Sat, 23 May 2026

Package allometry updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-17

Title: Examples of Datasets on Allometry
Description: Examples of datasets on allometry, the study of the relationship of biological traits to body size. This package contains the datasets of morphological measurement taken from 113 maritime earwigs (Anisolabis maritima) by Matsuzawa and Konuma (2025) <doi:10.1093/biolinnean/blaf031>, and taken from 507 Helm’s stag beetles (Geodorcus helmsi) collected by Grey et al. (2025) <doi:10.1093/biolinnean/blae024>.
Author: Takeshi Abe [aut, cre]
Maintainer: Takeshi Abe <tabe@fixedpoint.jp>

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Package PathwaySpace updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-25

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) <doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025) <doi:10.1016/j.ccell.2024.12.002>.
Author: Sysbiolab Team [aut], Victor Apolonio [ctb], Jonathan Back [ctb], Lana Querne [ctb], Vinicius Chagas [ctb], Bahar Tercan [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package ggdiagram updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-14

Title: Object-Oriented Diagram Plots with 'ggplot2'
Description: Creates diagrams with an object-oriented approach. Geometric objects have computed properties with information about themselves (e.g., their area) or about their relationships with other objects (e.g, the distance between their edges). The objects have methods to convert them to geoms that can be plotted in 'ggplot2'.
Author: W. Joel Schneider [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package RTL updated to version 1.3.9 with previous version 1.3.7 dated 2025-02-25

Title: Risk Tool Library - Trading, Risk, Analytics for Commodities
Description: A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to <https://www.zema.global/platforms/zema-marketplace>, <https://developer.genscape.com/>, and <https://www.bankofcanada.ca/valet/docs>.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

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Package QCAcluster readmission to version 0.2.0 with previous version 0.1.0 dated 2021-10-26

Title: Tools for the Analysis of Clustered Data in QCA
Description: Clustered set-relational data in Qualitative Comparative Analysis (QCA) can have a hierarchical structure, a panel structure or repeated cross sections. 'QCAcluster' allows researchers to supplement the analysis of pooled the data with a differentiated perspective focusing on selected partitions of the data. The pooled data can be partitioned along the dimensions of the clustered data (individual cross sections or time series) to perform partition-specific truth table minimization. Empirical researchers can further calculate the weight that each partition has on the parameters of the pooled solution and the diversity of the cases under analysis within and across partitions (see <https://ingorohlfing.github.io/QCAcluster/>).
Author: Ingo Rohlfing [aut, cre] , Ayjeren Bekmuratovna [aut], Jan Schwalbach [aut]
Maintainer: Ingo Rohlfing <ingo.rohlfing@uni-passau.de>

This is a re-admission after prior archival of version 0.1.0 dated 2021-10-26

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Package highMLR updated to version 1.0.1 with previous version 0.1.1 dated 2022-07-18

Title: Machine Learning Feature Selection for High Dimensional Survival Data
Description: A unified, flexible framework for high dimensional feature selection in the presence of a survival outcome. Provides multiple machine learning approaches (Cox elastic net, random survival forest, accelerated oblique random survival forest, gradient-boosted Cox, stability selection, classical univariate Cox screening, pseudo- observation bridging to arbitrary regression learners, and Fine-Gray competing risks selection) under a single interface. Adds causal survival forest estimation of heterogeneous treatment effects on survival (experimental), conformal survival prediction with finite- sample coverage guarantees, and time-dependent 'SHAP' explanations via 'SurvSHAP(t)'. Methodology is based on regularised Cox regression (2011) <doi:10.18637/jss.v039.i05>, random survival forests (2008) <doi:10.1214/08-AOAS169>, oblique random survival forests (2024) <doi:10.1080/10618600.2023.2231048>, stability selection (2010) <doi:10.1111/j.1467-9868.2010.00740.x>, causal su [...truncated...]
Author: Atanu Bhattacharjee [aut, cre]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

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Package voluModel readmission to version 0.2.4 with previous version 0.2.3 dated 2025-07-18

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre, cph] , Emmaline Sheahan [aut] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

This is a re-admission after prior archival of version 0.2.3 dated 2025-07-18

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Package verifyr2 updated to version 1.2.0 with previous version 1.1.0 dated 2026-01-08

Title: Compare and Verify File Contents
Description: Extendable 'R6' file comparison classes, including a 'shiny' app for combining the comparison functionality into a file comparison application. The package idea originates from pharma companies' drug development processes, where statisticians and statistical programmers need to review and compare different versions of the same outputs and datasets. The package implementation itself is not tied to any specific industry and can be used in any context for easy file comparisons between different file version sets.
Author: Juha Javanainen [aut, cre], Tiina Kirsilae [ctb], Anna Wiksten [ctb]
Maintainer: Juha Javanainen <ejuhjav@gmail.com>

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Package spatstat.geom updated to version 3.8-1 with previous version 3.7-3 dated 2026-03-23

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SpaDES.core updated to version 3.1.2 with previous version 3.1.0 dated 2026-05-19

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies.
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package serieshaz updated to version 0.2.0 with previous version 0.1.1 dated 2026-04-13

Title: Series System Distributions from Dynamic Failure Rate Components
Description: Compose multiple dynamic failure rate distributions into series system distributions where the system hazard equals the sum of component hazards. Supports hazard, survival, cumulative distribution function, density, sampling, and maximum likelihood estimation fitting via the dfr_dist() class from 'flexhaz'. Series distributions implement the 'dist.structure' protocol so structural queries (phi, min_paths, min_cuts, system_signature, structural importance, reliability, dual) and the importance measures from 'dist.structure' work directly on serieshaz objects. Methods for series system reliability follow Barlow and Proschan (1975, ISBN:0898713692).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package qtlcharts updated to version 0.20 with previous version 0.18 dated 2025-05-10

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits. Broman (2015) <doi:10.1534/genetics.114.172742>.
Author: Karl W Broman [aut, cre] , Michael Bostock [ctb, cph] , jQuery Foundation [cph] , jQuery contributors [ctb] , jQuery UI contributors [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package PublicationBiasBenchmark updated to version 0.2.1 with previous version 0.2.0 dated 2026-03-16

Title: Benchmark for Publication Bias Correction Methods
Description: Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Author: Frantisek Bartos [aut, cre] , Samuel Pawel [aut] , Bjoern S. Siepe [aut] , Petr Čala [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package otargen updated to version 2.0.1 with previous version 2.0.0 dated 2025-07-15

Title: Access Open Target
Description: Interact seamlessly with Open Target GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of gene, disease, drug, and genetic data. For more information about the Open Target API (<https://platform.opentargets.org/api>).
Author: Amir Feizi [aut, cre]
Maintainer: Amir Feizi <afeizi@gmail.com>

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Package mdbr updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-12

Title: Work with Microsoft Access Files
Description: Work with Microsoft Access '.mdb' and '.accdb' files using the open source 'MDB Tools' library <https://github.com/mdbtools/mdbtools/>. The library is compiled and bundled with the package, so no external installation is required. Provides high-level helpers for reading tables, exporting to CSV or JSON, inspecting table definitions, and running SQL queries. Also exposes a full read-only 'DBI' interface for use with standard database workflows.
Author: Kiernan Nicholls [aut, cre, cph] , Bruno Tremblay [ctb]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

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Package lpdensity updated to version 3.0.1 with previous version 3.0 dated 2026-05-21

Title: Local Polynomial Density Estimation and Inference
Description: Implements local polynomial distribution and density methods for point estimation, inference and bandwidth selection, documented in Cattaneo, Jansson and Ma (2020) <doi:10.1080/01621459.2019.1635480>, Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>, and Cattaneo, Jansson and Ma (2024) <doi:10.1016/j.jeconom.2021.01.006>. lpdensity() constructs local polynomial distribution and density estimators with robust bias-corrected inference, and lpbwdensity() implements data-driven bandwidth selection.
Author: Matias D. Cattaneo [aut, cre], Michael Jansson [aut], Xinwei Ma [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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New package impARI with initial version 0.0.3
Package: impARI
Title: Improving Permutation-Based All-Resolutions Inference ('impARI')
Version: 0.0.3
Date: 2026-05-20
Description: The goal is to improve a permutation-based approach (R package: 'pARI') for simultaneous inference on the true discovery proportion by a branch-and-bound algorithm. It is designed to return a list with a bracketing for the true discovery proportion, rather than a single lower bound from 'pARI'. For more details see Andreella. A (2023) <doi:10.1002/sim.9725>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-21 04:04:43 UTC; ningn
Author: Ningning Xu [aut, cre]
Maintainer: Ningning Xu <ningningxu312@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-23 11:20:08 UTC

More information about impARI at CRAN
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Package igoR updated to version 1.0.2 with previous version 1.0.1 dated 2026-03-13

Title: Access the Intergovernmental Organizations Database
Description: Tools for searching, extracting and recoding information from the Intergovernmental Organizations ('IGO') Database (v3), distributed by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020) <doi:10.1177/0022343319881175>.
Author: Diego Hernangomez [aut, cre, cph] , The Correlates of War Project [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package hydroloom updated to version 1.2.0 with previous version 1.1.2 dated 2026-02-20

Title: Utilities to Weave Hydrologic Fabrics
Description: A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.
Author: David Blodgett [aut, cre] , Andrew Psoras [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between hydroloom versions 1.1.2 dated 2026-02-20 and 1.2.0 dated 2026-05-23

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Package gapclosing readmission to version 1.0.3 with previous version 1.0.2 dated 2021-10-11

Title: Estimate Gaps Under an Intervention
Description: Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in the accompanying paper: <doi:10.1177/00491241211055769>.
Author: Ian Lundberg [aut, cre]
Maintainer: Ian Lundberg <ianlundberg@ucla.edu>

This is a re-admission after prior archival of version 1.0.2 dated 2021-10-11

Diff between gapclosing versions 1.0.2 dated 2021-10-11 and 1.0.3 dated 2026-05-23

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Package fcmfd updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-05

Title: Fuzzy C-Means for Fuzzy Data
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>

Diff between fcmfd versions 0.1.0 dated 2026-05-05 and 0.1.1 dated 2026-05-23

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Package DSIR updated to version 0.7.1 with previous version 0.7.0 dated 2026-05-21

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

Diff between DSIR versions 0.7.0 dated 2026-05-21 and 0.7.1 dated 2026-05-23

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Package couplr updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-18

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package BlockMissingData readmission to version 0.1.1 with previous version 0.1.0 dated 2023-09-12

Title: Integrating Multi-Source Block-Wise Missing Data in Model Selection
Description: Model selection method with multiple block-wise imputation for block-wise missing data; see Xue, F., and Qu, A. (2021) <doi:10.1080/01621459.2020.1751176>.
Author: Fei Xue [aut, cre], Annie Qu [aut]
Maintainer: Fei Xue <feixue@purdue.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2023-09-12

Diff between BlockMissingData versions 0.1.0 dated 2023-09-12 and 0.1.1 dated 2026-05-23

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Package biomod2 updated to version 4.3-4-6 with previous version 4.3-4-5 dated 2026-01-30

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Author: Maya Gueguen [aut, cre], Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

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Package mets updated to version 1.3.10 with previous version 1.3.9 dated 2026-01-11

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 1.3.9 dated 2026-01-11 and 1.3.10 dated 2026-05-23

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More information about mets at CRAN
Permanent link

Package shinyOAuth updated to version 0.5.0 with previous version 0.4.0 dated 2026-02-14

Title: Provider-Agnostic OAuth Authentication for 'shiny' Applications
Description: Provides a simple, configurable, provider-agnostic 'OAuth 2.0' and 'OpenID Connect' (OIDC) authentication framework for 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval, asynchronous flows, and hooks for audit logging.
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>

Diff between shinyOAuth versions 0.4.0 dated 2026-02-14 and 0.5.0 dated 2026-05-23

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Package tsgarch updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-11

Title: Univariate GARCH Models
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package RSQLite updated to version 3.53.1 with previous version 3.52.0 dated 2026-05-10

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package rpymat updated to version 0.1.9 with previous version 0.1.8 dated 2025-07-22

Title: Easy to Configure an Isolated 'Python' Environment
Description: Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Author: Zhengjia Wang [cph, aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package readNSx updated to version 0.0.7 with previous version 0.0.6 dated 2025-10-24

Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package rd2d updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-14

Title: Estimation and Inference for Boundary Discontinuity Designs
Description: Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs, a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores. Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs, data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods. For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>. The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Ruiqi Rae Yu [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package ravetools updated to version 0.2.5 with previous version 0.2.4 dated 2025-09-10

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlage [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package maskedcauses updated to version 0.10.0 with previous version 0.9.3 dated 2026-03-17

Title: Likelihood Models for Systems with Masked Component Cause of Failure
Description: Maximum likelihood estimation for series systems where the component cause of failure is masked. Implements analytical log-likelihood, score, and Hessian functions for exponential, homogeneous Weibull, and heterogeneous Weibull component lifetimes under masked cause conditions (C1, C2, C3). Supports exact, right-censored, left-censored, and interval-censored observations via composable observation functors. Provides random data generation, model fitting, and Fisher information for asymptotic inference. See Lin, Loh, and Bai (1993) <doi:10.1109/24.257799> and Craiu and Reiser (2006) <doi:10.1111/j.1541-0420.2005.00498.x>.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

Diff between maskedcauses versions 0.9.3 dated 2026-03-17 and 0.10.0 dated 2026-05-23

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Package flexhaz updated to version 0.5.2 with previous version 0.5.1 dated 2026-03-19

Title: Dynamic Failure Rate Distributions for Survival Analysis
Description: Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

Diff between flexhaz versions 0.5.1 dated 2026-03-19 and 0.5.2 dated 2026-05-23

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More information about flexhaz at CRAN
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Package filearray updated to version 0.2.2 with previous version 0.2.1 dated 2026-03-23

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between filearray versions 0.2.1 dated 2026-03-23 and 0.2.2 dated 2026-05-23

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Package elfgen updated to version 2.3.5 with previous version 2.3.4 dated 2025-11-28

Title: Ecological Limit Function Model Generation and Analysis Toolkit
Description: A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the 'elfgen' framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).
Author: Joseph Kleiner [aut] , Robert Burgholzer [ctb] , Connor Brogan [cre]
Maintainer: Connor Brogan <connor.brogan@deq.virginia.gov>

Diff between elfgen versions 2.3.4 dated 2025-11-28 and 2.3.5 dated 2026-05-23

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Permanent link

Package dipsaus updated to version 0.3.5 with previous version 0.3.4 dated 2026-03-20

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between dipsaus versions 0.3.4 dated 2026-03-20 and 0.3.5 dated 2026-05-23

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Package Compositional updated to version 8.2 with previous version 8.1 dated 2026-02-17

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data--based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451>. b) Tsagris M. (2014). "The k--NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv. [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Compositional versions 8.1 dated 2026-02-17 and 8.2 dated 2026-05-23

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 man/ice.aknnreg.Rd           |   10 ++--
 man/ice.kernreg.Rd           |    4 -
 man/ice.pprcomp.Rd           |    4 -
 man/ternary.coefcr.Rd        |    5 --
 50 files changed, 199 insertions(+), 233 deletions(-)

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