Sun, 07 Jun 2026

Package vcdExtra updated to version 0.9.6 with previous version 0.9.3 dated 2026-03-18

Title: 'vcd' Extensions and Additions
Description: Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Author: Michael Friendly [aut, cre] , David Meyer [ctb], Achim Zeileis [ctb] , Duncan Murdoch [ctb], Heather Turner [ctb] , David Firth [ctb], Daniel Sabanes Bove [ctb], Matt Kumar [ctb], Shuguang Sun [ctb], Gavin Klorfine [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package rlppinv updated to version 1.1.0 with previous version 1.0.0 dated 2026-05-16

Title: Linear Programming via Regularized Least Squares
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a two-stage estimation method that reformulates linear programs as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, LPPinv solves linear inequality, equality, and bound constraints by (1) constructing a canonical constraint system and computing a pseudoinverse projection, followed by (2) a convex-programming correction stage to refine the solution under additional regularization (e.g., Lasso, Ridge, or Elastic Net). LPPinv is intended for underdetermined and ill-posed linear problems, for which standard solvers fail.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package tinyspotifyr updated to version 0.2.3 with previous version 0.2.2 dated 2021-02-24

Title: Tinyverse R Wrapper for the 'Spotify' Web API
Description: An R wrapper for the 'Spotify' Web API <https://developer.spotify.com/web-api/>.
Author: Troy Hernandez [aut, cre, cph] , Charlie Thompson [aut, cph], Josiah Parry [aut], Donal Phipps [aut], Tom Wolff [aut]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package statease updated to version 1.2.1 with previous version 1.2.0 dated 2026-06-02

Title: Simplified Statistical Analysis with Plain-English Interpretation
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-tests (one-sample, independent, and paired), one-way and two-way Analysis of Variance (ANOVA), Multivariate Analysis of Variance (MANOVA), chi-square tests, correlation analysis, simple and multiple linear regression, logistic regression, and non-parametric tests (Mann-Whitney U, Wilcoxon Signed Rank, and Kruskal-Wallis). Each function automatically interprets results in plain English, reporting effect sizes, confidence intervals, and p-value interpretations. Post-hoc tests are automatically applied following significant results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based on Cohen, J. (1988) <doi:10.4324/9780203771587>, Tukey, J. W. (1949) <doi:10.2307/3001913>, and Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

Diff between statease versions 1.2.0 dated 2026-06-02 and 1.2.1 dated 2026-06-07

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Package RQuantLib updated to version 0.4.27 with previous version 0.4.26 dated 2025-04-24

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.26 dated 2025-04-24 and 0.4.27 dated 2026-06-07

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Package rclsp updated to version 1.1.0 with previous version 1.0.0 dated 2026-05-16

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package new.dist updated to version 0.1.2 with previous version 0.1.1 dated 2023-12-09

Title: Alternative Continuous and Discrete Distributions
Description: The aim is to develop an R package, which is the 'new.dist' package, for the probability (density) function, the distribution function, the quantile function and the associated random number generation function for discrete and continuous distributions, which have recently been proposed in the literature. This package implements the following distributions: The Power Muth Distribution, a Bimodal Weibull Distribution, the Discrete Lindley Distribution, The Gamma-Lomax Distribution, Weighted Geometric Distribution, a Power Log-Dagum Distribution, Kumaraswamy Distribution, Lindley Distribution, the Unit-Inverse Gaussian Distribution, EP Distribution, Akash Distribution, Ishita Distribution, Maxwell Distribution, the Standard Omega Distribution, Slashed Generalized Rayleigh Distribution, Two-Parameter Rayleigh Distribution, Muth Distribution, Uniform-Geometric Distribution, Discrete Weibull Distribution.
Author: Ramazan Akman [cre, ctb] , Coskun Kus [aut, ctb] , Ihab Abusaif [aut, ctb]
Maintainer: Ramazan Akman <ramazanakman12345@gmail.com>

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Package MisRepARMA updated to version 0.2.0 with previous version 0.0.2 dated 2021-07-14

Title: Misreported Time Series Analysis
Description: Provides a simple and trustworthy methodology for the analysis of misreported continuous time series using either a frequentist (bootstrap-based EM algorithm) or a Bayesian (MCMC via JAGS) approach. The frequentist method is described in Morina et al. (2021) <doi:10.1038/s41598-021-02620-5>. The Bayesian extension fits the same ARMA model with misreporting structure using a full posterior distribution, providing credible intervals and DIC for model comparison, as described in Morina et al. (2024) <doi:10.1101/2024.02.26.24303373>.
Author: David Morina Soler [aut, cre] , Amanda Fernandez-Fontelo [aut], Alejandra Cabana [aut], Pedro Puig [aut], Biel Abarca Galvan [aut]
Maintainer: David Morina Soler <David.Morina@uab.cat>

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Package irtQ updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-16

Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to test data, which includes both dichotomous and polytomous items, calibrate pretest item parameters, estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the irt.eq.tse() func [...truncated...]
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb], David Magis [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

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Package glmmrOptim readmission to version 0.5.1 with previous version 0.3.7 dated 2026-03-31

Title: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Description: Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) <doi:10.1177/09622802231202379>.
Author: Sam Watson [aut, cre], Yi Pan [aut]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

This is a re-admission after prior archival of version 0.3.7 dated 2026-03-31

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

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package nlmixr2extra updated to version 5.1.0 with previous version 5.0.0 dated 2025-11-29

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut] , Omar Elashkar [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package NPFD updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-04

Title: N-Power Fourier Deconvolution
Description: Provides tools for non-parametric Fourier deconvolution using the N-Power Fourier Deconvolution (NPFD) method. This package includes methods for density estimation (densprf()) and sample generation (createSample()), enabling users to perform statistical analyses on mixed or replicated data sets.
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Package GCEstim updated to version 1.1.0 with previous version 0.1.0 dated 2025-07-16

Title: Regression Coefficients Estimation Using the Generalized Cross Entropy
Description: Estimation and inference using the Generalized Maximum Entropy (GME) and Generalized Cross Entropy (GCE) framework, a flexible method for solving ill-posed inverse problems and parameter estimation under uncertainty (Golan, Judge, and Miller (1996, ISBN:978-0471145925) "Maximum Entropy Econometrics: Robust Estimation with Limited Data"). The package includes routines for generalized cross entropy estimation of linear models including the implementation of a GME-GCE two steps approach. Diagnostic tools, and options to incorporate prior information through support and prior distributions are available (Macedo, Cabral, Afreixo, Macedo and Angelelli (2025) <doi:10.1007/978-3-031-97589-9_21>). In particular, support spaces can be defined by the user or be internally computed based on the ridge trace or on the distribution of standardized regression coefficients. Different optimization methods for the objective function can be used. An adaptation of the normalized entropy aggregation ( [...truncated...]
Author: Cabral Jorge [aut, cre] , Macedo Pedro [ths], Afreixo Vera [ths]
Maintainer: Cabral Jorge <jorgecabral@ua.pt>

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Package adapt3 updated to version 2.0.9 with previous version 2.0.7 dated 2026-02-13

Title: Adaptive Dynamics and Community Matrix Model Projections
Description: Runs projections of groups of matrix projection models (MPMs), allowing density dependence mechanisms to work across MPMs. This package was developed to run both adaptive dynamics simulations such as pairwise and multiple invasibility analyses, and community projections in which species are represented by MPMs. All forms of MPMs are allowed, including integral projection models (IPMs).
Author: Richard P. Shefferson [aut, cre]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package VDPO updated to version 0.2.0 with previous version 0.1.0 dated 2024-10-21

Title: Working with and Analyzing Functional Data of Varying Lengths
Description: Comprehensive set of tools for analyzing and manipulating functional data with non-uniform lengths. This package addresses two common scenarios in functional data analysis: Variable Domain Data, where the observation domain differs across samples, and Partially Observed Data, where observations are incomplete over the domain of interest. 'VDPO' enhances the flexibility and applicability of functional data analysis in 'R'. See Amaro et al. (2024) <doi:10.48550/arXiv.2401.05839>, Hernandez-Amaro et al. (2025) <doi:10.48550/arXiv.2510.26917>, and Hernandez-Amaro et al. (2026) <doi:10.48550/arXiv.2605.03633>.
Author: Pavel Hernandez [aut, cre], Jose Ignacio Diez [ctr], Maria Durban [ctb], Maria del Carmen Aguilera-Morillo [ctb]
Maintainer: Pavel Hernandez <pavel.amaro96@gmail.com>

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Package spanishoddata updated to version 0.2.6 with previous version 0.2.5 dated 2026-05-26

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Methods described in Kotov et al. (2026) <doi:10.1177/23998083251415040>. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package pak updated to version 0.10.0 with previous version 0.9.5 dated 2026-04-27

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package ksm updated to version 1.1 with previous version 1.0 dated 2025-10-28

Title: Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Description: Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
Author: Leo Belzile [aut, cre] , Frederic Ouimet [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package ggWebGL updated to version 0.8.0 with previous version 0.4.0 dated 2026-05-04

Title: Browser-Native 'WebGL' Rendering for R Graphics
Description: Provides browser-native 'WebGL' rendering for R graphics through 'htmlwidgets'. The package supports grammar-style graphics workflows and renderer-ready specifications for dense analytical and scientific scenes, including point, line, trajectory, raster, vector, mesh, and surface layers, shader-driven display modes, timeline controls, structured views, selection metadata, and publication-oriented static export helpers. Rendering stays in the browser, and the core package remains cross-platform without requiring 'CUDA', 'Metal', or 'OpenCL' toolchains.
Author: Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package fio updated to version 1.1.0 with previous version 1.0.0 dated 2026-02-27

Title: Friendly Input-Output Analysis
Description: Simplifies the process of economic input-output analysis by combining user-friendly interfaces with high-performance computation. It provides tools for analyzing both single-region and multi-regional economic systems through a hybrid architecture that pairs R's accessibility with Rust's computational efficiency.
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>

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Package D3mirt updated to version 2.0.5 with previous version 2.0.4 dated 2024-06-22

Title: Descriptive 3D Multidimensional Item Response Theory Modeling
Description: For identifying, estimating, and plotting descriptive multidimensional item response theory models, restricted to 3D and dichotomous or polytomous data that fit the two-parameter logistic model or the graded response model. The method is primarily exploratory and centered on the plot function, which exposes item characteristics and constructs, represented by vector arrows, within a three-dimensional interactive latent space. The results can be useful for item-level analysis as well as test development.
Author: Erik Forsberg [aut, cre, cph]
Maintainer: Erik Forsberg <forsbergpsychometrics@gmail.com>

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Package colocboost updated to version 1.0.8 with previous version 1.0.7 dated 2025-11-22

Title: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Description: A multi-task learning approach to variable selection regression with highly correlated predictors and sparse effects, based on frequentist statistical inference. It provides statistical evidence to identify which subsets of predictors have non-zero effects on which subsets of response variables, motivated and designed for colocalization analysis across genome-wide association studies (GWAS) and quantitative trait loci (QTL) studies. The ColocBoost model is described in Cao et. al. (2025) <doi:10.1101/2025.04.17.25326042>.
Author: Xuewei Cao [cre, aut, cph], Haochen Sun [aut, cph], Ru Feng [aut, cph], Daniel Nachun [aut, cph], Kushal Dey [aut, cph], Gao Wang [aut, cph]
Maintainer: Xuewei Cao <xc2270@cumc.columbia.edu>

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Package akin updated to version 0.3.6 with previous version 0.3.3 dated 2026-05-19

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings, and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package tripack updated to version 1.3-9.4 with previous version 1.3-9.3 dated 2025-06-02

Title: Triangulation of Irregularly Spaced Data
Description: A constrained two-dimensional Delaunay triangulation package providing both triangulation and generation of voronoi mosaics of irregular spaced data. Please note that most of the functions are now also covered in package interp, which is a re-implementation from scratch under a free license based on a different triangulation algorithm.
Author: Albrecht Gebhardt [aut, cre, cph] , R. J. Renka [aut] , Stephen Eglen [aut, cph] , Sergej Zuyev [aut, cph] , Denis White [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

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Package rts2 readmission to version 1.0.3 with previous version 1.0.2 dated 2026-04-30

Title: Log-Gaussian Cox Process Models with Approximations
Description: Supports modelling case data to facilitate. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Monte Carlo maximum likelihood is the main fitting method with a low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and a stochastic partial differential equation approximation. Bayesian methods are also provided for some methods. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

This is a re-admission after prior archival of version 1.0.2 dated 2026-04-30

Diff between rts2 versions 1.0.2 dated 2026-04-30 and 1.0.3 dated 2026-06-07

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Package precviasBR readmission to version 0.1.1 with previous version 0.1.0 dated 2026-05-05

Title: Spatial Data of Road Precariousness in Brazil
Description: Fornece acesso eficiente à malha espacial de precariedade viária brasileira. O pacote realiza o download em cache e a leitura otimizada (via Apache Arrow) de arquivos Parquet particionados, contendo o cruzamento de variáveis de infraestrutura do Entorno do Censo Demográfico 2022 (IBGE) com a malha viária aberta do Overture Maps. [English] Provides efficient access to the spatial network of road precariousness in Brazil. The package performs cached downloads and optimized reading (via Apache Arrow) of partitioned Parquet files. These files contain the intersection of infrastructure variables from the 2022 Demographic Census (IBGE) with the open street network from Overture Maps. Methodology and datasets are detailed in Passos (2026) <doi:10.5281/zenodo.19711448>.
Author: Iara Passos [aut, cre]
Maintainer: Iara Passos <isteps.data@protonmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2026-05-05

Diff between precviasBR versions 0.1.0 dated 2026-05-05 and 0.1.1 dated 2026-06-07

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Package MOSAlloc updated to version 1.2.6 with previous version 1.2.5 dated 2026-02-14

Title: Constraint Multiobjective Sample Allocation
Description: Provides a framework for multipurpose optimal resource allocation in survey sampling, extending the classical optimal allocation principles introduced by Tschuprow (1923) and Neyman (1934) to multidomain and multivariate allocation problems. The primary method mosalloc() allows for the consideration of precision and cost constraints at the subpopulation level while minimizing either a vector of sampling errors or survey costs across a broad range of optimal sample allocation problems. The approach supports both single- and multistage designs. For single-stage stratified random sampling, the mosallocSTRS() function offers a user- friendly interface. Sensitivity analysis is supported through the problem's dual variables, which are naturally obtained via the internal use of the Embedded Conic Solver from the 'ECOSolveR' package. See Willems (2025, <doi:10.25353/ubtr-9200-484c-5c89>) for a detailed description of the theory behind 'MOSAlloc'.
Author: Felix Willems [aut, cre] , Ralf Muennich [ths]
Maintainer: Felix Willems <mail.willemsf+MOSAlloc@gmail.com>

Diff between MOSAlloc versions 1.2.5 dated 2026-02-14 and 1.2.6 dated 2026-06-07

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Package marginme readmission to version 0.1.2 with previous version 0.1.1 dated 2026-04-30

Title: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Description: Estimation of relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

This is a re-admission after prior archival of version 0.1.1 dated 2026-04-30

Diff between marginme versions 0.1.1 dated 2026-04-30 and 0.1.2 dated 2026-06-07

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Package ces updated to version 1.1.0 with previous version 1.0.2 dated 2025-08-29

Title: Access to Canadian Election Study Data
Description: Provides tools to easily access and analyze Canadian Election Study data. The package simplifies the process of downloading, cleaning, and using 'CES' datasets for political science research and analysis. The Canadian Election Study ('CES') has been conducted during federal elections since 1965, surveying Canadians on their political preferences, engagement, and demographics. Data is accessed from multiple sources including the 'Borealis' Data repository <https://borealisdata.ca/> and the official 'Canadian Election Study' website <https://ces-eec.arts.ubc.ca/>. This package is not officially affiliated with the Canadian Election Study, 'Borealis' Data, or the University of British Columbia, and users should cite the original data sources in their work.
Author: Laurence-Olivier M. Foisy [aut, cre]
Maintainer: Laurence-Olivier M. Foisy <mail@mfoisy.com>

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Package PRIMME (with last version 3.2-6) was removed from CRAN

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

2024-01-09 3.2-6
2023-09-30 3.2-5
2023-05-10 3.2-4

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Package choroplethr (with last version 5.0.1) was removed from CRAN

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

2025-10-18 5.0.1
2025-06-26 5.0.0
2025-04-11 4.0.0

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