Sun, 17 May 2026

Package DLFM updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-06

Title: Distributed Laplace Factor Model
Description: Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package BIGr updated to version 0.7.2 with previous version 0.6.2 dated 2025-09-18

Title: Breeding Insight Genomics Functions for Polyploid and Diploid Species
Description: Functions developed within Breeding Insight to analyze diploid and polyploid breeding and genetic data. 'BIGr' provides the ability to filter variant call format (VCF) files, extract single nucleotide polymorphisms (SNPs) from diversity arrays technology missing allele discovery count (DArT MADC) files, and manipulate genotype data for both diploid and polyploid species. It also serves as the core dependency for the 'BIGapp' 'Shiny' app, which provides a user-friendly interface for performing routine genotype analysis tasks such as dosage calling, filtering, principal component analysis (PCA), genome-wide association studies (GWAS), and genomic prediction. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>, and the 'updog' output format, see Gerard et al. (2018) <doi:10.1534/genetics.118.301468>.
Author: Alexander M. Sandercock [cre, aut], Cristiane Taniguti [aut], Josue Chinchilla-Vargas [aut], Shufen Chen [ctb], Manoj Sapkota [ctb], Meng Lin [ctb], Dongyan Zhao [ctb], University of Florida [cph]
Maintainer: Alexander M. Sandercock <sandercock.alex@gmail.com>

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Package rdpower updated to version 3.0 with previous version 2.3 dated 2025-05-22

Title: Power, Sample Size, and Minimum Detectable Effect Calculations for RD Designs
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power, sample size, and minimum detectable effect calculations in RD designs: rdpower() calculates the power of an RD design, rdsampsi() calculates the required sample size to achieve a desired power, and rdmde() calculates minimum detectable effects. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package rdmulti updated to version 2.0.0 with previous version 1.2 dated 2025-05-22

Title: Robust Local Polynomial Methods for RD Designs with Multiple Cutoffs or Multiple Scores
Description: The 'rdmulti' package implements estimation, inference, and graphical procedures for regression discontinuity (RD) designs with multiple cutoffs or multiple scores. rdmc() provides point estimation and robust bias-corrected inference for multi-cutoff designs, rdmcplot() provides data-driven RD plots for multi-cutoff designs, and rdms() provides point estimation and robust bias-corrected inference for multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2020) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package polle updated to version 1.6.4 with previous version 1.6.3 dated 2026-05-05

Title: Policy Learning
Description: Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2026) <doi:10.18637/jss.v116.i04> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

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Package nativeORT updated to version 1.0.1 with previous version 0.1.2 dated 2026-05-12

Title: Native R 'ONNX' Runtime
Description: Provides R native 'ONNX' model inference without requiring 'Python', 'reticulate' bindings, or 'TensorFlow'. This package directly binds the 'ONNX Runtime' C API via 'Rcpp', enabling real-time inference for '.onnx' engines, all within R. Standard CPU execution is supported as well as the 'CoreML' Execution Provider (CEP) for Apple Silicon, all without external bindings. This package handles OS detection, linking 'ONNX' libraries, and inference. For more information about 'ONNX Runtime' see <https://onnxruntime.ai/>.
Author: Caleb Carr [aut, cre]
Maintainer: Caleb Carr <calebmcarr1@gmail.com>

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Package jpinfect updated to version 2024.2026.18 with previous version 2023.2026.06 dated 2026-02-23

Title: Acquiring and Processing Data from Japan Institute for Health Security
Description: Download and post process the infectious disease case data from Japan Institute for Health Security. Also the package included ready-to-analyse datasets. See the data source website for further details <https://id-info.jihs.go.jp/>.
Author: Tomonori Hoshi [aut, cre], Erina Ishigaki [aut], Satoshi Kaneko [aut]
Maintainer: Tomonori Hoshi <tomonori.hoshi.japan@gmail.com>

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Package hyper.gam readmission to version 0.3.0 with previous version 0.2.3 dated 2026-03-02

Title: Generalized Additive Models with Hyper Column
Description: An interactive HTML widget of the perspective plot for generalized additive models. An alternative solution of the function mgcv::vis.gam().
Author: Tingting Zhan [aut, cre] , Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

This is a re-admission after prior archival of version 0.2.3 dated 2026-03-02

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Package GPSeqClus readmission to version 1.5.0 with previous version 1.4.0 dated 2023-09-18

Title: Sequential Clustering Algorithm for Location Data
Description: Applies sequential clustering algorithm to animal location data based on user-defined parameters. Plots interactive cluster maps and provides a summary dataframe with attributes for each cluster commonly used as covariates in subsequent modeling efforts. Additional functions provide individual keyhole markup language plots for quick assessment, and export of global positioning system exchange format files for navigation purposes. Methods can be found at <doi:10.1111/2041-210X.13572>.
Author: Clapp [aut], J. G. [aut], Justin Clapp [cre]
Maintainer: Justin Clapp <justin.clapp@wyo.gov>

This is a re-admission after prior archival of version 1.4.0 dated 2023-09-18

Diff between GPSeqClus versions 1.4.0 dated 2023-09-18 and 1.5.0 dated 2026-05-17

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Package BigDataStatMeth updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-14

Title: Title: Scalable Statistical Computing with HDF5-Backed Matrices
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, QR decomposition, and canonical correlation analysis) written in C++ and R. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

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Package AudioScatter updated to version 1.1.1 with previous version 1.1.0 dated 2025-06-11

Title: Audiogram Scattergrams
Description: Creates pre- and post- intervention scattergrams based on audiometric data. These scattergrams are formatted for publication in Otology & Neurotology and other otolaryngology journals. For more details and instructions on how to use this package, please reference Pan and Oghalai (2026) <doi: 10.1097/MAO.0000000000004693>. For further history on the development of scattergrams for reporting audiometric results in clinical trials, please see Gurgel et al (2012) <doi:10.1177/0194599812458401>, Oghalai and Jackler (2016) <doi:10.1177/0194599816638314>.
Author: Dorothy W. Pan [aut, cre], John S. Oghalai [aut]
Maintainer: Dorothy W. Pan <dorothy_pan@URMC.Rochester.edu>

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Package apollo updated to version 0.3.8 with previous version 0.3.7 dated 2026-03-13

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <https://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

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Package exametrika updated to version 1.13.1 with previous version 1.11.0 dated 2026-04-15

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package cat2cat updated to version 0.6.1 with previous version 0.4.7 dated 2024-01-22

Title: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset
Description: Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assigned to a few categories. Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them. This procedure was invented and implemented in the paper by 'Nasinski', 'Majchrowska', and 'Broniatowska' (2020) <doi:10.24425/cejeme.2020.134747>.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

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Package cts updated to version 1.0-26 with previous version 1.0-25 dated 2026-04-20

Title: Continuous Time Autoregressive Models
Description: Provides tools for fitting continuous-time autoregressive (CAR) and complex CAR (CZAR) models for irregularly sampled time series using an exact Gaussian state-space formulation and Kalman filtering/smoothing. Implements maximum-likelihood estimation with stable parameterizations of characteristic roots, model selection via AIC, residual and spectral diagnostics, forecasting and simulation, and extraction of fitted state estimates. Methods are described in Wang (2013) <doi:10.18637/jss.v053.i05>.
Author: Granville Tunnicliffe-Wilson [aut], Zhu Wang [aut, cre], Cleve Moler [ctb, cph], Jack Dongarra [ctb, cph], Jim Bunch [ctb, cph], G. W. Stewart [ctb, cph], John Nash [ctb]
Maintainer: Zhu Wang <zwang145@uthsc.edu>

Diff between cts versions 1.0-25 dated 2026-04-20 and 1.0-26 dated 2026-05-17

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Package BFF updated to version 5.0.0 with previous version 4.5.0 dated 2025-11-05

Title: Bayes Factor Functions
Description: Bayes factors represent the ratio of probabilities assigned to data by competing scientific hypotheses. However, one drawback of Bayes factors is their dependence on prior specifications that define null and alternative hypotheses. Additionally, there are challenges in their computation. To address these issues, we define Bayes factor functions (BFFs) directly from common test statistics. BFFs express Bayes factors as a function of the prior densities used to define the alternative hypotheses. These prior densities are centered on standardized effects, which serve as indices for the BFF. Therefore, BFFs offer a summary of evidence in favor of alternative hypotheses that correspond to a range of scientifically interesting effect sizes. Such summaries remove the need for arbitrary thresholds to determine "statistical significance." BFFs are available in closed form and can be easily computed from z, t, chi-squared, and F statistics. They depend on hyperparameters "r" and "tau^2", which d [...truncated...]
Author: Rachael Shudde [aut, cre], Frantisek Bartos [aut], Saptati Datta [aut], Riana Guha [aut], Sandy Pramanik [aut], Valen Johnson [aut]
Maintainer: Rachael Shudde <rachael.shudde@gmail.com>

Diff between BFF versions 4.5.0 dated 2025-11-05 and 5.0.0 dated 2026-05-17

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Package redatam updated to version 2.3.0 with previous version 2.2.0 dated 2026-02-21

Title: Import 'REDATAM' Files
Description: Import 'REDATAM' formats into R via the 'Open REDATAM' C++ library. The full context of this project and details about the implementation are available in <doi:10.1017/dap.2025.4> (Open Access).
Author: Mauricio Vargas Sepulveda [aut, cre] , Lital Barkai [aut], Ivan Krylov [ctb], Arseny Kapoulkine [ctb] , Oriental Republic of Uruguay [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between redatam versions 2.2.0 dated 2026-02-21 and 2.3.0 dated 2026-05-17

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Package bcmixed updated to version 0.1.6 with previous version 0.1.5 dated 2025-04-11

Title: Mixed Effect Model with the Box-Cox Transformation
Description: Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.
Author: Kazushi Maruo [aut, cre], Ryota Ishii [aut], Yusuke Yamaguchi [ctb], Masahiko Gosho [ctb]
Maintainer: Kazushi Maruo <kazushi.maruo@gmail.com>

Diff between bcmixed versions 0.1.5 dated 2025-04-11 and 0.1.6 dated 2026-05-17

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Package statmod updated to version 1.5.2 with previous version 1.5.1 dated 2025-10-09

Title: Statistical Modeling
Description: A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.
Author: Gordon Smyth [cre, aut], Lizhong Chen [aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth@wehi.edu.au>

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Package pedmut updated to version 0.9.1 with previous version 0.9.0 dated 2025-04-29

Title: Mutation Models for Pedigree Likelihood Computations
Description: A collection of functions for modelling mutations in pedigrees with marker data, as used e.g. in likelihood computations with microsatellite data. Implemented models include equal, proportional and stepwise models, as well as random models for experimental work, and custom models allowing the user to apply any valid mutation matrix. Allele lumping is done following the lumpability criteria of Kemeny and Snell (1976), ISBN:0387901922.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedmut versions 0.9.0 dated 2025-04-29 and 0.9.1 dated 2026-05-17

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Package pedFamilias updated to version 0.2.5 with previous version 0.2.4 dated 2024-09-06

Title: Import and Export 'Familias' Files
Description: Tools for exchanging pedigree data between the 'pedsuite' packages and the 'Familias' software for forensic kinship computations (Egeland et al. (2000) <doi:10.1016/s0379-0738(00)00147-x>). These functions were split out from the 'forrel' package to streamline maintenance and provide a lightweight alternative for packages otherwise independent of 'forrel'.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedFamilias versions 0.2.4 dated 2024-09-06 and 0.2.5 dated 2026-05-17

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Package cpp4r updated to version 0.6.0 with previous version 0.5.1 dated 2026-04-15

Title: Header-Only 'C++' and 'R' Interface
Description: Provides a header only, 'C++' interface to 'R' with enhancements over 'cpp11'. Enforces copy-on-write semantics consistent with 'R' behavior. Offers native support for ALTREP objects, 'UTF-8' string handling, modern 'C++11' features and idioms, and reduced memory requirements. Allows for vendoring, making it useful for restricted environments. Compared to 'cpp11', it adds support for converting 'C++' maps to 'R' lists, 'Roxygen' documentation directly in 'C++' code, proper handling of matrix attributes, support for nullable external pointers, bidirectional copy of complex number types, flexibility in type conversions, use of nullable pointers, and various performance optimizations.
Author: Mauricio Vargas Sepulveda [aut, cre] , Posit Software, PBC [aut]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package aebdata (with last version 0.1.5) was removed from CRAN

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

2026-05-16 0.1.5
2025-02-03 0.1.4
2025-01-12 0.1.3
2024-11-08 0.1.2
2024-10-13 0.1.1
2024-08-19 0.1.0

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Package SpATS updated to version 1.0-20 with previous version 1.0-19 dated 2024-10-16

Title: Spatial Analysis of Field Trials with Splines
Description: Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Author: Maria Xose Rodriguez-Alvarez [aut, cre], Martin Boer [aut], Paul Eilers [aut], Fred van Eeuwijk [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>

Diff between SpATS versions 1.0-19 dated 2024-10-16 and 1.0-20 dated 2026-05-17

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Package readabs updated to version 0.4.30 with previous version 0.4.20 dated 2026-01-07

Title: Download and Tidy Time Series Data from the Australian Bureau of Statistics
Description: Downloads, imports, and tidies time series data from the Australian Bureau of Statistics <https://www.abs.gov.au/>.
Author: Matt Cowgill [aut, cre] , Zoe Meers [aut], Jaron Lee [aut], David Diviny [aut], Hugh Parsonage [ctb], Kinto Behr [ctb], Angus Moore [ctb], Francis Markham [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

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Package spatialData updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-21

Title: Spatial Datasets for Ecological Modeling
Description: Provides spatial datasets ready to use for ecological modelling and raster companion data for prediction: Neanderthal presence during the Last Interglacial (Benito et al. 2017 <doi:10.1111/jbi.12845>); Plant diversity metrics for the World's Ecoregions (Maestre et al. 2021 <doi:10.1111/nph.17398>); tree richness across the Americas (Benito et al. 2013 <doi:10.1111/2041-210X.12022>); plant communities from the Sierra Nevada (Spain) with future climate scenarios (Benito et al. 2013 <doi:10.1111/2041-210X.12022>); butterfly-plant interaction data from Sierra Nevada (Spain) (Benito et al. 2011 <doi:10.1007/s10584-010-0015-3>); plant species occurrences in Andalusia (Spain) (Benito et al. 2014 <doi:10.1111/ddi.12148>); presence of the plant Linaria nigricans and greenhouses (Benito et al. 2009 <doi:10.1007/s10531-009-9604-8>); global NDVI and environmental predictors, and European oak species occurrences. All datasets include pre-processed environme [...truncated...]
Author: Blas M. Benito [aut, cre]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package QuickJSR updated to version 1.10.0 with previous version 1.9.2 dated 2026-04-17

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.9.2 dated 2026-04-17 and 1.10.0 dated 2026-05-17

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Package duckspatial updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-30

Title: R Interface to 'DuckDB' Database with Spatial Extension
Description: Fast & memory-efficient functions to analyze and manipulate large spatial data data sets. It leverages the fast analytical capabilities of 'DuckDB' and its spatial extension (see <https://duckdb.org/docs/stable/core_extensions/spatial/overview>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

Diff between duckspatial versions 1.0.0 dated 2026-03-30 and 1.1.0 dated 2026-05-17

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Package dm updated to version 1.1.2 with previous version 1.1.1 dated 2026-03-05

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360 AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package PRA (with last version 0.4.0) was removed from CRAN

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

2026-04-08 0.4.0
2024-08-20 0.3.0
2024-07-02 0.2.0

Permanent link
Package DataQualityDashboard (with last version 2.8.7) was removed from CRAN

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

2026-03-22 2.8.7
2026-01-28 2.8.6

Permanent link
Package tidyactuarial updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-10

Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, multi-life benefits, and related quantities. The package emphasizes clear actuarial notation consistent with standard curricula (e.g. SOA exams) and supports reproducible workflows using modern R.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>

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Package jsutils updated to version 0.3.0 with previous version 0.2.0 dated 2025-12-17

Title: 'JavaScript' Utilities for 'R'
Description: A collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between jsutils versions 0.2.0 dated 2025-12-17 and 0.3.0 dated 2026-05-17

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Package xiacf updated to version 0.5.0 with previous version 0.4.1 dated 2026-04-27

Title: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee's Xi
Description: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the Xi-Autocorrelation Function (Xi-ACF) and Xi-Cross-Correlation Function (Xi-CCF). The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) surrogate data with strict Family-Wise Error Rate ('FWER') control via Max-statistic approaches. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115> and surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>.
Author: Yasunori Watanabe [aut, cre]
Maintainer: Yasunori Watanabe <watanabe.yasunori@outlook.com>

Diff between xiacf versions 0.4.1 dated 2026-04-27 and 0.5.0 dated 2026-05-17

 xiacf-0.4.1/xiacf/R/autoplot.xi_acf.R                        |only
 xiacf-0.4.1/xiacf/R/autoplot.xi_ccf.R                        |only
 xiacf-0.4.1/xiacf/R/autoplot.xi_matrix.R                     |only
 xiacf-0.4.1/xiacf/man/compute_xi_acf_iaaft.Rd                |only
 xiacf-0.4.1/xiacf/man/compute_xi_ccf_miaaft.Rd               |only
 xiacf-0.4.1/xiacf/man/compute_xi_matrix_miaaft.Rd            |only
 xiacf-0.4.1/xiacf/man/generate_miaaft_surrogate_cpp.Rd       |only
 xiacf-0.4.1/xiacf/man/print.xi_acf.Rd                        |only
 xiacf-0.4.1/xiacf/man/print.xi_ccf.Rd                        |only
 xiacf-0.4.1/xiacf/man/run_rolling_xi_analysis.Rd             |only
 xiacf-0.4.1/xiacf/src/miaaft_core.cpp                        |only
 xiacf-0.4.1/xiacf/src/xi_core.cpp                            |only
 xiacf-0.5.0/xiacf/DESCRIPTION                                |   25 -
 xiacf-0.5.0/xiacf/MD5                                        |   92 +--
 xiacf-0.5.0/xiacf/NAMESPACE                                  |   25 -
 xiacf-0.5.0/xiacf/NEWS.md                                    |    7 
 xiacf-0.5.0/xiacf/R/RcppExports.R                            |   96 +--
 xiacf-0.5.0/xiacf/R/autoplot.R                               |only
 xiacf-0.5.0/xiacf/R/deprecated.R                             |only
 xiacf-0.5.0/xiacf/R/extract.R                                |  135 +----
 xiacf-0.5.0/xiacf/R/globals.R                                |   13 
 xiacf-0.5.0/xiacf/R/utils.R                                  |only
 xiacf-0.5.0/xiacf/R/xi_acf.R                                 |  189 +++++--
 xiacf-0.5.0/xiacf/R/xi_ccf.R                                 |  213 +++++---
 xiacf-0.5.0/xiacf/R/xi_matrix.R                              |  186 +++++--
 xiacf-0.5.0/xiacf/R/xi_rolling_acf.R                         |  208 +++-----
 xiacf-0.5.0/xiacf/R/xi_rolling_ccf.R                         |  265 +++--------
 xiacf-0.5.0/xiacf/README.md                                  |  258 ++++------
 xiacf-0.5.0/xiacf/inst/CITATION                              |   28 -
 xiacf-0.5.0/xiacf/man/autoplot.xi_acf.Rd                     |   12 
 xiacf-0.5.0/xiacf/man/autoplot.xi_ccf.Rd                     |   12 
 xiacf-0.5.0/xiacf/man/autoplot.xi_matrix.Rd                  |   12 
 xiacf-0.5.0/xiacf/man/extract_xi_acf.Rd                      |   10 
 xiacf-0.5.0/xiacf/man/extract_xi_ccf.Rd                      |   11 
 xiacf-0.5.0/xiacf/man/figures/README-ccf-example-1.png       |binary
 xiacf-0.5.0/xiacf/man/figures/README-extract_example-1.png   |only
 xiacf-0.5.0/xiacf/man/figures/README-xi-acf-test-1.png       |binary
 xiacf-0.5.0/xiacf/man/figures/README-xi-ccf-rolling-1.png    |binary
 xiacf-0.5.0/xiacf/man/figures/README-xi_matrix_example-1.png |only
 xiacf-0.5.0/xiacf/man/print.xi_matrix.Rd                     |    2 
 xiacf-0.5.0/xiacf/man/reexports.Rd                           |only
 xiacf-0.5.0/xiacf/man/run_rolling_xi_acf.Rd                  |only
 xiacf-0.5.0/xiacf/man/run_rolling_xi_ccf.Rd                  |   27 -
 xiacf-0.5.0/xiacf/man/surrogate_iaaft_cpp.Rd                 |only
 xiacf-0.5.0/xiacf/man/surrogate_miaaft_cpp.Rd                |only
 xiacf-0.5.0/xiacf/man/xi_acf.Rd                              |   26 -
 xiacf-0.5.0/xiacf/man/xi_ccf.Rd                              |   34 -
 xiacf-0.5.0/xiacf/man/xi_coefficient.Rd                      |    9 
 xiacf-0.5.0/xiacf/man/xi_matrix.Rd                           |   16 
 xiacf-0.5.0/xiacf/man/xiacf-deprecated.Rd                    |only
 xiacf-0.5.0/xiacf/src/RcppExports.cpp                        |   84 +--
 xiacf-0.5.0/xiacf/src/surrogate_gen.cpp                      |only
 xiacf-0.5.0/xiacf/src/testing_engine.cpp                     |only
 xiacf-0.5.0/xiacf/src/xi_math.cpp                            |only
 xiacf-0.5.0/xiacf/tests/testthat/test-compatibility.R        |only
 xiacf-0.5.0/xiacf/tests/testthat/test-core_logic.R           |   39 -
 xiacf-0.5.0/xiacf/tests/testthat/test-extractors.R           |   49 --
 xiacf-0.5.0/xiacf/tests/testthat/test-xi_acf.R               |  207 +-------
 xiacf-0.5.0/xiacf/tests/testthat/test-xi_ccf.R               |   83 ---
 xiacf-0.5.0/xiacf/tests/testthat/test-xi_matrix.R            |   46 -
 60 files changed, 1037 insertions(+), 1382 deletions(-)

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