Wed, 01 Jul 2026

Package serad updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-17

Title: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d'Écrits Avec des Règles Automatisées et Dynamiques
Description: Provides tools for generating dynamic and standardized economic narratives in R Markdown documents. The package is primarily designed for French-language statistical and economic publications. It includes functions to describe changes in levels, percentages, trends, accelerations and short-term economic developments using consistent linguistic rules. The package supports automated reporting workflows and reproducible economic writing. Fournit des outils permettant de générer des textes économiques dynamiques et standardisés dans des documents R Markdown. Le package est principalement conçu pour les publications statistiques et économiques en français. Il propose des fonctions permettant de décrire les évolutions de niveaux, de pourcentages, de tendances, d'accélérations et les évolutions conjoncturelles à l'aide de règles linguistiques homogènes. Le package facilite l'automatisation de la rédaction et la reproductibilité des publications économiques.
Author: Alexandre Cazenave-Lacroutz [aut] , Jules Lejas [cre], Direction de l'animation de la recherche, des etudes et des statistiques [cph]
Maintainer: Jules Lejas <jules.lejas@gmail.com>

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Package phoenics updated to version 0.6.1 with previous version 0.6 dated 2025-08-19

Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method, described in Guilmineau et al (2025) <doi:10.1186/s12859-025-06118-z> is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Author: Camille Guilmineau [aut], Remi Servien [aut, cre] , Nathalie Vialaneix [aut]
Maintainer: Remi Servien <remi.servien@inrae.fr>

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Package normalize updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-10

Title: Centering and Scaling of Numeric Data
Description: Provides simple methods for centering and scaling of numeric data. Columns or rows can be ignored when normalizing or be normalized jointly.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package movegroup updated to version 2026.07.01 with previous version 2024.03.05 dated 2024-03-07

Title: Visualizing and Quantifying Space Use Data for Groups of Animals
Description: Offers an easy and automated way to scale up individual-level space use analysis to that of groups. Contains functions from the 'move' package to calculate either a dynamic Brownian bridge movement model or dynamic Bivariate Gaussian bridges from movement data for individual animals, as well as functions to visualize and quantify space use for individuals aggregated in groups. Originally written with passive acoustic telemetry in mind, this package also provides functionality to account for unbalanced acoustic receiver array designs, and satellite tag data.
Author: Simon Dedman [aut, cre] , Maurits van Zinnicq Bergmann [aut] , Vital Heim [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>

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Package MexicoDataAPI updated to version 0.3.0 with previous version 0.2.0 dated 2025-09-13

Title: Access Mexican Data via APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'World Bank API', and 'Nager.Date API', covering Mexico's economic indicators, population statistics, literacy rates, and official public holidays. The package also includes curated datasets related to Mexico such as air quality monitoring stations, pollution zones, income surveys, postal abbreviations, election studies, forest productivity and demographic data by state. It supports research and analysis focused on Mexico by integrating reliable global APIs with structured national datasets drawn from open and academic sources. For more information on the APIs, see: 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'Nager.Date API' <https://date.nager.at/Api>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package asympDiag updated to version 0.3.3 with previous version 0.3.2 dated 2026-02-15

Title: Diagnostic Tools for Asymptotic Theory
Description: Leveraging Monte Carlo simulations, this package provides tools for diagnosing regression models. It implements a parametric bootstrap framework to compute statistics, generates diagnostic envelopes to assess goodness-of-fit, and evaluates type I error control for Wald tests. By simulating data under the assumption that the model is true, it helps to identify model mis-specifications and enhances the reliability of the model inferences.
Author: Alvaro Kothe [aut, cre, cph] , Alexandre Patriota [aut]
Maintainer: Alvaro Kothe <kothe65@gmail.com>

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Package artoo updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-24

Title: Lossless CDISC-Native Input and Output for Clinical Datasets
Description: Reads and writes clinical-trial datasets losslessly across 'SAS' XPORT (XPT), Clinical Data Interchange Standards Consortium (CDISC) Dataset-JSON, and 'Apache Parquet', applying a specification to produce submission-ready Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets. A single canonical metadata model carries labels, CDISC data types, lengths, 'SAS' display formats, controlled-terminology references, and sort keys identically across every format, so conversion between any two formats is lossless by construction. Pure 'R' and lightweight, with no external 'SAS' or 'Java' runtime. Implements the published format specifications for CDISC Dataset-JSON (<https://cdisc-org.github.io/DataExchange-DatasetJson/doc/dataset-json1-1.html>) and 'SAS' XPORT (<https://www.loc.gov/preservation/digital/formats/fdd/fdd000466.shtml>).
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

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Package AIscreenR updated to version 0.4.0 with previous version 0.3.2 dated 2026-04-20

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package a5R updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-14

Title: 'A5' Discrete Global Grid System
Description: Bindings for the "A5 geospatial index" <https://a5geo.org/>. 'A5' partitions the Earth's surface into pentagonal cells across 31 resolution levels using an equal-area projection onto a dodecahedron. Provides functions for indexing coordinates to cells, traversing the cell hierarchy, computing cell boundaries, and compacting/uncompacting cell sets. Powered by the 'A5' 'Rust' crate via 'extendr'.
Author: Hugh Graham [aut, cre], belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>

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Package srlars updated to version 3.0.1 with previous version 3.0.0 dated 2026-06-12

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 Rlabkey updated to version 3.5.0 with previous version 3.4.6 dated 2026-02-21

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

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Package nanonext updated to version 1.10.0 with previous version 1.9.1 dated 2026-06-01

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between nanonext versions 1.9.1 dated 2026-06-01 and 1.10.0 dated 2026-07-01

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More information about nanonext at CRAN
Permanent link

Package ife updated to version 0.2.5 with previous version 0.2.3 dated 2026-02-07

Title: Autodiff for Influence Function Based Estimates
Description: Implements an S7 class for estimates based on influence functions, with forward mode automatic differentiation defined for standard arithmetic operations.
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

Diff between ife versions 0.2.3 dated 2026-02-07 and 0.2.5 dated 2026-07-01

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More information about ife at CRAN
Permanent link

Package OUwie updated to version 3.0.2 with previous version 2.10 dated 2022-06-15

Title: Analysis of Evolutionary Rates in an OU Framework
Description: Estimates rates for continuous character evolution under Brownian motion and Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al. (2012).
Author: Jeremy M. Beaulieu [aut, cre], Brian O'Meara [aut]
Maintainer: Jeremy M. Beaulieu <jmbeauli@uark.edu>

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Package MCseqReplic updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-29

Title: Monte Carlo Simulations of Time Changes in Sequences
Description: Generates replicated sets of sequences with Monte Carlo simulated timing changes and computes various indicators for evaluating effects of timing uncertainty on sequence analysis results. See Ritschard, G. and Liao, T.F. (2026): "Assessing the Impact of Timing Errors in Sequence Analysis". International Journal of Social Research Methodology <doi:10.1080/13645579.2026.2666297>.
Author: Gilbert Ritschard [aut, cre, cph] , Tim F. Liao [ctb]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

Diff between MCseqReplic versions 1.0.0 dated 2026-04-29 and 1.1.0 dated 2026-07-01

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Package releaser updated to version 1.2.0 with previous version 1.1.1 dated 2026-06-08

Title: Help with Preparing a New Version of an R Package
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package peopleanalyticsdata updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-13

Title: Data Sets for Keith McNulty's Handbook of Regression Modeling in People Analytics
Description: Data sets for statistical inference modeling related to People Analytics. Contains various data sets from the book 'Handbook of Regression Modeling in People Analytics' by Keith McNulty (2026).
Author: Keith McNulty [aut, cre]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package mlt updated to version 1.8-1 with previous version 1.8-0 dated 2026-04-14

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.8-0 dated 2026-04-14 and 1.8-1 dated 2026-07-01

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Package ArchaeoPhases updated to version 2.1.1 with previous version 2.1.0 dated 2025-09-26

Title: Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling
Description: Statistical analysis of archaeological dates and groups of dates. This package allows to post-process Markov Chain Monte Carlo (MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>, 'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal' <https://bcal.shef.ac.uk/>. It provides functions for the study of rhythms of the long term from the posterior distribution of a series of dates (tempo and activity plot). It also allows the estimation and visualization of time ranges from the posterior distribution of groups of dates (e.g. duration, transition and hiatus between successive phases) as described in Philippe and Vibet (2020) <doi:10.18637/jss.v093.c01>.
Author: Anne Philippe [aut, cre] , Marie-Anne Vibet [aut] , Nicolas Frerebeau [aut] , Thomas S. Dye [ctb] , Nantes Universite [fnd] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

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Package pharmaversesdtm updated to version 1.5.0 with previous version 1.4.1 dated 2026-03-30

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Lina Patil [aut, cre], Stefan Bundfuss [aut] , Kristin Dahnert [aut], Fanny Gautier [aut] , Edoardo Mancini [aut] , Tomoyuki Namai [aut], Vinh Nguyen [aut], Kiran Peddamudium [aut], Gerardo Jose Rodriguez [aut] , Vladyslav Shuliar [aut] , Cytel Inc. [...truncated...]
Maintainer: Lina Patil <lina.patil@cytel.com>

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Package orthanc updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-11

Title: Programmatic Interface to 'Orthanc' DICOM Servers
Description: An R Interface to 'Orthanc' DICOM servers for medical imaging workflows. 'Orthanc' is a lightweight, open-source DICOM server that exposes a comprehensive REST API for managing, querying, retrieving, and modifying DICOM resources (<https://www.orthanc-server.com>). The goal of this package is to provide comprehensive and user-friendly access to the 'Orthanc' REST API, designed to align with idiomatic R workflows while preserving the structure and semantics of DICOM resources.
Author: Matthew T. Warkentin [aut, cre, cph]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>

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Package OpenLand readmission to version 1.0.4 with previous version 1.0.3 dated 2024-05-03

Title: Quantitative Analysis and Visualization of LUCC
Description: Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.
Author: Reginal Exavier [aut, cre] , Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2024-05-03

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Package rtemis updated to version 1.2.7 with previous version 1.0.0 dated 2026-03-26

Title: Machine Learning and Visualization
Description: Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

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Package pathfindR updated to version 3.0.2 with previous version 3.0.1 dated 2026-06-29

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between pathfindR versions 3.0.1 dated 2026-06-29 and 3.0.2 dated 2026-07-01

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Package multiScaleR updated to version 0.7.0 with previous version 0.6.13 dated 2026-04-18

Title: Methods for Optimizing Scales of Effect
Description: A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2026) <doi:10.1007/s10980-025-02267-x>.
Author: Bill Peterman [aut, cre]
Maintainer: Bill Peterman <Peterman.73@osu.edu>

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Permanent link

Package gson updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-06

Title: Base Class and Methods for 'gson' Format
Description: Provides a lightweight container and exchange format for gene set collections. It stores gene set membership, names, gene identifiers, species, versions, and source metadata, with utilities for reading, writing, validating, and converting gene set data for enrichment analysis and related workflows.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between gson versions 0.1.0 dated 2023-03-06 and 0.2.0 dated 2026-07-01

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Package fastkqr updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-13

Title: A Fast Algorithm for Kernel Quantile Regression
Description: Implements fast algorithms for kernel quantile regression and related models, including non-crossing kernel quantile regression and regularized linear quantile regression. The methods are described in Tang, Gu and Wang (2026) <doi:10.1080/10618600.2025.2541004>.
Author: Qian Tang [aut, cre], Yuwen Gu [aut], Boxiang Wang [aut]
Maintainer: Qian Tang <qian-tang@uiowa.edu>

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Package enrichit updated to version 0.2.0 with previous version 0.1.5 dated 2026-06-16

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), Weighted Enrichment Analysis for ORA and GSEA, Network-based Set Enrichment Analysis (NSEA), multi-layer network-based enrichment, and multi-omics integration workflows. Additional features include early fusion at the feature level, late fusion at the pathway level, multi-omics contribution tracing, topology-aware explanation helpers, Bayesian term selection, and extremely fast Random Walk with Restart (RWR) using 'RcppEigen'. The enrichment methods build on GSEA by Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>, the multilevel strategy derived from 'fgsea' by Korotkevich et al. (2021) <doi:10.1101/060012>, and network-based enrichment ideas described by Glaab et al. (2012) <doi:10.1093/bioinformatics/bts389>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package caretEnsemble updated to version 4.0.2 with previous version 4.0.1 dated 2024-09-12

Title: Ensembles of Caret Models
Description: Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model.
Author: Zachary A. Deane-Mayer [aut, cre, cph], Jared E. Knowles [ctb], Anton Lopez [ctb]
Maintainer: Zachary A. Deane-Mayer <zach.mayer@gmail.com>

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Package jmotif updated to version 1.3.0 with previous version 1.2.1 dated 2025-12-22

Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

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Package HAMMER updated to version 1.1 with previous version 1.0 dated 2026-06-08

Title: High-Dimensional Factor-Analytic Representation Modeling and Metrics
Description: The goal of 'HAMMER' is to provide factor analytic representation learning and associated determinacy metrics for very-high-dimensional data. It projects high-dimensional data onto low-dimensional generative latent sources and assesses the uncertainty in the projection. The projection is distribution-free, scale-equivariant, and efficient. For details, see Peeters (2026) <doi:10.48550/arXiv.2606.28854>.
Author: Carel F.W. Peeters [aut, cre, cph]
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>

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Package popEpi updated to version 0.5.0 with previous version 0.4.14 dated 2026-02-12

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized incidence and mortality ratios, all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [cre, aut] , Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

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Package mets updated to version 1.3.11 with previous version 1.3.10 dated 2026-05-23

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between mets versions 1.3.10 dated 2026-05-23 and 1.3.11 dated 2026-07-01

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More information about mets at CRAN
Permanent link

Package vectra updated to version 0.9.8 with previous version 0.9.1 dated 2026-06-29

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. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between vectra versions 0.9.1 dated 2026-06-29 and 0.9.8 dated 2026-07-01

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More information about vectra at CRAN
Permanent link

New package trackclean with initial version 0.1.0
Package: trackclean
Title: Tools for Cleaning High-Frequency Real-Time Location Tracking Data
Version: 0.1.0
Description: Provides data cleaning and preprocessing tools for high-frequency positional data from real-time location tracking systems (UWB, RFID, and similar technologies), with functions for ID mapping, time period marking, data standardization, and two-phase conditional gap interpolation. See Bilevicius (2026) <doi:10.5281/zenodo.20783488>.
License: CC BY 4.0
URL: https://github.com/tomasbil/trackclean
BugReports: https://github.com/tomasbil/trackclean/issues
Encoding: UTF-8
Language: en-US
Imports: dplyr, lubridate, magrittr, readr, rlang, tibble
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-26 08:09:33 UTC; tomas
Author: Tomas Bilevicius [aut, cre]
Maintainer: Tomas Bilevicius <Tomas.Bilevicius@vub.be>
Repository: CRAN
Date/Publication: 2026-07-01 09:40:02 UTC

More information about trackclean at CRAN
Permanent link

Package structenforcement updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-30

Title: Struct-Like Data Type Checking and Enforcement
Description: Enforcement of field types in lists. A drop-in tool to allow for dynamic input data that might be questionably parsed or cast to be coerced into the specific desired format in a reasonably performant manner.
Author: Samuel Sapire [aut, cre, cph], Sean Barrett [ctb]
Maintainer: Samuel Sapire <sapires@protonmail.com>

Diff between structenforcement versions 0.3.0 dated 2026-06-30 and 0.3.1 dated 2026-07-01

 DESCRIPTION                           |    6 +++---
 MD5                                   |   10 +++++-----
 NEWS.md                               |    4 ++++
 src/functions.c                       |   19 ++++++++++---------
 tests/testthat/test-type_check.R      |    1 +
 tests/testthat/test-type_check_each.R |   24 ++++++++++++++++++++++++
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New package saeHB.Spatial.Beta with initial version 0.1.0
Package: saeHB.Spatial.Beta
Title: Small Area Estimation Hierarchical Bayes for Spatial Beta Model
Version: 0.1.0
Description: Provides several functions and datasets for area-level Small Area Estimation using the Hierarchical Bayesian (HB) method. Model-based estimators are designed for variables of interest that follow a Beta distribution. The package supports spatial structures under the Simultaneous Autoregressive (SAR) and Leroux Conditional Autoregressive (CAR) models, accommodating survey design effect (DEFF) adjustments. The 'rjags' package is employed to obtain parameter estimates via Gibbs Sampling. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Kubacki and Jedrzejczak (2016) <doi:10.59170/stattrans-2016-022>, Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>, and Chung and Datta (2020) <https://www.census.gov/content/dam/Census/library/working-papers/2020/adrm/RRS2020-07.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: rjags, coda, stats, grDevices, graphics, sf, spdep
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
URL: https://github.com/BobyIwan/saeHB.Spatial.Beta
BugReports: https://github.com/BobyIwan/saeHB.Spatial.Beta/issues
NeedsCompilation: no
Packaged: 2026-06-14 06:01:44 UTC; diann
Author: Boby Iwan [aut, cre], Cucu Sumarni [aut]
Maintainer: Boby Iwan <bobyiwanboby2122@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-01 09:30:07 UTC

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New package rtransparency with initial version 1.0.0
Package: rtransparency
Title: Identifies Indicators of Transparency
Version: 1.0.0
Description: Use this package to identify indicators of transparency within the published literature. It can identify and extract text related to indicators of transparency from specifically formatted TXT files and from PMC XML files (i.e. XML files downloaded from the PubMed Central). It builds on the original 'rtransparent' tool of Serghiou et al. (2021) <doi:10.1371/journal.pbio.3001107>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/choxos/rtransparency, https://choxos.github.io/rtransparency/
BugReports: https://github.com/choxos/rtransparency/issues
Depends: R (>= 3.5.0)
Imports: dplyr, magrittr, purrr, readr, rlang, stringr, tibble, tidyselect, utf8, xml2
Suggests: furrr, future, ggplot2, knitr, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-25 11:35:18 UTC; choxos
Author: Stylianos Serghiou [aut], Ahmad Sofi-Mahmudi [cre, aut]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-01 09:00:02 UTC

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New package rfair with initial version 0.1.0
Package: rfair
Title: Assess the FAIRness of Research Data Objects and Software
Version: 0.1.0
Description: A native R implementation of the F-UJI (FAIRsFAIR Research Data Object Assessment) and FRSM (FAIR for Research Software) metrics for evaluating how well a research data object or piece of research software satisfies the FAIR principles (Findable, Accessible, Interoperable, Reusable). The software metrics operationalize the FAIR Principles for Research Software (FAIR4RS) of Chue Hong et al. (2022) <doi:10.15497/RDA00068>. Given a persistent identifier, URL, or code repository, 'rfair' resolves it, harvests metadata from landing pages and registries, and scores it against the FAIRsFAIR metrics of Devaraju and Huber (2020) <doi:10.5281/zenodo.3775793> entirely in R, without requiring an external assessment server. 'rfair' began as a fork of the 'rfuji' F-UJI API client and reimplements the assessment engine natively.
License: GPL-3
URL: https://github.com/choxos/rfair, https://choxos.github.io/rfair/
BugReports: https://github.com/choxos/rfair/issues
Depends: R (>= 4.1)
Imports: digest, httr2, jsonlite, mime, rvest, stats, stringdist, utils, xml2, yaml
Suggests: bslib, chromote, covr, DT, httptest2, jqr, knitr, plumber, rdflib, rmarkdown, shiny, testthat (>= 3.0.0), wand
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-25 11:44:53 UTC; choxos
Author: Ahmad Sofi-Mahmudi [aut, cre] , Steffen Neumann [ctb] , PANGAEA [cph]
Maintainer: Ahmad Sofi-Mahmudi <a.sofimahmudi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-01 09:10:02 UTC

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New package palsr with initial version 0.1.0
Package: palsr
Title: Projected Actor Locations for Spatial Interaction Modeling
Version: 0.1.0
Description: Implements the Projected Actor Locations (PALS) method for spatial modeling of dyadic interactions between geographically mobile actors, as described in Kim, Liu and Desmarais (2023) <doi:10.1017/psrm.2022.6>. PALS applies exponential-smoothing weights to the spatiotemporal histories of a focal actor and its interaction partners ("alters") to project the location of future interactions. The package provides projection, maximum-similarity parameter estimation by minimizing great-circle (Haversine) prediction error, nonparametric bootstrap with multiple-imputation (Rubin's Rules) pooling, dyadic distance covariate construction, visualization, and a simulated example dataset of subnational conflict.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, mice, ggplot2
URL: https://github.com/bdesmarais/palsr
BugReports: https://github.com/bdesmarais/palsr/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-25 11:47:24 UTC; bbd5087
Author: Bruce A. Desmarais [aut, cre], Sangyeon Kim [aut], Howard Liu [aut]
Maintainer: Bruce A. Desmarais <bruce.desmarais@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-01 10:00:13 UTC

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Package doBy updated to version 4.7.2 with previous version 4.7.1 dated 2025-12-02

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: Main categories: Working with grouped data: 'do' something to data when stratified 'by' some variables. General linear estimates. Data handling utilities. Functional programming, in particular restrict functions to a smaller domain. Miscellaneous functions for data handling. Model stability in connection with model selection. Miscellaneous other tools.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

Diff between doBy versions 4.7.1 dated 2025-12-02 and 4.7.2 dated 2026-07-01

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New package axprism with initial version 0.2.0
Package: axprism
Title: Client for the 'AxPrism' Institutional XBRL and Shariah Compliance API
Version: 0.2.0
Description: Provides an R client for the 'AxPrism' Application Programming Interface (API) (<https://axprism.com>), which serves institutional financial data in the eXtensible Business Reporting Language (XBRL) format together with Shariah compliance screening. Supported compliance rulesets include those of the Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI), the Morgan Stanley Capital International (MSCI) Islamic methodology, the Dow Jones Islamic Market (DJIM), the Financial Times Stock Exchange (FTSE) and the Saudi Capital Market Authority (CMA). Convenience functions wrap company fundamentals, compliance verdicts and portfolio screening, company profiles, equity screeners, regulatory disclosures and filing text search, and the Tadawul (Saudi Exchange), Bursa Malaysia and Indonesia Stock Exchange (IDX) markets, as well as webhooks and bulk data export. Requests use 'X-API-Key' header authentication, automatic retries with exponential backoff, and a generic [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://axprism.com, https://axprism.com/api-reference
BugReports: https://axprism.com/contact
Imports: httr, jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-26 01:30:20 UTC; code
Author: Marco Corleone [aut, cre]
Maintainer: Marco Corleone <dev@axprism.com>
Repository: CRAN
Date/Publication: 2026-07-01 09:20:02 UTC

More information about axprism at CRAN
Permanent link

Package teal.modules.general updated to version 0.7.0 with previous version 0.6.0 dated 2025-12-03

Title: General Modules for 'teal' Applications
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Author: Dony Unardi [aut, cre], Dawid Kaledkowski [aut], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dony Unardi <unardid@gene.com>

Diff between teal.modules.general versions 0.6.0 dated 2025-12-03 and 0.7.0 dated 2026-07-01

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Package surveillance updated to version 1.26.0 with previous version 1.25.0 dated 2025-06-25

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available mon [...truncated...]
Author: Michael Hoehle [aut, ths] , Sebastian Meyer [aut, cre] , Michaela Paul [aut], Leonhard Held [ctb, ths] , Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Sophie Reichert [ctb], Andrea Riebler [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

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Package statgenHTP updated to version 1.0.9.3 with previous version 1.0.9.2 dated 2026-05-21

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package PRISMA2020 updated to version 1.1.4 with previous version 1.1.1 dated 2023-02-09

Title: Make Interactive 'PRISMA' Flow Diagrams
Description: Systematic reviews should be described in a high degree of methodological detail. The 'PRISMA' Statement calls for a high level of reporting detail in systematic reviews and meta-analyses. An integral part of the methodological description of a review is a flow diagram. This package produces an interactive flow diagram that conforms to the 'PRISMA2020' preprint. When made interactive, the reader/user can click on each box and be directed to another website or file online (e.g. a detailed description of the screening methods, or a list of excluded full texts), with a mouse-over tool tip that describes the information linked to in more detail. Interactive versions can be saved as HTML files, whilst static versions for inclusion in manuscripts can be saved as HTML, PDF, PNG, SVG, PS or WEBP files.
Author: Neal Haddaway [aut] , Luke McGuinness [aut] , Chris Pritchard [aut, cre] , Brennan Chapman [ctb], Hossam Hammady [ctb], Anders Kolstad [ctb] , Shreya Dimri [ctb] , Matt Lloyd Jones [ctb] , John-o Kulas [ctb]
Maintainer: Chris Pritchard <chris@christopherpritchard.co.uk>

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Package s20x updated to version 3.3.0 with previous version 3.2.2 dated 2026-01-14

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Brant Deppa [aut] , James Curran [aut, cre] , Hannah Yun [ctb], Rachel Fewster [ctb], Russell Millar [ctb], Ben Stevenson [ctb], Andrew Balemi [ctb], Chris Wild [ctb], Sophie Jones [ctb], Dineika Chandra [ctb], Brendan McArdle [ctb]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package HDiR (with last version 1.1.3) was removed from CRAN

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

2022-11-16 1.1.3
2022-08-06 1.1.2
2021-03-31 1.1.1
2021-01-28 1.1
2020-12-07 1.0

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