Thu, 01 Oct 2026

Package arulesCBA updated to version 1.2.10 with previous version 1.2.9 dated 2025-11-14

Title: Classification Based on Association Rules
Description: Provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers. Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.
Author: Michael Hahsler [aut, cre, cph] , Ian Johnson [aut, cph], Tyler Giallanza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package PanelMatch updated to version 3.1.5 with previous version 3.1.3 dated 2025-12-13

Title: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data
Description: Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2023) <https://web.mit.edu/insong/www/pdf/tscs.pdf> proposes a nonparametric generalization of the difference-in-differences estimator, which does not rely on the linearity assumption as often done in practice. Researchers first select a method of matching each treated observation for a given unit in a particular time period with control observations from other units in the same time period that have a similar treatment and covariate history. These methods include standard matching methods based on propensity score and Mahalanobis distance, as well as weighting methods. Once matching and refinement is done, treatment effects can be estimated with standard errors. The package also offers diagnostics for researchers to assess the quality of their results.
Author: In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut]
Maintainer: In Song Kim <insong@mit.edu>

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Package mgwrsar updated to version 1.4.1 with previous version 1.3.2 dated 2026-03-03

Title: GWR, Mixed GWR with Spatial Autocorrelation and Multiscale GWR/GTWR (Top-Down Scale Approaches)
Description: Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.
Author: Ghislain Geniaux [aut, cre], Davide Martinetti [aut], Cesar Martinez [aut]
Maintainer: Ghislain Geniaux <ghislain.geniaux@inrae.fr>

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Package lgrdata updated to version 0.1.2 with previous version 0.1.1 dated 2019-06-19

Title: Example Datasets for a Learning Guide to R
Description: A collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
Author: Remko Duursma [aut, cre], Jeff Powell [ctb]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

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Package laOpenData updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-16

Title: Convenient Access to Los Angeles Open Data API Endpoints
Description: Provides simple, reproducible access to datasets from the Los Angeles Open Data portal <https://data.lacity.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API.
Author: Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>

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Package causalreg updated to version 0.3.0 with previous version 0.1.2 dated 2026-03-01

Title: Causal Generalized Linear Models
Description: An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.
Author: Veronica Vinciotti [aut, cre], Ernst C. Wit [aut], Francisco Richter [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@unitn.it>

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Package treebalance updated to version 1.2.2 with previous version 1.2.0 dated 2023-12-14

Title: Computation of Tree (Im)Balance Indices
Description: The aim of the 'R' package 'treebalance' is to provide functions for the computation of a large variety of (im)balance indices for rooted trees. The package accompanies the book ''Tree Balance Indices - A Comprehensive Survey'' by M. Fischer, L. Herbst, S. Kersting, L. Kuehn and K. Wicke (2023) <doi:10.1007/978-3-031-39800-1>, which gives a precise definition for the terms 'balance index' and 'imbalance index' (Chapter 4) and provides an overview of the terminology in this manual (Chapter 2). For further information on (im)balance indices, see also Fischer et al. (2021) <https://treebalance.wordpress.com>. Considering both established and new (im)balance indices, 'treebalance' provides (among others) functions for calculating the following 18 established indices and index families: the average leaf depth, the B1 and B2 index, the Colijn-Plazzotta rank, the normal, corrected, quadratic and equal weights Colless index, the family of Colless-like indices, the family of I-based [...truncated...]
Author: Mareike Fischer [aut] , Lina Herbst [aut] , Sophie Kersting [aut, cre] , Luise Kuehn [aut] , Kristina Wicke [aut]
Maintainer: Sophie Kersting <treebalanceindices@gmail.com>

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Package r02pro updated to version 0.2.1 with previous version 0.2 dated 2023-05-31

Title: R Programming: Zero to Pro
Description: This is a companion package of the book "R Programming: Zero to Pro" <https://r02pro.github.io/>. It contains the datasets used in the book and provides interactive exercises corresponding to the book. It covers a wide range of topics including visualization, data transformation, tidying data, data input and output.
Author: Yang Feng [aut, cre], Jianan Zhu [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>

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Package minter updated to version 0.2.0 with previous version 0.1.1 dated 2026-05-03

Title: Effect Sizes for Meta-Analysis of Interactions from Factorial Experiments
Description: Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.
Author: Facundo Decunta [aut, cre] , Shinichi Nakagawa [ctb], Daniel Noble [ctb]
Maintainer: Facundo Decunta <fdecunta@agro.uba.ar>

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Package INLAvaan updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-21

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

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Package foundryR updated to version 1.0.0 with previous version 0.1.0 dated 2026-09-24

Title: Data Frame Workflows for 'Microsoft Foundry'
Description: Work with 'Microsoft Foundry' from data-frame-oriented 'R' workflows. Provides data-frame-returning helpers for 'Azure AI Content Safety', 'Azure OpenAI' Responses API calls, strict structured extraction, vector representations, files, batch jobs, audio, media, and chat completions. Supports research annotation, safety gates, semantic search, and 'tidymodels' recipes. Helps teams keep model workflows inside their 'Azure' environment while preserving analyzable outputs. See the Microsoft Foundry REST API documentation <https://learn.microsoft.com/rest/api/microsoft-foundry/> and Azure AI Content Safety documentation <https://learn.microsoft.com/azure/ai-services/content-safety/>.
Author: Alex Farach [aut, cre, cph]
Maintainer: Alex Farach <alexfarach@microsoft.com>

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Package circuitscaper updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-09

Title: 'Circuitscape' and 'Omniscape' Connectivity Analysis via 'Julia'
Description: Provides an R-native interface to the 'Circuitscape.jl' and 'Omniscape.jl' 'Julia' packages for landscape connectivity modeling using circuit theory. Users work entirely in R with familiar objects (SpatRaster, file paths) while 'Julia' handles computation invisibly. Supports all four 'Circuitscape' modes (pairwise, one-to-all, all-to-one, advanced) and 'Omniscape' moving-window analysis. Methods are described in McRae (2006) <doi:10.1111/j.0014-3820.2006.tb00500.x> and Landau et al. (2021) <doi:10.21105/joss.02829>.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package semrulesid updated to version 0.4.2 with previous version 0.4.1 dated 2026-09-26

Title: Evaluate Structural Equation Model Identification Rules
Description: Evaluates selected necessary and sufficient identification conditions in structural equation models (SEMs), including latent-variable scaling constraints. Output reports rule status and applicability and provides diagnostic messages to support model specification and respecification. The package is intended as a diagnostic aid and does not implement a universal identification algorithm. For more details, see Bollen (2026, ISBN:978-1009312820).
Author: Zach Vig [aut, cre, cph]
Maintainer: Zach Vig <zachvig@rocketmail.com>

Diff between semrulesid versions 0.4.1 dated 2026-09-26 and 0.4.2 dated 2026-10-01

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Package pagerankr updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-28

Title: Modular Toolkit for PageRank Calculation
Description: Provides a set of modular, pipeable functions to calculate PageRank scores from edge lists and redirect reports, common in SEO analysis. Functions handle URL cleaning, redirect resolution, edge deduplication, isolate handling, and PageRank computation using base R for data manipulation and 'igraph' for core PageRank calculation.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

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Package NACHO updated to version 2.0.8 with previous version 2.0.7 dated 2026-09-27

Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Author: Mickael Canouil [aut, cre] , Roderick Slieker [aut] , Gerard Bouland [aut]
Maintainer: Mickael Canouil <pro@mickael.canouil.dev>

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Package cleanrmd updated to version 0.2.0 with previous version 0.1.1 dated 2023-05-19

Title: Clean Class-Less 'R Markdown' HTML Documents
Description: A collection of clean 'R Markdown' HTML document templates using classy-looking classless CSS styles. These documents use a minimal set of dependencies but still look great, making them suitable for use a package vignettes or for sharing results via email.
Author: Garrick Aden-Buie [aut, cre, cph] , Igor Adamenko [ctb, cph] , Alvaro Montoro [ctb, cph] , Vladimir Carrer [ctb, cph] , Ty Bolt [ctb, cph] , Ruan Martinelli [ctb, cph] , Tran Ngoc Tuan Anh [ctb, cph] , Marco Pontili [ctb, cph] , Emanuel Regnath [ctb, [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package AGHmatrix updated to version 3.0.3 with previous version 3.0.1 dated 2026-07-22

Title: Relationship Matrices for Diploid and Autopolyploid Species
Description: Fast computation of A (pedigree), G (genomic-base), and H (A corrected by G) relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models.
Author: Rodrigo Amadeu [aut, cre], Luis Ferrao [aut, ctb], Thiago Oliveira [aut, ctb], Catherine Cellon [ctb], Leticia Lara [ctb], Marcio Resende [ctb], Ivone Oliveira [ctb], Patricio Munoz [ctb], Augusto Garcia [ctb]
Maintainer: Rodrigo Amadeu <rramadeu@gmail.com>

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Package rqti updated to version 1.3.1 with previous version 1.3.0 dated 2026-09-21

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

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Package realestatebr updated to version 1.2.0 with previous version 1.0.1 dated 2026-06-05

Title: Import Brazilian Real Estate Data into R
Description: Provides access to Brazilian real estate market data from multiple official sources: the Central Bank of Brazil (BCB) <https://www.bcb.gov.br/>, the Brazilian Association of Real Estate Developers (ABRAINC) <https://abrainc.org.br/>, the Brazilian Association of Real Estate Credit and Savings Entities (ABECIP) <https://www.abecip.org.br/>, the Getulio Vargas Foundation (FGV) <https://portalibre.fgv.br/>, and the Bank for International Settlements (BIS) <https://www.bis.org/>, as well as Brazil's Federal Revenue Service <https://www.gov.br/receitafederal/pt-br/>, the Brazilian Institute of Geography and Statistics (IBGE) <https://www.ibge.gov.br/>, and the Ministry of Cities <https://www.gov.br/cidades/pt-br/>.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>

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Package qap updated to version 0.1-3 with previous version 0.1-2 dated 2022-06-27

Title: Heuristics for the Quadratic Assignment Problem (QAP)
Description: Implements a simulated annealing heuristic for the Quadratic Assignment Problem (QAP). Originally formulated as a facility location problem in operations research, the QAP also has applications in data analysis. The problem is NP-hard.
Author: Michael Hahsler [aut, cre, cph] , Franz Rendl [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package opencis updated to version 0.1.4 with previous version 0.1.2 dated 2026-09-07

Title: Import Data from Spanish Sociological Research Center (CIS)
Description: Search and import data directly to R from the Spanish Sociological Research Center (CIS) <https://www.cis.es/inicio>. The CIS is a public institution that conducts electoral and sociological research studies on the Spanish society. The CIS has a large database of surveys that can be accessed through its website. The package includes functions to search for surveys, survey questions and timeseries, and import the data directly to R.
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>

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Package mlt.docreg updated to version 1.1-14 with previous version 1.1-13 dated 2026-06-09

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

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Package mardist updated to version 1.1.1 with previous version 1.0.1 dated 2026-09-14

Title: Calculation of Maritime Distances
Description: Tools for calculating and visualizing maritime distances and routes between geographic points. At its core, it implements a fast Haversine formula implemented in data.table to compute great circle distances across sea regions (i.e. avoiding land mass). The package builds a spatial network graph from port and cluster coordinates and uses a shortest path algorithm to identify optimal maritime routes between origin-destination pairs. For visualization, the package exports maps displaying individual routes, multi-destination networks, or continuous routes through specified waypoints. Utility functions identify the nearest network nodes to arbitrary coordinates and handle the antimeridian discontinuities common in Pacific maritime mapping. The package is particularly suited for analyzing shipping lanes, trade routes, and vessel trajectory data.
Author: Panayotis Christidis [cre, aut]
Maintainer: Panayotis Christidis <Panayotis.Christidis@ec.europa.eu>

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Package lwbgt updated to version 1.0.1 with previous version 0.4.1 dated 2026-09-29

Title: Reference-Compatible Outdoor Wet Bulb Globe Temperature
Description: Computes outdoor wet bulb globe temperature using the reference-compatible Liljegren numerical model described by Liljegren et al. (2008) <doi:10.1080/15459620802310770>. Provides dependency-free, vectorized access to the native calculation with explicit input units, per-row validation, and deterministic failure reporting.
Author: Yifei Zheng [aut, cre, cph] , James C. Liljegren [ctb], Nels Larson [ctb], UChicago Argonne, LLC [cph]
Maintainer: Yifei Zheng <zyf0717@gmail.com>

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Package lumbermark updated to version 0.9.1 with previous version 0.9.0 dated 2026-03-16

Title: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees
Description: Implements a fast and resistant divisive clustering algorithm which identifies a specified number of clusters: 'lumbermark' iteratively chops off sizeable limbs that are joined by protruding segments of a dataset's mutual reachability minimum spanning tree (Gagolewski, 2026 <DOI:10.48550/arXiv.2604.07143>). The use of a mutual reachability distance pulls peripheral points farther away from each other. It is a viable alternative to the 'HDBSCAN*' algorithm and can be viewed as a divisive version of Genie. The resulting partitions of different granularities are properly nested. When combined with the 'deadwood' package, it can act as an outlier detector. The 'Python' version of 'lumbermark' is available via 'PyPI'.
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package hatemicoint updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-13

Title: Hatemi-J Cointegration Test with Two Unknown Regime Shifts
Description: Implements the Hatemi-J (2008) cointegration test which allows for two unknown structural breaks (regime shifts) in the cointegrating relationship. The test provides three test statistics: ADF* (Augmented Dickey-Fuller), Zt* (Phillips-Perron Z_t), and Za* (Phillips-Perron Z_alpha), along with endogenously determined break dates. Critical values are based on simulations from Hatemi-J (2008) <doi:10.1007/s00181-007-0175-9>. The long-run variance in the Phillips statistics is estimated by default with a prewhitened quadratic spectral kernel and the automatic bandwidth of Andrews (1991) <doi:10.2307/2938229>, following Andrews and Monahan (1992) <doi:10.2307/2951574>.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package geoidep updated to version 0.5.0 with previous version 0.4.0 dated 2026-09-27

Title: Download Geographic Data on Various Topics Provided and Managed by the Spatial Data Infrastructure of Peru
Description: Provides R users with easy access to official cartographic data from Peru across a range of topics, including society, transport, environment, agriculture, climate, and more. It also includes data from regional government entities and technical-scientific institutions, all managed by Peru's Spatial Data Infrastructure. For more information, please visit: <https://www.geoidep.gob.pe/>.
Author: antony barja [aut, cre, cph]
Maintainer: antony barja <geografo.pe@gmail.com>

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Package FAfA updated to version 1.4.1 with previous version 1.4 dated 2026-09-30

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptive statistics, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), exploratory factor analysis (EFA) with various rotation and extraction methods, confirmatory factor analysis (CFA), reliability analysis (e.g., Cronbach's Alpha, McDonald's Omega), and measurement invariance testing across groups. Factor retention methods include parallel analysis following Horn (1965) <doi:10.1007/BF02289447>, optimized parallel analysis following Timmerman and Lorenzo-Seva (2011) <doi:10.1037/a0023353>, permutation parallel analysis for categorical variables following Lubbe (2019) <doi:10.1037/met0000171>, the Hull method following Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, minimum average pa [...truncated...]
Author: Abdullah Faruk KILIC [aut, cre, cph], Ahmet Caliskan [aut, cph], Melissa G. Wolf [ctb, cph] , Daniel McNeish [ctb, cph] , Brian P. O'Connor [ctb, cph]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

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Package ebrahim.gof updated to version 2.9.0 with previous version 2.8.0 dated 2026-09-26

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests such as Hosmer-Lemeshow, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test 'ef.gof()', the directed 'edge.gof()' and its covariate-space variant 'cdef.gof()', the Cauchy-combination ensemble 'edges.gof()', 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), and 'legoft()' (a frozen-weight combination [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre] , Jiawei Zhang [ctb, cph] , Jie Ding [ctb, cph] , Yuhong Yang [ctb, cph]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package dtpcrm updated to version 0.1.3 with previous version 0.1.1 dated 2019-08-20

Title: Dose Transition Pathways for Continual Reassessment Method
Description: Provides the dose transition pathways (DTP) to project in advance the doses recommended by a model-based design for subsequent patients (stay, escalate, deescalate or stop early) using all the accumulated toxicity information; See Yap et al (2017) <doi:10.1158/1078-0432.CCR-17-0582>. DTP can be used as a design and an operational tool and can be displayed as a table or flow diagram. The 'dtpcrm' package also provides the modified continual reassessment method (CRM) and time-to-event CRM (TITE-CRM) with added practical considerations to allow stopping early when there is sufficient evidence that the lowest dose is too toxic and/or there is a sufficient number of patients dosed at the maximum tolerated dose.
Author: Christina Yap [aut], Daniel Slade [aut], Kristian Brock [aut], Yi Pan [aut], Xiaoran Lai [cre]
Maintainer: Xiaoran Lai <xiaoran.lai@icr.ac.uk>

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Package deadwood updated to version 0.9.2 with previous version 0.9.1 dated 2026-09-29

Title: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees
Description: Implements an anomaly detection algorithm based on a dataset's mutual reachability minimum spanning tree: 'deadwood' prunes protruding tree segments and marks small debris as outliers; see Gagolewski (2026) <https://deadwood.gagolewski.com/>. More precisely, tree edges with weights greater than the detected elbow point are removed. All the resulting connected components whose sizes do not exceed a prespecified threshold are deemed anomalous. The use of a mutual reachability distance pulls peripheral observations farther away from one another. If the dataset is comprised of well-separated clusters of heterogeneous densities, an attempt to split the dataset and refine the outlierness markers will be made. The 'Python' version of 'deadwood' is available via 'PyPI'.
Author: Marek Gagolewski [aut, cre, cph]
Maintainer: Marek Gagolewski <marek@gagolewski.com>

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Package dataprep updated to version 0.1.8 with previous version 0.1.5 dated 2022-01-15

Title: Fast, Efficient, and Versatile Data Preprocessing and Reshaping with 'C++', 'OpenMP' & 'SIMD'
Description: Fast, efficient, and versatile preprocessing and reshaping of tabular and time-series data. Most heavy routines are implemented in 'C++' via 'Rcpp', with optional 'OpenMP' parallelization and 'SIMD' acceleration ('AVX2' / 'AVX-512') on supported hardware. The 0.1.8 release rewrites the cleaning routines in 'C++' and delivers a 1.1–1146× speedup over 0.1.5. The 'melt()' and 'dcast()' reshaping functions achieve a 0.6×–1628.9× speedup for 'melt()' and a 1.9×–799.8× speedup for 'dcast()' relative to every one of the seven major alternatives in the R and Python ecosystems, at every tested scale (from 1,000 to 100,000,000 rows), and produce output identical to 'reshape2', 'data.table', 'tidyr', 'pandas', 'polars', 'dask', and 'duckdb'. Core preprocessing steps include variable deletion by missing fraction, observation deletion by consecutive missing runs, point-by-point weighted outlier removal via conditional extremum, traditional percentile-based outlier removal, and linear interpolation [...truncated...]
Author: Chun-Sheng Liang [aut, cre] , Hao Wu [aut], Hai-Yan Li [aut], Qiang Zhang [aut], Zhanqing Li [aut], Ke-Bin He [aut]
Maintainer: Chun-Sheng Liang <chun-shengliang@qq.com>

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Package countryatlas updated to version 3.0.0 with previous version 2.0.1 dated 2026-08-28

Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Description: A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key. It generalises a one-call, map-ready table that stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators and the 'countrycode' Rosetta stone; exposes the join machinery for the user's own data; ships curated reference data (metadata, group memberships, an indicator catalogue, flags and currencies); adds analysis helpers (per-capita, regional roll-ups, ranking, inequality and convergence statistics); and turns one hand-drawn choropleth into a full vocabulary of projected, area-honest maps (binned and quantile choropleths, proportional-symbol, spike, bivariate, value-by-alpha, cartogram, tile-grid, flow, small-multiple, animated, globe and interactive), and can hand its curated, ISO-reconciled ta [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package raptools updated to version 1.24.0 with previous version 1.23.0 dated 2025-12-09

Title: Risk Assessment Plot and Reclassification Metrics
Description: Assessing the comparative performance of two logistic regression models or results of such models or classification models. Discrimination metrics include Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), and difference in Area Under the Curves (AUCs), Brier scores and Brier skill. Plots include Risk Assessment Plots, Decision curves and Calibration plots. Methods are described in Pickering and Endre (2012) <doi:10.2215/CJN.09590911> and Pencina et al. (2008) <doi:10.1002/sim.2929>.
Author: John W Pickering [aut], Dimitrios Doudesis [aut], Daniel Perez Vicencio [cre]
Maintainer: Daniel Perez Vicencio <dvicencio947@gmail.com>

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Package HZIP updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-02

Title: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros
Description: Inference approach for jointly modeling correlated count and binary outcomes. This formulation allows simultaneous modeling of zero inflation via the Bernoulli component while providing a more accurate assessment of the Hierarchical Zero-Inflated Poisson's parsimony (Lizandra C. Fabio, Jalmar M. F. Carrasco, Victor H. Lachos and Ming-Hui Chen, Likelihood-based inference for joint modeling of correlated count and binary outcomes with extra variability and zeros, 2026, under submission).
Author: Lizandra C. Fabio [aut], Jalmar M. F. Carrasco [aut, cre], Victor H. Lachos [aut], Ming-Hui Chen [aut]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>

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Package giscoR updated to version 1.3.0 with previous version 1.2.0 dated 2026-08-27

Title: Download 'Eurostat' 'GISCO' Spatial Data
Description: Tools to download global and European spatial data from the 'Eurostat' 'GISCO' (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for country boundaries, Nomenclature of Territorial Units for Statistics ('NUTS') regions, administrative units, statistical units, transport networks, basic service locations and other 'GISCO' datasets. This package is neither affiliated with nor endorsed by 'Eurostat'.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package DatabaseConnector updated to version 8.0.0 with previous version 7.2.0 dated 2026-06-26

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', 'SQLite', and 'InterSystems IRIS'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package tseLCA updated to version 2.0.0 with previous version 1.1.1 dated 2026-09-23

Title: Three-Step Estimation for Latent Class Analysis
Description: Bias-adjusted three-step estimation of latent class models with covariates and distal outcomes. The latent class measurement model is estimated first, with 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935>, and held fixed; observations are then classified; and the classes are related to covariates and distal outcomes with the maximum likelihood correction of Vermunt (2010) <doi:10.1093/pan/mpq025> and Bakk, Tekle and Vermunt (2013) <doi:10.1177/0081175012470644>, or the correction of Bolck, Croon and Hagenaars (2004) <doi:10.1093/pan/mph001>. Standard errors account for the uncertainty of the measurement model (Bakk, Oberski and Vermunt, 2014) <doi:10.1093/pan/mpu003>. Includes class enumeration, modal and proportional class assignment, covariate formulas, Gaussian, Poisson, binomial, and multinomial distal outcomes, the two-step estimator of Bakk and Kuha (2018) <doi:10.1007/s11336-017-9592-7>, measurement models applied to ne [...truncated...]
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [aut, cph]
Maintainer: Sam Lee <samlee@arizona.edu>

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Package mvMORPH updated to version 1.2.3 with previous version 1.2.2 dated 2026-09-24

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood and Empirical Bayes approaches. See Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, Clavel & Morlon (2020) <DOI:10.1093/sysbio/syaa010>, and Montoya et al. (2026) <DOI:10.1093/sysbio/syag051>.
Author: Julien Clavel [aut, cre], with contributions from Aaron King [aut], Emmanuel Paradis [aut], Paola Montoya [aut]
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package modsem updated to version 1.0.23 with previous version 1.0.22 dated 2026-08-21

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between modsem versions 1.0.22 dated 2026-08-21 and 1.0.23 dated 2026-10-01

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Package urbin updated to version 0.1-18 with previous version 0.1-16 dated 2025-07-06

Title: Unifying Estimation Results with Binary Dependent Variables
Description: Calculate unified measures that quantify the effect of a covariate on a binary dependent variable (e.g., for meta-analyses). This can be particularly important if the estimation results are obtained with different models/estimators (e.g., linear probability model, logit, probit, ...) and/or with different transformations of the explanatory variable of interest (e.g., linear, quadratic, interval-coded, ...). The calculated unified measures are: (a) semi-elasticities of linear, quadratic, or interval-coded covariates and (b) effects of linear, quadratic, interval-coded, or categorical covariates when a linear or quadratic covariate changes between distinct intervals, the reference category of a categorical variable or the reference interval of an interval-coded variable needs to be changed, or some categories of a categorical covariate or some intervals of an interval-coded covariate need to be grouped together. Approximate standard errors of the unified measures are also calculated. All [...truncated...]
Author: Arne Henningsen [aut, cre] , Geraldine Henningsen [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package trendseries updated to version 1.7.0 with previous version 1.4.0 dated 2026-07-13

Title: Extract Trends from Time Series
Description: Provides a unified interface to extract trends, cycles, and seasonal components from monthly and quarterly time series using established filters and smoothers from econometrics and signal extraction, with frequency-aware defaults for common economic frequencies. Rolling and year-to-date aggregations are also available, including the compounded accumulation of rates of change.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>

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Package RcppFastAD updated to version 0.0.6 with previous version 0.0.5 dated 2026-09-24

Title: 'Rcpp' Bindings to 'FastAD' Auto-Differentiation
Description: The header-only 'C++' template library 'FastAD' for automatic differentiation <https://github.com/JamesYang007/FastAD> is provided by this package, along with a few illustrative examples that can all be called from R.
Author: Dirk Eddelbuettel [aut, cre] , James Yang [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package ggChinaFlag updated to version 1.0.0 with previous version 0.4.0 dated 2026-09-14

Title: Drawing Chinese National and Historical Flags with 'ggplot2'
Description: Provides programmatic implementations for drawing Chinese national and historical flags using analytic geometry and 'ggplot2'-based vector graphics. Flag designs are constructed entirely from geometric primitives such as polygons and rectangles, without relying on external image files. The package is intended for educational demonstration, reproducible visualization, and procedural graphics in R.
Author: Zhaoshuo Liu [aut, cre]
Maintainer: Zhaoshuo Liu <liuzhaoshuo1997@outlook.com>

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Package CohortSurvival updated to version 1.2.0 with previous version 1.1.2 dated 2026-07-03

Title: Estimate Survival from Common Data Model Cohorts
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>

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Package BigDataPE updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-15

Title: Secure and Intuitive Access to 'BigDataPE' 'API' Datasets
Description: Designed to simplify the process of retrieving datasets from the 'Big Data PE' platform using secure token-based authentication. It provides functions for securely storing, retrieving, and managing tokens associated with specific datasets, as well as fetching and processing data. The data-retrieval engine is provided by the generic 'apifetch' package, which 'BigDataPE' configures for the Big Data PE service.
Author: Andre Leite [aut, cre] , Hugo Vasconcelos [aut] , Diogo Bezerra [aut] , Marcos Wasiliew [aut] , Carlos Amorim [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package signnet updated to version 1.1.0 with previous version 1.0.6 dated 2025-11-06

Title: Methods to Analyse Signed Networks
Description: Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between signnet versions 1.0.6 dated 2025-11-06 and 1.1.0 dated 2026-10-01

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Package RXKCD updated to version 2.0.2 with previous version 2.0.1 dated 2026-04-15

Title: Get XKCD Comic from R
Description: Visualize your favorite XKCD comic strip directly from R. Includes full-text search with BM25 ranking and semantic similarity search via latent semantic analysis, powered by a local 'DuckDB' cache.
Author: Paolo Sonego [aut, cph, cre], Mikko Korpela [aut]
Maintainer: Paolo Sonego <paolo.sonego@gmail.com>

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Package nocturn updated to version 1.2.1 with previous version 1.2.0 dated 2026-07-29

Title: Sleep Data Filtering and Visualisation
Description: An online app and command-line utility to import, filter and visualise sleep data. Can be used with sleep data collected from any type of device (e.g. radar, sleep diary,...) as long as the data contains sleep onset and wake-up times for each sleep session.
Author: Daniel Thedie [aut, cre, cph]
Maintainer: Daniel Thedie <daniel.thedie@ed.ac.uk>

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Package GDAtools updated to version 2.3.1 with previous version 2.3 dated 2025-05-29

Title: Geometric Data Analysis
Description: Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package ppforest2 updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-21

Title: Projection Pursuit Oblique Decision Trees and Random Forests
Description: Builds decision trees by splitting on linear combinations of randomly chosen variables. Projection pursuit is used to choose a projection of the variables that best separates the groups. Using linear combinations of variables to separate groups takes the correlation between variables into account, which allows the model to outperform a traditional decision tree when the separation between groups occurs in combinations of variables. Single trees can be assembled into random forests for improved accuracy. Implements projection pursuit classification trees (Lee, Cook, Park and Lee (2013) <doi:10.1214/13-EJS810>) and projection pursuit forests (da Silva, Cook and Lee (2021) <doi:10.1080/10618600.2020.1870480>), following the earlier 'PPforest' package.
Author: Andres Vidal [aut, cre, cph], Natalia da Silva [aut]
Maintainer: Andres Vidal <andres@andresvidal.dev>

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Package genderapi updated to version 2.0.0 with previous version 1.0.3 dated 2025-07-14

Title: Official 'GenderAPI.io' V2 Client
Description: Official 'GenderAPI.io' V2 client for R. Provides an interface to the 'GenderAPI.io' V2 web service <https://www.genderapi.io/api-documentation> that infers gender from personal names, email addresses and usernames, runs batches of up to 50 items, reads credit usage and validates phone numbers. Responses are returned as parsed lists with all fields kept, including unknown results, confidence metadata, billing status and batch summaries; errors are raised as structured conditions. Requests are never retried and redirects are never followed. Results are inferences, not verified identity, and can be unknown.
Author: Onur Ozturk [aut, cre]
Maintainer: Onur Ozturk <onurozturk1980@gmail.com>

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Package epiR updated to version 2.0.99 with previous version 2.0.98 dated 2026-09-19

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Ian Kopacka [ctb], Klemens Fuchs [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package DSIR updated to version 0.10.0 with previous version 0.9.0 dated 2026-08-28

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, an average annual rate of reduction function for indicator progress tracking, direct age standardization against the bundled WHO World Standard Population, period life-table construction, a snapshot helper for reproducible data pulls, 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>

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Package xtfifevd updated to version 1.1.0 with previous version 1.0.2 dated 2026-04-28

Title: Panel Fixed Effects Filtered and Variance Decomposition Estimation
Description: Implements fixed effects estimators for time-invariant variables in panel data models. Provides three estimation methods: FEVD (Fixed Effects Vector Decomposition) from Plumper and Troeger (2007) <doi:10.1093/pan/mpm002>, and FEF (Fixed Effects Filtered) and FEF-IV (instrumental variables variant) from Pesaran and Zhou (2018) <doi:10.1080/07474938.2016.1222225>. All methods use the Pesaran and Zhou variance estimators, which account for generated regressor uncertainty, and report the full covariance matrix of the time-varying, time-invariant and intercept coefficients.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package xtdhcoint updated to version 1.0.3 with previous version 1.0.1 dated 2026-03-12

Title: Durbin-Hausman Panel Cointegration Tests
Description: Implements the Durbin-Hausman panel cointegration tests of Westerlund (2008) <doi:10.1002/jae.967>. The tests are robust to cross-sectional dependence through common factor extraction using principal components. Provides both group-mean (DHg) and panel (DHp) test statistics with automatic factor number selection via information criteria.
Author: Muhammad Alkhalaf [aut, cre, cph] , Joakim Westerlund [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package xtcspqardl updated to version 1.0.5 with previous version 1.0.2 dated 2026-03-12

Title: Cross-Sectionally Augmented Panel Quantile ARDL
Description: Implements the Cross-Sectionally Augmented Panel Quantile Autoregressive Distributed Lag (CS-PQARDL) model and the Quantile Common Correlated Effects Mean Group (QCCEMG) estimator for panel data with cross-sectional dependence. The package handles unobserved common factors through cross-sectional averages following Pesaran (2006) <doi:10.1111/j.1468-0262.2006.00692.x> and Chudik and Pesaran (2015) <doi:10.1016/j.jeconom.2015.03.007>. Quantile regression for dynamic panels follows Harding, Lamarche, and Pesaran (2020) <doi:10.1002/jae.2753>. The ARDL approach to cointegration testing is based on Pesaran, Shin, and Smith (2001) <doi:10.1002/jae.616>.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package xtbhst updated to version 1.1.0 with previous version 1.0.2 dated 2026-04-27

Title: Bootstrap Slope Heterogeneity Test for Panel Data
Description: Implements the bootstrap slope heterogeneity test for panel data of Blomquist and Westerlund (2016) <doi:10.1007/s00181-015-0978-z>. Tests the null hypothesis that slope coefficients are homogeneous across cross-sectional units using a block bootstrap of the Swamy-type statistic, with the unit-specific variance estimator of the paper or that of Pesaran and Yamagata (2008) <doi:10.1016/j.jeconom.2007.05.010>, whose Delta and adjusted Delta statistics are reported with asymptotic p-values. Supports partialling out of control variables and cross-sectional averages.
Author: Muhammad Alkhalaf [aut, cre, cph] , Tore Bersvendsen [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package tptest updated to version 1.1.0 with previous version 1.0.3 dated 2026-04-09

Title: Universal Turning Point and Inflection Point Tests
Description: Performs turning point and inflection point tests for U-shaped and inverse U-shaped relationships in regression models. Implements the Sasabuchi (1980) test as extended by Lind and Mehlum (2010) with support for quadratic, cubic, log-quadratic, and inverse functional forms. Features include delta-method standard errors, Fieller confidence intervals, Simonsohn (2018) two-lines test, and parametric bootstrap. Designed for post-estimation analysis of linear models, panel models, and quantile regression. References: Lind and Mehlum (2010) <doi:10.1111/j.1468-0084.2009.00569.x>; Sasabuchi (1980); Fieller (1954) <doi:10.1111/j.2517-6161.1954.tb00159.x>.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package symengine updated to version 0.2.14 with previous version 0.2.13 dated 2026-06-11

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

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Package SVARtca updated to version 1.0.3 with previous version 1.0.2 dated 2026-04-08

Title: Transmission Channel Analysis in Structural VAR Models
Description: Implements Transmission Channel Analysis (TCA) for structural vector autoregressive (SVAR) models following the methodology of Wegner, Lieb, Smeekes and Wilms (2025) <doi:10.48550/arXiv.2405.18987>. TCA decomposes impulse response functions (IRFs) into contributions from distinct transmission channels using a systems form representation and directed acyclic graph (DAG) path analysis. Supports overlapping channels, exhaustive 3-way and 4-way decompositions via inclusion-exclusion principle. This is a parallel R implementation of the 'tca-matlab-toolbox' (<https://github.com/enweg/tca-matlab-toolbox>).
Author: Muhammad Alkhalaf [aut, cre] , Enrico Wegner [ctb] , Lenard Lieb [ctb] , Stephan Smeekes [ctb] , Ines Wilms [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package spicy updated to version 0.13.0 with previous version 0.12.0 dated 2026-05-19

Title: Publication-Ready Tables for Descriptive Statistics and Regression Models
Description: Provides publication-ready tables for descriptive statistics and regression models: frequency tables and cross-tabulations with association measures (Cramer's V, Kendall's Tau-b, and others), categorical and continuous summary tables, by group or from a complex survey design, and regression tables for one or more models side by side, across more than thirty model classes from mixed-effects to survival and Bayesian, with robust standard errors, average marginal effects, and univariable screening. Tables follow APA conventions by default, can switch to named journal styles such as JAMA, NEJM, or The Lancet, and render identically in the console and in 'gt', 'tinytable', 'flextable', 'Word', 'Excel', or the clipboard. Declared missing values in labelled data are honored and disclosed throughout the descriptive tables. Helpers cover codebooks, variable inspection, and row-wise summaries.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

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Package rpic updated to version 0.11.3 with previous version 0.6.2 dated 2026-07-15

Title: The 'pic' Graphics Language Rendered to SVG, PNG and PDF
Description: Renders diagrams written in the 'pic' picture-drawing language (Kernighan, 1984) to SVG, PNG and PDF, using 'rpic' <https://github.com/milkway/rpic-lang>, a reimplementation of 'pic' in 'Rust' with no system dependencies. Includes a native circuit-element library in the spirit of 'circuit_macros', TeX math labels typeset natively, structured compile diagnostics, and a 'knitr' language engine for inline diagrams in 'R Markdown' and 'Quarto' documents.
Author: Andre Leite [aut, cre, cph] , The authors of the dependency Rust crates [cph]
Maintainer: Andre Leite <leite@castlab.org>

Diff between rpic versions 0.6.2 dated 2026-07-15 and 0.11.3 dated 2026-10-01

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Package rmpw updated to version 0.0.7 with previous version 0.0.6 dated 2025-11-17

Title: Causal Mediation Analysis Using Weighting Approach
Description: We implement causal mediation analysis using the methods proposed by Hong (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It allows the estimation and hypothesis testing of causal mediation effects through ratio of mediator probability weights (RMPW). This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. We also implement a sensitivity analysis by extending the RMPW method to assess potential bias in the presence of omitted pretreatment or posttreatment covariates. The sensitivity analysis strategy was proposed by Hong, Qin, and Yang (2018) <doi:10.3102/1076998617749561>.
Author: Xu Qin [aut, cre], Guanglei Hong [aut], Fan Yang [aut]
Maintainer: Xu Qin <xuqin@uchicago.edu>

Diff between rmpw versions 0.0.6 dated 2025-11-17 and 0.0.7 dated 2026-10-01

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Package qardlr updated to version 1.1.1 with previous version 1.0.1 dated 2026-03-13

Title: Quantile Autoregressive Distributed Lag Model
Description: Implements the Quantile Autoregressive Distributed Lag (QARDL) model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>. Estimates quantile-specific long-run (beta), short-run autoregressive (phi), and impact (gamma) parameters. Features include BIC-based automatic lag selection, Error Correction Model (ECM) parameterization, Wald tests for parameter constancy across quantiles, rolling/recursive QARDL estimation, Monte Carlo simulation, and publication-ready output tables.
Author: Muhammad Alkhalaf [aut, cre, cph] , Jin Seo Cho [ctb] , Tae-Hwan Kim [ctb] , Yongcheol Shin [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package mvardlurt updated to version 1.1.0 with previous version 1.0.2 dated 2026-03-16

Title: Multivariate ARDL Unit Root Test
Description: Implements the multivariate autoregressive distributed lag (ARDL) unit root test of Sam, McNown, Goh and Goh (2025) <doi:10.1080/03796205.2024.2439101>. The test augments the ADF regression with the lagged level, the current difference and lagged differences of one or more covariates so that cointegration between the series under test and the covariates is taken into account. The t statistic on the lagged level of the series and the joint F statistic on the lagged levels of the covariates are bootstrapped with the respective null imposed (residual bootstrap), giving critical values and p-values. Provides automatic lag selection via AIC or BIC, diagnostic plots, and the four-case classification of the order of integration of the series.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package midasINLA updated to version 0.1.1 with previous version 0.1.0 dated 2026-09-17

Title: Spatial MIDAS Models Using INLA
Description: Provides tools for fitting spatial Mixed-Data Sampling (MIDAS) regression models using Integrated Nested Laplace Approximation (INLA) (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x>. The package is designed for settings where responses and explanatory variables are observed at different temporal frequencies and supports both constant and spatially varying regression coefficients.
Author: Stephen Jun Villejo [aut, cre]
Maintainer: Stephen Jun Villejo <s.villejo@imperial.ac.uk>

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Package ggCheysson updated to version 1.1.0 with previous version 1.0.1 dated 2026-09-26

Title: Graphic Styles of Emile Cheysson for 'ggplot2'
Description: Implements for 'ggplot2' the stylistic elements (fonts, hatched patterns, color palettes) used by 'Emile Cheysson' in the 'Albums de Statistique Graphique', sometimes called the pinnacle of the Golden Age of Statistical Graphics.
Author: Michael Friendly [aut, cre] , RJ Andrews [ctb], Tom Shanley [ctb], Kenneth Fields [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package eventstudyr updated to version 1.2.1 with previous version 1.2.0 dated 2026-04-05

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>

Diff between eventstudyr versions 1.2.0 dated 2026-04-05 and 1.2.1 dated 2026-10-01

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Package devianLM updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-30

Title: Detecting Extremal Values in a Normal Linear Model
Description: Provides a method to detect values poorly explained by a Gaussian linear model. The procedure is based on the maximum of the absolute value of the studentized residuals, which is a parameter-free statistic. This approach generalizes several procedures used to detect abnormal values during longitudinal monitoring of biological markers. Methodological details are provided in Berthelot G., Saulière G., and Dedecker J. (2025), "DEViaN-LM An R Package for Detecting Abnormal Values in the Gaussian Linear Model", HAL Id: hal-05230549, <https://hal.science/hal-05230549>, and in Berthelot G., Gelein B., Meinadier E., Orhant E., and Dedecker J. (2026), "A guide to z-score-based methods, with illustrations from biological data sets", The Journal of Sport and Exercise Science 10, 54–70, <doi:10.36905/jses.2026.01.06>.
Author: Guillaume Sauliere [aut] , Geoffroy Berthelot [aut, cre] , Jerome Dedecker [aut]
Maintainer: Geoffroy Berthelot <geoffroy.berthelot@insep.fr>

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Package tram updated to version 1.4-6 with previous version 1.4-5 dated 2026-08-23

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package rtables updated to version 0.6.17 with previous version 0.6.16 dated 2026-04-22

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , David Munoz Tord [ctb], F. Hoffmann-La Roche AG [cph, fn [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package rdborrow updated to version 0.0.4.2 with previous version 0.0.4.1 dated 2026-09-24

Title: External Control Borrowing for Rare Disease Trials
Description: Implements causal inference methods for incorporating external control data into randomized controlled trials (RCTs) with longitudinal outcomes. Provides an analysis module supporting weighting-based methods such as inverse probability weighting (IPW) and augmented inverse probability weighting (AIPW), difference-in-differences (DID), and synthetic control approaches for borrowing external control information, as well as a simulation module for generating trial and external control data, evaluating estimator performance via Monte Carlo studies, and conducting power analyses for sample size determination. Methods are based on Zhou et al. (2024) <doi:10.1093/jrsssa/qnae075> and Zhou et al. (2024) <doi:10.1080/10543406.2024.2330209>.
Author: Lei Shi [aut], Matt Secrest [cre, aut] , Herbert Pang [aut], Chen Chen [aut], Jiawen Zhu [aut], Genentech, Inc. [cph]
Maintainer: Matt Secrest <secrmatt@gmail.com>

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Package maxLik updated to version 1.6-10 with previous version 1.5-2.2 dated 2025-12-29

Title: Maximum Likelihood Estimation and Related Tools
Description: Functions for Maximum Likelihood (ML) estimation, non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the Maximum Likelihood viewpoint. It also includes a number of convenience tools for testing and developing your own models.
Author: Ott Toomet [aut, cre], Arne Henningsen [aut], Spencer Graves [ctb], Yves Croissant [ctb], David Hugh-Jones [ctb], Luca Scrucca [ctb]
Maintainer: Ott Toomet <otoomet@gmail.com>

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Package dplR updated to version 1.8.0 with previous version 1.7.9 dated 2026-05-21

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, cph, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Stefan Klesse [aut, cph], Pierre Merian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Alice Cecil [...truncated...]
Maintainer: Andy Bunn <bunna@wwu.edu>

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More information about dplR at CRAN
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Package bedrock updated to version 0.1.16 with previous version 0.1.9 dated 2026-09-29

Title: Base Functions for the 'DescToolsX' Ecosystem
Description: Provides the low level utilities on which the 'DescToolsX' ecosystem is built. Covered are data manipulation and reshaping, predicates for data inspection and validation, vector and string operations, handling of labels and metadata, and routines from number theory and combinatorics. All functions share a common naming and argument scheme and are implemented as S3 generics wherever several input types are meaningful, with performance critical parts written in C++. The package is self contained and can be used on its own, independently of the higher level packages of the suite.
Author: Andri Signorell [aut, cre] , R Core Team [ctb], Hans W. Borchers [ctb], Daniel Chessel [ctb], Nicholas Cooper [ctb], Stephane Dray [ctb], Martin Elff [ctb], Michael Friendly [ctb], Friedrich Leisch [ctb], Thomas Lumley [ctb], Martin Maechler [ctb], N [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

Diff between bedrock versions 0.1.9 dated 2026-09-29 and 0.1.16 dated 2026-10-01

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More information about bedrock at CRAN
Permanent link

Package aMNLFA (with last version 1.1.2) was removed from CRAN

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

2022-02-13 1.1.2

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