Wed, 19 Aug 2026

Package validann readmission to version 1.3 with previous version 1.2.1 dated 2017-04-20

Title: Validation Tools for Artificial Neural Networks
Description: Methods and tools for analysing and validating the outputs and modelled functions of artificial neural networks (ANNs) in terms of predictive, replicative and structural validity. Also provides a method for fitting feed-forward ANNs with a single hidden layer.
Author: Greer B. Humphrey [aut], Patrice Kiener [cre]
Maintainer: Patrice Kiener <rpackages@inmodelia.com>

This is a re-admission after prior archival of version 1.2.1 dated 2017-04-20

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Package stgam updated to version 1.2.1 with previous version 1.2.0 dated 2026-01-29

Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description: A framework for undertaking space and time varying coefficient models (varying parameter models) using a Generalized Additive Model (GAM) with smooths approach. The framework suggests the need to investigate for the presence and nature of any space-time dependencies in the data. It proposes a workflow that creates and refines an initial space-time GAM and includes tools to create and evaluate multiple model forms. The workflow sequence is to: i) Prepare the data by lengthening it to have a single location and time variables for each observation. ii) Create all possible space and/or time models in which each predictor is specified in different ways in smooths. iii) Evaluate each model via their AIC value and pick the best one. iv) Create the final model. v) Calculate the varying coefficient estimates to quantify how the relationships between the target and predictor variables vary over space, time or space-time. vi) Create maps, time series plots etc. The number of knots used in each sm [...truncated...]
Author: Lex Comber [aut, cre], Paul Harris [ctb], Gonzalo Irisarri [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>

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Package seminrExtras updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-30

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplementary tools for evaluating and validating partial least squares structural equation models estimated with 'seminr'. Provides methods for predictive model assessment, importance-performance analysis with necessary condition testing, overfitting diagnostics, measurement model verification, mediator contribution analysis, unobserved heterogeneity detection via latent class and prediction-oriented segmentation, and congruence coefficient testing. All functions accept estimated 'seminr' model objects and return results with print, summary, and plot methods.
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre]
Maintainer: Nicholas Patrick Danks <seminrgroup@gmail.com>

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Package refugees updated to version 2025.12.2 with previous version 2025.12.1 dated 2026-06-25

Title: UNHCR Refugee Population Statistics Database
Description: The Refugee Population Statistics Database published by The Office of The United Nations High Commissioner for Refugees (UNHCR) contains information about forcibly displaced populations spanning more than 70 years of statistical activities. It covers displaced populations such as refugees, asylum-seekers and internally displaced people, including their demographics. Stateless people are also included, most of who have never been displaced. The database also reflects the different types of solutions for displaced populations such as repatriation or resettlement. More information on the data and methodology can be found on the UNHCR Refugee Data Finder <https://www.unhcr.org/refugee-statistics/>.
Author: Hisham Galal [aut], Ahmadou Dicko [aut], Janis Kreuder [cre], UNHCR [cph]
Maintainer: Janis Kreuder <kreuder@unhcr.org>

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Package qbr updated to version 1.4.0 with previous version 1.3.0 dated 2025-01-10

Title: Access the 'Quickbase' JSON API
Description: Programmatically access the 'Quickbase' JSON API <https://developer.quickbase.com>. You supply parameters for an API call, 'qbr' delivers an http request to the API endpoint and returns its response. Outputs follow 'tidyverse' philosophy.
Author: John Erdmann [aut, cre], Keene State College [cph, fnd]
Maintainer: John Erdmann <john.erdmann@keene.edu>

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Package immunogenetr updated to version 1.5.0 with previous version 1.4.0 dated 2026-07-06

Title: A Comprehensive Toolkit for Clinical HLA Informatics
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of Genotype List String (GL String, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL String; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL String; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL String. This library is intended for research use. Any application making use of this package in a clinical setting will need to be independently validated according to local regulations.
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>

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Package gpboost updated to version 1.7.2 with previous version 1.7.1.1 dated 2026-07-23

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package DRIP updated to version 2.5 with previous version 2.4 dated 2026-01-15

Title: Discontinuous Regression and Image Processing
Description: A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi: 10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi: 10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi: 10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi: 10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi: 10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi: 10.1080/10618600.2019.1665536>.
Author: Yicheng Kang [aut, cre], Peihua Qiu [aut, ctb]
Maintainer: Yicheng Kang <kangyicheng0527@gmail.com>

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Package demofit updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-11

Title: Parametric Mortality Curve Fitting and Mortality Forecasting Tools
Description: Provides tools for fitting parametric mortality curves. Implements multiple optimisation strategies to enhance robustness and stability of parameter estimation. Offers tools for forecasting mortality rates guided by mortality curves. For modelling details see: Tabeau (2001) <doi:10.1007/0-306-47562-6_1>, Renshaw and Haberman (2006) <doi:10.1016/j.insmatheco.2005.12.001>, Cairns et al. (2009) <doi:10.1080/10920277.2009.10597538>, Li and Lee (2005) <doi: 10.1353/dem.2005.0021>.
Author: Jackie Li [aut, cre, cph]
Maintainer: Jackie Li <jackieli@smu.edu.sg>

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Package cox.rvph updated to version 0.1.5 with previous version 0.1.4 dated 2026-07-30

Title: Remedy the Violation of the Proportional Hazards Assumption in Cox Proportional Hazards Models
Description: Remedying proportional hazards assumption violations of a Cox proportional hazards model using stepwise changepoint and time-varying coefficient methods based on Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x> and Klein and Moeschberger (1997) <doi:10.1007/978-1-4757-2728-9>.
Author: Hamin Kim [aut, cre]
Maintainer: Hamin Kim <haaamin@korea.ac.kr>

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Package colleyRstats updated to version 0.1.5 with previous version 0.1.4 dated 2026-07-25

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package BIDistances updated to version 1.0.0 with previous version 0.1.5 dated 2026-08-04

Title: Bioinformatic Distances
Description: Provides a unified interface for computing, comparing, and examining distances, dissimilarities, divergences, and selected similarities for bioinformatics data. The core installation exposes 60 canonical named routes for numerical data and more than 90 when the suggested 'philentropy' backend is installed; aliases, user-defined functions, and mixed-data combinations are not included in these counts. Weighted Minkowski distances can be computed through 'parallelDist', an internal multicore implementation, or optional 'OpenCL' kernels, while the established weighted Euclidean GPU implementation is retained as the optimized p = 2 route. The package also supports theory-guided comparison of distance distributions for clustering, explicit mathematical property classifications, mixed-data constructions through 'manydist', and a specialized Gene Ontology-derived TF-IDF distance.
Author: Quirin Stier [aut, rev, ctb] , Michael Thrun [aut, cre] , Luca Brinkmann [ctb]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package VancouvR updated to version 0.1.11 with previous version 0.1.9 dated 2026-03-03

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api-console/explore/v2.1/> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

Diff between VancouvR versions 0.1.9 dated 2026-03-03 and 0.1.11 dated 2026-08-19

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Package multisensi updated to version 2.2-1 with previous version 2.1-1 dated 2018-04-10

Title: Multivariate Sensitivity Analysis
Description: Functions to perform sensitivity analysis on a model with multivariate output.
Author: Caroline Bidot [aut], Matieyendou Lamboni [aut], Herve Monod [aut, cre]
Maintainer: Herve Monod <herve.monod@inrae.fr>

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Package ipwCoxCSV updated to version 1.2 with previous version 1.1 dated 2026-08-02

Title: Corrected Sandwich Inference for Inverse Probability Weighted Cox Models
Description: An implementation of the corrected sandwich variance (CSV) method for inverse probability weighted (IPW) Cox models described in Shu et al. (2021) <doi:10.1111/biom.13332>. The method accounts for the uncertainty in estimating propensity score weights to improve variance and confidence interval estimation for adjusted marginal hazard ratios (HRs) in observational and randomized studies. The package supports estimation of the average treatment effect (ATE) using conventional and stabilized ATE weights, and the average treatment effect in the treated (ATT) using ATT weights, for both independent and clustered data. Propensity scores are estimated using logistic regression.
Author: Di Shu [aut, cre], Rui Wang [aut]
Maintainer: Di Shu <shudi1991@gmail.com>

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Package gtrendshealth updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-17

Title: Query the 'Google Trends for Health' API
Description: Connects to the 'Google Trends for Health' API hosted at <https://trends.google.com/trends/>, allowing projects authorized to use the health research data to query 'Google Trends'.
Author: Oscar de Leon [aut, cre] , US Centers for Disease Control and Prevention [cph]
Maintainer: Oscar de Leon <odeleon@alumni.emory.edu>

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Package gchartsmap updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-19

Title: Access 'Google Charts' Map Data
Description: Connects to the 'Google Charts' geographic data resources described in <https://developers.google.com/chart/interactive/docs/gallery/geochart>, allowing the user to download contents to use as a reference for related services like 'Google Trends'.
Author: Oscar de Leon [aut, cre, cph]
Maintainer: Oscar de Leon <odeleon@alumni.emory.edu>

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Package compIndexBuilder updated to version 2.0.0 with previous version 1.0.0 dated 2025-10-20

Title: Composite Index Builder & Analytics 'shiny' App
Description: Provides an interactive 'shiny' application for constructing, analysing, comparing, and visualising composite indices from tabular multidimensional data. Supports multi-sheet 'Excel' workbooks with active-sheet selection, refresh controls, per-sheet and workbook-wide exports, missing-data processing, indicator direction and normalisation controls, equal and custom weighting, entity-level ranking, time-series analysis and forecasting, entity comparisons, pillar-based sub-indices with equal, custom, correlation-based, or principal-component weights, and diagnostic tools including internal-consistency reliability assessment, coefficient of variation, principal component analysis, sensitivity analysis, correlation heatmaps, and weighted flow visualizations.
Author: Hossein Hassani [aut], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Leila Marvian Mashhad [aut, cre], Fernando CANTU BAZALDUA [aut]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>

Diff between compIndexBuilder versions 1.0.0 dated 2025-10-20 and 2.0.0 dated 2026-08-19

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Package checker updated to version 0.1.5 with previous version 0.1.3 dated 2023-04-26

Title: Check 'R' Configuration Set Up Correctly Before Class
Description: Checks that students have the correct version of 'R', 'R' packages, 'RStudio' and other dependencies installed, and that the recommended 'RStudio' configuration has been applied.
Author: Richard J. Telford [aut, cre]
Maintainer: Richard J. Telford <richard.telford@uib.no>

Diff between checker versions 0.1.3 dated 2023-04-26 and 0.1.5 dated 2026-08-19

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Package cansim updated to version 0.5.0 with previous version 0.4.4 dated 2025-08-19

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package enriches the tables with metadata, deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. For more efficient data access the package allows for caching data in a local database and database level filtering, data manipulation and summarizing.
Author: Jens von Bergmann [aut, cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package surveytable updated to version 0.10.0 with previous version 0.9.10 dated 2025-09-30

Title: Streamlining Complex Survey Estimation and Reliability Assessment in R
Description: Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).
Author: Alex Strashny [aut, cre]
Maintainer: Alex Strashny <alex.strashny@gmail.com>

Diff between surveytable versions 0.9.10 dated 2025-09-30 and 0.10.0 dated 2026-08-19

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Package ErrorTracer updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-30

Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>

Diff between ErrorTracer versions 1.3.0 dated 2026-07-30 and 1.3.1 dated 2026-08-19

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Package iRfcb updated to version 0.10.0 with previous version 0.9.0 dated 2026-06-08

Title: Tools for Managing Imaging FlowCytobot (IFCB) Data
Description: A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/en/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
Author: Anders Torstensson [aut, cre] , Kendra Hayashi [ctb] , Jamie Enslein [ctb], Raphael Kudela [ctb] , Alle Lie [ctb] , Jayme Smith [ctb] , DTO-BioFlow [fnd] , SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

Diff between iRfcb versions 0.9.0 dated 2026-06-08 and 0.10.0 dated 2026-08-19

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Package checkhelper updated to version 1.0.1 with previous version 1.0.0 dated 2026-05-13

Title: Deal with Check Outputs
Description: Deal with packages 'check' outputs and reduce the risk of rejection by 'CRAN' by following policies.
Author: Vincent Guyader [aut, cre] , Sebastien Rochette [aut] , Arthur Breant [aut] , Murielle Delmotte [aut] , ThinkR [cph]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package biofetchR updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-21

Title: Download, Clean, Classify, Enrich and Export Biodiversity Occurrence Data
Description: Downloads, imports, cleans, classifies, enriches and exports biodiversity occurrence data, with an emphasis on reproducible Global Biodiversity Information Facility (GBIF) <https://api.gbif.org/v1/> workflows. The package supports batch occurrence downloads, taxonomic standardisation, coordinate cleaning, optional spatial thinning, spatial attribution and structured export of processed occurrence records and audit outputs. Terrestrial and freshwater workflows can join records to administrative units, protected areas, freshwater ecoregions, basins, rivers, lakes, reservoirs, wetlands and other contextual spatial overlays. Marine workflows support offshore and coastal records through joins to Marine Regions <https://www.marineregions.org/> style layers, Exclusive Economic Zone (EEZ) units, marine ecoregions, Large Marine Ecosystems and user-supplied marine overlays. The package also supports native-range and invasive-status evidence workflows using the World Register of Marin [...truncated...]
Author: Darren Stuart [aut, cre]
Maintainer: Darren Stuart <dstuart04@qub.ac.uk>

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Package BBNI updated to version 0.2.2 with previous version 0.1.1 dated 2026-07-15

Title: Bayesian Inference of Boolean Genetic Networks
Description: Implements a fully Bayesian Markov chain Monte Carlo (MCMC) approach for inferring the topology and Boolean logic transition functions of gene regulatory networks from noisy, binary time-series expression data. Network structure and Boolean rules are sampled jointly from their posterior distribution, providing principled uncertainty quantification rather than a single point estimate. Method described in Han et al. (2014) <doi:10.1371/journal.pone.0115806>.
Author: Anson Li [aut, cre], Shengtong Han [aut]
Maintainer: Anson Li <liyuanrui618@gmail.com>

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Package omophub updated to version 1.9.0 with previous version 1.8.1 dated 2026-06-01

Title: R Client for the 'OMOPHub' Medical Vocabulary API
Description: Provides an R interface to the 'OMOPHub' API for accessing 'OHDSI ATHENA' standardized medical vocabularies. Supports concept search, semantic search using neural embeddings, concept similarity, vocabulary exploration, hierarchy navigation, relationship queries, concept mappings, and FHIR-to-OMOP concept resolution with automatic pagination.
Author: Alex Chen [aut, cre, cph], Observational Health Data Science and Informatics [cph]
Maintainer: Alex Chen <alex@omophub.com>

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Package lt updated to version 0.3 with previous version 0.2 dated 2026-07-09

Title: Lightweight Tables via JSON Specs and JavaScript
Description: A lightweight grammar of tables. Build a table by declaring a JSON spec (titles, spanners, row groups, footnotes, formatting functions, etc.); a tiny vanilla JavaScript runtime builds the HTML table from the spec on page load. No 'sass', no 'V8', no 'htmlwidgets' — just base R and 'xfun' ('htmltools' is used only for the optional Shiny binding).
Author: Yihui Xie [aut, cre, cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package forestecology updated to version 0.2.2 with previous version 0.2.1 dated 2025-08-27

Title: Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees
Description: Code for fitting and assessing models for the growth of trees. In particular for the Bayesian neighborhood competition linear regression model of Allen (2020): methods for model fitting and generating fitted/predicted values, evaluating the effect of competitor species identity using permutation tests, and evaluating model performance using spatial cross-validation.
Author: Albert Y. Kim [aut, cre] , David Allen [aut] , Simon Couch [aut]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package bigbang updated to version 0.4.0 with previous version 0.1.0 dated 2026-08-08

Title: Build 'Tidyverse'-Style Meta-Packages from Local Package Files
Description: Turns a curated set of package archives (.tar.gz, .zip) into one meta-package in the style of the 'tidyverse', so that a group of interdependent packages can be distributed and installed as a single unit. The generated meta-package records the exact archive versions it was built from and installs its components in dependency order, so that whoever receives it does not have to work out which package to install first. The component archives are copied into the generated meta-package, so it is the only artifact that has to be distributed and no directory has to be agreed on between machines. Resolves dependencies by building a graph with topological ordering and cycle detection, classifies them as local or external, and detects implicit dependencies by scanning source code. Installation needs no repository access unless a component depends on a package that only exists in one, which suits teams working behind institutional firewalls. Generates the complete meta-package scaffold, including [...truncated...]
Author: Sebastian Lucas [aut, cre] , Richard Detomasi [ctb]
Maintainer: Sebastian Lucas <sebalucas@gmail.com>

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Package BayesNSGP updated to version 0.3.0 with previous version 0.2.0 dated 2025-12-11

Title: Bayesian Analysis of Non-Stationary Gaussian Process Models
Description: Enables off-the-shelf functionality for fully Bayesian, nonstationary Gaussian process modeling. The approach to nonstationary modeling involves a closed-form, convolution-based covariance function with spatially-varying parameters; these parameter processes can be specified either deterministically (using covariates or basis functions) or stochastically (using approximate Gaussian processes). Stationary Gaussian processes are a special case of our methodology, and we furthermore implement approximate Gaussian process inference to account for very large spatial data sets (Finley, et al (2017) <doi:10.48550/arXiv.1702.00434>). Bayesian inference is carried out using Markov chain Monte Carlo methods via the "nimble" package, and posterior prediction for the Gaussian process at unobserved locations is provided as a post-processing step.
Author: Daniel Turek [aut, cre], Mark Risser [aut], Fabian Ketwaroo [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

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Package RcppMsgPack updated to version 0.2.5 with previous version 0.2.4 dated 2025-01-19

Title: 'MsgPack' C++ Header Files and Interface Functions for R
Description: 'MsgPack' header files are provided for use by R packages, along with the ability to access, create and alter 'MsgPack' objects directly from R. 'MsgPack' is an efficient binary serialization format. It lets you exchange data among multiple languages like 'JSON' but it is faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. This package provides headers from the 'msgpack-c' implementation for C and C++(11) for use by R, particularly 'Rcpp'. The included 'msgpack-c' headers are licensed under the Boost Software License (Version 1.0); the code added by this package as well the R integration are licensed under the GPL (>= 2). See the files 'COPYRIGHTS' and 'AUTHORS' for a full list of copyright holders and contributors to 'msgpack-c'.
Author: Dirk Eddelbuettel [aut, cre] , Travers Ching [aut], MsgPack Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package periscope2 updated to version 0.4.0 with previous version 0.3.0 dated 2025-09-04

Title: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description: A framework for building enterprise, scalable and UI-standardized 'shiny' applications. It brings enhanced features such as 'bootstrap' v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced 'shiny' modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the 'shiny' developers' experience when building and maintaining applications.
Author: Mohammed Ali [aut, cre], Constance Brett [ctb], Aggregate Genius Inc [spn]
Maintainer: Mohammed Ali <mohammed@aggregate-genius.com>

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Package hyd1d updated to version 0.5.5 with previous version 0.5.4 dated 2025-12-03

Title: 1d Water Level Interpolation along the Rivers Elbe and Rhine
Description: An S4 class and several functions which utilize internally stored datasets and gauging data enable 1d water level interpolation. The S4 class (WaterLevelDataFrame) structures the computation and visualisation of 1d water level information along the German federal waterways Elbe and Rhine. 'hyd1d' delivers 1d water level data - extracted from the 'FLYS' database - and validated gauging data - extracted from the hydrological database 'WISKI7' - package-internally. For computations near real time gauging data are queried externally from the 'PEGELONLINE REST API' <https://pegelonline.wsv.de/webservice/dokuRestapi>.
Author: Arnd Weber [aut, cre] , Marcus Hatz [aut], Wolfgang Stuermer [ctb], Wilfried Wiechmann [ctb], Benjamin Eberhardt [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>

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Package HVS readmission to version 1.0.1 with previous version 1.0.0 dated 2026-06-30

Title: Hypergraph Variable Selection
Description: Performs hypergraph-based setwise variable selection with false discovery rate control (Organ, Kenney & Gu, 2026, <doi:10.48550/arXiv.2606.20514>). The idea is, in addition to selecting individual predictors when there is sufficient evidence, to also test all pairs of predictors, and when there is insufficient evidence to be sure which is the true predictor, it will select possibly overlapping pairs, for which there is strong evidence that at least one is a true predictor. The method is designed to control a generalised false discovery rate, where discoveries are counted based on the number of independent sets. The function of this package is similar to the 'hypergraph.sizing' package, but this package is optimised for faster computation in the case where we test all pairs of predictors. The package also includes functions for counting independent sets in a graph or hypergraph, either exactly or approximately. There is also a very limited function for isotonic regression, whi [...truncated...]
Author: Toby Kenney [cre], Sarah Organ [aut]
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>

This is a re-admission after prior archival of version 1.0.0 dated 2026-06-30

Diff between HVS versions 1.0.0 dated 2026-06-30 and 1.0.1 dated 2026-08-19

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Package crs updated to version 0.15-46 with previous version 0.15-45 dated 2026-06-26

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package bigDM updated to version 0.5.8 with previous version 0.5.7 dated 2025-09-16

Title: Scalable Bayesian Disease Mapping Models for High-Dimensional Data
Description: Implements several spatial and spatio-temporal scalable disease mapping models for high-dimensional count data using the INLA technique for approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et al., 2021 <doi:10.1016/j.spasta.2021.100496>; Orozco-Acosta et al., 2023 <doi:10.1016/j.cmpb.2023.107403> and Vicente et al., 2023 <doi:10.1007/s11222-023-10263-x>). The creation and develpment of this package has been supported by Project MTM2017-82553-R (AEI/FEDER, UE) and Project PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033. It has also been partially funded by the Public University of Navarra (project PJUPNA2001).
Author: Aritz Adin [aut, cre] , Erick Orozco-Acosta [aut] , Maria Dolores Ugarte [aut]
Maintainer: Aritz Adin <aritz.adin@unavarra.es>

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Package tesouror updated to version 0.3.0 with previous version 0.2.3 dated 2026-06-09

Title: Access Brazilian National Treasury Open Data APIs
Description: Provides a unified interface to access open data from the Brazilian National Treasury ('Tesouro Nacional') and related government APIs. Covers six data sources: 'SICONFI' <https://apidatalake.tesouro.gov.br/docs/siconfi/> for fiscal reports ('RREO', 'RGF', 'DCA', 'MSC') and entity information; 'CUSTOS' <https://apidatalake.tesouro.gov.br/docs/custos/> for federal government cost data; 'SADIPEM' <https://apidatalake.tesouro.gov.br/docs/sadipem/> for public debt and credit operations; 'Transferencias Constitucionais' <https://apiapex.tesouro.gov.br/aria/v1/transferencias_constitucionais/docs> for constitutional transfers to states and municipalities; 'SIORG' <https://estruturaorganizacional.dados.gov.br> for federal organizational structure; and 'SIOPE' ('FNDE'/'MEC') for education spending data. Features automatic pagination, in-memory caching, retry logic, and tidy output.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut], Tiago Pereira [aut], Fernando Barbalho [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package MatchingPursuit updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-24

Title: Processing Time Series Data Using the Matching Pursuit Algorithm
Description: Provides tools for analysing and decomposing time series data using the Matching Pursuit (MP) algorithm, a greedy signal decomposition technique that represents complex signals as a linear combination of simpler functions (called atoms) selected from a redundant dictionary. Support for the Orthogonal Matching Pursuit (OMP) variant of the classical MP algorithm is also provided. For more details see Mallat and Zhang (1993) <doi:10.1109/78.258082>, Pati et al. (1993) <doi:10.1109/ACSSC.1993.342465>, Elad (2010) <doi:10.1007/978-1-4419-7011-4> and Różański (2024) <doi:10.1145/3674832>.
Author: Artur Gramacki [aut, cre] , Jaroslaw Gramacki [ctb] , Piotr T. Rożanski [ctb]
Maintainer: Artur Gramacki <a.gramacki@gmail.com>

Diff between MatchingPursuit versions 1.1.0 dated 2026-06-24 and 1.2.0 dated 2026-08-19

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Package fpc updated to version 2.2-15 with previous version 2.2-14 dated 2026-01-14

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modal [...truncated...]
Author: Christian Hennig [aut, cre]
Maintainer: Christian Hennig <christian.hennig@unibo.it>

Diff between fpc versions 2.2-14 dated 2026-01-14 and 2.2-15 dated 2026-08-19

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Package clustGLMM readmission to version 1.0.1 with previous version 1.0 dated 2026-07-22

Title: Model-Based Clustering of Mixed-Type Longitudinal Data
Description: Provides tools for Bayesian estimation and inference for modelling clusterwise multivariate regression models for numeric, count, binary, ordinal and count outcomes observed repeatedly on the same units and where possible relations among outcomes are captured through a joint distribution of random effects. The clusters are defined through cluster-specific parameters, which the analyst can choose, e.g., with respect to the regression coefficients. In particular, the model specification for each regression model via the formula is specific to the outcome and consists of four parts: (1) fixed - regression coefficients common to all clusters, (2) group - group-specific regression coefficients, (3) random - random effects specific for each unit, (3) offset - name of an offset variable (if needed). Estimation is performed using MCMC sampling combining Gibbs and Metropolis-Hastings steps. Post-processing tools allow to assess convergence and address label switching and provide visual diagnost [...truncated...]
Author: Jan Vavra [aut, cre] , Bettina Gruen [aut] , Gertraud Malsiner-Walli [aut] , Arnost Komarek [aut]
Maintainer: Jan Vavra <vavraj@karlin.mff.cuni.cz>

This is a re-admission after prior archival of version 1.0 dated 2026-07-22

Diff between clustGLMM versions 1.0 dated 2026-07-22 and 1.0.1 dated 2026-08-19

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Package rice updated to version 2.3.0 with previous version 2.2.1 dated 2026-07-09

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., 2026. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon <doi:10.1017/RDC.2026.10221>. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package gert updated to version 2.4.1 with previous version 2.4.0 dated 2026-07-22

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Maelle Salmon [aut] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package bayprior updated to version 0.3.2 with previous version 0.3.0 dated 2026-07-30

Title: Bayesian Prior Elicitation and Diagnostics for Clinical Trials
Description: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, prior-data conflict diagnostics including the Box p-value, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) <doi:10.2307/2982063>, Oakley and O'Hagan (2010) <https://tonyohagan.co.uk/shelf/>, Schmidli et al. (2014) <doi:10.1111/biom.12242>, Ibrahim and Chen (2000) <doi:10.1214/ss/1009212673>, Spiegelhalter et al. (1994) <doi:10.2307/2983527>.
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>

Diff between bayprior versions 0.3.0 dated 2026-07-30 and 0.3.2 dated 2026-08-19

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Package taxodist updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-02

Title: Taxonomic Hierarchy Distances and Lineage Analysis
Description: Computes distances between taxonomic hierarchy nodes using lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>. For distinct nodes, distance is defined as the reciprocal of the depth of their most recent common ancestor; identical nodes have distance zero. This definition yields an ultrametric within each connected hierarchy. Functions are provided for lineage retrieval and comparison, clade membership, pairwise and matrix distance calculation, hierarchical clustering, principal coordinates analysis, and cache management. Distance matrices are returned as base R 'dist' objects. The distances represent classification depth rather than evolutionary time or phylogenetic branch length.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package DAGassist updated to version 0.3.0 with previous version 0.2.8 dated 2026-02-20

Title: Test Robustness with Directed Acyclic Graphs
Description: Provides robustness checks to align estimands with the identification that they require. Given a 'dagitty' object and a model specification, 'DAGassist' classifies variables by causal roles, recovers a target estimand, and generates a report comparing the original model with DAG-derived adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel', 'dotwhisker', or plain text/'markdown'. 'DAGassist' is built on 'dagitty', an 'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.
Author: Graham Goff [aut, cre] , Michael Denly [aut]
Maintainer: Graham Goff <goffgrahamc@gmail.com>

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Package climateBR updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-07

Title: Download Rainfall, Temperature, and Wind Data from Brazil
Description: Provides functions to download and import meteorological data from Brazil's National Institute of Meteorology (INMET) <https://portal.inmet.gov.br>.
Author: Kaio Barbara [aut, cre, cph]
Maintainer: Kaio Barbara <kaio.rbarbara@ufpe.br>

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Package multigraph updated to version 1.0 with previous version 0.99-3 dated 2024-05-14

Title: Plot and Manipulate Multigraphs
Description: Functions to plot and manipulate multigraphs, signed and valued graphs, bipartite graphs, multilevel graphs, and Cayley colour graphs with various layout options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package fastml updated to version 0.7.9 with previous version 0.7.8 dated 2026-03-17

Title: Guarded Resampling Workflows for Safe and Automated Machine Learning in R
Description: Provides a guarded resampling workflow for training and evaluating machine-learning models. When the guarded resampling path is used, preprocessing and model fitting are re-estimated within each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight AutoML-style workflow by automating model training, resampling, and tuning across multiple algorithms, while keeping evaluation design explicit and user-controlled.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package equatiomatic updated to version 0.4.9 with previous version 0.4.8 dated 2026-04-10

Title: Transform Models into 'LaTeX' Equations
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package biocharkitgui updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-30

Title: 'Shiny' GUI for the 'biocharkit' Biochar Analysis Toolkit
Description: A point-and-click 'Shiny' interface to the 'biocharkit' package. Lets a user upload Excel workbooks of biochar characterisation and batch adsorption data, map spreadsheet columns to the required variables via dropdown menus, and run sample-ID parsing, adsorption capacity and removal efficiency calculations, isotherm fitting (Langmuir, Freundlich, Temkin, Dubinin-Radushkevich, Sips), kinetics fitting (pseudo-first/ second-order, Elovich, intraparticle diffusion), van't Hoff thermodynamics, batch fitting across many samples at once, FTIR baseline correction, automatic peak picking and functional-group analysis, XRD peak deconvolution and crystallinity index, BET surface area, TGA analysis (DTG curve with auto-detected decomposition peaks, moisture/volatile-matter/ash/fixed-carbon straight off a curve for a single sample or in batch across many, and Kissinger non-isothermal kinetics from multi-heating-rate data), proximate/ultimate analysis, and correlation matrices, without writing any R [...truncated...]
Author: Sukamal Sarkar [aut, cre]
Maintainer: Sukamal Sarkar <sukamal.sarkar@gm.rkmvu.ac.in>

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Package weightflow updated to version 1.1.0 with previous version 1.0.0 dated 2026-08-04

Title: Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances
Description: Builds survey analysis weights by declaring the whole weighting process as an ordered recipe of explicit adjustments and estimating it in a single call. The recipe follows the stages of a real household survey: redistribution of unresolved eligibility, within-household selection, nonresponse adjustment by weighting classes, by response-propensity models (logistic regression or machine-learning learners such as trees, random forests and gradient boosting, with optional cross-fitting) or by two-phase calibration for nonresponse, calibration to known population totals following Deville and Sarndal (1992) <doi:10.2307/2290268>, optional model-assisted (model) calibration to auxiliary predictions following Wu and Sitter (2001) <doi:10.1198/016214501750333054>, and range-restricted trimming that bounds the weights while preserving the calibration totals. Variances come from a recipe-aware bootstrap and jackknife that resample or delete primary sampling units and re-apply the enti [...truncated...]
Author: Juan Pablo Ferreira [aut, cre] , Andres Gutierrez [aut]
Maintainer: Juan Pablo Ferreira <juanpablo.ferreira@fcea.edu.uy>

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Package SeqExpMatch readmission to version 0.1.1 with previous version 0.1.0 dated 2021-06-01

Title: Sequential Experimental Design via Matching on-the-Fly with Estimation and Testing
Description: Generates the following sequential two-arm experimental designs: (1) completely randomized (Bernoulli) (2) balanced completely randomized (3) Efron's (1971) Biased Coin (4) Atkinson's (1982) Covariate-Adjusted Biased Coin (5) Kapelner and Krieger's (2014) Covariate-Adjusted Matching on the Fly (6) Kapelner and Krieger's (2021) CARA Matching on the Fly with Differential Covariate Weights (7) Kapelner and Krieger's (2021) CARA Matching on the Fly with Differential Covariate Weights (Stepwise) and also provides the following types of inference: (1) estimation (with both Z-style estimators and OLS estimators), (2) frequentist testing (via asymptotic distribution results and via employing the nonparameteric randomization test) and (3) frequentist confidence intervals (only under the superpopulation sampling assumption currently). Details can be found in Kapelner and Krieger (2021) <doi:10.1111/biom.13561>.
Author: Adam Kapelner [aut, cre], Abba Krieger [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2021-06-01

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Package pgt updated to version 0.6.1 with previous version 0.5.0 dated 2026-07-28

Title: Data Envelopment Analysis for Pollution-Generating Technologies
Description: Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability model of Rodseth (2025) <doi:10.1007/s11123-025-00768-0> and its factorially determined multi-output representation, the by-production intersection technology of Murty, Russell and Levkoff (2012) <doi:10.1016/j.jeem.2012.02.005>, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) <doi:10.1007/s11123-007-0052-8> and a weak-disposability reference model, with an enforced materials-balance identity, a pre-estimation feasibility audit, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling inference. Estimators are solved with 'lpSolveAPI'.
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>

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Package metafrontier updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-15

Title: Analysis of Metafrontier Models for Efficiency and Productivity
Description: Implements metafrontier production function models for estimating technical efficiencies and technology gaps for groups of firms that face different restrictions of a common underlying metatechnology (group-specific technologies in the sense of Battese, Rao, and O'Donnell, 2004). Supports both stochastic frontier analysis (SFA) and data envelopment analysis (DEA) based metafrontiers. Includes the deterministic metafrontier of Battese, Rao, and O'Donnell (2004) <doi:10.1023/B:PROD.0000012454.06094.29>, the stochastic metafrontier of Huang, Huang, and Liu (2014) <doi:10.1007/s11123-014-0402-2>, and the metafrontier Malmquist productivity index of O'Donnell, Rao, and Battese (2008) <doi:10.1007/s00181-007-0119-4>. The deterministic metafrontier can be identified by either the minimum sum of absolute deviations (LP) or the minimum sum of squared deviations (QP) criterion. Additional features include panel SFA with time-varying inefficiency, bootstrap confidence intervals [...truncated...]
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>

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Package gss updated to version 3.0-0 with previous version 2.2-10 dated 2025-11-19

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu [aut, cre]
Maintainer: Chong Gu <chong@purdue.edu>

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