Tue, 07 Jul 2026

Package schoolmath updated to version 0.5.0 with previous version 0.4.2 dated 2023-08-21

Title: Functions and Datasets for Math Used in School
Description: Contains functions and datasets for math taught in school. A main focus is set to prime-calculation.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package bayesQRsurvey updated to version 0.3.0 with previous version 0.2.2 dated 2026-04-06

Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press).
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>

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Package ggforestplotR updated to version 0.3.0 with previous version 0.2.2 dated 2026-06-05

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

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Package tradestatistics updated to version 7.0.0 with previous version 6.0.0 dated 2025-09-22

Title: Open Trade Statistics API Wrapper and Utility Program
Description: Access 'Open Trade Statistics' API from R to download international trade data.
Author: Mauricio Vargas [aut, cre, cph] , Joshua Kunst [ctb] , Alexey Kravchenko [ctb] , Emma Mendelsohn [ctb] , Daniela de los Santos [ctb] , Emily Riederer [rev] , Mark Padgham [rev] , Amanda Dobbyn [rev] , Jorge Cimentada [rev] , UN Comtrade [dtc], The Wo [...truncated...]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>

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Package panelPomp updated to version 1.8.0.0 with previous version 1.7.0.0 dated 2025-05-09

Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] , Edward L. Ionides [aut] , Aaron A. King [aut] , Jesse Wheeler [aut, cre] , Aaron Abkemeier [ctb]
Maintainer: Jesse Wheeler <jesse.wheeler@usu.edu>

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Package vegdata readmission to version 1.9.18 with previous version 1.9.15 dated 2025-12-01

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources but especially Turboveg 2.0. Taxonomic harmonization (given appropriate taxonomic lists, e.g. GermanSL and EuroSL (Euro+Med extended) see <https://eurosl.infinitenature.org>).
Author: Florian Jansen [aut, cre]
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

This is a re-admission after prior archival of version 1.9.15 dated 2025-12-01

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Package soilKey updated to version 0.9.184 with previous version 0.9.157 dated 2026-06-30

Title: Automated Soil Profile Classification per WRB 2022, 'SiBCS' 5 and USDA Soil Taxonomy 13
Description: Implements deterministic classification keys for the World Reference Base for Soil Resources 2022 (4th edition) and the Brazilian System of Soil Classification ('SiBCS', 5th edition). Provides a unified profile representation with explicit per-attribute provenance, multimodal extraction from field reports and photos via vision-language models, spatial priors from 'SoilGrids' and national soil maps, and gap-filling of soil attributes from Vis-NIR or MIR spectra via the Open Soil Spectral Library ('OSSL'). The taxonomic key itself is never delegated to a language model; LLMs are restricted to schema-validated extraction. Each classification result reports a key trace, a provenance-aware evidence grade, and ambiguities that further measurement would resolve.
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

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Package serpstatr updated to version 0.5.0 with previous version 0.4.3 dated 2026-07-02

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 0.4.3 dated 2026-07-02 and 0.5.0 dated 2026-07-07

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Permanent link

Package rcatfish updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-12

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 1.0.3 dated 2026-06-12 and 1.0.4 dated 2026-07-07

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Package pkgdown updated to version 2.2.1 with previous version 2.2.0 dated 2025-11-06

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Olivier Roy [aut], Salim Brueggemann [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package joinery updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-07

Title: Heuristic Index-Based Record Linkage
Description: Links records that refer to the same entity across sources that share no common key, such as people, firms, or addresses with spelling variation, abbreviations, or reordered words. Linkage is described declaratively as a strategy that normalises, tokenises, phonetically encodes, weights, and blocks each field; candidate pairs are then scored by the rarity-weighted overlap of their tokens and every score is attributed back to individual tokens for explainability. Strategies compose into staged pipelines of exact, fuzzy, and optional embedding-based matching that carry unmatched records forward and resolve entities as connected components. The same strategy runs on an in-memory 'data.table' backend or an out-of-core 'DuckDB' backend, and diagnostic and calibration tools help tune a strategy and filter false positives. The token-retrieval heuristic follows Doherr (2023) <doi:10.2139/ssrn.4326848>.
Author: Eduard Bruell [aut, cre]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

Diff between joinery versions 1.0.0 dated 2026-07-07 and 1.0.1 dated 2026-07-07

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Permanent link

Package golem updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-26

Title: A Framework for Robust Shiny Applications
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Sebastien Rochette [aut] , Cervan Girard [aut] , Novica Nakov [ctb], David Granjon [ctb], Arthur Breant [ctb], Antoine Languillaume [ctb], Ilya Zarubin [ctb], ThinkR [cph]
Maintainer: Colin Fay <contact@colinfay.me>

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Package cleangeo updated to version 0.3-2 with previous version 0.3-1 dated 2023-09-01

Title: Cleaning Geometries from Spatial Objects
Description: Provides a set of utility tools to inspect spatial objects, facilitate handling and reporting of topology errors and geometry validity issue with sp objects. Finally, it provides a geometry cleaner that will fix all geometry problems, and eliminate (at least reduce) the likelihood of having issues when doing spatial data processing.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package arima2 updated to version 3.4.4 with previous version 3.4.3 dated 2025-12-10

Title: Likelihood Based Inference for ARIMA Modeling
Description: Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) <doi:10.1371/journal.pone.0333993>.
Author: Jesse Wheeler [aut, cre, cph], Noel McAllister [aut], Dhajanae Sylvertooth [aut], Edward Ionides [ctb], Brian Ripley [ctb] , R Core Team [cph]
Maintainer: Jesse Wheeler <jesse.wheeler@usu.edu>

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Package araponga updated to version 1.1.0 with previous version 1.0.1 dated 2026-07-02

Title: Estimate 3D Orientations from 2D Landmarks
Description: Estimates possible 3D orientations of an object from the 2D image coordinates of two landmarks and an approximate camera-object elevation angle. Because a projected 2D angle can be compatible with multiple 3D pitch, yaw, and view-elevation angles, the package returns compatible sets of orientations rather than a single unconstrained estimate.
Author: Joao C T Menezes [aut, cre, cph]
Maintainer: Joao C T Menezes <jocateme@gmail.com>

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Permanent link

Package spant updated to version 4.3.0 with previous version 4.2.0 dated 2026-06-20

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package missMDA updated to version 1.22 with previous version 1.21 dated 2026-02-12

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson [aut, cre] , Julie Josse [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package binom updated to version 1.1-2 with previous version 1.1-1.1 dated 2022-05-02

Title: Binomial Confidence Intervals for Several Parameterizations
Description: Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations.
Author: Sundar Dorai-Raj [aut], Arianna D. Cascone [aut, cre]
Maintainer: Arianna D. Cascone <ariannacascone4@gmail.com>

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Package GWnorm updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-27

Title: G-Wishart Normalising Constants for Gaussian Graphical Models
Description: Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), <doi:10.48550/arXiv.2503.13046>.
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>

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Package altdoc updated to version 0.7.3 with previous version 0.7.2 dated 2026-03-02

Title: Package Documentation Websites with 'Quarto', 'Docsify', 'Docute', or 'MkDocs'
Description: This is a simple and powerful package to create, render, preview, and deploy documentation websites for 'R' packages. It is a lightweight and flexible alternative to 'pkgdown', with support for many documentation generators, including 'Quarto', 'Docute', 'Docsify', and 'MkDocs'.
Author: Etienne Bacher [aut, cre, cph], Vincent Arel-Bundock [aut]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package zen4R updated to version 0.10.6 with previous version 0.10.5 dated 2026-03-30

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

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Package nowcastr updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-16

Title: Nowcasting with Chain-Ladder Method
Description: Nowcasting using the Chain-Ladder method. Supports both non-cumulative delay-based estimation and model-based completeness fitting (e.g., using logistic or Gompertz curves) to predict final counts from partially reported data.
Author: Mathias Leroy [aut, cre], Finlay Campbell [aut]
Maintainer: Mathias Leroy <mathias.leroy.rpkg@gmail.com>

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Package MMAD updated to version 3.0.0 with previous version 2.0.1 dated 2026-03-12

Title: Minorization-Maximization via Assembly-Decomposition Technology
Description: A formula-driven framework for maximizing target functions via the minorization-maximization (MM) algorithm. The package represents the target as a symbolic expression tree, infers its curvature via disciplined-convex-programming rules, and constructs a separable surrogate at each iterate using only Jensen's inequality and the supporting hyperplane. The driver maximizes the surrogate via block-coordinate Newton with line search, falling back to a multivariate step on any non-separable residue. A formula interface accepts standard R expressions (including `sum()` reductions and `X %*% theta` design-matrix products) so statistical models such as Poisson regression can be written in one line.
Author: Xifen Huang [aut], Jinfeng Xu [aut], Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

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Package laminr updated to version 1.3.1 with previous version 1.3.0 dated 2026-03-13

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@lamin.ai>

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Package effectsize updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-11

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

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Package WienR updated to version 0.3-17 with previous version 0.3-15 dated 2023-11-29

Title: Derivatives of the First-Passage Time Density and Cumulative Distribution Function, and Random Sampling from the (Truncated) First-Passage Time Distribution
Description: First, we provide functions to calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. Since the PDF, CDF, and their derivatives are represented as infinite series, we give the user the option to control the approximation errors with the argument 'precision'. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is required whenever sv, sw, and [...truncated...]
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [ctb], Przemyslaw Sliwa [ctb], Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between WienR versions 0.3-15 dated 2023-11-29 and 0.3-17 dated 2026-07-07

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 40 files changed, 447 insertions(+), 113 deletions(-)

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Package rjd3jars updated to version 0.0.5 with previous version 0.0.4 dated 2026-07-03

Title: External jars for 'rjdverse' R Packages
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

Diff between rjd3jars versions 0.0.4 dated 2026-07-03 and 0.0.5 dated 2026-07-07

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Package antaresRead updated to version 3.1.0 with previous version 3.0.1 dated 2026-05-28

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 3.0.1 dated 2026-05-28 and 3.1.0 dated 2026-07-07

 DESCRIPTION                                                                |    6 
 LICENSE                                                                    |    2 
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 NAMESPACE                                                                  |  256 
 NEWS.md                                                                    | 1572 +--
 R/API-methods.R                                                            |  486 -
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 R/antaresRead-package.R                                                    |   14 
 R/asAntaresDataList.R                                                      |  140 
 R/asAntaresDataTable.R                                                     |  102 
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 R/getAreas.R                                                               |  186 
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More information about antaresRead at CRAN
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Package ukbnmr updated to version 3.4 with previous version 3.3.2 dated 2026-04-12

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

Diff between ukbnmr versions 3.3.2 dated 2026-04-12 and 3.4 dated 2026-07-07

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Package TSGS updated to version 1.0.1 with previous version 1.0 dated 2021-09-08

Title: Trait Specific Gene Selection using SVM and GA
Description: Obtaining relevant set of trait specific genes from gene expression data is important for clinical diagnosis of disease and discovery of disease mechanisms in plants and animals. This process involves identification of relevant genes and removal of redundant genes as much as possible from a whole gene set. This package returns the trait specific gene set from the high dimensional RNA-seq count data by applying combination of two conventional machine learning algorithms, support vector machine (SVM) and genetic algorithm (GA). GA is used to control and optimize the subset of genes sent to the SVM for classification and evaluation. Genetic algorithm uses repeated learning steps and cross validation over number of possible solution and selects the best. The algorithm selects the set of genes based on a fitness function that is obtained via support vector machines. Using SVM as the classifier performance and the genetic algorithm for feature selection, a set of trait specific gene set is o [...truncated...]
Author: Md. Samir Farooqi [aut], K.K. Chaturvedi [aut], D.C. Mishra [aut], Sudhir Srivastava [cre, aut]
Maintainer: Sudhir Srivastava <sudhir0401bm@gmail.com>

Diff between TSGS versions 1.0 dated 2021-09-08 and 1.0.1 dated 2026-07-07

 DESCRIPTION |   16 ++++++++--------
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Package SDALGCP2 updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-02

Title: Discrete Log-Gaussian Cox Processes for Aggregated Disease Counts
Description: Fits a spatially discrete approximation to a log-Gaussian Cox process model for spatially aggregated disease count data, estimated by Monte Carlo Maximum Likelihood as in Christensen (2004) <doi:10.1198/106186004X2525> and Johnson, Diggle and Giorgi (2019) <doi:10.1002/sim.8339>. Performance-critical steps (aggregated correlation assembly, Metropolis-adjusted Langevin algorithm (MALA) sampling, the Monte Carlo likelihood, and the Kronecker-structured space-time likelihood) are implemented in C++ via 'RcppArmadillo'. Provides a one-line, 'glm'-like interface and statistical extensions including a nugget term, general 'Matern' smoothness, raster and misaligned covariates, restricted spatial regression, importance-sampling diagnostics and re-anchored Monte Carlo maximum likelihood (MCML).
Author: Olatunji Johnson [aut, cre], Emanuele Giorgi [aut], Peter Diggle [aut]
Maintainer: Olatunji Johnson <olatunjijohnson21111@gmail.com>

Diff between SDALGCP2 versions 0.1.0 dated 2026-07-02 and 0.1.1 dated 2026-07-07

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Package fastLISA updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-06

Title: Fast Local Indicators of Spatial Association (LISA)
Description: Computes various Local Indicators of Spatial Association (LISA) statistics, including univariate and bivariate local Moran's I, Empirical Bayes local Moran's I, univariate and multivariate local Geary's C, and Getis-Ord G and G* statistics. The methods follow Anselin (1995), Getis and Ord (1992), and Anselin (2019). Leverages a high-performance, plain-C backend with optional 'OpenMP' multi-core support for fast permutation-based pseudo-p-value calculation. Accepts any 'spdep' listw spatial weight matrix, including custom and non-contiguity weights. Uses sample standardisation (n-1) and 'rgeoda'-style permutation p-values. Output cluster codes match 'rgeoda' conventions, including the Isolated category for observations without neighbours.
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>

Diff between fastLISA versions 1.0.0 dated 2026-07-06 and 1.0.1 dated 2026-07-07

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More information about fastLISA at CRAN
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New package ggpaintr with initial version 0.11.1
Package: ggpaintr
Title: Build Formula-Driven 'shiny' Apps for 'ggplot2'
Version: 0.11.1
Description: Turns a single 'ggplot2'-style formula string into a small 'shiny' application. Placeholder tokens in the formula become input widgets automatically; the package completes the expression with the current input values, renders the plot, shows the generated code, and supports uploaded datasets in different formats.
License: GPL-3
URL: https://willju-wangqian.github.io/ggpaintr/, https://github.com/willju-wangqian/ggpaintr
BugReports: https://github.com/willju-wangqian/ggpaintr/issues
Depends: R (>= 4.1.0), ggplot2 (>= 3.3.0)
Imports: assertthat (>= 0.2.0), cli (>= 2.2.0), htmltools, rlang (>= 1.0.0), shiny (>= 1.6.0), shinyWidgets (>= 0.6.4)
Suggests: bslib (>= 0.5.0), dplyr, ellmer, jsonlite, knitr, miniUI, pkgdown, plotly, purrr, readxl, rmarkdown, rstudioapi, shinytest2, testthat (>= 3.1.7), withr, writexl, xaringanExtra
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-02 06:36:08 UTC; willju
Author: Wangqian Ju [aut, cre] , Jinji Pang [aut] , Zhili Qiao [aut]
Maintainer: Wangqian Ju <wju@iastate.edu>
Repository: CRAN
Date/Publication: 2026-07-07 10:10:02 UTC

More information about ggpaintr at CRAN
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Package flextable updated to version 0.10.0 with previous version 0.9.12 dated 2026-06-02

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.9.12 dated 2026-06-02 and 0.10.0 dated 2026-07-07

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Permanent link

New package planisphere with initial version 0.1.0
Package: planisphere
Title: Map Projections
Version: 0.1.0
Description: Applies cartographic projections to spatial data frames containing geographic coordinates. Projection methods are based on the 'D3.js' ecosystem <doi:10.1109/TVCG.2011.185> and use spherical geometry rather than ellipsoidal geodesic models.
License: GPL (>= 3)
URL: https://riatelab.github.io/planisphere/
BugReports: https://github.com/riatelab/planisphere/issues/
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, sf, V8, geojsonsf, graphics
Suggests: knitr, r2d3
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-01 06:23:41 UTC; nlambert
Author: Nicolas Lambert [aut, cre]
Maintainer: Nicolas Lambert <nicolas.lambert@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:02 UTC

More information about planisphere at CRAN
Permanent link

Package normality updated to version 0.0.3 with previous version 0.0.1 dated 2026-06-09

Title: Tests for Departure from Normality
Description: A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

Diff between normality versions 0.0.1 dated 2026-06-09 and 0.0.3 dated 2026-07-07

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New package nonprobsampling with initial version 0.1.0
Package: nonprobsampling
Title: Inference for Nonprobability Samples Using Multiple Reference Surveys
Version: 0.1.0
Description: Provides pseudo-weighted estimates of means and prevalences for finite population inference from nonprobability samples using auxiliary information from one or multiple probability reference surveys. The package supports estimation with multiple reference surveys, allowing auxiliary information to be combined when no single survey contains all variables relevant to participation. Optional cumulative precalibration can be applied to align weighted totals of shared variables across surveys. Methods are based on the generalized estimating equations framework of Landsman et al. (2026) <doi:10.1002/sim.70403> for correcting participation bias. For a single reference survey, the package implements the raking ratio calibration method and includes the adjusted logistic propensity (ALP) method of Wang, Valliant, and Li (2021) <doi:10.1002/sim.9122>, as well as the Chen-Li-Wu (CLW) method of Chen, Li, and Wu (2020) <doi:10.1080/01621459.2019.1677241>. Analytic variance estimati [...truncated...]
Depends: R (>= 4.0.0)
Imports: stats, survey, nleqslv, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-US
URL: https://github.com/Jiakun0611/nonprobsampling, https://jiakun0611.github.io/nonprobsampling/
BugReports: https://github.com/Jiakun0611/nonprobsampling/issues
NeedsCompilation: no
Packaged: 2026-07-02 03:20:06 UTC; Kevin
Author: Jiakun Lin [aut, cre], Victoria Landsman [aut], Aya A. Mitani [aut]
Maintainer: Jiakun Lin <jiak.lin@alumni.utoronto.ca>
Repository: CRAN
Date/Publication: 2026-07-07 10:00:02 UTC

More information about nonprobsampling at CRAN
Permanent link

New package joinery with initial version 1.0.0
Package: joinery
Title: Heuristic Index-Based Record Linkage
Version: 1.0.0
Description: Links records that refer to the same entity across sources that share no common key, such as people, firms, or addresses with spelling variation, abbreviations, or reordered words. Linkage is described declaratively as a strategy that normalises, tokenises, phonetically encodes, weights, and blocks each field; candidate pairs are then scored by the rarity-weighted overlap of their tokens and every score is attributed back to individual tokens for explainability. Strategies compose into staged pipelines of exact, fuzzy, and optional embedding-based matching that carry unmatched records forward and resolve entities as connected components. The same strategy runs on an in-memory 'data.table' backend or an out-of-core 'DuckDB' backend, and diagnostic and calibration tools help tune a strategy and filter false positives. The token-retrieval heuristic follows Doherr (2023) <doi:10.2139/ssrn.4326848>.
URL: https://edubruell.github.io/joinery/, https://github.com/edubruell/joinery
BugReports: https://github.com/edubruell/joinery/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: S7, rlang (>= 1.1.0), data.table, igraph, stringi, phonics, lubridate, cli, glue, tinyplot, graphics
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
Suggests: duckdb, DBI, dbplyr, dplyr, tidyllm, tibble, stringdist, generics, parsnip, recipes, workflows, yardstick, probably, testthat (>= 3.0.0), withr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-01 07:40:02 UTC; ebr
Author: Eduard Bruell [aut, cre]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:07 UTC

More information about joinery at CRAN
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Package EFAtools updated to version 0.8.0 with previous version 0.7.1 dated 2026-05-08

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre] , Silvia Steiner [aut] , William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb], Andreas Soteri [...truncated...]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

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New package didintrjl with initial version 0.2.6
Package: didintrjl
Title: Intersection Difference-in-Differences
Version: 0.2.6
Description: A wrapper for the Julia package 'DiDInt.jl' <https://ebjamieson97.github.io/DiDInt.jl/stable/> which implements intersection difference-in-differences (DID-INT), a method developed by Karim & Webb (2025) <doi:10.48550/arXiv.2412.14447>. Allows for unbiased estimation of the average effect of treatment on the treated (ATT) in cases when the common causal covariates assumption is violated. Also computes p-values for the ATT via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Encoding: UTF-8
SystemRequirements: Julia (>= 1.10), DiDInt.jl
BugReports: https://github.com/ebjamieson97/didintrjl/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://ebjamieson97.github.io/didintrjl/, https://github.com/ebjamieson97/undidR
Imports: JuliaConnectoR, ggplot2, rlang
NeedsCompilation: no
Packaged: 2026-07-02 00:39:26 UTC; Eric Bruce Jamieson
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:50:02 UTC

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New package datey with initial version 0.1.0
Package: datey
Title: Exact Date and Duration Arithmetic on an Annual Grid
Version: 0.1.0
Description: Standardised mapping of dates onto a discrete annual grid, together with exact date and duration arithmetic. This matters when the primary unit is years but the input data uses dates. Examples are actuarial mortality experience analysis and valuation of life assurance and annuities, for which mortality rates are defined per year but experience and valuation data are typically defined using dates.
License: MIT + file LICENSE
URL: https://github.com/logmu-org/r-datey, https://r-datey.logmu.org/
BugReports: https://github.com/logmu-org/r-datey/issues
Depends: R (>= 4.0.0)
Suggests: knitr, pillar, rmarkdown, testthat (>= 3.0.0)
LinkingTo: cpp11
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-07-01 10:40:08 UTC; Tim Gordon
Author: Tim Gordon [aut, cre]
Maintainer: Tim Gordon <tim.gordon@btinternet.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:15 UTC

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New package data4health with initial version 0.1.1
Package: data4health
Title: A Practical Workflow for Health Data Wrangling
Version: 0.1.1
Description: Provides a streamlined workflow for cleaning, transforming, filtering, aggregating, and exporting epidemiological line list data. The package is designed for public health surveillance and clinical datasets where each row represents an individual case. It supports common data-wrangling tasks and multi-format data import/export (e.g., 'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are designed to be combined into a clear and reproducible pipeline while remaining flexible enough for use in standalone data-processing steps. 'data4health' is part of the '4health' toolkit, which integrates health, climate, land-use, and socioeconomic data workflows. More information on the '4health' tools can be found on the HARMONIZE website <https://harmonize-tools.org/toolkits>.
Imports: foreign, readxl, writexl, shiny, jsonlite, GHRexplore, lubridate, plotly, shinyAce
BugReports: https://gitlab.earth.bsc.es/ghr/data4health/-/issues
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://bsc-es.github.io/GHRtools/docs/data4health/data4health.html
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), shinytest2, withr
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-01 07:03:03 UTC; dluhrsen
Author: Daniela Luehrsen [aut, cre] , Carles Mila [aut] , Raquel Lana [aut] , Rachel Lowe [aut] , Mark Adler [cph] , Daniela Petruzalek [cph]
Maintainer: Daniela Luehrsen <daniela.luhrsen@bsc.es>
Repository: CRAN
Date/Publication: 2026-07-07 09:40:08 UTC

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New package BORT with initial version 0.1.0
Package: BORT
Title: Beyond Pareto: Bi-Objective and Multi-Objective Regression Trees’
Version: 0.1.0
Author: Erick G.G. de Paz [aut, cre] , Arturo Hernandez-Aguirre [aut] , Ivan Cruz-Aceves [aut]
Maintainer: Erick G.G. de Paz <erick.giles@cimat.mx>
Description: Implements the Bi-objective Regression Tree (BORT) for efficiently learning vector-valued functions. Unlike traditional methods that rely on constructing multiple models or static scalarisation, BORT integrates the exploration of the Pareto front directly into a single tree's growth process. It provides high-efficiency, single-model approaches that can Pareto-dominate entire Pareto-consistent families of trees, supported by a C backend for fast computation. For more details see Paz (2026) <doi:10.1007/978-3-032-28393-1_2> and Paz (2025) <doi:10.1007/978-3-031-78401-9_2>.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Date: 2026-07-01
Depends: R (>= 2.10.0)
Packaged: 2026-07-01 23:27:53 UTC; erick
Date/Publication: 2026-07-07 09:50:08 UTC

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New package arcgisrouting with initial version 1.0.0
Package: arcgisrouting
Title: Access the ArcGIS Routing and Network Analysis Services
Version: 1.0.0
Description: Bindings to the ArcGIS Routing REST API (<https://developers.arcgis.com/rest/routing/>) for solving network analysis problems. Plan routes and generate driving directions, measure travel time and distance with origin-destination cost matrices, build service areas, find the closest facilities, route fleets of vehicles, and snap GPS tracks to roads. Both synchronous requests and asynchronous geoprocessing jobs are supported, returning simple features ('sf') objects ready for analysis and mapping.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en
Imports: arcgisutils, cli, httr2, sf, yyjsonr, vctrs, RcppSimdJson, rlang, hms
Depends: R (>= 4.3)
Suggests: readr, heck, brio, wk, testthat (>= 3.0.0)
URL: http://r.esri.com/arcgisrouting/, https://github.com/r-arcgis/arcgisrouting
BugReports: https://github.com/r-arcgis/arcgisrouting/issues
NeedsCompilation: yes
Packaged: 2026-06-30 21:55:24 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:21 UTC

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New package actiread with initial version 0.2.0
Package: actiread
Title: Baseline Package for Reading Actigraphy and Activity Data
Version: 0.2.0
Description: Provides baseline functions for reading actigraphy and activity data, relying on baseline functions from 'actibase'. Reads data from 'Axivity' 'CWA' <https://axivity.com/> , ActiGraph 'GT3X' <https://ametris.com/actigraph-wgt3x-bt>, 'SensorLog' <https://sensorlog.berndthomas.net/>, and 'SensorLogger' <https://www.tszheichoi.com/sensorlogger> zipped CSV files.
License: GPL-3
Depends: R (>= 2.10)
Suggests: testthat, utils, covr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
Imports: actibase, GGIRread, read.gt3x (>= 0.2.0), R.utils, magrittr, dplyr, lubridate, assertthat, cli, tibble, janitor, purrr, readr, methods
URL: https://jhuwit.github.io/actiread/
BugReports: https://github.com/jhuwit/actiread/issues
NeedsCompilation: no
Packaged: 2026-07-01 14:47:25 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:10:02 UTC

More information about actiread at CRAN
Permanent link

Package scholar updated to version 1.0.0 with previous version 0.2.6 dated 2026-02-26

Title: Analyse Citation Data from Google Scholar
Description: Provides tools to retrieve, analyse, and format publication and citation data from Google Scholar profiles. It supports profile lookup, publication records, citation histories, scholar comparison, coauthor networks, journal ranking queries, CV-ready publication lists, and citation metric summaries.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between scholar versions 0.2.6 dated 2026-02-26 and 1.0.0 dated 2026-07-07

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Package microeco updated to version 2.3.0 with previous version 2.2.0 dated 2026-05-14

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

Diff between microeco versions 2.2.0 dated 2026-05-14 and 2.3.0 dated 2026-07-07

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New package EpiScopeK with initial version 0.1.1
Package: EpiScopeK
Title: Comprehensive Epidemiological Analysis Toolkit
Version: 0.1.1
Description: Provides a unified framework for epidemiological data analysis and disease surveillance. The package supports descriptive epidemiology, incidence, prevalence and mortality estimation, age standardization, trend analysis, geographic summaries, disease risk prediction, and automated analytical workflows. Designed for researchers and public health professionals, it facilitates reproducible analyses of epidemiological datasets using established statistical and predictive modeling techniques. Methods are informed by standard epidemiological references including Rothman et al. (2008, ISBN:9780781755641) and Gordis (2014, ISBN:9781455737338).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang
Suggests: testthat
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-01 11:34:53 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 08:40:02 UTC

More information about EpiScopeK at CRAN
Permanent link

Package aplot updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-23

Title: Decorate a 'ggplot' with Associated Information
Description: Supports data-driven composition of a main plot with associated subplots that need precise axis alignment. Unlike general layout-focused tools such as 'cowplot' and 'patchwork', it enables related subplots to be integrated on the top, bottom, left, or right sides of a main plot with matched axes, so that the combined panels can be interpreted as a coherent whole. This design was inspired by the 'Method 2' described in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>).
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package HDTSA updated to version 1.0.6-2 with previous version 1.0.6-1 dated 2026-06-23

Title: High Dimensional Time Series Analysis Tools
Description: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>, martingale difference test proposed by Chang, Jiang and Shao (2023) <doi:10.1016/j.jeconom.2022.09.001>, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, cointegration analysis proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2022) <doi:10.1093/biomet/asab034>, white noise tests proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066> and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) <doi:10.1093/jrsssb/qkac011> and Chang et al. (2026+) <doi:10.48550/arXiv.2410.05634>, CP-decomposition for tensor ti [...truncated...]
Author: Jinyuan Chang [aut], Jing He [aut], Chen Lin [aut, cre], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

Diff between HDTSA versions 1.0.6-1 dated 2026-06-23 and 1.0.6-2 dated 2026-07-07

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Package aifeducation updated to version 1.1.6 with previous version 1.1.5 dated 2026-04-25

Title: Artificial Intelligence for Education
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'PyTorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases [...truncated...]
Author: Berding Florian [aut, cre] , Tykhonova Yuliia [aut] , Pargmann Julia [ctb] , Leube Anna [ctb] , Riebenbauer Elisabeth [ctb] , Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package valdrViz updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-20

Title: Visualise and Report 'VALD ForceDecks' Test Results
Description: Provides a 'shiny' dashboard and plotting utilities to explore and report 'VALD ForceDecks' testing data. Includes interactive modules for metric exploration, radar charts, longitudinal comparisons, quadrant plots, and athlete reports.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

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Package ggrefine updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-04

Title: Publication-Quality 'ggplot2' Themes
Description: Complete themes for publication-quality 'ggplot2' visualisation. Also provides functions to modify these based on the positional axis scales and orientation of a particular plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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