Tue, 08 Sep 2026

Package wcvpmatch updated to version 0.0.2 with previous version 0.0.1 dated 2026-03-23

Title: Taxonomic Name Reconciliation Against the 'WCVP' Backbone
Description: Standardizes and reconciles scientific plant names against a World Checklist of Vascular Plants ('WCVP')-style taxonomic backbone. The package parses names into taxonomic components and applies staged exact and fuzzy matching for binomial and trinomial inputs, including infraspecific rank-aware checks. It also returns accepted-name context and row-level matching flags to support reproducible, auditable preprocessing for downstream biodiversity, spatial, and trait analyses. A user-supplied backbone can be passed through 'target_df'; when the optional companion package 'wcvpdata' is installed, its default checklist can also be used.
Author: Paul Efren Santos Andrade [aut, cre, cph]
Maintainer: Paul Efren Santos Andrade <paulefrens@gmail.com>

Diff between wcvpmatch versions 0.0.1 dated 2026-03-23 and 0.0.2 dated 2026-09-08

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More information about wcvpmatch at CRAN
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Package epibyhand updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-05

Title: Worked Derivations for Classical Epidemiological Measures
Description: Computes classical epidemiological measures and returns the complete worked derivation alongside the result: every intermediate quantity, the formula, and the formula with the observed numbers substituted in. Intended for teaching, for checking hand calculations, and for generating worked solutions in course materials. Scope is deliberately limited to methods a student can compute by hand on paper. Methods follow Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>, Greenland and Robins (1985, Biometrics 41, 55-68), Robins, Breslow and Greenland (1986, Biometrics 42, 311-323), and Breslow and Day (1980, IARC Scientific Publications No. 32).
Author: Raj Subedi [aut, cre]
Maintainer: Raj Subedi <rajsubediresearch@gmail.com>

Diff between epibyhand versions 0.1.0 dated 2026-08-05 and 0.2.0 dated 2026-09-08

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Package vecmatch updated to version 1.4.0 with previous version 1.3.0 dated 2025-12-01

Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Description: Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>

Diff between vecmatch versions 1.3.0 dated 2025-12-01 and 1.4.0 dated 2026-09-08

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More information about vecmatch at CRAN
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Package traj updated to version 3.1.0 with previous version 3.0.1 dated 2026-03-15

Title: Feature-Based Clustering of Longitudinal Trajectories
Description: Identifies clusters of individual longitudinal trajectories. In the spirit of Leffondre et al. (2004), the procedure involves identifying each trajectory to a point in the space of measures. In this context, a measure is a quantity meant to capture a certain characteristic feature of the trajectory. The points in the space of measures are then clustered using a version of the Spectral Clustering algorithm.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Jean-Benoit Bergeron [ctb], Gillis Delmas [ctb], Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package penetrance updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-15

Title: Methods for Penetrance Estimation in Family-Based Studies
Description: Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of disease manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2025) <doi:10.1093/bioadv/vbaf154>.
Author: Sol Rosito [cre], Nicolas Kubista [aut], BayesMendel Lab [aut], Giovanni Parmigiani [aut], Danielle Braun [aut], Zaid Al-Ississ [aut], Alice Zhang [aut]
Maintainer: Sol Rosito <bmendel@jimmy.harvard.edu>

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More information about penetrance at CRAN
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Package NMsim updated to version 0.2.8 with previous version 0.2.7 dated 2026-03-19

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package zarr updated to version 0.5.1 with previous version 0.5.0 dated 2026-08-30

Title: Native and Extensible R Driver for 'Zarr'
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package rmoriebricklayer updated to version 0.3.9 with previous version 0.3.7 dated 2026-08-05

Title: Reproducible Data Capsules with Provenance and Fallback
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Also ships a small compiled C core (fast summary statistics and a self-contained 'SHA-256') that sibling packages in the 'rmorie' ecosystem reach through 'LinkingTo' for a single, shared numeric and provenance-hashing backend.
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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Package NHSRdatasets updated to version 1.0.0 with previous version 0.3.0 dated 2021-03-13

Title: NHS and Healthcare-Related Data for Education and Training
Description: Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.
Author: Zoe Turner [aut, cre] , Chris Mainey [aut] , Tom Jemmett [aut] , Fran Barton [aut] , Gary Hutson [aut] , NHS-R community [cph]
Maintainer: Zoe Turner <zoe.turner3@nhs.net>

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Package xts updated to version 0.14.3 with previous version 0.14.2 dated 2026-02-28

Title: eXtensible Time Series
Description: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Ross Bennett [ctb], Corwin Joy [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

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Package vprint updated to version 1.4 with previous version 1.3 dated 2026-07-23

Title: More Flexible Form of Boolean Verbose
Description: R functions are not supposed to print text without giving the user the option to turn the printing off or on using a Boolean 'verbose' in a construct like 'if(verbose) print(...)'. But this black/white approach is rather rigid, and an approach with shades of gray might be more appropriate in many circumstances. As of Version 1.4, also supports text and background colors, as well as text styles.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

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Package SimInf updated to version 11.1.0 with previous version 10.1.0 dated 2025-11-17

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides function [...truncated...]
Author: Stefan Widgren [aut, cre] , Robin Eriksson [aut] , Stefan Engblom [aut] , Pavol Bauer [aut] , Thomas Rosendal [ctb] , Ivana Rodriguez Ewerloef [ctb] , Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Permanent link

Package rquery updated to version 1.5.1 with previous version 1.4.99 dated 2023-08-19

Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible table modeling step, plus explicit query reasoning and checking.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between rquery versions 1.4.99 dated 2023-08-19 and 1.5.1 dated 2026-09-08

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Package kvh updated to version 1.5.0 with previous version 1.4.2 dated 2022-01-26

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package cSEM updated to version 0.7.1 with previous version 0.6.1 dated 2025-05-16

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or Bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut] , Florian Schuberth [aut, cre] , Tamara Schamberger [ctb] , Michael Klesel [ctb] , Huu Phuc Nguyen [ctb] , Theo K. Dijkstra [ctb], Joerg Henseler [ctb] , Gloria Pietropolli [ctb] , Kjell S. Slupphaug [ctb] , Jason J. Berger [ [...truncated...]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

Diff between cSEM versions 0.6.1 dated 2025-05-16 and 0.7.1 dated 2026-09-08

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More information about cSEM at CRAN
Permanent link

Package terra updated to version 1.9-50 with previous version 1.9-46 dated 2026-08-22

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Andrew Brown [aut] , A. Marcia Barbosa [aut] , Emanuele Cordano [aut] , Krzysztof Dyba [aut] , Roger Bivand [ctb] , Michael Chirico [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.9-46 dated 2026-08-22 and 1.9-50 dated 2026-09-08

 DESCRIPTION                   |   10 +-
 MD5                           |   87 +++++++++----------
 NAMESPACE                     |    2 
 NEWS.md                       |   28 +++++-
 R/RcppExports.R               |    4 
 R/animate.R                   |   11 ++
 R/gdal.R                      |    4 
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 inst/tinytest/test_cats.R     |   26 +++--
 man/RGB.Rd                    |    2 
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 45 files changed, 730 insertions(+), 312 deletions(-)

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Package free1way.docreg updated to version 1.0-3 with previous version 1.0-2 dated 2026-06-30

Title: Additional Documentation and Regression Tests for 'stats::free1way()'
Description: Function 'stats::free1way()' implements semiparametrically efficient population- and permutation-based inference in distribution-free stratified K-sample oneway layouts. This package provides additional documentation, including a detailed description of the implementation, and serves as a home for extensive regression tests.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Frank E Harrell Jr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between free1way.docreg versions 1.0-2 dated 2026-06-30 and 1.0-3 dated 2026-09-08

 DESCRIPTION                 |    8 +++----
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 inst/doc/free1way.R         |   45 ------------------------------------------
 inst/doc/free1way.Rnw       |   47 +++-----------------------------------------
 inst/doc/free1way.pdf       |binary
 inst/nuweb/free1way.w       |   47 +++-----------------------------------------
 tests/free1way-Ex.Rout.save |   43 ++++++++++++++++++++++++----------------
 vignettes/free1way.Rnw      |   47 +++-----------------------------------------
 9 files changed, 60 insertions(+), 202 deletions(-)

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New package spatcovar with initial version 0.1.0
Package: spatcovar
Title: Construct Spatial Covariates from Polygon Data
Version: 0.1.0
Description: Provides a consistent interface for constructing commonly used spatial covariates from polygon data. Computes polygon areas, distances to reference features, point and line intersection counts, line lengths within polygons, polygon overlap areas and shares, and raster zonal summaries. Handles coordinate reference system validation, geometry repair, unit conversion, row preservation, and standardised missing value semantics while relying on established spatial libraries for the underlying geometry operations.
License: MIT + file LICENSE
URL: https://github.com/emre-cebeci/spatcovar
BugReports: https://github.com/emre-cebeci/spatcovar/issues
Encoding: UTF-8
Imports: exactextractr (>= 0.9.0), sf (>= 1.0.0), terra, units
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 01:53:51 UTC; emrecebeci
Author: Emre Cebeci [aut, cre]
Maintainer: Emre Cebeci <cebeciemre1@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:02 UTC

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Package qrcm updated to version 3.4 with previous version 3.3 dated 2026-06-22

Title: Quantile Regression Coefficients Modeling
Description: Parametric modeling of quantile regression coefficient functions.
Author: Paolo Frumento [aut, cre]
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

Diff between qrcm versions 3.3 dated 2026-06-22 and 3.4 dated 2026-09-08

 DESCRIPTION         |    8 ++++----
 MD5                 |    8 ++++----
 NEWS.md             |    6 +++---
 R/iqrL1_fit.R       |   22 ++++++++++++----------
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 5 files changed, 25 insertions(+), 23 deletions(-)

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New package PseudoVoigtMixt with initial version 0.1.0
Package: PseudoVoigtMixt
Title: Multivariate Pseudo-Voigt Mixture Models
Version: 0.1.0
Description: Fits multivariate pseudo-Voigt mixture models for model-based clustering and outlier detection. The model combines multivariate Gaussian and Cauchy distributions within each cluster to accommodate heavy-tailed observations and decompose the data into a high-density region and a low-density remainder, with outliers more likely to arise from the latter.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, tclust
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 21:47:44 UTC; babakdehkordi
Author: Babak Fathollahi Dehkordi [aut, cre], Jeffery Andrews [aut, ths]
Maintainer: Babak Fathollahi Dehkordi <babak.dehkordi.f@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:20:15 UTC

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New package pressfreedom with initial version 0.2.0
Package: pressfreedom
Title: Press Freedom Dashboard
Version: 0.2.0
Date: 2026-08-25
Description: A Shiny dashboard for exploring Reporters Without Borders (RWB) Press Freedom Index data from 2002 to the present. Combines RWB scores with United Nations M49 geographic classifications to enable comparisons across countries, regions, and time.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: pressfreedom.data (>= 0.3.0), shiny, bslib, dplyr, plotly, ggplot2, htmlwidgets, RColorBrewer, countrycode, tidyr, purrr
Suggests: pkgdown, testthat (>= 3.0.0)
URL: https://github.com/petzi53/pressfreedom, https://www.peter-baumgartner.net/pressfreedom/
BugReports: https://github.com/petzi53/pressfreedom/issues
NeedsCompilation: no
Packaged: 2026-08-26 11:19:53 UTC; petzi
Author: Peter Baumgartner [aut, cre]
Maintainer: Peter Baumgartner <petzi53@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:02 UTC

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New package pinsearch with initial version 0.1.6
Package: pinsearch
Title: Specification Search for Partial Factorial Invariance
Version: 0.1.6
Description: Automate specification search for identifying noninvariant items in factorial invariance analyses, as described in Yoon & Millsap (2007) <doi:10.1080/10705510701301677>. Models are specified in 'lavaan' syntax. Supports continuous indicators with loadings, intercepts, residuals (uniqueness), and residual covariances invariance, and ordered categorical indicators with loadings, thresholds, and residual covariances invariance.
License: GPL-3
Encoding: UTF-8
Imports: lavaan, stats
Suggests: boot, difR, knitr, MASS, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/marklhc/pinsearch, https://marklhc.github.io/pinsearch/
BugReports: https://github.com/marklhc/pinsearch/issues
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-26 13:56:43 UTC; marklai
Author: Mark Lai [aut, cre, cph]
Maintainer: Mark Lai <marklhc@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:07 UTC

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New package pdglasso with initial version 2.0.1
Package: pdglasso
Title: Graphical Lasso for Coloured Gaussian Graphical Models for Paired Data
Version: 2.0.1
Description: Implements methods for coloured Gaussian graphical models with equality "R"estrictions on "CON"centration values (RCON models; Højsgaard and Lauritzen (2008) <doi:10.1111/j.1467-9868.2008.00666.x>) for paired data (pdRCON models). Provides an Alternating Direction Method of Multipliers (ADMM) algorithm for solving the penalized likelihood problem introduced by Ranciati and Roverato (2024) <doi:10.1007/s11222-024-10513-6>. Provides functions for computing maximum likelihood estimates and generating simulated pdRCON models and datasets.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.13), MASS
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-08-26 05:01:03 UTC; Lenovo Yoga
Author: Saverio Ranciati [aut] , Alberto Roverato [aut] , Anna Vesely [aut, cre] , Peter Majcen [aut]
Maintainer: Anna Vesely <anna.vesely2@unibo.it>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:09 UTC

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New package octawave with initial version 0.1.0
Package: octawave
Title: Spatial Octahedral Quantum Wave Functions
Version: 0.1.0
Description: Provides mathematical tools for simulating and visualizing three-dimensional octahedral quantum wave interferences and spatial resonance fields. Includes functions for MRI slice generation of fullerene structures and wave models. Computational modeling and three-dimensional visualization of fullerene and octahedral topologies are implemented within the R statistical environment, with interactive plotting powered by 'plotly'. Theoretical foundations are based on the topological frameworks of Cataldo et al. (2015) <doi:10.1002/wcms.1207>, Dresselhaus et al. (1996, ISBN:9780122218200), and Coxeter (1973, ISBN:9780486614809); the geometric principles of equations of the octahedron type are outlined in Bobenko and Suris (2012) <doi:10.1093/imrn/rnr083>. Additional structural and biological symmetry contexts are derived from Bragg (1914) <doi:10.1098/rspa.1914.0015> and Caspar and Klug (1962) <doi:10.1101/sqb.1962.027.001.005>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, grDevices, matlab, plotly
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 10:50:27 UTC; katharinabrecht
Author: Katharina Brecht [aut, cre]
Maintainer: Katharina Brecht <katharina.quantumdata@proton.me>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:13 UTC

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New package numops with initial version 1.0.0
Package: numops
Title: Lightweight Numerical Operations
Version: 1.0.0
URL: https://github.com/Macosso/numops
BugReports: https://github.com/Macosso/numops/issues
Description: Provides dependency-free helpers for recurring numerical tasks on vectors, matrices, and arrays. Operations cover bounds, interpolation, remapping, division, Euclidean norms, normalization, and adjacent differences. Multi-input operations use strict scalar recycling, reject incompatible lengths, and preserve names, dimensions, and dimension names where applicable. Explicit handling of invalid intervals, zero denominators, and zero norms gives consistent behavior for common edge cases.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-26 13:40:12 UTC; Joaoc
Author: Joao Claudio Macosso [aut, cre]
Maintainer: Joao Claudio Macosso <joaoclaudiomacosso@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:18 UTC

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Package lvmPlot updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-30

Title: Publication-Quality Diagrams for Latent Variable Models
Description: Converts output from latent variable model tools into publication-ready path diagrams and model schematics. 'lavaan' fit objects and parameter tables are supported as a primary workflow, with graph adapters for objects from 'blavaan', 'lavaan.mi', 'semPlot', 'mirt', 'eRm', 'OpenMx', 'psych', 'poLCA', 'mclust', 'flexmix', 'lcmm', 'tidyLPA', and 'MplusAutomation' workflows when those packages are available. Supports structural equation and confirmatory factor analysis diagrams, multilevel structural equation models, growth models, higher-order factor models, latent class and profile models, item response theory models, and common mixture outputs through a unified graph grammar with model-aware defaults, geometry diagnostics, layout quality scoring, automatic layout selection, customizable publication styles, 'RStudio' preview, SVG/PDF/PNG export, 'TikZ' output, and reproducible publication bundles. A local 'Shiny' editor supports mouse dragging of nodes and coefficient labels, synchroniz [...truncated...]
Author: Feng Ji [aut, cre]
Maintainer: Feng Ji <f.ji@utoronto.ca>

Diff between lvmPlot versions 0.1.0 dated 2026-06-30 and 0.1.1 dated 2026-09-08

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 31 files changed, 893 insertions(+), 1044 deletions(-)

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Package kro.inv.test updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-30

Title: Kronecker-Invariant Tests for High-Dimensional Separability Testing
Description: Kronecker-invariant tests for high-dimensional separability testing of matrix-variate data, focusing on Gaussian populations as benchmark cases. Tests whether the population covariance matrix is represented as a Kronecker product of row and column covariance matrices. Implements the tests based on the eigenvalues of the sample core whose test statistics are invariant to the separable component of the population covariance matrix, referred to as Kronecker-invariance. Tests constructed using the largest eigenvalue and the separable expansion of the sample core and applying the extended likelihood ratio test for sphericity testing to the sample core. For details, see Sung and Hoff (2025) <doi:10.48550/arXiv.2506.17463>.
Author: Bongjung Sung [aut, cre]
Maintainer: Bongjung Sung <bongjung.sung@epfl.ch>

Diff between kro.inv.test versions 0.1.2 dated 2026-07-30 and 0.1.3 dated 2026-09-08

 DESCRIPTION |   12 ++++++------
 MD5         |    2 +-
 2 files changed, 7 insertions(+), 7 deletions(-)

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New package DPrivStats with initial version 0.1.0
Package: DPrivStats
Title: Differentially Private Classical Statistical Inference
Version: 0.1.0
Description: Implements differentially private (DP) versions of common classical statistical procedures, including descriptive statistics (mean, variance, quantiles, histograms), hypothesis tests (t-test, chi-square, Kolmogorov-Smirnov, one-way ANOVA), and regression (closed-form DP linear regression and DP-SGD for generalized linear models). Provides Laplace and Gaussian mechanisms with analytic calibration, exponential mechanism for medians, privacy-aware confidence intervals that account for both sampling and privacy noise, and privacy budget accounting via basic, advanced, and Renyi differential privacy (RDP) composition. Designed for official statistics and privacy-preserving data analysis research.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, MASS, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
LinkingTo: Rcpp
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/DPrivStats
BugReports: https://github.com/MukulBijalwan/DPrivStats/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2026-08-26 05:58:50 UTC; Admin
Author: Mukul Bijalwan [aut, cre]
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:29 UTC

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New package chms with initial version 7.1
Package: chms
Title: Accelerometer Processing Methods for Cycle 7 of the CHMS
Version: 7.1
Description: 'ActiGraph wGT3X-BT' accelerometer processing methods using the standardized workflow developed by Statistics Canada for cycle 7 of the Canadian Health Measures Survey (CHMS). The package promotes transparent and reproducible data processing while supporting the harmonization of analytical approaches among researchers wishing to align with Statistics Canada's methods. For general details about the processing methods, please consult Clarke J, Gribbon A, St-Laurent M, Ferrao T, Barnes J, Kuzik N, Colley R (2026) <doi: 10.25318/82-003-x202600200001-eng>.
License: MIT + file LICENSE
URL: https://github.com/statcan/chms
BugReports: https://github.com/statcan/chms/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, DBI, dbplyr, dplyr, haven, hms, jsonlite, knitr, lubridate, mirai, mori, parallelly, purrr, R6, readr, rlang, RSQLite, stats, stringr, tidyr, utils, zoo
Suggests: config, ggplot2, janitor, kableExtra, PhysicalActivity, quarto, scales, testthat, tibble
NeedsCompilation: no
Packaged: 2026-08-25 23:45:32 UTC; barnjoe
Author: Joel Barnes [aut, cre], Janine Clarke [ctb], Rachel Colley [ctb], His Majesty the King in Right of Canada, as represented by Statistics Canada [cph]
Maintainer: Joel Barnes <joel.barnes@statcan.gc.ca>
Repository: CRAN
Date/Publication: 2026-09-08 13:30:15 UTC

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Package chilemapas readmission to version 0.4.1 with previous version 0.4.0 dated 2025-12-09

Title: Mapas De Las Divisiones Politicas y Administrativas De Chile (Maps of the Political and Administrative Divisions of Chile)
Description: Mapas terrestres con topologias simplificadas. Estos mapas no tienen precision geodesica, por lo que aplica el DFL-83 de 1979 de la Republica de Chile y se consideran referenciales sin validez legal. No se incluyen los territorios antarticos y bajo ningun evento estos mapas significan que exista una cesion u ocupacion de territorios soberanos en contra del Derecho Internacional por parte de Chile. Esta paquete esta documentado intencionalmente en castellano asciificado para que funcione sin problema en diferentes plataformas. (Terrestrial maps with simplified toplogies. These maps lack geodesic precision, therefore DFL-83 1979 of the Republic of Chile applies and are considered to have no legal validity. Antartic territories are excluded and under no event these maps mean there is a cession or occupation of sovereign territories against International Laws from Chile. This package was intentionally documented in asciified spanish to make it work without problem on different platforms.)
Author: Mauricio Vargas [aut, cre], Roberto Salas [ctb], Joshua Kunst [ctb], Juan Correa [dtc], Ricardo Aravena [ths], Pontificia Universidad Catolica de Chile [cph], Instituto Nacional de Estadisticas [dtc], Subsecretaria de Desarrollo Regional [dtc], Bib [...truncated...]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2025-12-09

Diff between chilemapas versions 0.4.0 dated 2025-12-09 and 0.4.1 dated 2026-09-08

 DESCRIPTION              |   16 ++++++++--------
 MD5                      |   19 ++++++++++---------
 NAMESPACE                |    5 +----
 NEWS.md                  |    6 +++---
 R/administrative-maps.R  |   28 ++++++++++------------------
 R/political-maps.R       |   16 ++++++++--------
 build/vignette.rds       |binary
 inst/WORDLIST            |only
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 inst/doc/chilemapas.html |   14 +++++++-------
 vignettes/chilemapas.Rmd |    1 +
 11 files changed, 49 insertions(+), 57 deletions(-)

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New package BuSuCo with initial version 0.2.0
Package: BuSuCo
Title: Coordinate Survey Samples for Businesses
Version: 0.2.0
Description: Contains a number of functions for different business sample coordination algorithms together with a function to generate customizable business data sets. For more details see Straubinger (2025) <https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2785>.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: data.table, EnvStats
NeedsCompilation: no
Packaged: 2026-08-10 15:03:37 UTC; jstra
Author: Johannes Straubinger [aut, cre], Ralf Muennich [aut]
Maintainer: Johannes Straubinger <johannes.straubinger@statistik.gv.at>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:29 UTC

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New package AQIR with initial version 0.1.0
Package: AQIR
Title: Air Quality Indexing and Statistical Reporting
Version: 0.1.0
Description: Provides a comprehensive framework for Air Quality Index (AQI) analysis from air pollutant concentration data using Central Pollution Control Board (CPCB) criteria. Calculates pollutant-specific AQI sub-indices and derives the overall AQI and its category, identifies the primary pollutant, and summarises, ranks, and visualizes results across monitoring locations. Methodology follows Central Pollution Control Board (2014,"National Air Quality Index") <https://app.cpcbccr.com/ccr_docs/FINAL-REPORT_AQI_.pdf>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, lubridate, stats, utils
Suggests: plotly, readxl
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-26 12:54:54 UTC; JARVIS
Author: S. Hariharan [aut, cre], V. Ra. Charumathi [aut], S. Vishnu Shankar [aut]
Maintainer: S. Hariharan <Hari1971haran@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:40:35 UTC

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New package AIGENIE with initial version 2.1.2
Package: AIGENIE
Title: Automatic Item Generation and Validation via Network-Integrated Evaluation
Version: 2.1.2
Date: 2026-08-26
Maintainer: Hudson Golino <hfg9s@virginia.edu>
Description: Automated psychological scale development and structural validation using large language models (LLMs) and network psychometric methods. Implements the AI-GENIE framework (Automatic Item Generation and Validation via Network-Integrated Evaluation) to generate candidate items, compute embedding representations, and estimate dimensional structure using Exploratory Graph Analysis (EGA). Item quality is evaluated using Unique Variable Analysis to identify redundant items and Bootstrap EGA to assess item and dimension stability. Supports both fully automated item generation and analysis of user-provided item sets, facilitating efficient, theory-informed measurement development prior to empirical data collection.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0), EGAnet (>= 2.4.0)
Imports: reticulate, ggplot2, igraph, patchwork, jsonlite
Suggests: testthat (>= 3.0.0), tictoc, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://laralee.github.io/AIGENIE/, https://github.com/laralee/AIGENIE
BugReports: https://github.com/laralee/AIGENIE/issues
NeedsCompilation: no
Packaged: 2026-08-26 16:37:32 UTC; Hudson
Author: Lara Russell-Lasalandra [aut, cph] , Alexander Christensen [aut, cph] , Hudson Golino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-09-08 13:50:09 UTC

More information about AIGENIE at CRAN
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New package actiwalkability with initial version 0.1.0
Package: actiwalkability
Title: Access the EPA Walkability Index
Version: 0.1.0
Description: Provides helpers for querying the EPA Walkability Index <https://www.epa.gov/smartgrowth/national-walkability-index-user-guide-and-methodology> and working with Census GEOID/FIPS identifiers <https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html>.
License: GPL-3
Depends: R (>= 4.1.0)
Suggests: covr, ggplot2, ggrepel, knitr, withr, testthat, rmarkdown, curl
Encoding: UTF-8
VignetteBuilder: knitr
Imports: arcgislayers, assertthat, dplyr, rlang
URL: https://github.com/jhuwit/actiwalkability, https://jhuwit.github.io/actiwalkability/
BugReports: https://github.com/jhuwit/actiwalkability/issues
NeedsCompilation: no
Packaged: 2026-08-26 01:35:28 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 13:20:09 UTC

More information about actiwalkability at CRAN
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Package vcpen (with last version 1.9) was removed from CRAN

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

2022-01-03 1.9
2020-08-25 1.8
2020-07-20 1.7
2020-07-01 1.6

Permanent link
Package specmine updated to version 4.0.0 with previous version 3.1.8 dated 2026-08-05

Title: Metabolomics and Spectral Data Analysis and Mining
Description: Provides methods for metabolomics and spectral data analysis, including data import, preprocessing, visualization, univariate and multivariate analysis, machine learning, feature selection, and pathway analysis. The package supports analytical workflows for different data types used in metabolomics and spectroscopy. Some optional functionality uses the suggested packages 'cyjShiny' and 'specmine.datasets'. The package 'specmine.datasets' is maintained separately at <https://github.com/PedroFontao/specmine.datasets>.
Author: Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut], Sara Cardoso [aut], Telma Afonso [aut], Bruno Pereira [aut], Pedro Fontao [aut, cre], C. Beleites [cph], Jie Hao [cph]
Maintainer: Pedro Fontao <pedrofontao812004@gmail.com>

Diff between specmine versions 3.1.8 dated 2026-08-05 and 4.0.0 dated 2026-09-08

 DESCRIPTION                          |   14 
 MD5                                  |   63 +
 NAMESPACE                            |  145 ++-
 NEWS.md                              |   27 
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 51 files changed, 2943 insertions(+), 466 deletions(-)

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New package sfOpenData with initial version 0.1.2
Package: sfOpenData
Title: A Lightweight Interface to San Francisco Open Data APIs
Version: 0.1.2
Description: Provides a unified set of helper functions to access datasets from the San Francisco Open Data platform <https://data.sfgov.org/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the San Francisco Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/nyc-open-data-lab/sfOpenData, https://github.com/nyc-open-data-lab/sfOpenData/
BugReports: https://github.com/nyc-open-data-lab/sfOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-25 15:24:03 UTC; christianmartinez
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:11 UTC

More information about sfOpenData at CRAN
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Package productivity updated to version 1.1.2 with previous version 1.1.0 dated 2018-03-28

Title: Indices of Productivity Using Data Envelopment Analysis (DEA)
Description: Levels and changes of productivity and profitability are measured with various indices. The package contains the multiplicatively complete Färe-Primont, Fisher, Hicks-Moorsteen, Laspeyres, Lowe, and Paasche indices, as well as the classic Malmquist productivity index. Färe-Primont and Lowe indices verify the transitivity property and can therefore be used for multilateral or multitemporal comparison. Fisher, Hicks-Moorsteen, Laspeyres, Malmquist, and Paasche indices are not transitive and are only to be used for binary comparison. All indices can also be decomposed into different components, providing insightful information on the sources of productivity and profitability changes. In the use of Malmquist productivity index, the technological change index can be further decomposed into bias technological change components. The package also allows to prohibit technological regression (negative technological change). In the case of the Fisher, Hicks-Moorsteen, Laspeyres, Paasche and the t [...truncated...]
Author: K Herve Dakpo [aut], Yann Desjeux [aut, cre], Laure Latruffe [aut]
Maintainer: Yann Desjeux <yann.desjeux@inra.fr>

Diff between productivity versions 1.1.0 dated 2018-03-28 and 1.1.2 dated 2026-09-08

 DESCRIPTION           |    8 ++++----
 MD5                   |   23 ++++++++++++-----------
 NEWS.md               |   42 ++++++++++++++++++++++++++++++++++++++++++
 R/zzz.R               |    2 +-
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 man/fareprim.Rd       |    6 +++---
 man/fisher.Rd         |    4 ++--
 man/hicksmoorsteen.Rd |    8 ++++----
 man/laspeyres.Rd      |    2 +-
 man/lowe.Rd           |    6 +++---
 man/paasche.Rd        |    4 ++--
 man/usagri.Rd         |    4 ++--
 13 files changed, 78 insertions(+), 35 deletions(-)

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New package nisone with initial version 0.0.2
Package: nisone
Title: Inference for Samples of Size at Least One
Version: 0.0.2
Description: Provides different interval estimates of a location parameter when the sample size is one or more. These include classical methods when n=1, new Bayesian analogues of these classical methods, and extensions of these methods to larger sample sizes in the normal case. Other functions calculate Bayes factors based on t-statistics, and implement the (generalized) inverse normal distribution. These methods are described in Gerard (2026) <doi:10.48550/arXiv.2607.25007>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dcgerard.github.io/nisone/
BugReports: https://github.com/dcgerard/nisone/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 18:56:16 UTC; dgerard
Author: David Gerard [aut, cre]
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 12:40:02 UTC

More information about nisone at CRAN
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Package mlr3learners updated to version 0.16.0 with previous version 0.15.1 dated 2026-07-25

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [aut] , Alexander Winterstetter [ctb], Toby Hocking [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3learners versions 0.15.1 dated 2026-07-25 and 0.16.0 dated 2026-09-08

 DESCRIPTION                           |   10 +++++-----
 MD5                                   |   18 +++++++++---------
 NAMESPACE                             |   24 +++++++++++++++---------
 NEWS.md                               |    4 ++++
 R/LearnerClassifXgboost.R             |   31 +++++++++++++++++++++++++------
 R/LearnerRegrXgboost.R                |   30 ++++++++++++++++++++++++------
 man/mlr_learners_classif.xgboost.Rd   |    7 +++++++
 man/mlr_learners_regr.xgboost.Rd      |    7 +++++++
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 tests/testthat/test_regr_xgboost.R    |   34 ++++++++++++++++++++++++++++++++++
 10 files changed, 164 insertions(+), 35 deletions(-)

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New package minirocketR with initial version 0.1.0
Package: minirocketR
Title: 'MiniRocket': A Very Fast (Almost) Deterministic Transform for Time Series Classification
Version: 0.1.0
Description: High-performance R and C++ implementation using 'OpenMP' parallelization for the 'MiniRocket' algorithm. Extracts features from univariate time series for downstream classification as described in 'Dempster et al.' (2021) (<doi:10.1145/3447548.3467231>).
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: Rcpp (>= 1.0.0), stats
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17, OpenMP
Suggests: knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-25 14:33:03 UTC; manuel
Author: Manuel Villacorta Tilve [aut, cre]
Maintainer: Manuel Villacorta Tilve <mvt.oviedo@yahoo.es>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:25 UTC

More information about minirocketR at CRAN
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New package ekioplot with initial version 1.1.0
Package: ekioplot
Title: EKIO Visual Identity for 'ggplot2'
Version: 1.1.0
Description: Implements EKIO's visual identity for data visualization with 'ggplot2'. Supplies a coordinated theme, color palettes, discrete and continuous scales, and helpers for accessible text contrast. Includes high-level recipes for common charts so analysts can create consistent, publication-ready graphics with concise code.
URL: https://viniciusoike.github.io/ekioplot/, https://github.com/viniciusoike/ekioplot
License: MIT + file LICENSE
Copyright: file inst/COPYRIGHTS
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: cli, ggplot2 (>= 4.0.0), grDevices, rlang, systemfonts
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tibble, yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-25 17:53:34 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusor@ekio.io>
Repository: CRAN
Date/Publication: 2026-09-08 12:30:30 UTC

More information about ekioplot at CRAN
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Package edgemodelr updated to version 0.4.3 with previous version 0.4.1 dated 2026-05-26

Title: Local Large Language Model Inference Engine
Description: Enables R users to run large language models locally using 'GGUF' model files and the 'llama.cpp' inference engine. Provides a complete R interface for loading models, generating text completions, extracting vector representations, and streaming responses in real-time. Includes grammar-constrained generation for structured output, text classification, and retrieval-augmented generation (RAG) pipelines. Supports local inference without requiring cloud APIs or internet connectivity, ensuring complete data privacy and control. Based on the 'llama.cpp' project by Georgi Gerganov (2023) <https://github.com/ggml-org/llama.cpp>.
Author: Pawan Rama Mali [aut, cre, cph], Georgi Gerganov [aut, cph] , The ggml authors [cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , pi6am [ctb] , Ivan Yurchenko [ctb] , Dirk Eddelbuettel [ctb, rev]
Maintainer: Pawan Rama Mali <prm@outlook.in>

Diff between edgemodelr versions 0.4.1 dated 2026-05-26 and 0.4.3 dated 2026-09-08

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 edgemodelr-0.4.3/edgemodelr/src/ggml/ggml-backend-reg.cpp          |   13 
 edgemodelr-0.4.3/edgemodelr/src/ggml/gguf.cpp                      |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-adapter.cpp            |    2 
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 edgemodelr-0.4.3/edgemodelr/src/llama/llama-context.cpp            |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-grammar.cpp            |    6 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-graph.cpp              |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-graph.h                |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-impl.cpp               |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-memory-hybrid-iswa.cpp |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-memory-hybrid.cpp      |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-mmap.cpp               |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-model-loader.cpp       |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-model-loader.h         |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-model-saver.cpp        |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-sampler.cpp            |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/llama-vocab.cpp              |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/glm4-moe.cpp          |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/glm4.cpp              |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/paddleocr.cpp         |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/plamo2.cpp            |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/qwen2vl.cpp           |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/qwen35.cpp            |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/qwen35moe.cpp         |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/qwen3vl-moe.cpp       |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/models/qwen3vl.cpp           |    2 
 edgemodelr-0.4.3/edgemodelr/src/llama/unicode-data.cpp             |    1 
 edgemodelr-0.4.3/edgemodelr/src/llama/unicode-data.h               |    1 
 edgemodelr-0.4.3/edgemodelr/tests/testthat.R                       |    8 
 54 files changed, 1696 insertions(+), 1554 deletions(-)

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New package bbqr with initial version 0.1.0
Package: bbqr
Title: Bayesian Quantile Regression with Lasso and Adaptive Lasso
Version: 0.1.0
Description: Markov chain Monte Carlo samplers for Bayesian quantile regression, based on the asymmetric Laplace distribution and the location-scale mixture representation of Kozumi and Kobayashi (2011) <doi:10.1080/00949655.2010.496117>. A binary response and an observed continuous response are both supported, each with three penalty layers behind one interface: no penalty, following Benoit and Van den Poel (2012) <doi:10.1002/jae.1216>; the Bayesian lasso, following Benoit, Al-Hamzawi and Yu (2013) <doi:10.1007/s00180-013-0439-0>; and the Bayesian adaptive lasso of Rubio Garcia (2023) <https://soar.wichita.edu/entities/publication/a2f86232-4704-4ec2-b685-751e7b04ec42>. In the binary family each is available as published and in a corrected form, the default, in which every improper prior component is replaced by a proper one so that the posterior exists unconditionally; the continuous family ships the corrected form only. The continuous adaptive-lasso layer at its default r [...truncated...]
License: GPL (>= 2)
Copyright: See inst/COPYRIGHTS for the attribution of third-party components inherited from the 'bayesQR' package.
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: graphics, stats, utils
Suggests: testthat (>= 3.0.0), coda, knitr, rmarkdown, quantreg
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://github.com/fernandorubiogarcia/bbqr
BugReports: https://github.com/fernandorubiogarcia/bbqr/issues
Packaged: 2026-08-25 20:39:30 UTC; ferna
Author: Fernando Rubio Garcia [aut, cre] , Dries F. Benoit [ctb, cph] , Rahim Al-Hamzawi [ctb], Keming Yu [ctb], Dirk Van den Poel [ctb]
Maintainer: Fernando Rubio Garcia <j332v755@wichita.edu>
Repository: CRAN
Date/Publication: 2026-09-08 13:00:13 UTC

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Package ato updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-28

Title: Download and Tidy Australian Taxation Office Data
Description: Fetch Australian Taxation Office (ATO) Taxation Statistics and related datasets via the data.gov.au Comprehensive Knowledge Archive Network ('CKAN') API <https://data.gov.au/data/api/3/>. Provides tidy access to individual, company, superannuation, goods and services tax (GST), fringe benefits tax (FBT), Voluntary Tax Transparency Code (VTTC), Pay As You Go (PAYG) withholding, charity, excise, and Corporate Tax Transparency data, plus Petroleum Resource Rent Tax, Medicare Levy Surcharge, and fuel tax credit aggregates. Includes reproducibility helpers (snapshot pinning, SHA-256 cache integrity, session manifest, optional 'Zenodo' deposit), classification crosswalks (ANZSIC 2006 to 2020, ANZSCO 2013 to 2021), panel harmonisation, reconciliation against Final Budget Outcome totals, and real-terms and per-capita helpers backed by bundled Australian Bureau of Statistics (ABS) Consumer Price Index and Estimated Resident Population series. Bridges to the 'taxstats' 2 per cent microdata [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between ato versions 0.1.0 dated 2026-04-28 and 0.1.1 dated 2026-09-08

 DESCRIPTION                          |   26 ++--
 MD5                                  |   75 +++++++------
 NEWS.md                              |  188 +++++++++++++++++++++++++++++++++++
 R/charities.R                        |   29 -----
 R/ckan.R                             |   68 +++++++++---
 R/companies.R                        |   24 +++-
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 R/division293.R                      |   45 +++-----
 R/fbt.R                              |   31 +----
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 R/individuals_demographic.R          |   24 +++-
 R/international.R                    |   15 ++
 R/medicare_levy.R                    |   45 ++++++--
 R/payg.R                             |   29 -----
 R/super.R                            |   16 +-
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 R/vttc.R                             |   33 ++++--
 R/whm.R                              |   45 +++-----
 R/zenodo.R                           |    8 -
 inst/WORDLIST                        |  156 ++++++++++++++++-------------
 inst/doc/canonical-replications.R    |    3 
 inst/doc/canonical-replications.Rmd  |    3 
 inst/doc/canonical-replications.html |   35 +++---
 inst/doc/panel-and-reconcile.R       |    2 
 inst/doc/panel-and-reconcile.Rmd     |    2 
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 man/ato_fuel_tax_credits.Rd          |   19 ++-
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 man/ato_international.Rd             |   12 +-
 man/ato_medicare_levy.Rd             |   21 ++-
 man/ato_whm.Rd                       |   27 ++---
 tests/testthat/test-resolution.R     |only
 vignettes/canonical-replications.Rmd |    3 
 vignettes/panel-and-reconcile.Rmd    |    2 
 39 files changed, 865 insertions(+), 428 deletions(-)

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Package cpp11qpdf (with last version 1.3.5) was removed from CRAN

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

2024-12-19 1.3.5

Permanent link
Package multvardiv updated to version 1.0.16 with previous version 1.0.15 dated 2026-03-05

Title: Multivariate Generalized Gaussian Distribution, Multivariate t Distribution, Multivariate Cauchy Distribution, Statistical Divergence
Description: Multivariate generalized Gaussian distribution, Multivariate Cauchy distribution, Multivariate t distribution. Distance between two distributions (see N. Bouhlel and A. Dziri (2019): <doi:10.1109/LSP.2019.2915000>, N. Bouhlel and D. Rousseau (2022): <doi:10.3390/e24060838>, N. Bouhlel and D. Rousseau (2023): <doi:10.1109/LSP.2023.3324594>). Manipulation of these multivariate probability distributions. This package replaces 'mggd', 'mcauchyd' and 'mstudentd'.
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Maintainer: Pierre Santagostini <pierre.santagostini@institut-agro.fr>

Diff between multvardiv versions 1.0.15 dated 2026-03-05 and 1.0.16 dated 2026-09-08

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More information about multvardiv at CRAN
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Package GPCMlasso updated to version 0.2-0 with previous version 0.1-9 dated 2026-05-11

Title: Regularized Explanatory Generalized Partial Credit Models
Description: Fits explanatory generalized partial credit models and related ordinal item response models with global and item-specific covariate effects. Penalized marginal maximum likelihood estimation is used for variable selection, detection of differential item functioning, and clustering of item-specific covariate effects by fusion penalties. The package extends the regularization approach for differential item functioning in generalized partial credit models proposed by Schauberger and Mair (2020) <doi:10.3758/s13428-019-01224-2>.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between GPCMlasso versions 0.1-9 dated 2026-05-11 and 0.2-0 dated 2026-09-08

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More information about GPCMlasso at CRAN
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Package ClusterR updated to version 1.3.7 with previous version 1.3.6 dated 2025-12-22

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb] , Frederiek - Maarten Kerckhof [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.3.6 dated 2025-12-22 and 1.3.7 dated 2026-09-08

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More information about ClusterR at CRAN
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New package catfda with initial version 0.1.0
Package: catfda
Title: Statistical Analysis for Categorical Functional Data
Version: 0.1.0
Description: Implements methods for estimating latent Gaussian processes from categorical functional data using binomial, probit, or multinomial GAM-based approaches, and for clustering individuals via multivariate functional principal component scores. Methods are described in Champon et al. (2026) <doi:10.1080/01621459.2026.2672226>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/XiaoxiaChampon/catfda
BugReports: https://github.com/XiaoxiaChampon/catfda/issues
Imports: mgcv (>= 1.8-40), stats, rlang (>= 1.0.0), foreach (>= 1.5.0), doRNG (>= 1.8.0)
Suggests: doParallel, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-08-25 13:52:14 UTC; pog66
Author: Xiaoxia Champon [aut], Ana-Maria Staicu [aut], Chathura Jayalath [aut, cre] , Anthony Weishampel [ctb], William Rand [ctb]
Maintainer: Chathura Jayalath <acj.chathura@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-08 11:50:09 UTC

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Package a5R updated to version 0.6.0 with previous version 0.5.0 dated 2026-07-01

Title: 'A5' Discrete Global Grid System
Description: Bindings for the "A5 geospatial index" <https://a5geo.org/>. 'A5' partitions the Earth's surface into pentagonal cells across 31 resolution levels using an equal-area projection onto a dodecahedron. Provides functions for indexing coordinates to cells, traversing the cell hierarchy, computing cell boundaries, and compacting/uncompacting cell sets. Powered by the 'A5' 'Rust' crate via 'extendr'.
Author: Hugh Graham [aut, cre], belian.earth [cph]
Maintainer: Hugh Graham <hugh@belian.earth>

Diff between a5R versions 0.5.0 dated 2026-07-01 and 0.6.0 dated 2026-09-08

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More information about a5R at CRAN
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Package mpshock updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-21

Title: Monetary Policy Shock Series for Empirical Macroeconomics
Description: Provides a curated multi-country collection of monetary policy shock and stance series from the empirical macroeconomics literature, bundled as tidy data frames with provenance metadata. Version 0.1.0 includes thirteen series covering the United States, United Kingdom, and Australia: for the US, the policy news shock of Nakamura and Steinsson (2018) <doi:10.1093/qje/qjy004>, the orthogonalised surprise of Bauer and Swanson (2023) <doi:10.1086/723574>, the target and path factors of the Swanson (2021) <doi:10.1016/j.jmoneco.2020.09.003> extension of Gurkaynak, Sack, and Swanson (2005), the pure monetary policy and central bank information shocks of Jarocinski and Karadi (2020) <doi:10.1257/mac.20180090>, the informationally-robust shock of Miranda-Agrippino and Ricco (2021) <doi:10.1257/mac.20180124>, and the shadow federal funds rate of Wu and Xia (2016) <doi:10.1111/jmcb.12300>; for the UK, the UK Monetary Policy Event-Study Database of Braun, Miran [...truncated...]
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between mpshock versions 0.1.0 dated 2026-04-21 and 0.1.1 dated 2026-09-08

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Package freesurferformats updated to version 1.0.2 with previous version 1.0.1 dated 2026-07-08

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ/NIFTI format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surfa [...truncated...]
Author: Tim Schaefer [aut, cre] , Van Essen Lab [cph] .), Montreal Neurological Institute [cph] .)
Maintainer: Tim Schaefer <ts+code@rcmd.org>

Diff between freesurferformats versions 1.0.1 dated 2026-07-08 and 1.0.2 dated 2026-09-08

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Package fplyr updated to version 2.0.0 with previous version 1.3.0 dated 2023-08-23

Title: Apply Functions to Blocks of Files
Description: Read and process a large delimited file block by block. A block consists of all the contiguous rows that have the same value in the first field. The result can be returned as a list or a data.table, or even directly printed to an output file.
Author: Federico Marotta [aut, cre]
Maintainer: Federico Marotta <federico.marotta96@gmail.com>

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Package tidyllm updated to version 0.6.0 with previous version 0.5.2 dated 2026-07-30

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'OpenAI', 'Gemini', 'Mistral', and local models via 'Ollama' into R workflows. The package supports text, image, audio, video, and document interactions; a unified media interface for attaching inline files or uploading to provider file stores; batch request APIs for cost-efficient large-scale processing; and a pipeline-oriented interface for seamless integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package TestDesign updated to version 1.7.1 with previous version 1.7.0 dated 2024-08-22

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: 'Rsymphony', 'highs', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] , Sangdon Lim [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Package predictset updated to version 0.4.0 with previous version 0.3.0 dated 2026-03-19

Title: Conformal Prediction and Uncertainty Quantification
Description: Implements conformal prediction methods for constructing prediction intervals (regression) and prediction sets (classification) with finite-sample coverage guarantees. Methods include split conformal, 'CV+' and 'Jackknife+' (Barber et al. 2021) <doi:10.1214/20-AOS1965>, 'Conformalized Quantile Regression' (Romano et al. 2019) <doi:10.48550/arXiv.1905.03222>, 'Adaptive Prediction Sets' (Romano, Sesia, Candes 2020) <doi:10.48550/arXiv.2006.02544>, 'Regularized Adaptive Prediction Sets' (Angelopoulos et al. 2021) <doi:10.48550/arXiv.2009.14193>, Mondrian conformal prediction for group-conditional coverage (Vovk, Gammerman, and Shafer 2005) <doi:10.1007/b106715>, weighted conformal prediction for covariate shift (Tibshirani et al. 2019) <doi:10.48550/arXiv.1904.06019>, and adaptive conformal inference for sequential prediction (Gibbs and Candes 2021) <doi:10.48550/arXiv.2106.00170>. All methods are distribution-free and provide calibrated uncertain [...truncated...]
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package magentabook updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-29

Title: HM Treasury Magenta Book Policy Evaluation Primitives
Description: Implements policy evaluation primitives from HM Treasury Magenta Book guidance (HM Treasury, 2026): theory of change and log-frame construction, evaluation planning and stakeholder mapping, power and minimum-detectable-effect calculations for randomised designs (including cluster and stepped-wedge designs following Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007> and Hemming et al. (2015) <doi:10.1136/bmj.h391>), Maryland Scientific Methods Scale ratings, structured confidence ratings, light-weight difference-in-differences and interrupted-time-series estimators (Bernal et al. (2017) <doi:10.1093/ije/dyw098>) with cluster-robust standard errors (Cameron and Miller (2015) <doi:10.3368/jhr.50.2.317>), pre-treatment balance checks (Stuart (2010) <doi:10.1214/09-STS313>), and cost-effectiveness analysis (cost per outcome, incremental cost-effectiveness ratio, acceptability curves, incremental net benefit, quality-adjusted and disability-adjusted life y [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package inequality updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-20

Title: Inequality Measurement, Decomposition, and Poverty Analysis
Description: Tools for measuring income and wealth inequality. Computes the Gini coefficient with bootstrap or asymptotic confidence intervals following Davidson (2009) <doi:10.1016/j.jeconom.2008.11.004>, the extended S-Gini family, Theil T and L indices (generalised entropy family), the Atkinson index, the Kolm absolute inequality index, Palma ratio, Hoover index, percentile ratios, and Lorenz curves. Supports between-within group decomposition following Bourguignon (1979) <doi:10.2307/1914138>, income share tabulation, concentration indices for health inequality with Erreygers (2009) correction, Kakwani tax progressivity and Reynolds-Smolensky redistribution indices, Foster-Greer-Thorbecke poverty measures including the Sen index, growth incidence curves following Ravallion and Chen (2003) <doi:10.1016/S0165-1765(02)00205-7>, and Wolfson polarisation. All functions accept optional survey weights and work with data from any source.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package debtkit updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-31

Title: Debt Sustainability Analysis and Fiscal Risk Assessment
Description: Analyses government debt sustainability using the standard debt dynamics framework from Blanchard (1990) <doi:10.1787/budget-v2-art12-en> and the IMF Debt Sustainability Analysis methodology (IMF, 2013) and the Sovereign Risk and Debt Sustainability Framework (IMF, 2022). Projects debt-to-GDP paths, decomposes historical debt changes into interest, growth, and primary balance contributions, and estimates fiscal reaction functions following Bohn (1998) <doi:10.1162/003355398555793>. Produces stochastic fan charts via Monte Carlo simulation, standardised stress tests, and IMF- style heat map risk assessments. Computes S1/S2 sustainability gap indicators used by the European Commission. All methods are pure computation with no external dependencies beyond base R; works with fiscal data from any source.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package tidySEM updated to version 0.2.12 with previous version 0.2.11 dated 2026-08-20

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize. Includes functionality to estimate latent class analyses, and to plot 'dagitty' and 'igraph' objects.
Author: Caspar J. van Lissa [aut, cre] , Mauricio Garnier-Villarreal [ctb] , Frank C Gootjes [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package groupTesting readmission to version 1.3.1 with previous version 1.3.0 dated 2024-08-17

Title: Simulating and Modeling Group (Pooled) Testing Data
Description: Provides an expectation-maximization (EM) algorithm using the approach introduced in Warasi (2023) <doi:10.1080/03610918.2021.2009867>. The EM algorithm can be used to estimate the prevalence (overall proportion) of a disease and to estimate a binary regression model from among the class of generalized linear models based on group testing data. The estimation framework we consider offers a flexible and general approach; i.e., its application is not limited to any specific group testing protocol. Consequently, the EM algorithm can model data arising from simple pooling as well as advanced pooling such as hierarchical testing, array testing, and quality control pooling. Also, provided are functions that can be used to conduct the Wald tests described in Buse (1982) <doi:10.1080/00031305.1982.10482817> and to simulate the group testing data described in Kim et al. (2007) <doi:10.1111/j.1541-0420.2007.00817.x>. We offer a function to compute relative efficiency measures, [...truncated...]
Author: Md S. Warasi [aut, cre]
Maintainer: Md S. Warasi <msarker@radford.edu>

This is a re-admission after prior archival of version 1.3.0 dated 2024-08-17

Diff between groupTesting versions 1.3.0 dated 2024-08-17 and 1.3.1 dated 2026-09-08

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Package fable.intermittent updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-27

Title: Forecasting Models for Intermittent Time Series
Description: Extends the 'fable' framework to support forecasting methods specifically designed for intermittent time series data, where demand occurs sporadically with many zero values. All methods produce probabilistic forecasts returned as 'distributional' objects. The returned forecasts can be used to evaluate accuracy, plot and print the results seamlessly with 'fable'. The methods include: Harvey, Fernandes (1989) <doi:10.1080/07350015.1989.10509750>, Willemain, Smart, Schwarz (2004) <doi:10.1016/S0169-2070(03)00013-X>, Zhou, Viswanathan (2011) <doi:10.1016/j.ijpe.2010.09.021>, Snyder, Ord, Beaumont (2012) <doi:10.1016/j.ijforecast.2011.03.009>, Kolassa (2016) <doi:10.1016/j.ijforecast.2015.12.004>, Hasni, Aguir, Babai, Jemai (2019) <doi:10.1080/00207543.2018.1424375>, Damato, Azzimonti, Corani (2025) <doi:10.1016/j.ijforecast.2025.10.001>, Sbrana (2025) <doi:10.1080/01605682.2025.2569661>, Sbrana, Babai (2026) <doi:10.1016/j.ejor.2026.06.009 [...truncated...]
Author: Stefano Damato [aut, cre, cph] , Lorenzo Zambon [aut] , Dario Azzimonti [aut]
Maintainer: Stefano Damato <stefanodamato128@gmail.com>

Diff between fable.intermittent versions 0.2.0 dated 2026-07-27 and 0.3.0 dated 2026-09-08

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Package carat readmission to version 2.3.0 with previous version 2.2.1 dated 2023-09-05

Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria. See Ma W, Ye X, Tu F, and Hu F (2023) <doi: 10.18637/jss.v107.i02> for details.
Author: Fuyi Tu [aut, cre], Xiaoqing Ye [aut], Wei Ma [aut, ths], Feifang Hu [aut, ths]
Maintainer: Fuyi Tu <tufy@cqupt.edu.cn>

This is a re-admission after prior archival of version 2.2.1 dated 2023-09-05

Diff between carat versions 2.2.1 dated 2023-09-05 and 2.3.0 dated 2026-09-08

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Package Sequential updated to version 4.6.2 with previous version 4.6.1 dated 2026-07-05

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled. For regression versions of the methods, Monte Carlo and asymptotic methods are used.
Author: Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

Diff between Sequential versions 4.6.1 dated 2026-07-05 and 4.6.2 dated 2026-09-08

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Package sense updated to version 1.2.0 with previous version 1.1.0 dated 2024-06-19

Title: Automatic Stacked Ensemble for Regression Tasks
Description: Stacked ensembles for regression tasks using the 'mlr3' framework, internal preprocessing and out-of-fold stacking, and hyperparameter tuning using grid or random search. Supports numeric and categorical predictors.
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package rintcal updated to version 1.4.2 with previous version 1.4.1 dated 2026-06-23

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre] , Christopher Bronk Ramsey [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package RcppArmadillo updated to version 15.6.0-1 with previous version 15.4.2-1 dated 2026-07-25

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package omopgenerics updated to version 1.4.2 with previous version 1.4.1 dated 2026-07-23

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package kfda updated to version 1.0.1 with previous version 1.0.0 dated 2017-09-27

Title: Kernel Fisher Discriminant Analysis
Description: Kernel Fisher Discriminant Analysis (KFDA) is performed using Kernel Principal Component Analysis (KPCA) and Fisher Discriminant Analysis (FDA). There are some similar packages. First, 'lfda' is a package that performs Local Fisher Discriminant Analysis (LFDA) and performs other functions. In particular, 'lfda' seems to be impossible to test because it needs the label information of the data in the function argument. Also, the 'ks' package has a limited dimension, which makes it difficult to analyze properly. This package is a simple and practical package for KFDA based on the paper of Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F. (2004) <DOI:10.1016/j.patcog.2003.10.015>.
Author: Donghwan Kim [aut, cre]
Maintainer: Donghwan Kim <donhkim9714@korea.ac.kr>

Diff between kfda versions 1.0.0 dated 2017-09-27 and 1.0.1 dated 2026-09-08

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Package FactoMineR updated to version 2.17 with previous version 2.16 dated 2026-07-02

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson [aut, cre] , Julie Josse [aut], Sebastien Le [aut], Jeremy Mazet [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package ECGofTestDx updated to version 0.6 with previous version 0.5 dated 2024-10-11

Title: A Goodness-of-Fit Test for Elliptical Distributions with Diagnostic Capabilities
Description: A goodness-of-fit test for elliptical distributions with diagnostic capabilities. Gilles R. Ducharme, Pierre Lafaye de Micheaux (2020) <doi:10.1016/j.jmva.2020.104602>.
Author: Gilles R Ducharme [aut], Pierre Lafaye De Micheaux [aut, cre]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between ECGofTestDx versions 0.5 dated 2024-10-11 and 0.6 dated 2026-09-08

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Package distributional updated to version 0.9.0 with previous version 0.8.1 dated 2026-06-27

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb] , Stefano Damato [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package censored updated to version 0.3.5 with previous version 0.3.4 dated 2026-04-04

Title: 'parsnip' Engines for Survival Models
Description: Engines for survival models from the 'parsnip' package. These include parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g., Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
Author: Emil Hvitfeldt [aut] , Hannah Frick [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

Diff between censored versions 0.3.4 dated 2026-04-04 and 0.3.5 dated 2026-09-08

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Package datom updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-01

Title: A Unified Framework for Versioned, Traceable Tabular Data
Description: Provides versioned storage for tabular data without a database or a server. Each table is written as an immutable, content-addressed version -- identical content is detected and stored only once -- while its version history and metadata are kept as code in a 'git' repository and the data itself in a local filesystem or cloud object storage ('S3'). Any past version can be read back exactly by its identifier, and each table records the sources it was derived from, so a project carries full data lineage. A lightweight reader role retrieves current or historical data from storage alone, without 'git' or write access, giving downstream analyses and pipelines a single versioned source of truth. It targets analytical and scientific data management, such as preparing clinical study datasets, and is designed as a foundation for higher-level governance tooling.
Author: Afshin Mashadi-Hossein [aut, cre, cph]
Maintainer: Afshin Mashadi-Hossein <amashadihossein@gmail.com>

Diff between datom versions 0.1.1 dated 2026-09-01 and 0.1.2 dated 2026-09-08

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