Fri, 15 May 2026

Package wbsd updated to version 1.0.1 with previous version 1.0.0 dated 2020-05-14

Title: Wild Bootstrap Size Diagnostics
Description: Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" <doi:10.48550/arXiv.2005.04089>, which appeared as <doi:10.1017/S0266466622000184> in Econometric Theory , Volume 39 , Issue 4 , August 2023 , pp. 789 - 847. The diagnostic "theta" can be used to detect and weed out bootstrap-based procedures that provably have size equal to one for a given testing problem. The implementation covers a large variety of bootstrap-based procedures, cf. the above mentioned article for details. A function for computing bootstrap p-values is provided.
Author: David Preinerstorfer [aut, cre]
Maintainer: David Preinerstorfer <david.preinerstorfer@wu.ac.at>

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Package BayesSUR updated to version 2.3-2 with previous version 2.3-1 dated 2025-11-16

Title: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package tourr updated to version 1.2.7 with previous version 1.2.6 dated 2025-07-13

Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Author: Hadley Wickham [aut, ctb] , Dianne Cook [aut, cre] , Nick Spyrison [ctb] , Ursula Laa [ctb] , H. Sherry Zhang [ctb] , Stuart Lee [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package RJSONIO updated to version 2.0.5 with previous version 2.0.0 dated 2025-04-05

Title: Serialize R Objects to JSON
Description: Converts R objects to and from JavaScript Object Notation (JSON). The package provides a stable interface for reading JSON from strings, files, and connections, and for serializing common R objects, including vectors, lists, data frames, arrays, environments, and S4 objects. It also exposes parser handlers, callbacks, and S4 methods for applications that need customized JSON processing while preserving established RJSONIO behavior.
Author: Yaoxiang Li [aut, ctb, cre] , CRAN Team [aut], Duncan Temple Lang [aut] , Jonathan Wallace [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package measureR updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-13

Title: Tools for Educational and Psychological Measurement
Description: 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>. Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The CFA/SEM module features interactive model specification, automatic model comparison, modification indices, comprehensive fit diagnostics, path diagram visualization, and HTML report generation. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interfac [...truncated...]
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package MIRDD updated to version 0.2.3 with previous version 0.2.2 dated 2026-04-21

Title: Diagnostic Tool by Multiple Imputation for Regression Discontinuity Designs
Description: Estimates average treatment effects at the cutoff based on sharp regression discontinuity designs (RDD) and multiple imputation regression discontinuity designs (MIRDD). It provides diagnostic tools for RDD by comparing results with those from MIRDD, as proposed in Takahashi (2023) <doi:10.1080/03610918.2021.1960374>. The package includes datasets from Takahashi (2023) and Takahashi (2026) <doi:10.1016/j.softx.2026.102707>.
Author: Masayoshi Takahashi [aut, cre]
Maintainer: Masayoshi Takahashi <mtakahashi615@g.chuo-u.ac.jp>

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Package hdf5lib updated to version 2.1.1.1 with previous version 2.1.1.0 dated 2026-04-02

Title: Headers and Static Libraries for 'HDF5'
Description: Provides a self-contained, static build of the 'HDF5' (Hierarchical Data Format 5) 'C' library (release 2.1.1) for R package developers. Designed for use in the 'LinkingTo' field, it enables zero-dependency integration by building the library entirely from source during installation. Additionally, it compiles and internally links a comprehensive suite of advanced compression filters and their 'HDF5' plugins (Zstd, LZ4, Blosc/Blosc2, Snappy, ZFP, Bzip2, LZF, Bitshuffle, szip, and gzip). These plugins are integrated out-of-the-box, allowing downstream packages to utilize high-performance compression directly through the standard 'HDF5' API while keeping the underlying third-party headers fully encapsulated. 'HDF5' is developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd], The HDF Group [ctb, cph] , The Board of Trustees of the University of Illinois [cph] , Jean-loup Gailly [ctb, cph] , Mark Adler [ctb, cph] , Kiyoshi Masui [...truncated...]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package DataSimilarity updated to version 0.4.0 with previous version 0.3.0 dated 2026-02-27

Title: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
Description: A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>. An empirical comparison of the methods was performed in Stolte et al. (2026) <doi:10.48550/arXiv.2604.11458> for categorical data and in Stolte et al. (2026) <doi:10.48550/arXiv.2604.12327> for numeric data.
Author: Marieke Stolte [aut, cre, cph] , Luca Sauer [aut] , David Alvarez-Melis [ctb] , Nabarun Deb [ctb] , <https://github.com/NabarunD/MultiDistFree.git>), Bodhisattva Sen [ctb] , <https://github.com/NabarunD/MultiDistFree.git>)
Maintainer: Marieke Stolte <marieke.stolte@ibe.med.uni-muenchen.de>

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Package scStability (with last version 1.0.3) was removed from CRAN

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

2025-06-23 1.0.3
2025-06-20 1.0.2
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Package string2path (with last version 0.3.1) was removed from CRAN

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2026-04-15 0.3.1
2026-04-13 0.3.0
2025-03-25 0.2.2
2025-03-20 0.2.1
2025-02-08 0.2.0
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2024-05-31 0.1.7
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2023-07-11 0.1.5
2023-07-09 0.1.4
2023-01-23 0.1.3
2022-12-17 0.1.2
2022-08-06 0.1.1
2022-07-17 0.1.0
2021-11-22 0.0.4
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Package eurlex (with last version 0.4.9) was removed from CRAN

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2026-02-06 0.4.9
2024-07-03 0.4.8
2024-02-27 0.4.7

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Package tok (with last version 0.2.2) was removed from CRAN

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2026-04-22 0.2.2
2025-09-30 0.2.1
2025-08-27 0.2.0
2024-09-04 0.1.4
2024-07-06 0.1.3
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Package sfsmisc updated to version 1.1-24 with previous version 1.1-23 dated 2025-11-21

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package cNORM updated to version 3.5.4 with previous version 3.5.3 dated 2026-05-01

Title: Continuous Norming
Description: A comprehensive toolkit for generating continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and even supports conventional norming. It generates norm tables including confidence intervals. It also includes methods f [...truncated...]
Author: Alexandra Lenhard [aut] , Wolfgang Lenhard [cre, aut] , Sebastian Gary [aut], WPS Publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

Diff between cNORM versions 3.5.3 dated 2026-05-01 and 3.5.4 dated 2026-05-15

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 cNORM-3.5.4/cNORM/DESCRIPTION                                                       |    8 
 cNORM-3.5.4/cNORM/MD5                                                               |  135 -
 cNORM-3.5.4/cNORM/NAMESPACE                                                         |    4 
 cNORM-3.5.4/cNORM/NEWS.md                                                           |   27 
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 cNORM-3.5.4/cNORM/R/cNORM.R                                                         |   53 
 cNORM-3.5.4/cNORM/R/data.R                                                          |    2 
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 cNORM-3.5.4/cNORM/R/plot.R                                                          |  149 -
 cNORM-3.5.4/cNORM/R/preparation.R                                                   |  242 +-
 cNORM-3.5.4/cNORM/R/shash.R                                                         |    2 
 cNORM-3.5.4/cNORM/README.md                                                         |   11 
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 cNORM-3.5.4/cNORM/man/cNORM.GUI2.Rd                                                 |    6 
 cNORM-3.5.4/cNORM/man/cNORM.Rd                                                      |    6 
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 cNORM-3.5.4/cNORM/man/cnorm.cv.Rd                                                   |  222 +-
 cNORM-3.5.4/cNORM/man/compare.Rd                                                    |   24 
 cNORM-3.5.4/cNORM/man/computePowers.Rd                                              |    8 
 cNORM-3.5.4/cNORM/man/derivationTable.Rd                                            |   18 
 cNORM-3.5.4/cNORM/man/derive.Rd                                                     |   82 
 cNORM-3.5.4/cNORM/man/elfe.Rd                                                       |    2 
 cNORM-3.5.4/cNORM/man/getNormCurve.Rd                                               |   18 
 cNORM-3.5.4/cNORM/man/modelSummary.Rd                                               |   64 
 cNORM-3.5.4/cNORM/man/normTable.Rd                                                  |   18 
 cNORM-3.5.4/cNORM/man/plot.cnorm.Rd                                                 |   24 
 cNORM-3.5.4/cNORM/man/plot.cnormBetaBinomial.Rd                                     |   42 
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 cNORM-3.5.4/cNORM/man/plotDensity.Rd                                                |   24 
 cNORM-3.5.4/cNORM/man/plotDerivative.Rd                                             |   24 
 cNORM-3.5.4/cNORM/man/plotNorm.Rd                                                   |   36 
 cNORM-3.5.4/cNORM/man/plotNormCurves.Rd                                             |   28 
 cNORM-3.5.4/cNORM/man/plotPercentileSeries.Rd                                       |   24 
 cNORM-3.5.4/cNORM/man/plotPercentiles.Rd                                            |   24 
 cNORM-3.5.4/cNORM/man/plotRaw.Rd                                                    |   24 
 cNORM-3.5.4/cNORM/man/plotSubset.Rd                                                 |   24 
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 cNORM-3.5.4/cNORM/man/predict.cnormBetaBinomial2.Rd                                 |   18 
 cNORM-3.5.4/cNORM/man/predict.cnormShash.Rd                                         |   18 
 cNORM-3.5.4/cNORM/man/predictNorm.Rd                                                |   18 
 cNORM-3.5.4/cNORM/man/predictRaw.Rd                                                 |   18 
 cNORM-3.5.4/cNORM/man/prepareData.Rd                                                |    8 
 cNORM-3.5.4/cNORM/man/print.cnorm.Rd                                                |   68 
 cNORM-3.5.4/cNORM/man/printSubset.Rd                                                |   80 
 cNORM-3.5.4/cNORM/man/rangeCheck.Rd                                                 |  116 -
 cNORM-3.5.4/cNORM/man/rankByGroup.Rd                                                |    8 
 cNORM-3.5.4/cNORM/man/rankBySlidingWindow.Rd                                        |   10 
 cNORM-3.5.4/cNORM/man/rawTable.Rd                                                   |   18 
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 cNORM-3.5.4/cNORM/man/subsample_lm.Rd                                               |    1 
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 cNORM-3.5.4/cNORM/man/taylorSwift.Rd                                                |    5 
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Package reporter updated to version 1.4.7 with previous version 1.4.6 dated 2026-02-07

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Bill Huang [aut], Kevin Kramer [ctb], Duong Tran [ctb], Raphael Huang [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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