Sun, 05 Apr 2026

Package sensobol updated to version 1.1.8 with previous version 1.1.6 dated 2025-07-24

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

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Package eventstudyr updated to version 1.2.0 with previous version 1.1.4 dated 2025-07-03

Title: Estimation and Visualization of Linear Panel Event Studies
Description: Estimates linear panel event study models. Plots coefficients following the recommendations in Freyaldenhoven et al. (2021) <doi:10.3386/w29170>. Includes sup-t bands, testing for key hypotheses, least wiggly path through the Wald region. Allows instrumental variables estimation following Freyaldenhoven et al. (2019) <doi:10.1257/aer.20180609>.
Author: Simon Freyaldenhoven [aut], Christian Hansen [aut], Jorge Perez Perez [aut], Jesse Shapiro [aut], Veli Andirin [aut], Richard Calvo [aut], Santiago Hermo [aut, cre], Nathan Schor [aut], Emily Wang [aut], JMSLab [cph], Ryan Kessler [cph]
Maintainer: Santiago Hermo <santiago.hermo@monash.edu>

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Package WDI updated to version 2.7.10 with previous version 2.7.9 dated 2025-03-22

Title: World Development Indicators and Other World Bank Data
Description: Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Author: Vincent Arel-Bundock [aut, cre] , Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package survinger updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-02

Title: Design-Adjusted Inference for Pathogen Lineage Surveillance
Description: Provides tools for optimizing sequencing resource allocation and estimating pathogen lineage prevalence under real-world genomic surveillance conditions. Implements constrained allocation optimization for limited sequencing capacity across multiple regions and sample sources. Includes Horvitz-Thompson and post-stratified estimators that account for unequal sequencing rates, delay-adjusted nowcasting for right-censored reporting data, and combined design-weighted delay-corrected inference with uncertainty propagation.
Author: Cuiwei Gao [aut, cre, cph]
Maintainer: Cuiwei Gao <48gaocuiwei@gmail.com>

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Package scregclust updated to version 0.2.3 with previous version 0.2.2 dated 2025-07-27

Title: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Description: Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
Author: Felix Held [aut, cre] , Ida Larsson [aut] , Sven Nelander [aut] , Andre Armatowski [ctb]
Maintainer: Felix Held <felix.held@gmail.com>

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Package MAIHDA updated to version 0.1.7 with previous version 0.1.0 dated 2026-04-03

Title: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
Description: Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.018> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
Author: Hamid Bulut [aut, cre]
Maintainer: Hamid Bulut <me@hamidbulut.com>

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Package statsExpressions updated to version 1.7.4 with previous version 1.7.3 dated 2026-02-05

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package yyjsonr updated to version 0.1.22 with previous version 0.1.21 dated 2025-06-02

Title: Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator
Description: A fast 'JSON' parser, generator and validator which converts 'JSON', 'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from 'JSON'. 'GeoJSON' data is read in as 'simple features' objects. This implementation wraps the 'yyjson' 'C' library which is available from <https://github.com/ibireme/yyjson>.
Author: Mike Cheng [aut, cre, cph], Yao Yuan [aut, cph] , Murat Tasan [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package topologyR updated to version 0.2.0 with previous version 0.1.2 dated 2026-01-22

Title: Topological Connectivity Analysis for Numeric Data
Description: Topological data analysis methods based on graph-theoretic approaches for discovering topological structures in data. Constructs topological spaces from graphs following Nada et al. (2018) <doi:10.1002/mma.4726>, with visibility graph construction for time series following Lacasa et al. (2008) <doi:10.1073/pnas.0709247105>. Supports directed visibility graphs for bitopological analysis of temporal irreversibility (Kelly, 1963), and Alexandrov topology construction from reachability preorders.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

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Package saber updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-30

Title: Code Analysis and Project Context for R
Description: Parses R source files into Abstract Syntax Tree (AST) symbol indices, traces function callers across projects, discovers project dependency graphs, generates project briefings, and provides package introspection tools. Designed for AI coding agents that need structured code understanding.
Author: Troy Hernandez [aut, cre]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package caustests updated to version 1.1.1 with previous version 1.0.2 dated 2026-03-12

Title: Multiple Granger Causality Tests for Time Series and Panel Data
Description: Comprehensive suite of Granger causality tests for time series and panel data. For time series: Toda-Yamamoto (1995) <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and cumulative frequencies (Nazlioglu et al., 2019) <doi:10.1080/1540496X.2018.1434072>, quantile causality tests (Cai et al., 2023) <doi:10.1016/j.frl.2023.104327>, and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) <doi:10.1007/s12076-020-00263-0>. For panel data: Panel Fourier Toda-Yamamoto (Yilanci and Gorus, 2020) <doi:10.1007/s11356-020-10092-9> and Panel Quantile Causality tests (Wang and Nguyen, 2022) <doi:10.1080/1331677X.2021.1952089>, as well as Group-Mean and Pooled Fully Modified OLS estimators for panel cointegrating polynomial regressions (Wagner and Reichold, 2023) <doi:10.1080/07474938.2023.2178141>. All tests include bootstrap inference for robust p-valu [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package aramappings readmission to version 0.2.0 with previous version 0.1.3 dated 2026-01-29

Title: Computes Adaptable Radial Axes Mappings
Description: Computes low-dimensional point representations of high-dimensional numerical data according to the data visualization method Adaptable Radial Axes described in: Manuel Rubio-Sánchez, Alberto Sanchez, and Dirk J. Lehmann (2017) "Adaptable radial axes plots for improved multivariate data visualization" <doi:10.1111/cgf.13196>.
Author: Manuel Rubio-Sanchez [aut, cre, cph] , Dirk J. Lehmann [ctb] , Miguel Angel Munoz Mohedano [ctb] , Alberto Sanchez Campos [ctb] , Cristina Soguero-Ruiz [ctb]
Maintainer: Manuel Rubio-Sanchez <manuel.rubio@urjc.es>

This is a re-admission after prior archival of version 0.1.3 dated 2026-01-29

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Package lava updated to version 1.9.0 with previous version 1.8.2 dated 2025-10-30

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between lava versions 1.8.2 dated 2025-10-30 and 1.9.0 dated 2026-04-05

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Package ggmulti updated to version 1.0.9 with previous version 1.0.8 dated 2025-10-08

Title: High Dimensional Data Visualization
Description: It provides materials (i.e. 'serial axes' objects, Andrew's plot, various glyphs for scatter plot) to visualize high dimensional data.
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut], Teun van den Brand [ctb]
Maintainer: Zehao Xu <z267xu@gmail.com>

Diff between ggmulti versions 1.0.8 dated 2025-10-08 and 1.0.9 dated 2026-04-05

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Package fude updated to version 0.4.1 with previous version 0.4.0 dated 2026-03-01

Title: Utilities for Fude Polygon
Description: Provides utilities to facilitate handling of Fude Polygon data downloadable from the Ministry of Agriculture, Forestry and Fisheries website <https://open.fude.maff.go.jp>.
Author: Takeshi Nishimura [aut, cph, cre]
Maintainer: Takeshi Nishimura <takenishi@gmail.com>

Diff between fude versions 0.4.0 dated 2026-03-01 and 0.4.1 dated 2026-04-05

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More information about fude at CRAN
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