainer: Nathan Green <n.green@ucl.ac.uk>

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Package factorana updated to version 1.7.1 with previous version 1.3.4 dated 2026-05-12

Title: Factor Model Estimation with Latent Variables
Description: A flexible framework for estimating factor models with multiple latent variables. Supports linear, probit, ordered probit, and multinomial logit model components. Features include multi-stage estimation, automatic parameter initialization, analytical gradients and Hessians, and parallel estimation. Methods are described in Heckman, Humphries, and Veramendi (2016) <doi:10.1016/j.jeconom.2015.12.001>, Heckman, Humphries, and Veramendi (2018) <doi:10.1086/698760>, and Humphries, Joensen, and Veramendi (2024) <doi:10.1257/pandp.20241026>.
Author: Greg Veramendi [aut, cre], Jess Xiong [aut]
Maintainer: Greg Veramendi <greg.veramendi@gmail.com>

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Package NeutroCODsAnalysis updated to version 0.1.0 with previous version 0.0.1 dated 2026-06-09

Title: Neutrosophic Analysis Crossover Designs
Description: Provides methods for Neutrosophic Analysis of Variance (NANOVA) for crossover designs and multi-session designs with direct and residual effects using interval-valued observations. The package computes neutrosophic sums of squares, mean squares, interval-valued F-statistics, significance tests, and multiple comparisons using Least Significant Difference (LSD) procedures. For crisp data, users may enter identical lower and upper response values to obtain classical Analysis of Variance (ANOVA) results. The basic idea of neutrosophic statistics is obtained from Smarandache (2014) <https://fs.unm.edu/NeutrosophicStatistics.pdf>, while the analysis procedures implemented in this package are newly developed.
Author: Boyina Devi Priyanka [aut, ctb], Neethu R.S [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>

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Package goldilocks updated to version 0.5.0 with previous version 0.4.0 dated 2025-01-08

Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package AIUQ updated to version 0.5.5 with previous version 0.5.4 dated 2026-05-25

Title: Ab Initio Uncertainty Quantification
Description: Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>, and Tong Lin, Jinseok Lee, Matt Helgeson, Megan T Valentine, Yimin Luo, Mengyang Gu (2026), <doi:10.48550/arXiv.2605.29424>.
Author: Yue He [aut], Xubo Liu [aut], Tong Lin [aut], Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package spmodel updated to version 0.13.0 with previous version 0.12.0 dated 2026-01-24

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

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Package r2rtf updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-09

Title: Easily Create Production-Ready Rich Text Format (RTF) Tables and Figures
Description: Create production-ready Rich Text Format (RTF) tables and figures with flexible format.
Author: Yilong Zhang [aut], Siruo Wang [aut], Simiao Ye [aut], Fansen Kong [aut], Brian Lang [aut], Benjamin Wang [aut], Nan Xiao [ctb], Madhusudhan Ginnaram [ctb], Ruchitbhai Patel [aut, cre], Huei-Ling Chen [ctb], Peikun Wu [ctb], Uday Preetham Palukuru [c [...truncated...]
Maintainer: Ruchitbhai Patel <ruchitbhai.patel@merck.com>

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Package plotthis updated to version 0.12.1 with previous version 0.12.0 dated 2026-04-28

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package netmeta updated to version 3.6-0 with previous version 3.5-0 dated 2026-05-28

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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Package mlr3misc updated to version 0.22.0 with previous version 0.21.0 dated 2026-02-26

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mlr3 updated to version 1.7.0 with previous version 1.6.0 dated 2026-04-02

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

Diff between mlr3 versions 1.6.0 dated 2026-04-02 and 1.7.0 dated 2026-06-10

 DESCRIPTION                                |   14 
 MD5                                        |  357 ++++-----
 NEWS.md                                    |   24 
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Package epsiwal updated to version 0.2.0 with previous version 0.1.0 dated 2019-07-02

Title: Exact Post Selection Inference with Applications to the Lasso
Description: Implements the conditional estimation procedure of Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>. This procedure allows hypothesis testing on the mean of a normal random vector subject to linear constraints. Also supports computation of the MLE of the mean subject to the same constraints.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between epsiwal versions 0.1.0 dated 2019-07-02 and 0.2.0 dated 2026-06-10

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Package DRDID updated to version 1.3.0 with previous version 1.2.3 dated 2025-12-04

Title: Doubly Robust Difference-in-Differences Estimators
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
Author: Pedro H. C. Sant'Anna [aut, cre, cph], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedrohcgs@gmail.com>

Diff between DRDID versions 1.2.3 dated 2025-12-04 and 1.3.0 dated 2026-06-10

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More information about DRDID at CRAN
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Package autoFC updated to version 1.0.0.1001 with previous version 1.0.0.1000 dated 2026-05-27

Title: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, also called as item pairing, is thus critical to the quality of an FC test. Becau [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <mt_li@fudan.edu.cn>

Diff between autoFC versions 1.0.0.1000 dated 2026-05-27 and 1.0.0.1001 dated 2026-06-10

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Tue, 09 Jun 2026

Package betaselectr updated to version 0.2.1 with previous version 0.1.4 dated 2026-04-07

Title: Betas-Select in Structural Equation Models and Linear Models
Description: It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>. An introduction to the package can be found in Sun et al. (2026) <doi:10.1080/00273171.2026.2672692>.
Author: Shu Fai Cheung [aut, cre] , Rong Wei Sun [aut] , Florbela Chang [aut] , Wendie Yang [aut] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package soilassessment updated to version 1.3.1 with previous version 1.3.0 dated 2026-04-22

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

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Package twinsvm updated to version 0.0.2 with previous version 0.0.1 dated 2026-06-08

Title: Twin Support Vector Machines
Description: Provides twin support vector machine classifiers and visualization tools for small to moderate classification problems. Includes one-vs-one multi-class classification and a standard support vector machine baseline for comparison.
Author: Shamika Tissera [aut, cre]
Maintainer: Shamika Tissera <nimeshshamika@gmail.com>

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Package reproducer updated to version 0.6.0 with previous version 0.5.3 dated 2023-10-18

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: Includes data analysis and meta-analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram),and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi- site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb] , Barbara Kitchenham [aut, ctb] , Tomasz Lewowski [aut, ctb] , Marian Jureczko [ctb] , David Budgen [ctb] , Pearl Brereton [ctb] , Jacky Keung [ctb] , Stuart Charters [ctb] , Shirley Gibbs [ctb] , Amnart Pohthong [ctb] , [...truncated...]
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

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Package manydist updated to version 0.5.0 with previous version 0.4.9 dated 2026-02-04

Title: Distance-Based Learning for Mixed-Type Data
Description: Provides tools for constructing, computing, and using distance measures for numerical, categorical, and mixed-type data. The package implements a flexible framework in which continuous and categorical components can be combined under additive, commensurable, and association-aware specifications. Supported methods include classical distances such as Gower, Euclidean, Manhattan, and Mahalanobis-type distances; categorical dissimilarities such as simple matching, occurrence-frequency, and association-based measures; and mixed-type presets designed to reduce biases due to variable type, scale, distribution, redundancy, and number of categories. The package also provides scaling options, supervised and unsupervised distance constructions, leave-one-variable-out tools for distance-based variable importance, and integration with distance-based learning workflows such as nearest-neighbour prediction, partitioning around medoids, and spectral clustering. Methods are motivated by van de Velden, [...truncated...]
Author: Alfonso Iodice D'Enza [aut, cre], Angelos Markos [aut], Michel van de Velden [aut], Carlo Cavicchia [aut]
Maintainer: Alfonso Iodice D'Enza <iodicede@unina.it>

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Package confMeta updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-20

Title: Confidence Curves and P-Value Functions for Meta-Analysis
Description: Provides tools for the combination of individual study results in meta-analyses using 'p-value' functions. Implements various combination methods including those by Fisher, Stouffer, Tippett, Edgington along with weighted generalizations. Contains functionality for the visualization and calculation of confidence curves and drapery plots to summarize evidence across studies.
Author: Saverio Fontana [aut, cre] , Felix Hofmann [aut] , Leonhard Held [aut] , Samuel Pawel [aut]
Maintainer: Saverio Fontana <savefontana@gmail.com>

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Package vol2birdR updated to version 1.3.0 with previous version 1.2.0 dated 2025-09-02

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

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Package tikatuwq updated to version 0.9.0 with previous version 0.8.2 dated 2026-01-16

Title: Water Quality Assessment and Environmental Compliance in Brazil
Description: Tools to import, clean, validate, and analyze freshwater quality data in Brazil. Implements water quality indices including the Water Quality Index ('WQI'/'IQA') using the weighted geometric mean following 'CETESB' methodology, the Trophic State Index ('TSI'/'IET') after Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> and Lamparelli (2004) <https://teses.usp.br/teses/disponiveis/41/41134/tde-20032006-075813/publico/TeseLamparelli2004.pdf>, and the National Sanitation Foundation Water Quality Index ('NSF WQI', Brown (1970)). The package also checks compliance with Brazilian standard 'CONAMA' Resolution 357/2005 <https://conama.mma.gov.br/?id=450&option=com_sisconama&task=arquivo.download> including the legal frequency rule (Art. 15, 80% conformity over six or more samples per year), and provides seasonal analysis with regional flow-season calendars, pollutant load computation, exceedance probability estimation, 'IET' visualization, and multivariate 'PCA' tools f [...truncated...]
Author: Vinicius Saraiva Santos [aut, cre]
Maintainer: Vinicius Saraiva Santos <vinisaraiva@gmail.com>

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Package savvyPR updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-07

Title: Savvy Parity Regression Model Estimation with 'savvyPR'
Description: Implements the Savvy Parity Regression 'savvyPR' methodology for multivariate linear regression analysis. The package solves an optimization problem that balances the contribution of each predictor variable to ensure estimation stability in the presence of multicollinearity. It supports two distinct parameterization methods, a Budget-based approach that allocates a fixed loss contribution to each predictor, and a Target-based approach (t-tuning) that utilizes a relative elasticity weight for the response variable. The package provides comprehensive tools for model estimation, risk distribution analysis, and parameter tuning via cross-validation (PR1, PR2, and PR3 model types) to optimize predictive accuracy. Methods are based on Asimit, Chen, Ichim and Millossovich (2026) <https://openaccess.city.ac.uk/id/eprint/37017/>.
Author: Ziwei Chen [aut, cre] , Vali Asimit [aut] , Pietro Millossovich [aut]
Maintainer: Ziwei Chen <Ziwei.Chen.3@citystgeorges.ac.uk>

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Package wjake updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-20

Title: Personal Themes and Formatting Preferences
Description: A collection of utility functions, themes, and templates to support personal data analysis workflows. Includes functions for formatting numeric values as text, custom themes and color scales for 'ggplot2', and automatic formatting for tables created with 'gt'.
Author: W. Jake Thompson [aut, cre, cph]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

Diff between wjake versions 1.0.0 dated 2026-05-20 and 1.0.1 dated 2026-06-09

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Package serpstatr updated to version 0.4.2 with previous version 0.4.1 dated 2026-05-25

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://api-docs.serpstat.com/docs/serpstat-public-api/jenasqbwtxdlr-introduction-to-serpstat-api> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

Diff between serpstatr versions 0.4.1 dated 2026-05-25 and 0.4.2 dated 2026-06-09

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Package dbscan updated to version 1.2.5 with previous version 1.2.4 dated 2025-12-19

Title: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family. Includes the clustering algorithms DBSCAN (density-based spatial clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering points to identify the clustering structure), shared nearest neighbor clustering, and the outlier detection algorithms LOF (local outlier factor) and GLOSH (global-local outlier score from hierarchies). The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided. Hahsler, Piekenbrock and Doran (2019) <doi:10.18637/jss.v091.i01>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph], Claudia Malzer [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package CKNNRLD updated to version 0.1.4 with previous version 0.1.2 dated 2026-05-28

Title: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data
Description: Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data) for improving K-Nearest Neighbor ('KNN') regression on longitudinal data through cluster-based partitioning and localized prediction. Offers enhanced computational efficiency and accuracy for high-volume longitudinal datasets. The acronym 'KNN' stands for K-Nearest Neighbor. References: Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025). "Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach." BMC Bioinformatics, 26, 232. <doi:10.1186/s12859-025-06205-1>.
Author: Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei [aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut], Sara Jambarsang [aut, ths]
Maintainer: Mohammad Sadegh Loeloe <mslbiostat@gmail.com>

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Package WMAP updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-05

Title: Weighted Meta-Analysis with Pseudo-Populations
Description: Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
Author: Subharup Guha [aut, cre], Mengqi Xu [aut], Chayce Reed [aut], Kashish Priyam [aut], Yi Li [aut]
Maintainer: Subharup Guha <Subharup.Guha@dartmouth.edu>

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Package REDCapSync readmission to version 0.1.1 with previous version 0.1.0 dated 2026-05-21

Title: Encapsulated 'REDCap' Projects for Synchronized Data Pipelines
Description: Wraps dozens of 'REDCap' API endpoints into a standardized R6 object. Research Electronic Data Capture ('REDCap') is a survey and database web application software maintained by Vanderbilt University. It has a robust application programming interface (API) utilized by several R packages. 'REDCapSync' uses 'redcapAPI' and 'REDCapR' behind-the-scenes to retrieve all metadata, data, and log details for a project. To minimize unnecessary server calls, the interim 'REDCap' log is analyzed and used to only update necessary records. Furthermore, the user can define custom datasets that save to a directory. Those datasets continue to refresh when projects are synced. Having a secure, standardized, API-efficient, project-agnostic R object for 'REDCap' projects, streamlines downstream use in scripts, functions, and shiny applications.
Author: Brandon Rose [cre, aut, cph] , Natalie Goulett [ctb]
Maintainer: Brandon Rose <thecodingdocs@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2026-05-21

Diff between REDCapSync versions 0.1.0 dated 2026-05-21 and 0.1.1 dated 2026-06-09

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Package llmclean updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-22

Title: LLM-Assisted Data Cleaning with Multi-Provider Support
Description: Detects and suggests fixes for semantic inconsistencies in data frames by calling large language models (LLMs) through a unified, provider-agnostic interface. Supported providers include 'OpenAI' ('GPT-4o', 'GPT-4o-mini') <https://platform.openai.com>, 'Anthropic' ('Claude') <https://www.anthropic.com>, 'Google' ('Gemini') <https://ai.google.dev>, 'Groq' (free-tier 'LLaMA' and 'Mixtral') <https://groq.com>, and local 'Ollama' models <https://ollama.com>. The package identifies issues that rule-based tools cannot detect: abbreviation variants, typographic errors, case inconsistencies, and malformed values. Results are returned as tidy data frames with column, row index, detected value, issue type, suggested fix, and confidence score. An offline fallback using statistical and fuzzy-matching methods is provided for use without any application programming interface (API) key. Interactive fix application with human review is supported via 'apply_fixes()'. Metho [...truncated...]
Author: Sadikul Islam [aut, cre] , Rajesh Kaushal [aut]
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>

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Package tesouror updated to version 0.2.3 with previous version 0.2.2 dated 2026-05-06

Title: Access Brazilian National Treasury Open Data APIs
Description: Provides a unified interface to access open data from the Brazilian National Treasury ('Tesouro Nacional') and related government APIs. Covers six data sources: 'SICONFI' <https://apidatalake.tesouro.gov.br/docs/siconfi/> for fiscal reports ('RREO', 'RGF', 'DCA', 'MSC') and entity information; 'CUSTOS' <https://apidatalake.tesouro.gov.br/docs/custos/> for federal government cost data; 'SADIPEM' <https://apidatalake.tesouro.gov.br/docs/sadipem/> for public debt and credit operations; 'Transferencias Constitucionais' <https://apiapex.tesouro.gov.br/aria/v1/transferencias_constitucionais/docs> for constitutional transfers to states and municipalities; 'SIORG' <https://estruturaorganizacional.dados.gov.br> for federal organizational structure; and 'SIOPE' ('FNDE'/'MEC') for education spending data. Features automatic pagination, in-memory caching, retry logic, and tidy output.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], Tiago Pereira [aut], Fernando Barbalho [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package semTests updated to version 0.9.0 with previous version 0.7.1 dated 2025-10-09

Title: Robust Test Statistics for Structural Equation Models
Description: Supports penalized eigenvalue block-averaging and penalized regression p-values (Foldnes, Moss, Grønneberg, 2024) <doi:10.1080/10705511.2024.2372028>, including their extension to nested model comparison (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, as well as traditional p-values such as Satorra-Bentler. All p-values can be calculated using unbiased or biased gamma estimates (Du, Bentler, 2022) <doi:10.1080/10705511.2022.2063870> and two choices of chi square statistics. The tests apply to any minimum-discrepancy estimator -- ML, GLS, ULS, and categorical WLSMV/DWLS -- with experimental support for full-information maximum-likelihood (FIML) fits under missing data.
Author: Jonas Moss [aut, cre] , Njal Foldnes [ctb] , Steffen Groenneberg [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics@gmail.com>

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Package qtl2convert updated to version 0.34 with previous version 0.32 dated 2026-04-30

Title: Convert Data among QTL Mapping Packages
Description: Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2convert versions 0.32 dated 2026-04-30 and 0.34 dated 2026-06-09

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Package openssl updated to version 2.4.2 with previous version 2.4.1 dated 2026-05-14

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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More information about openssl at CRAN
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Package mlr3learners updated to version 0.15.0 with previous version 0.14.0 dated 2025-12-13

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut] , Alexander Winterstetter [ctb], Toby Hocking [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3learners versions 0.14.0 dated 2025-12-13 and 0.15.0 dated 2026-06-09

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More information about mlr3learners at CRAN
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Package deckroadmap updated to version 0.1.5 with previous version 0.1.4 dated 2026-04-21

Title: Roadmap Footers for 'Reveal.js' Slides in 'Quarto' and 'R Markdown'
Description: Adds section-aware roadmap footers to 'Reveal.js' slide decks created with 'Quarto' or 'R Markdown'. The footer highlights completed, current, and upcoming sections as slides advance. Supports multiple visual styles, inherited section tags, roadmap-free slides, and configurable colors, size, and positioning options.
Author: Tiger Tang [aut, cre]
Maintainer: Tiger Tang <tigerloveslobsters@gmail.com>

Diff between deckroadmap versions 0.1.4 dated 2026-04-21 and 0.1.5 dated 2026-06-09

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Package cABCanalysis updated to version 1.0.1 with previous version 1.0 dated 2026-04-28

Title: Computed ABC Analysis
Description: Identify the most relative data points by dividing a numeric data set into three classes A, B, and C, where class A items are the "import few", class C items are the "trivial many" with class B items being something in between, resembling the idea of the Pareto principle. This ABC classification is done using an ABC curve, which plots cumulative "Yield" against "Effort", similar to a Lorenz curve. Class borders are then precisely mathematically defined on that curve, aiding in interpretation. Based on: Ultsch A, Lotsch J (2015) "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data". PLoS ONE 10(6): e0129767. <doi:10.1371/journal.pone.0129767>.
Author: Jorn Lotsch [aut] , Andre Himmelspach [aut, cre]
Maintainer: Andre Himmelspach <himmelspach@med.uni-frankfurt.de>

Diff between cABCanalysis versions 1.0 dated 2026-04-28 and 1.0.1 dated 2026-06-09

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Package mlt.docreg updated to version 1.1-13 with previous version 1.1-12 dated 2025-12-08

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt.docreg versions 1.1-12 dated 2025-12-08 and 1.1-13 dated 2026-06-09

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Package dtw updated to version 1.23-3 with previous version 1.23-2 dated 2026-04-09

Title: Dynamic Time Warping Algorithms
Description: A comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc., as described in Giorgino (2009) <doi:10.18637/jss.v031.i07>.
Author: Toni Giorgino [aut, cre]
Maintainer: Toni Giorgino <toni.giorgino@gmail.com>

Diff between dtw versions 1.23-2 dated 2026-04-09 and 1.23-3 dated 2026-06-09

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Package decompr updated to version 6.9.0 with previous version 6.4.0 dated 2022-06-19

Title: Global Value Chain Decomposition
Description: Four global value chain (GVC) decompositions are implemented. The Leontief decomposition derives the value added origin of exports by country and industry as in Hummels, Ishii and Yi (2001). The Koopman, Wang and Wei (2014) decomposition splits country-level exports into 9 value added components, and the Wang, Wei and Zhu (2013) decomposition splits bilateral exports into 16 value added components. The Borin and Mancini (2019) decomposition splits country-, sector- or bilateral-level exports into up to 13 value added and GVC components. Various GVC indicators based on these decompositions are computed in the complimentary 'gvc' package. --- References: --- Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of vertical specialization in world trade. Journal of international Economics, 54(1), 75-96. Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459-94. Wang, Z., Wei, S. J., &a [...truncated...]
Author: Bastiaan Quast [aut, cre] , Fei Wang [aut], Victor Stolzenburg [aut], Oliver Reiter [ctb], Sebastian Krantz [ctb]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between decompr versions 6.4.0 dated 2022-06-19 and 6.9.0 dated 2026-06-09

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Package multiRL updated to version 0.4.5 with previous version 0.3.7 dated 2026-03-31

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

Diff between multiRL versions 0.3.7 dated 2026-03-31 and 0.4.5 dated 2026-06-09

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Package metamorphr updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-04

Title: Tidy and Streamlined Metabolomics Data Workflows
Description: Facilitate tasks typically encountered during metabolomics data analysis including data import, filtering, missing value imputation (Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <doi:10.1093/bioinformatics/btr597>, Tibshirani et al. (2017) <doi:10.18129/B9.BIOC.IMPUTE>, Troyanskaya et al. (2001) <doi:10.1093/bioinformatics/17.6.520>), normalization (Bolstad et al. (2003) <doi:10.1093/bioinformatics/19.2.185>, Dieterle et al. (2006) <doi:10.1021/ac051632c>, Zhao et al. (2020) <doi:10.1038/s41598-020-72664-6>) transformation, centering and scaling (Van Den Berg et al. (2006) <doi:10.1186/1471-2164-7-142>) as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham et al. (2019) <doi:10.21105/joss.01686>) format for metabolomics data and is designed to make it easier to build elaborate analysis workflows and to integrate them with 'tidyverse' packages including 'dplyr' and [...truncated...]
Author: Yannik Schermer [aut, cre, cph]
Maintainer: Yannik Schermer <yannik.schermer@chem.rptu.de>

Diff between metamorphr versions 0.3.0 dated 2026-03-04 and 0.4.0 dated 2026-06-09

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Package focus updated to version 0.1.6 with previous version 0.1.5 dated 2026-05-06

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

Diff between focus versions 0.1.5 dated 2026-05-06 and 0.1.6 dated 2026-06-09

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Package cv updated to version 2.0.6 with previous version 2.0.4 dated 2025-06-16

Title: Cross-Validating Regression Models
Description: Cross-validation methods of regression models that exploit features of various modeling functions to improve speed. Some of the methods implemented in the package are novel, as described in Fox and Monette (2026) <doi:10.18637/jss.v116.i08>, and the package vignettes. For general introductions to cross-validation, see, for example, Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (2021, ISBN 978-1-0716-1417-4, Secs. 5.1, 5.3), "An Introduction to Statistical Learning with Applications in R, Second Edition", and Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2009, ISBN 978-0-387-84857-0, Sec. 7.10), "The Elements of Statistical Learning, Second Edition".
Author: John Fox [aut] , Georges Monette [aut, cre]
Maintainer: Georges Monette <georges+cv@yorku.ca>

Diff between cv versions 2.0.4 dated 2025-06-16 and 2.0.6 dated 2026-06-09

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 inst/doc/cv-notes.html                                                                            |   38 +---
 inst/doc/cv-selection.html                                                                        |   29 +--
 inst/doc/cv.Rmd                                                                                   |    4 
 inst/doc/cv.html                                                                                  |   66 +++----
 man/Pigs.Rd                                                                                       |    5 
 man/cv.Rd                                                                                         |    4 
 man/cv.function.Rd                                                                                |   55 +++---
 man/cv.modList.Rd                                                                                 |   48 ++---
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 vignettes/cv.Rmd                                                                                  |    4 
 vignettes/fig                                                                                     |only
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Package survPen updated to version 2.0.5 with previous version 2.0.4 dated 2026-05-09

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

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 survPen-2.0.5/survPen/MD5                                                                               |   88 -
 survPen-2.0.5/survPen/NEWS                                                                              |   11 
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 survPen-2.0.5/survPen/man/HeartFailure.Rd                                                               |    2 
 survPen-2.0.5/survPen/man/NR.beta.Rd                                                                    |    2 
 survPen-2.0.5/survPen/man/NR.rho.Rd                                                                     |    2 
 survPen-2.0.5/survPen/man/constraint.Rd                                                                 |    2 
 survPen-2.0.5/survPen/man/cor.var.Rd                                                                    |    2 
 survPen-2.0.5/survPen/man/crs.FP.Rd                                                                     |    2 
 survPen-2.0.5/survPen/man/crs.Rd                                                                        |    2 
 survPen-2.0.5/survPen/man/datCancer.Rd                                                                  |    2 
 survPen-2.0.5/survPen/man/design.matrix.Rd                                                              |    2 
 survPen-2.0.5/survPen/man/expected.table.Rd                                                             |    2 
 survPen-2.0.5/survPen/man/instr.Rd                                                                      |    2 
 survPen-2.0.5/survPen/man/inv.repam.Rd                                                                  |    2 
 survPen-2.0.5/survPen/man/list.wicss.Rd                                                                 |    2 
 survPen-2.0.5/survPen/man/model.cons.Rd                                                                 |    2 
 survPen-2.0.5/survPen/man/predSNS.Rd                                                                    |    2 
 survPen-2.0.5/survPen/man/predict.survPen.Rd                                                            |    2 
 survPen-2.0.5/survPen/man/print.summary.survPen.Rd                                                      |    2 
 survPen-2.0.5/survPen/man/pwcst.Rd                                                                      |    2 
 survPen-2.0.5/survPen/man/rd.Rd                                                                         |    2 
 survPen-2.0.5/survPen/man/repam.Rd                                                                      |    2 
 survPen-2.0.5/survPen/man/robust.var.Rd                                                                 |    2 
 survPen-2.0.5/survPen/man/smf.Rd                                                                        |    2 
 survPen-2.0.5/survPen/man/smooth.cons.Rd                                                                |    2 
 survPen-2.0.5/survPen/man/smooth.cons.integral.Rd                                                       |    2 
 survPen-2.0.5/survPen/man/smooth.spec.Rd                                                                |    2 
 survPen-2.0.5/survPen/man/splitmult.Rd                                                                  |    2 
 survPen-2.0.5/survPen/man/summary.survPen.Rd                                                            |    2 
 survPen-2.0.5/survPen/man/survPen.Rd                                                                    |    2 
 survPen-2.0.5/survPen/man/survPen.fit.Rd                                                                |    2 
 survPen-2.0.5/survPen/man/survPenObject.Rd                                                              |    2 
 survPen-2.0.5/survPen/man/tensor.in.Rd                                                                  |    2 
 survPen-2.0.5/survPen/man/tensor.prod.S.Rd                                                              |    2 
 survPen-2.0.5/survPen/man/tensor.prod.X.Rd                                                              |    2 
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Package pre updated to version 1.0.9 with previous version 1.0.8 dated 2025-09-06

Title: Prediction Rule Ensembles
Description: Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements described in Fokkema (2020; <DOI:10.18637/jss.v092.i12>) and Fokkema & Strobl (2020; <DOI:10.1037/met0000256>). The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, survival and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>

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Package mvglmmRank updated to version 1.2-5 with previous version 1.2-4 dated 2023-01-07

Title: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Description: Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Author: Andrew T. Karl [cre, aut] , Jennifer Broatch [aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package fb4package updated to version 2.1.0 with previous version 2.0.0 dated 2026-05-07

Title: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend
Description: An implementation of the 'Fish Bioenergetics 4.0' framework described in Deslauriers et al. (2017) <doi:10.1080/03632415.2017.1377558>. Provides automated parameter optimization, multi-prey diet modeling, and comprehensive energy budget simulations for fisheries research and aquaculture applications. An optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup in maximum likelihood estimation while maintaining full backward compatibility. Includes species-specific parameter databases and tools for modeling fish growth, consumption, and metabolism under varying environmental conditions.
Author: Hans Ttito [aut, cre]
Maintainer: Hans Ttito <kvttitos@gmail.com>

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