Tue, 15 Sep 2026

Package nanoparquet updated to version 0.5.2 with previous version 0.5.1 dated 2026-04-20

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between nanoparquet versions 0.5.1 dated 2026-04-20 and 0.5.2 dated 2026-09-15

 DESCRIPTION                                       |    8 -
 MD5                                               |   53 +++++-----
 NAMESPACE                                         |    1 
 NEWS.md                                           |   24 ++++
 R/options.R                                       |    6 -
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Package MD2sample updated to version 1.4.0 with previous version 1.3.0 dated 2026-08-04

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

Diff between MD2sample versions 1.3.0 dated 2026-08-04 and 1.4.0 dated 2026-09-15

 DESCRIPTION                                         |    6 
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Package dowser updated to version 2.5.2 with previous version 2.5.1 dated 2026-08-20

Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.
Author: Kenneth Hoehn [aut, cre], Cole Jensen [aut], Jessie Fielding [aut], Hunter Melton [aut], Susanna Marquez [ctb], Jason Vander Heiden [ctb], Erick Matsen [ctb], Steven Kleinstein [aut, cph]
Maintainer: Kenneth Hoehn <kenneth.b.hoehn@dartmouth.edu>

Diff between dowser versions 2.5.1 dated 2026-08-20 and 2.5.2 dated 2026-09-15

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Package rayrender updated to version 0.42.0 with previous version 0.41.3 dated 2026-06-16

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayrender versions 0.41.3 dated 2026-06-16 and 0.42.0 dated 2026-09-15

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More information about rayrender at CRAN
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Package pks updated to version 0.8-0 with previous version 0.7-0 dated 2026-03-20

Title: Probabilistic Knowledge Structures
Description: Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999) and the simple learning model (SLM), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).
Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian Mollenhauer [aut], Paul Doerrbecker [aut], Pasquale Anselmi [ctb], Debora de Chiusole [ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

Diff between pks versions 0.7-0 dated 2026-03-20 and 0.8-0 dated 2026-09-15

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Package gleifr updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-18

Title: Client for the 'GLEIF' API
Description: Download legal entity reference data from the 'Global Legal Entity Identifier Foundation' ('GLEIF') API. Retrieve Legal Entity Identifier ('LEI') records, their direct and ultimate parent and child relationships, accredited issuers ('Local Operating Units'), and mappings from 'LEI' codes to other identifiers such as 'ISIN', 'BIC', and 'MIC'. See <https://www.gleif.org/en/lei-data/gleif-api> for further details.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package ftExtra updated to version 0.6.5 with previous version 0.6.4 dated 2024-05-09

Title: Extensions for 'Flextable'
Description: Build display tables easily by extending the functionality of the 'flextable' package. Features include spanning header, grouping rows, parsing markdown and so on.
Author: Atsushi Yasumoto [aut, cph, cre] , David Gohel [ctb], Romain Francois [ctb] , Tatsuya Shima [ctb]
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package BioStatR updated to version 4.1.2 with previous version 4.1.1 dated 2025-09-15

Title: Initiation à La Statistique Avec R
Description: Datasets and functions for the book "Initiation à la Statistique avec R", F. Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth edition).
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package DeCAFS updated to version 3.3.6 with previous version 3.3.5 dated 2025-12-08

Title: Detecting Changes in Autocorrelated and Fluctuating Signals
Description: Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.
Author: Gaetano Romano [aut, cre], Guillem Rigaill [aut], Vincent Runge [aut], Paul Fearnhead [aut]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

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Package PatientGenerator updated to version 0.2.4 with previous version 0.1.4 dated 2026-05-04

Title: Generator of Synthetic Patient Data for the OMOP Common Data Model
Description: Tools to generate synthetic patient-level test datasets in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Includes a chat-driven generator backed by large language models and an interactive 'shiny' designer for editing CDM test sets.
Author: Cesar Barboza [aut, cre] , Ger Inberg [aut] , Adam Black [aut]
Maintainer: Cesar Barboza <c.barboza@mi-erasmusmc.nl>

Diff between PatientGenerator versions 0.1.4 dated 2026-05-04 and 0.2.4 dated 2026-09-15

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 PatientGenerator-0.2.4/PatientGenerator/DESCRIPTION                                                            |   21 
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 PatientGenerator-0.2.4/PatientGenerator/NAMESPACE                                                              |    2 
 PatientGenerator-0.2.4/PatientGenerator/NEWS.md                                                                |   26 
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Package geozarr updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-23

Title: GeoZarr Conventions for Geospatial Data in Zarr Stores
Description: Large-scale gridded data stores are increasingly using the Zarr format. GeoZarr is defined in terms of a number of community conventions built on top of the Zarr specification. These conventions specify how Zarr metadata is to be interpreted to attach semantic meaning to the data in the Zarr array providing the metadata. This package implements a number of community conventions on top of the 'zarr' package, enabling the R community to use geospatial data stored in Zarr.
Author: Patrick Van Laake [aut, cre]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between geozarr versions 0.1.0 dated 2026-07-23 and 0.2.0 dated 2026-09-15

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Package exdqlm updated to version 1.1.2 with previous version 1.1.1 dated 2026-08-28

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package TraMineR updated to version 2.2-14 with previous version 2.2-13 dated 2025-12-14

Title: Trajectory Miner: a Sequence Analysis Toolkit
Description: Set of sequence analysis tools for manipulating, describing and rendering categorical sequences, and more generally mining sequence data in the field of social sciences. Although this sequence analysis package is primarily intended for state or event sequences that describe time use or life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and functions for extracting the most frequent event subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph] , Nicolas Mueller [aut], Reto Buergin [aut] , Pierre-Alexandre Fonta [ctb], Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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Package elfgen updated to version 2.3.6 with previous version 2.3.5 dated 2026-05-23

Title: Ecological Limit Function Model Generation and Analysis Toolkit
Description: A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the 'elfgen' framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).
Author: Joseph Kleiner [aut] , Robert Burgholzer [ctb] , Connor Brogan [cre]
Maintainer: Connor Brogan <connor.brogan@deq.virginia.gov>

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Package dyadicMarkov updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-21

Title: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R
Description: Provides methods for analyzing categorical dyadic sequences using transition matrices within the Longitudinal Actor-Partner Interdependence Model and Markov-chain framework. The package supports empirical transition counts, maximum likelihood estimation of transition probabilities, and identification of univariate and bivariate patterns of interaction in dyadic sequences.
Author: Mattia Boellenruecher [aut, cre, cph] , Megane Bollenruecher [aut] , Jean-Philippe Antonietti [aut]
Maintainer: Mattia Boellenruecher <mboellenruec@student.ethz.ch>

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Package varmapack updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-12

Title: Burn-in-Free Simulation and Analysis of Gaussian VARMA Models
Description: Simulates Gaussian vector autoregressive-moving-average time-series models without a burn-in period by drawing startup shocks from their model-implied conditional distribution. Also provides model test cases, autocovariances, spectral radii, and impulse responses.
Author: Kristjan Jonasson [aut, cre]
Maintainer: Kristjan Jonasson <jonasson@hi.is>

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Package lidR readmission to version 4.3.3 with previous version 4.3.2 dated 2026-04-21

Title: Airborne Point Cloud Data Manipulation and Visualization for Forestry Applications
Description: Airborne point cloud interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

This is a re-admission after prior archival of version 4.3.2 dated 2026-04-21

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Package fluidsynth updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-11

Title: Read and Play Digital Music (MIDI)
Description: Bindings to 'libfluidsynth' to parse and synthesize MIDI files. It can read MIDI into a data frame, play it on the local audio device, or convert into an audio file.
Author: Jeroen Ooms [aut, cre] , S. Christian Collins [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package BioGSP updated to version 1.0.1 with previous version 1.0.0 dated 2026-02-02

Title: Biological Graph Signal Processing for Spatial Data Analysis
Description: Implementation of Graph Signal Processing (GSP) methods including Spectral Graph Wavelet Transform (SGWT) for analyzing spatial patterns in biological data. Based on Hammond, Vandergheynst, and Gribonval (2011) <doi:10.1016/j.acha.2010.04.005>. Provides tools for multi-scale analysis of biology spatial signals, including forward and inverse transforms, energy analysis, and visualization functions tailored for biological applications. Biological application example is on Stephanie, Yao, Yuzhou (2024) <doi:10.1101/2024.12.20.629650>.
Author: Yuzhou Chang [aut, cre]
Maintainer: Yuzhou Chang <cyz931123@gmail.com>

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Package SATS updated to version 1.0.11 with previous version 1.0.10 dated 2026-07-09

Title: Signature Analyzer for Targeted Sequencing (SATS)
Description: Performs mutational signature analysis for tumors profiled by targeted sequencing. Unlike the canonical analysis of mutational signatures, SATS factorizes the mutation count matrix into a panel-context matrix (measuring the number of mutation opportunities per million base pairs for each tumor), a signature profile matrix, and a signature activity matrix. SATS also calculates the expected number of mutations attributed to each signature, namely the signature burden, for each tumor profiled by targeted sequencing. For more details see Lee et al. (2024) <doi:10.1101/2023.05.18.23290188>.
Author: DongHyuk Lee [aut], Bin Zhu [aut], Bill Wheeler [cre]
Maintainer: Bill Wheeler <wheelerb@imsweb.com>

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Package probaverse updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-14

Title: Install and Load the 'probaverse' Packages
Description: The 'probaverse' is a suite of packages designed to facilitate creating advanced statistical models through probability distributions. These packages work best when loaded together because they share a common design philosophy and focus on different aspects of developing statistical models. Inspired by the 'tidyverse' package, the 'probaverse' package makes it easy to load the entire suite of 'probaverse' packages together.
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>

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Package multivator updated to version 1.2-1 with previous version 1.1-11 dated 2023-08-22

Title: A Multivariate Emulator
Description: A multivariate generalization of the emulator package.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package maestro updated to version 1.3.1 with previous version 1.3.0 dated 2026-08-31

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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 39 files changed, 290 insertions(+), 220 deletions(-)

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New package landmarked with initial version 0.2.0
Package: landmarked
Title: Plot Adjusted Kaplan-Meier Estimates from a Landmark Time
Version: 0.2.0
Description: Plots contextual landmark Kaplan-Meier curves. An extension of the 'survminer::ggsurvplot()' function that allows the specification of a landmark time and an optional label. The period before the landmark is displayed as a pooled survival curve, while curves beyond the landmark are presented according to the groups defined in the supplied 'survival::survfit' object.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/CStats/landmarked
Imports: dplyr, ggplot2, survival, survminer
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-08 10:31:38 UTC; christopherb
Author: Chris Brown [aut, cre, cph]
Maintainer: Chris Brown <c.brown@sydney.edu.au>
Repository: CRAN
Date/Publication: 2026-09-15 14:30:02 UTC

More information about landmarked at CRAN
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New package hdcce with initial version 0.1.0
Package: hdcce
Title: Estimation and Inference for High-Dimensional Panel Data Models with Interactive Fixed Effects
Version: 0.1.0
Description: Estimation and inference for panel data models with interactive fixed effects. The methods cover i) the linear specification of Ruecker, M., Vogt, M., Linton, O. and Walsh, C. (2025) "Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects" <doi:10.3982/QE2308>, and ii) the dictionary design of Ruecker, M., Vogt, M. and Linton, O. (2026) "High-Dimensional Panel Data Models with Interactive Fixed Effects: Beyond the Linear Case" <doi:10.48550/arXiv.2608.02055>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, glmnet, mvtnorm
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
URL: https://github.com/RueckerM/hdcce
NeedsCompilation: no
Packaged: 2026-09-08 08:39:45 UTC; maximilianrucker
Author: Maximilian Ruecker [aut, cre], Michael Vogt [aut], Oliver Linton [aut], Christopher Walsh [aut]
Maintainer: Maximilian Ruecker <maximilian.ruecker@uni-ulm.de>
Repository: CRAN
Date/Publication: 2026-09-15 14:20:02 UTC

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New package autorelevate with initial version 0.1.0
Package: autorelevate
Title: The Autorelevated Family of Probability Distributions and Estimation Methods
Version: 0.1.0
Description: Implements the autorelevated family of probability distributions, obtained by applying the autorelevation transformation of Krakowski (1973) <doi:10.1051/ro/197307V201071> and Dileepkumar and Sankaran (2022) to ten baseline probability distributions: Weibull, Lomax, Burr XII, Gompertz, Log-Logistic, Chen, Exponentiated Exponential, Power Lindley, Log-normal, and Gamma. The Weibull member of the family is studied in detail by Dileep Kumar, Shabeer, and Sankaran (2025) <doi:10.1080/01966324.2026.2665479>. The Lomax member is studied by Sharma, Pal, Bhardwaj, and Tyagi (2026, submitted), who establish its upside-down bathtub hazard shape. Supplies vectorized density, distribution, survival, hazard, quantile (via the negative branch of the Lambert W function), and random-generation functions for all ten members of the family. It also implements Maximum Likelihood, Maximum Product of Spacings, Least Squares, Weighted Least Squares, and Cramer-von Mises estimation methods along w [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/vksharma-bhu/autorelevate
BugReports: https://github.com/vksharma-bhu/autorelevate/issues
LazyData: true
Depends: R (>= 3.5)
Imports: stats, graphics, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-08 07:26:52 UTC; vishu
Author: Vikas Kumar Sharma [aut, cre]
Maintainer: Vikas Kumar Sharma <vksharma@bhu.ac.in>
Repository: CRAN
Date/Publication: 2026-09-15 14:10:02 UTC

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Package FMP (with last version 1.4) was removed from CRAN

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

2016-02-09 1.4
2016-02-05 1.3
2016-01-28 1.1

Permanent link
Package RODBC updated to version 1.3-26.3 with previous version 1.3-26.2 dated 2026-08-11

Title: ODBC Database Access
Description: An ODBC database interface.
Author: Brian Ripley [aut, cre], Michael Lapsley [aut]
Maintainer: Brian Ripley <Brian.Ripley@R-project.org>

Diff between RODBC versions 1.3-26.2 dated 2026-08-11 and 1.3-26.3 dated 2026-09-15

 DESCRIPTION         |   10 +++++-----
 MD5                 |   10 +++++-----
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 inst/doc/RODBC.Rnw  |   20 ++++++++++----------
 inst/doc/RODBC.pdf  |binary
 vignettes/RODBC.Rnw |   20 ++++++++++----------
 6 files changed, 30 insertions(+), 30 deletions(-)

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New package oneway with initial version 0.0.2
Package: oneway
Title: One-Way Statistical Analyses
Version: 0.0.2
Description: Performs one-way tests of assumptions (normality and homoscedasticity), analysis of variance, robust and nonparametric alternatives, multiple comparison procedures, effect size estimators, confidence intervals, and descriptive summaries. Functions are designed with a consistent interface to support reproducible and user-friendly statistical workflows. For more details see Howell (2010, ISBN:978-0-495-59784-1), Zar (2014, ISBN:978-0-13-100846-5), Hollander et al. (2014, ISBN:978-0-470-38737-5), Montgomery (2017, ISBN:978-1-119-11347-8), Lakens (2013) <doi:10.3389/fpsyg.2013.00863>, and Piepho (2004) <doi:10.1198/1061860043515>.
License: MIT + file LICENSE
URL: https://github.com/P10911004-NPUST/oneway
BugReports: https://github.com/P10911004-NPUST/oneway/issues
Encoding: UTF-8
Imports: normality, outlying, varequal
Suggests: ggplot2, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-08 03:40:01 UTC; ABRC
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:20:02 UTC

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New package netDFI with initial version 1.2.0
Package: netDFI
Title: Dynamic Fit Index for Network Models
Version: 1.2.0
Description: Implement methods to determine the dynamic fit index cutoffs for network models. The package allows users to evaluate model fit based on their own model statement, model type, and sample size. Methods are described in Du and Epskamp (2026) <doi:10.31234/osf.io/5wj2y_v2>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/xinkaidupsy/netDFI
BugReports: https://github.com/xinkaidupsy/netDFI/issues
Imports: bootnet, dplyr, future, future.apply, progressr, psychonetrics, qgraph, ggplot2, patchwork
Suggests: psych
NeedsCompilation: no
Packaged: 2026-09-08 03:09:18 UTC; K
Author: Xinkai Du [aut, cre]
Maintainer: Xinkai Du <xinkai.du.xd@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:20:08 UTC

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New package ggicons with initial version 0.1.0
Package: ggicons
Title: Icon Geometries for 'ggplot2'
Version: 0.1.0
Description: Provides icon geometries for 'ggplot2', using vector icon sets from the 'icons' package. Icons can be drawn as points in place of ordinary markers, styled with the usual colour, size, alpha and angle aesthetics, and mapped from discrete values or passed through directly. Icons also appear in legend keys, as fixed-position annotations, and as axis, strip and legend labels. Pictograms extend this to isotype-style unit charts, waffle/percentage charts and rating widgets, encoding a value as a grid of repeated icons.
License: MIT + file LICENSE
URL: https://pkg.mitchelloharawild.com/ggicons/, https://github.com/mitchelloharawild/ggicons
BugReports: https://github.com/mitchelloharawild/ggicons/issues
Imports: cli, ggplot2 (>= 4.0.0), grid, grImport2, icons (>= 1.0.0), rlang (>= 1.1.0), rsvg, scales, vctrs
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-08 00:13:07 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:10:02 UTC

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New package FCtools with initial version 2.3.1
Package: FCtools
Title: Functional Connectivity Tools
Version: 2.3.1
Date: 2026-09-08
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>
Description: Analyzing and visualizing brain connectivity data, including network-based statistics (NBS) for linear and linear mixed models, both at edge level and functional network level (Yeo's 7-networks (Schaefer et al. (2017) <doi:10.1093/cercor/bhx179>)). Plots include edge-wise connectograms, chord diagrams, network connectograms, heatmaps, and 3D glass brain connectivity plots. 'FCtools' works with vectors of edges (derived from connectivity/adjacency matrices) from the 'Brainnetome' (Fan et al. (2016) <doi:10.1093/cercor/bhw157>), 'Schaefer' (100 or 200, each with 19 'ASeg' subcortices) (Schaefer et al. (2017) <doi:10.1093/cercor/bhx179>, Fischl et al. (2002) <doi:10.1016/S0896-6273(02)00569-X>), and 'Automated Anatomical Labeling' (AAL) atlases (Tzourio-Mazoyer et al. (2002) <doi:10.1006/nimg.2001.0978>).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://cogbrainhealthlab.github.io/FCtools/
Depends: R (>= 4.1.0)
Imports: Rfast, circlize, cowplot, doParallel, doSNOW, foreach, ggplot2, ggplotify, ggraph, grid, gridExtra, igraph, parallel, plotly, png, reshape2
NeedsCompilation: no
Packaged: 2026-09-08 00:58:08 UTC; charly.billaud
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-15 13:10:08 UTC

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New package evaluatellm with initial version 0.1.0
Package: evaluatellm
Title: Statistical Inference for Language Model Evaluations
Version: 0.1.0
Description: Treats language model evaluations as statistical experiments and supplies the inference they require. Provides central limit theorem and cluster-robust standard errors for evaluation scores, paired and unpaired model comparisons, variance decomposition when several responses are drawn per question, control-variate variance reduction, multiplicity adjustment across benchmark suites, and power and minimum detectable effect calculations for planning evaluations, following Miller (2024) <doi:10.48550/arXiv.2411.00640>. For evaluations scored by a model judge, implements agreement statistics against a human gold standard and prediction-powered inference (Angelopoulos et al. 2023) <doi:10.1126/science.adi6000> with the power-tuned estimator of Angelopoulos, Bates and Jordan (2023) <doi:10.48550/arXiv.2311.01453>, so a small set of human labels debiases a large set of judge scores. Leaderboards are supported through bootstrap rank intervals and Bradley-Terry ratings (Bradley [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://charlescoverdale.github.io/evaluatellm/, https://github.com/charlescoverdale/evaluatellm
BugReports: https://github.com/charlescoverdale/evaluatellm/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), graphics, grDevices, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sandwich
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-08 07:19:25 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:40:02 UTC

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New package Entropic.Scree with initial version 1.0.1
Package: Entropic.Scree
Title: Information-Theoretic Dimensionality Estimation
Version: 1.0.1
Copyright: Terrence J. Lee-St. John (Enli)
Description: An information-theoretic diagnostic technique for estimating the intrinsic dimensionality of tabular datasets. Evaluates shared probability mass via a transformed mutual information metric. Aims to extract the Intrinsic Generative Rank (r) and structural topology. For full methodological details, see the preprint by Lee-St. John (2026) <https://zenodo.org/records/22028087>.
URL: https://zenodo.org/records/22028087
License: Apache License 2.0
Encoding: UTF-8
Imports: data.table, ggplot2, infotheo, parallel, patchwork, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-09-08 08:12:20 UTC; tjlee
Author: Terrence J. Lee-St. John [aut, cre]
Maintainer: Terrence J. Lee-St. John <terry@enli.com.au>
Repository: CRAN
Date/Publication: 2026-09-15 14:00:02 UTC

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New package simPsyStudy with initial version 1.1.8
Package: simPsyStudy
Title: Simulation of Ordinal Responses for Psychometric Studies
Version: 1.1.8
Date: 2026-09-07
Description: Provides tools to define factorial simulation conditions and generate binary or ordinal item responses under common-factor and probit graded response model parameterizations. Supports multivariate normal and correlated gamma latent traits, reproducible replications, parameter conversion, and structured storage of generated datasets. The graded response model follows Samejima (1969).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: MASS, moments, MultiRNG, Rdpack
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Boklauth/simPsyStudy
BugReports: https://github.com/Boklauth/simPsyStudy/issues
NeedsCompilation: no
Packaged: 2026-09-07 23:03:46 UTC; BKlauth
Author: Bo Klauth [aut, cre]
Maintainer: Bo Klauth <bklauth@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:00:02 UTC

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Package metafor updated to version 5.2-1 with previous version 5.0-1 dated 2026-04-26

Title: Meta-Analysis Package for R
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta [...truncated...]
Author: Wolfgang Viechtbauer [aut, cre]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

Diff between metafor versions 5.0-1 dated 2026-04-26 and 5.2-1 dated 2026-09-15

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 R/plot.cumul.rma.r                                         |   16 
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 R/plot.rma.mh.r                                            |    5 
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 R/print.hettest.r                                          |only
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 R/ranktest.r                                               |    4 
 R/rcalc.r                                                  |    2 
 R/regtest.r                                                |    4 
 R/rma.glmm.r                                               |    2 
 R/rma.mh.r                                                 |    4 
 R/rma.mv.r                                                 |    8 
 R/rma.peto.r                                               |    2 
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 man/vcov.rma.Rd                                            |    6 
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 tests/testthat/test_analysis_example_dersimonian2007.r     |    2 
 tests/testthat/test_analysis_example_gleser2009.r          |   20 
 tests/testthat/test_analysis_example_konstantopoulos2011.r |    2 
 tests/testthat/test_analysis_example_law2016.r             |    4 
 tests/testthat/test_analysis_example_morris2008.r          |    2 
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 tests/testthat/test_misc_escalc.r                          |    4 
 tests/testthat/test_misc_fitstats.r                        |    6 
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 tests/testthat/test_misc_matreg.r                          |    2 
 tests/testthat/test_misc_permutest.r                       |    2 
 tests/testthat/test_misc_rma_mv.r                          |    4 
 tests/testthat/test_misc_to_long_table_wide.r              |   22 
 tests/testthat/test_misc_vcalc.r                           |    6 
 tests/testthat/test_misc_vcov.r                            |    4 
 tests/testthat/test_misc_vec2mat.r                         |    8 
 tests/testthat/test_plots_caterpillar_plot.r               |    8 
 155 files changed, 1847 insertions(+), 1019 deletions(-)

More information about metafor at CRAN
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New package ConsTree with initial version 1.0.0
Package: ConsTree
Title: Fast Algorithms for Phylogenetic Consensus Trees
Version: 1.0.0
License: GPL (>= 3)
Copyright: Incorporates C++ code from 'FACT' (GPL-3, doi:10.1145/2925985), 'FACT2' and 'FDCT', by kind permission of Jesper Jansson and colleagues.
Description: Efficient construction of phylogenetic consensus trees. Methods include strict, majority-rule, majority-rule (+), loose (combinable component / semi-strict), greedy, Adams, frequency difference, R*, and local consensus.
URL: https://constree.github.io/
BugReports: https://github.com/ms609/ConsTree/issues/
Depends: R (>= 4.1.0),
Imports: ape (>= 5.6), Rcpp (>= 1.0.0), Rdpack (>= 2.6), TreeTools (>= 2.3.0),
LinkingTo: Rcpp, TreeTools (>= 2.1.0),
SystemRequirements: C++17
Suggests: knitr, Quartet, rmarkdown, spelling, testthat (>= 3.0), TreeSearch (>= 2.0.0),
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-09-07 16:42:01 UTC; pjjg18
Author: Martin R. Smith [aut, cre, cph] , Jesper Jansson [cph] ), Chuanqi Shen [cph] ), Wing-Kin Sung [cph] )
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-15 12:10:19 UTC

More information about ConsTree at CRAN
Permanent link

Package choicedata updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-09

Title: Working with Choice Data
Description: Offers a set of objects tailored to simplify working with choice data. It enables the computation of choice probabilities and the likelihood of various types of choice models based on given data.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between choicedata versions 0.1.0 dated 2025-10-09 and 0.2.0 dated 2026-09-15

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 choicedata-0.2.0/choicedata/NEWS.md                                     |   44 
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 choicedata-0.2.0/choicedata/R/choice_covariates.R                       | 1084 +-
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 choicedata-0.2.0/choicedata/R/choice_probabilities.R                    | 4148 +++++-----
 choicedata-0.2.0/choicedata/R/choice_responses.R                        |  752 +
 choicedata-0.2.0/choicedata/R/choicedata-checks.R                       | 1365 ++-
 choicedata-0.2.0/choicedata/R/choicedata-package.R                      |  105 
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 choicedata-0.2.0/choicedata/man/choice_responses.Rd                     |  175 
 choicedata-0.2.0/choicedata/man/choicedata-package.Rd                   |   57 
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 choicedata-0.2.0/choicedata/man/decider_identifiers_to_cross_section.Rd |   48 
 choicedata-0.2.0/choicedata/man/expand_Tp.Rd                            |   52 
 choicedata-0.2.0/choicedata/man/figures/logo.png                        |binary
 choicedata-0.2.0/choicedata/man/get_decider_identifiers.Rd              |   40 
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 choicedata-0.2.0/choicedata/tests/testthat/test-choice_alternatives.R   |  137 
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 choicedata-0.2.0/choicedata/tests/testthat/test-choice_data.R           | 1432 +--
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_effects.R        |  399 
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_formula.R        |  664 -
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_identifiers.R    |  542 -
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_likelihood.R     |  556 -
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_parameters.R     |  644 +
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_preferences.R    |  157 
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_probabilities.R  | 3635 ++++----
 choicedata-0.2.0/choicedata/tests/testthat/test-choice_responses.R      |  402 
 68 files changed, 16253 insertions(+), 12386 deletions(-)

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New package bioclients with initial version 0.1.1
Package: bioclients
Title: Clients for Biological Database Web Services
Version: 0.1.1
Description: Look up genes, variants and proteins from R, without writing a client for every biological web service. Each service gets one client that makes the request and returns a table. Parsing is a separate function that needs no network, so it can run on a saved response and be tested offline. Transport, retries, caching and error handling are left to the 'biohttp' package. Dependencies for single services are optional, so you do not install what you will not use. The services covered include 'Ensembl', described in Dyer et al. (2025) <doi:10.1093/nar/gkae1071>, 'UniProt', in The UniProt Consortium (2025) <doi:10.1093/nar/gkae1010>, 'gnomAD', in Chen et al. (2024) <doi:10.1038/s41586-023-06045-0>, 'Open Targets', in Buniello et al. (2025) <doi:10.1093/nar/gkae1128>, and the 'AlphaFold' Protein Structure Database, in Varadi et al. (2024) <doi:10.1093/nar/gkad1011>. Each client's help page cites the service it calls.
License: MIT + file LICENSE
URL: https://github.com/samuelbharti/bioclients, https://www.samuelbharti.com/bioclients/
BugReports: https://github.com/samuelbharti/bioclients/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: biohttp (>= 0.1.2), httr2, tibble
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-09-07 22:57:13 UTC; Samuel
Author: Samuel Bharti [aut, cre, cph] , Barret Schloerke [ths] , Carson Sievert [ths] , Posit Software, PBC [cph, fnd]
Maintainer: Samuel Bharti <samuelbharti.io@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 13:00:08 UTC

More information about bioclients at CRAN
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Package asremlPlus updated to version 4.4.65 with previous version 4.4.63 dated 2026-07-10

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between asremlPlus versions 4.4.63 dated 2026-07-10 and 4.4.65 dated 2026-09-15

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 asremlPlus-4.4.65/asremlPlus/DESCRIPTION                                 |    8 
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 asremlPlus-4.4.65/asremlPlus/tests/testthat/test42alldiffsasr.r          |   50 ++---
 asremlPlus-4.4.65/asremlPlus/tests/testthat/test42alldiffslme.r          |    2 
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New package ardldml with initial version 0.1.0
Package: ardldml
Title: Bounds Testing for Cointegration with Many Persistent Controls
Version: 0.1.0
Description: An implementation of the DML-Bounds procedure of Villena (2026) <doi:10.2139/ssrn.6472826> for testing cointegration in data-rich time-series settings. The Autoregressive Distributed Lag (ARDL) bounds test of Pesaran, Shin and Smith (2001) <doi:10.1002/jae.616> avoids pretesting the integration order of the regressors but is not designed for a high-dimensional conditioning set. Residualising the lagged levels against persistent controls can absorb stochastic trends and thereby change the finite-sample null distribution, so what governs the null is the effective number of stochastic trends surviving residualisation rather than the integration order of the original regressors. The procedure combines h-block cross-fitting, a balanced nuisance projection in the Double Machine Learning (DML) style of Chernozhukov and others (2018) <doi:10.1111/ectj.12097>, adaptive weighting after Zou (2006) <doi:10.1198/016214506000000735>, and a restricted system wild bootstrap tha [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: glmnet, stats, graphics, grDevices, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tseries
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/merwanroudane/ardldml
BugReports: https://github.com/merwanroudane/ardldml/issues
NeedsCompilation: no
Packaged: 2026-09-07 18:36:46 UTC; HP
Author: Merwan Roudane [aut, cre, cph]
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 12:20:09 UTC

More information about ardldml at CRAN
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New package xnicher with initial version 1.0.0
Package: xnicher
Title: Estimates Ecological Niche Models Using Ellipses
Version: 1.0.0
Description: Ecological niche model estimation using ellipsoidal geometry under an M hypothesis. Fits nine likelihood families (presence-only, weighted, inverse-probability-weighted, skew-normal, skew-normal-weighted, skew-t, skew-t-weighted, ncst, and ncst-weighted) via multi-start optimisation with Sobol sequences. Methods for the optimisation of ellipses parameters are as described in Jimenez et al. (2022) <doi:10.1016/j.ecolmodel.2021.109823>.
URL: https://github.com/alrobles/xnicher
BugReports: https://github.com/alrobles/xnicher/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: checkmate, Rcpp (>= 1.1.0), RcppParallel, stats, terra, ucminfcpp, utils
Suggests: ggplot2 (>= 3.0.0), knitr, pomp, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppEigen, RcppParallel
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-09-07 03:46:00 UTC; alrobles
Author: Angel Robles [aut, cre], Laura Jimenez [aut, ctb]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 11:20:02 UTC

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Package text2map updated to version 0.4.0 with previous version 0.2.3 dated 2026-02-11

Title: R Tools for Text Matrices, Embeddings, and Networks
Description: This is a collection of functions optimized for working with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Author: Dustin Stoltz [aut, cre] , Marshall Taylor [aut]
Maintainer: Dustin Stoltz <dss219@lehigh.edu>

Diff between text2map versions 0.2.3 dated 2026-02-11 and 0.4.0 dated 2026-09-15

 DESCRIPTION                                    |   47 +-
 MD5                                            |  138 ++++----
 NAMESPACE                                      |   40 +-
 NEWS.md                                        |   69 ++++
 R/CMDist.R                                     |  299 ++++++++++++++----
 R/CoCA.R                                       |  222 +++++++++----
 R/data.R                                       |   43 ++
 R/utils-dtm.R                                  |  384 ++++++++++++------------
 R/utils-embedding-matrices.R                   |  181 ++++++++++-
 R/utils-embedding-relco.R                      |  190 +++++++----
 R/utils-embedding-vectors.R                    |  232 +++++++++++---
 R/utils-methods.R                              |   12 
 R/utils-perm.R                                 |  142 ++++++--
 R/utils-textnets.R                             |   60 ++-
 R/utils.R                                      |  122 ++++---
 R/zzz.R                                        |  200 ------------
 README.md                                      |    8 
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 man/CMDist.Rd                                  |   18 -
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 man/doc_similarity.Rd                          |   11 
 man/dtm_builder.Rd                             |    2 
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 man/dtm_resampler.Rd                           |   11 
 man/dtm_stats.Rd                               |   12 
 man/find_projection.Rd                         |    9 
 man/find_rejection.Rd                          |    9 
 man/find_transformation.Rd                     |   19 +
 man/ft_wv_sample.Rd                            |    6 
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 man/get_direction.Rd                           |   32 +-
 man/get_regions.Rd                             |    2 
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 man/meta_shakespeare.Rd                        |    9 
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 man/plot.CoCA.Rd                               |   42 ++
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 man/print.CoCA.Rd                              |   24 +
 man/rancor_builder.Rd                          |   15 
 man/rancors_builder.Rd                         |   19 +
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 man/stoplists.Rd                               |   17 -
 man/test_anchors.Rd                            |    8 
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 tests/testthat/test-utils-embedding-vectors.R  |  233 ++++++++++++++
 tests/testthat/test-utils-embeddings.R         |  239 ++++++++++++++
 tests/testthat/test-utils-perm.R               |  314 +++++++++++++++++++
 tests/testthat/test-utils-stopper.R            |   23 +
 tests/testthat/test-utils-textnets.R           |  114 ++++++-
 tests/testthat/test-utils.R                    |   26 +
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 tests/testthat/test-z-nocran-CMDist-parallel.R |   69 +++-
 75 files changed, 3394 insertions(+), 1212 deletions(-)

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New package staggeredGMM with initial version 0.1.0
Package: staggeredGMM
Title: GMM Estimation of Treatment Effects Under Staggered Adoption
Version: 0.1.0
Description: Estimates cohort-by-time average treatment effects under staggered treatment adoption by the generalized method of moments. Three weighting schemes are provided, corresponding to a pooled stationary covariance, a cohort-specific stationary covariance, and an unrestricted within-cohort covariance. Optional adjustment for baseline covariates by outcome regression, and a serial-correlation robust over-identification test of parallel trends and no anticipation, are also supported. The methods are described in Arora and Bijani (2026) <doi:10.2139/ssrn.6558759>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: fixest, MASS, stats, utils
Suggests: covr, data.table, knitr, rmarkdown, testthat (>= 3.1.5)
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/RishabhBijani/staggeredGMM
BugReports: https://github.com/RishabhBijani/staggeredGMM/issues
NeedsCompilation: no
Packaged: 2026-09-06 17:00:22 UTC; rishabhbijani
Author: Rishabh Bijani [aut, cre, cph] , Parush Arora [aut, cph]
Maintainer: Rishabh Bijani <rishabhbijani@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 11:00:10 UTC

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New package SAMPLE with initial version 1.0.1
Package: SAMPLE
Title: Estimate Sampling Effort for Species Occurrence Rates
Version: 1.0.1
Maintainer: Henrique Bravo <henrique.bravo@rug.nl>
Description: Estimates the sampling effort needed to obtain stable species occurrence and prevalence rates from presence-absence data. The method repeatedly subsamples observations, evaluates changes in estimated rates, and reports the minimum stable sample size. For methodological details, see Bravo et al. (2025) <doi:10.1002/ece3.70998>.
URL: https://github.com/yacinebenchehida/SAMPLE
BugReports: https://github.com/yacinebenchehida/SAMPLE/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.4.2), Rmisc (>= 1.5.1), RColorBrewer (>= 1.1-3), dplyr (>= 1.1.4), magrittr (>= 2.0.3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble (>= 3.2.1)
NeedsCompilation: no
Packaged: 2026-09-06 09:17:18 UTC; yacinebenchehida
Author: Henrique Bravo [aut, cre] , Yacine Ben Chehida [aut] , Sancia E. T. van der Meij [aut]
Repository: CRAN
Date/Publication: 2026-09-15 11:30:08 UTC

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Package rxode2ll updated to version 2.0.18 with previous version 2.0.17 dated 2026-09-09

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2ll versions 2.0.17 dated 2026-09-09 and 2.0.18 dated 2026-09-15

 DESCRIPTION                  |    8 ++++----
 MD5                          |   13 +++++++------
 NAMESPACE                    |    1 -
 NEWS.md                      |    8 ++++++++
 R/llik.R                     |    1 -
 inst/tools/workaround.R      |   24 ++++++++++++++----------
 src/Makevars.in              |   11 +++++++++--
 tests/testthat/test-no-tbb.R |only
 8 files changed, 42 insertions(+), 24 deletions(-)

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Package qrfactor readmission to version 1.6 with previous version 1.4 dated 2014-01-02

Title: Simultaneous Q-Mode and R-Mode Factor Analysis for Spatial Data
Description: Performs Q-mode and R-mode factor analysis simultaneously on spatial and non-spatial data. A single function, qrfactor(), carries out principal component analysis, R-mode factor analysis, Q-mode factor analysis, simultaneous R- and Q-mode factor analysis, principal coordinate analysis and multidimensional scaling. Loadings and scores are returned from the fitted object, and the plot() method provides annotated biplots for combinations of eigenvectors, loadings and scores. Input may be supplied as an 'ESRI' shapefile, a delimited text file or a data frame.
Author: George Owusu [aut, cre]
Maintainer: George Owusu <owusugeorge@ug.edu.gh>

This is a re-admission after prior archival of version 1.4 dated 2014-01-02

Diff between qrfactor versions 1.4 dated 2014-01-02 and 1.6 dated 2026-09-15

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More information about qrfactor at CRAN
Permanent link

Package precrec updated to version 0.24.0 with previous version 0.14.5 dated 2025-05-15

Title: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description: Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
Author: Takaya Saito [aut, cre] , Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

Diff between precrec versions 0.14.5 dated 2025-05-15 and 0.24.0 dated 2026-09-15

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Permanent link

New package phdid with initial version 0.1.0
Package: phdid
Title: Partial Homogeneity in Staggered Difference-in-Differences
Version: 0.1.0
Description: In staggered difference-in-differences designs the treatment effect is a vector of cohort-time effects rather than a single number. Estimating each separately is unbiased but imprecise when some are equal, while pooling them all is precise but biased under genuine heterogeneity. This package treats the choice as a partition-selection problem on the cohort-time cells and provides two estimators for it: a Dirichlet process mixture fitted by a collapsed Gibbs sampler, whose posterior marginalises over the unknown partition and reports co-clustering probabilities, and an 'L0'-penalised estimator that returns a single partition and arises as the fixed-variance maximum a posteriori solution of the same model. Also provides tests for whether the cohort-time effects carry recoverable heterogeneity at all, sampler diagnostics including exact enumeration of the partition posterior for small designs, regularisation paths for both estimators, and a calibrated data-generating process. All estimator [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: did (>= 2.1.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/ronwag2005/phdid
BugReports: https://github.com/ronwag2005/phdid/issues
NeedsCompilation: no
Packaged: 2026-09-07 12:58:30 UTC; rohanwagle
Author: Rohan Wagle [aut, cre, cph], Parush Arora [aut, cph]
Maintainer: Rohan Wagle <rohan.wagle_ug2023@ashoka.edu.in>
Repository: CRAN
Date/Publication: 2026-09-15 12:00:02 UTC

More information about phdid at CRAN
Permanent link

Package p2distance readmission to version 1.0.2 with previous version 1.0.1 dated 2012-05-10

Title: Welfare's Synthetic Indicator
Description: The welfare's synthetic indicator provides an ideal tool for measuring multi-dimensional concepts such as welfare, development, living standards, etc. It enables information from the various indicators to be aggregated into a single synthetic measure. The method was proposed by Pena (1977, ISBN:9788426001788) and further developed by Zarzosa and Somarriba (2012) <doi:10.1007/s11205-012-0005-0>.
Author: Antonio J. Perez-Luque [aut, cre] , Ricardo Moreno [ctb], Ramon Perez-Perez [aut], Francisco J. Bonet-Garcia [ctb]
Maintainer: Antonio J. Perez-Luque <ajpelu@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2012-05-10

Diff between p2distance versions 1.0.1 dated 2012-05-10 and 1.0.2 dated 2026-09-15

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 man/p2distance.Rd          |  180 ++++++++++++--------
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 18 files changed, 762 insertions(+), 372 deletions(-)

More information about p2distance at CRAN
Permanent link

New package NSC with initial version 1.1.8
Package: NSC
Title: Format Student Data for the National Student Clearinghouse
Version: 1.1.8
Date: 2026-09-07
Description: Formats student records for submission to the National Student Clearinghouse. The package creates the required header, detail, and trailer rows and writes tab-delimited TXT and CSV files.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, stringi
NeedsCompilation: no
Packaged: 2026-09-07 14:00:58 UTC; BKlauth
Author: Bo Klauth [aut, cre]
Maintainer: Bo Klauth <bklauth@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 12:00:18 UTC

More information about NSC at CRAN
Permanent link

Package NetSimR updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-13

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three 'shiny' tools, one to simulate insurance claims applying reinsurance structures, fit generalised linear models and fit claims frequency or severity distributions. Methods used in the package refer to Free for All by Yiannis Parizas (2023) <https://www.thea [...truncated...]
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

Diff between NetSimR versions 0.2.0 dated 2026-09-13 and 0.3.0 dated 2026-09-15

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 105 files changed, 3975 insertions(+), 1789 deletions(-)

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New package multiCorr with initial version 0.1.0
Package: multiCorr
Title: Multicovariance and Multicorrelation for p-Variables
Version: 0.1.0
Description: Implements the multicorrelation coefficient for p-variables as described in Cankaya (2023). The package provides a numerically stable implementation using logarithmic transformations and a log-sum-exp approach to reduce numerical overflow and underflow when calculations involve a large number of variables.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-07 08:16:08 UTC; mehmet.cankaya
Author: Mehmet Niyazi Cankaya [aut, cre]
Maintainer: Mehmet Niyazi Cankaya <mehmet.cankaya@usak.edu.tr>
Repository: CRAN
Date/Publication: 2026-09-15 11:50:08 UTC

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New package GMTM with initial version 0.1.0
Package: GMTM
Title: Gaussian Mixture Text Models for Topic Analysis
Version: 0.1.0
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Description: Gaussian mixture models and k-means for topic analysis of dense document vectors. The underlying clustering functions rely on the Armadillo library.
License: Apache License (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: quanteda (>= 4.0.0), proxyC, wordvector, Rcpp, RcppArmadillo
Suggests: testthat, spelling, rmarkdown, knitr
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0), quanteda, testthat
Language: en-US
NeedsCompilation: yes
Packaged: 2026-09-06 02:28:38 UTC; watan
Author: Kohei Watanabe [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-09-15 11:20:09 UTC

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Package fastFGEE updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-08

Title: Fast Functional Generalized Estimating Equations via a One-Step Estimator
Description: Fits functional generalized estimating equations for longitudinal functional outcomes and covariates using a one-step estimator that is fast even for large cluster sizes or large numbers of clusters. The package supports quasi-likelihoods derived from a range of distributions, with substantial simulations run for quasi-likelihoods derived from Gaussian, binomial, Poisson, negative binomial, Gamma and beta families. It supports common link functions and several working correlation structures. An optimized engine constructs cluster score and sensitivity statistics in one pass, provides coefficient-space Gaussian cross-validation, analytic-gradient fast cluster cross-validation, and an experimental sandwich-scaled working restricted quasi-likelihood selector. Internal compiled routines provide symmetric positive-definite Cholesky solves and exact tridiagonal precision operations for irregularly sampled continuous-time AR(1) working correlations. Uncertainty quantification is based on sand [...truncated...]
Author: Gabriel Loewinger [aut, cre]
Maintainer: Gabriel Loewinger <gloewinger@gmail.com>

Diff between fastFGEE versions 0.1.0 dated 2026-04-08 and 0.2.0 dated 2026-09-15

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 42 files changed, 1854 insertions(+), 1035 deletions(-)

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New package drmTMB with initial version 0.7.0
Package: drmTMB
Title: Distributional Regression Models Using Template Model Builder
Version: 0.7.0
Description: Fast distributional regression models for univariate and bivariate responses using Template Model Builder. The current implementation focuses on Gaussian, Student-t, and skew-normal location-scale models, known sampling covariance, phylogenetic location effects, random-effect scale models, bivariate residual correlation, positive-continuous, 'Tweedie' semi-continuous, strict-proportion, zero-one bounded, and denominator-aware proportion families, fixed-effect Bernoulli/binomial event-probability models, and fixed-effect Poisson, negative-binomial, zero-inflated, zero-truncated, hurdle count, and ordinal cumulative-logit models. Additional response-family models are staged for later phases. Every fitted family also exposes a distributional-output and adequacy layer: randomized quantile-residual worm and QQ plots that detect fixed-effect shape and atom misspecification, and conditional-quantile, exceedance, and centile outputs with plug-in (uncalibrated) intervals.
License: GPL (>= 3)
URL: https://itchyshin.github.io/drmTMB/, https://github.com/itchyshin/drmTMB
BugReports: https://github.com/itchyshin/drmTMB/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: cli, lifecycle, Matrix (>= 1.6.0), methods, stats, TMB (>= 1.9.6), utils
LinkingTo: RcppEigen, TMB
Suggests: ape, callr, detectseparation (>= 0.4.0), emmeans, extraDistr, fmesher, glmmTMB, ggplot2, JuliaCall, knitr, lme4, MASS, metadat, metafor, mvtnorm, nlme, numDeriv, ordinal, palmerpenguins, pkgload, rmarkdown, sf, spelling, statmod, testthat (>= 3.0.0), tweedie, withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-05 19:15:32 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 11:00:29 UTC

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New package detectPanel with initial version 0.1.3
Package: detectPanel
Title: Leakage-Aware Discovery of Small Biomarker Panels
Version: 0.1.3
Author: Fuhao Jiang [aut, cre]
Maintainer: Fuhao Jiang <emr39515@gmail.com>
Description: Discovers small binary-classification biomarker panels from count or expression matrices while prioritizing detectability, expression stability, and univariate discrimination. Candidate filtering and panel selection can be repeated inside nested cross-validation to reduce information leakage. The package provides shared resampling splits, exhaustive small-panel search, logistic model fitting with an automatic ridge fallback for unstable separation-prone fits, out-of-fold evaluation, selection-frequency summaries, and optional 'DESeq2' differential-expression support. The nested model-selection workflow follows Varma and Simon (2006) <doi:10.1186/1471-2105-7-91>, and the optional differential-expression analysis uses Love, Huber, and Anders (2014) <doi:10.1186/s13059-014-0550-8>.
License: MIT + file LICENSE
URL: https://github.com/Emr-27/detectPanel
BugReports: https://github.com/Emr-27/detectPanel/issues
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2, graphics, stats, utils
Suggests: DESeq2, knitr, rmarkdown, pheatmap, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-05 18:45:46 UTC; 24791
Repository: CRAN
Date/Publication: 2026-09-15 11:00:41 UTC

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New package coinclp with initial version 0.1.0
Package: coinclp
Title: R Interface to the 'COIN-OR' 'Clp' Linear Programming Solver
Version: 0.1.0
Description: Solves linear programs with 'Clp', the simplex and interior point code of the 'COIN-OR' project <https://github.com/coin-or/Clp>. Provides a one-call solver interface for dense and sparse constraint matrices, and complete low level bindings to the 'Clp' callable library covering problem construction, warm starts, presolve options, basis access and 'MPS' files. A compatibility layer reproduces the interface of the archived 'clpAPI' package so that existing code keeps working. 'Clp' itself is not bundled and must be installed on the system; the 'Rtools' toolchain supplies it on 'Windows'.
License: EPL
URL: https://github.com/SamLovick/coinclp
BugReports: https://github.com/SamLovick/coinclp/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: methods, stats, utils
Suggests: Matrix, slam, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: COIN-OR Clp (>= 1.16) with development headers, and a C++17 compiler. Debian/Ubuntu: coinor-libclp-dev, Fedora: coin-or-Clp-devel, macOS: brew install clp, Windows: supplied by Rtools.
NeedsCompilation: yes
Packaged: 2026-09-05 23:26:06 UTC; samlo
Author: Sam Lovick [aut, cre]
Maintainer: Sam Lovick <sam@lovickconsulting.com>
Repository: CRAN
Date/Publication: 2026-09-15 11:10:02 UTC

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Package circda updated to version 1.1 with previous version 1.0 dated 2026-07-29

Title: Circular Data Analysis
Description: Functions to perform maximum likelihood estimation, model-based clustering, discriminant and regression analysis with a circular response variable. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: Tsagris M. and Alzeley O. (2025). "Circular and spherical projected Cauchy distributions: A Novel Framework for Circular and Directional Data Modeling". Australian & New Zealand Journal of Statistics, 67(1): 77--103. <doi:10.1111/anzs.12434>. Tsagris M., Papastamoulis P. and Kato S. (2025). "Directional data analysis: spherical Cauchy or Poisson kernel-based distribution". Statistics and Computing, 35:51 <doi:10.1007/s11222-025-10583-0>. Alzeley O. and Tsagris (2026). "On the generalized circular projected Cauchy distribution". Mathematics, 14(11): 1934 <doi:10.3390/math14111934>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between circda versions 1.0 dated 2026-07-29 and 1.1 dated 2026-09-15

 DESCRIPTION           |   12 +++----
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 23 files changed, 143 insertions(+), 47 deletions(-)

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New package cdmeta with initial version 1.1-1
Package: cdmeta
Title: Confidence-Distribution-Based Inference for Random-Effects Meta-Analysis
Version: 1.1-1
Date: 2026-09-07
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Computational tools for confidence-distribution-propagation-based inference in random-effects meta-analysis. Implements confidence-distribution propagation for frequentist inference in random-effects meta-analysis. The package samples the between-study variance from a confidence distribution based on the exact distribution of Cochran's Q, samples the average effect conditionally on each draw, and generates the true effect in a future study. It provides prediction intervals and confidence intervals for the average effect, between-study variance, between-study standard deviation, and I2. The methods are described in Noma and Schwarzer (2026) <doi:10.48550/arXiv.2608.26527>.
Depends: R (>= 3.5.0)
Imports: stats, graphics, pimeta (>= 1.1.3)
Suggests: metafor
URL: https://github.com/guido-s/cdmeta
BugReports: https://github.com/guido-s/cdmeta/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-07 10:00:30 UTC; nomah
Author: Hisashi Noma [aut, cre] , Guido Schwarzer [aut]
Repository: CRAN
Date/Publication: 2026-09-15 11:50:13 UTC

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New package campsisnca with initial version 1.7.1
Package: campsisnca
Title: Non-Compartmental Analysis for Campsis Simulation Platform
Version: 1.7.1
Description: A flexible and user-friendly non-compartmental analysis (NCA) toolkit designed to work seamlessly with simulated pharmacokinetic data generated using the 'campsis' ecosystem. The package provides a comprehensive framework to compute standard and custom NCA metrics, including exposure (AUC), peak/trough concentrations, half-life and time-above/below thresholds, with support for configurable time windows and summary statistics. 'campsisnca' integrates tightly with 'campsis' and 'campsismod', enabling streamlined workflows from simulation to analysis. In addition, the package provides a JSON-based interface to define NCA analyses, metrics and options using formal schemas, allowing analyses to be created, validated and executed outside of R and facilitating reproducibility, automation and system integration. The package also includes utilities for generating formatted summary tables and exporting results in multiple formats suitable for reporting. Trapezoidal rule implementation for AUC ca [...truncated...]
License: GPL (>= 3)
URL: https://github.com/Calvagone/campsisnca
BugReports: https://github.com/Calvagone/campsisnca/issues
Depends: campsismod, R (>= 4.0.0)
Imports: assertthat, campsis, cards, dplyr, glue, gt, gtsummary, jsonlite, jsonvalidate, lifecycle, magrittr, methods, purrr, rlang, stringr, tibble, tidyr
Suggests: devtools, ggplot2, mrgsolve, pkgdown, rmarkdown, roxygen2, rxode2, testthat
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-07 12:16:58 UTC; nicolas
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>
Repository: CRAN
Date/Publication: 2026-09-15 12:00:10 UTC

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Package anticlust updated to version 0.8.18 with previous version 0.8.16 dated 2026-09-09

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), Papenberg (2024; <doi:10.1111/bmsp.12315>), Papenberg, Wang, et al. (2025; <doi:10.1016/j.crmeth.2025.101137>), Papenberg, Breuer, et al. (2025; <doi:10.1017/psy.2025.10052>), Yang et al. (202 [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb] , Dimitry Wintermantel [ctb] ), David Buczynski [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.8.16 dated 2026-09-09 and 0.8.18 dated 2026-09-15

 DESCRIPTION                                                     |    6 -
 MD5                                                             |   18 +--
 R/wrapper-feasible-and-infeasible-region-search.R               |    4 
 R/wrapper-k-plus-anticlustering.R                               |    2 
 inst/doc/Speeding_up_anticlustering.html                        |   22 ++--
 inst/tinytest/test-cannot-link.R                                |   50 ++++++----
 inst/tinytest/test-fifr.R                                       |   33 ++++--
 inst/tinytest/test-solving-ilp.R                                |   25 ++++-
 inst/tinytest/test-three-phase-search-dynamic-population-size.R |   27 ++++-
 man/kplus_anticlustering.Rd                                     |    2 
 10 files changed, 129 insertions(+), 60 deletions(-)

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Package adbcsqlite readmission to version 0.24.0-2 with previous version 0.24.0-1 dated 2026-07-29

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

This is a re-admission after prior archival of version 0.24.0-1 dated 2026-07-29

Diff between adbcsqlite versions 0.24.0-1 dated 2026-07-29 and 0.24.0-2 dated 2026-09-15

 DESCRIPTION                                          |    6 -
 MD5                                                  |    8 +-
 src/c/driver_manager/adbc_driver_manager.cc          |    3 
 src/c/driver_manager/adbc_driver_manager_internal.h  |    6 +
 src/c/driver_manager/adbc_driver_manager_profiles.cc |   58 ++++++++++++-------
 5 files changed, 49 insertions(+), 32 deletions(-)

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New package T1FF with initial version 0.1.0
Package: T1FF
Title: Type-1 Fuzzy Functions for Classification, Regression, and Forecasting
Version: 0.1.0
Description: Fits Type-1 Fuzzy Function models for binary classification, numeric regression, and time-series forecasting with user-supplied temporal predictors. The package combines fuzzy C-means memberships, nonlinear membership transformations, cluster-specific linear or support vector machine models, and membership-weighted predictions. It also provides model evaluation, validation, K-fold and stratified K-fold tuning, and repeated nested cross-validation with task-appropriate metrics. The regression workflow can be used for forecasting when temporal dependence is represented by lagged or seasonal predictors and assessment partitions preserve chronological order.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: e1071, kernlab, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-05 18:32:29 UTC; nihattak
Author: Nihat Tak [aut, cre]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:50:33 UTC

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New package sTiles with initial version 2026.9.4
Package: sTiles
Title: Tile-Based Sparse Cholesky Factorization and Selected Inverse
Version: 2026.9.4
Description: Interface to the 'sTiles' framework for tile-based sparse Cholesky factorization: log-determinants, selected inverse (marginal variances) and triangular solves, with symbolic reuse so that repeated factorization of matrices sharing one sparsity pattern pays the ordering cost only once, as in a hyperparameter sweep. The compiled glue in this package resolves its symbols at run time against the 'sTiles' solver library ('libstiles'), which is a separate component distributed under its own terms and is not part of this package. Install it once with 'sTiles_install_library()', or point the package at a copy you already have with the 'STILES_LIB' environment variable.
License: MIT + file LICENSE
URL: https://esmail-abdulfattah.github.io/sTiles/
BugReports: https://github.com/esmail-abdulfattah/sTiles/issues
Imports: methods, Matrix, tools, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
SystemRequirements: the 'sTiles' solver library (libstiles.so on Linux, libstiles.dylib on macOS, libstiles.dll on Windows), obtained with sTiles_install_library() or supplied by the user
Encoding: UTF-8
Packaged: 2026-09-06 15:22:22 UTC; abdulfe
Author: Esmail Abdul Fattah [aut, cre, cph]
Maintainer: Esmail Abdul Fattah <esmail.abdulfattah@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:50:02 UTC

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Package SPIChanges updated to version 0.3.0 with previous version 0.2.1 dated 2025-10-23

Title: Improves the Interpretation of the Standardized Precipitation Index Under Changing Climate Conditions
Description: Improves the interpretation of the Standardized Precipitation Index under changing climate conditions. The package uses the nonstationary approach proposed in Blain et al. (2022) <doi:10.1002/joc.7550> to detect trends in rainfall quantities and to quantify the effect of such trends on the probability of a drought event occurring.
Author: Gabriel Constantino Blain [aut, cre] , Graciela R. Sobierajski [aut] , Leticia L. Martins [aut] , Adam H. Sparks [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>

Diff between SPIChanges versions 0.2.1 dated 2025-10-23 and 0.3.0 dated 2026-09-15

 DESCRIPTION                      |   11 
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 NAMESPACE                        |   41 
 NEWS.md                          |    8 
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 R/globals.R                      |    4 
 README.md                        |  958 +++++-----
 build/vignette.rds               |binary
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 inst/doc/SPIChanges.R            |   94 -
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 man/SPIChanges.Rd                |  148 -
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 vignettes/CaseStudies.Rmd        |  332 ---
 vignettes/bibliography.bib       |  579 +++---
 17 files changed, 4713 insertions(+), 5853 deletions(-)

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New package sezgi with initial version 0.1.1
Package: sezgi
Title: Metaheuristic Optimization with a 'Rust' Core
Version: 0.1.1
Description: Build and run metaheuristic optimization algorithms as serializable component graphs executed by a 'Rust' core, with reproducible, bit-exact trajectories shared across the 'R' and 'Python' frontends. Includes population and local-search algorithm presets, standard benchmark suites (BBOB, CEC 2014/2017/2022, TSP), multi-objective indicators, structural-bias diagnostics and statistical comparison tools.
License: MIT + file LICENSE
Copyright: sezgi authors, except as documented in inst/COPYRIGHTS (bundled benchmark data and quoted reference excerpts)
Encoding: UTF-8
Depends: R (>= 4.2)
Imports: R6 (>= 2.4.0)
Suggests: testthat (>= 3.0.0), jsonlite
SystemRequirements: Cargo (Rust's package manager), rustc (>= 1.88)
URL: https://github.com/tdelphi1981/sezgi
BugReports: https://github.com/tdelphi1981/sezgi/issues
NeedsCompilation: yes
Packaged: 2026-09-05 13:03:59 UTC; tolgaberber
Author: Tolga Berber [aut, cre] , Beyzanur Siyah [aut] , Emir Karayagiz [aut] , The authors of the dependency Rust crates [ctb]
Maintainer: Tolga Berber <tolga.berber@fen.ktu.edu.tr>
Repository: CRAN
Date/Publication: 2026-09-15 10:40:02 UTC

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New package SelectionTools with initial version 26.3
Package: SelectionTools
Version: 26.3
Date: 2026-09-05
Title: Simulation and Data Analysis for Plant Breeders
Description: Provides tools for simulation of plant breeding programs as described, for example, by Melchinger and Frisch (2023) <doi:10.1007/s00122-023-04446-3>, prediction of segregation variance (Osthushenrich, Frisch and Herzog (2017) <doi:10.1371/journal.pone.0188839>), genomic prediction (Hofheinz and Frisch (2014) <doi:10.1534/g3.113.010025>), linkage disequilibrium based haplotype construction, and planning of marker assisted back crossing programs.
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
License: CC0
NeedsCompilation: yes
Packaged: 2026-09-05 11:22:03 UTC; frisch-m
Author: Matthias Frisch [aut, cre], Hans Peter Maurer [ctb], Philipp Heilmann [ctb]
Maintainer: Matthias Frisch <matthias.frisch@uni-giessen.de>
Repository: CRAN
Date/Publication: 2026-09-15 10:40:21 UTC

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New package refuginator with initial version 1.0.2
Package: refuginator
Title: An Interactive Tool for Identifying Refugia
Version: 1.0.2
Description: A 'shiny'-based browser application for reconstructing organismal distributions and identifying historical and geohistorical refugia using the methods published by Morley et al. (2026) <doi:10.1038/s43247-026-03563-3>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, gganimate, ggplot2, leaflet, neotoma2, plotly, rlang, rnaturalearth, rnaturalearthdata, scales, sf, shiny, shinycssloaders, shinyjs, stringr, tidyr, viridis
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/nathanielmorley2000/refuginator
BugReports: https://github.com/nathanielmorley2000/refuginator/issues
NeedsCompilation: no
Packaged: 2026-09-05 05:34:30 UTC; dinom
Author: Nathaniel E. D. Morley [aut, cre, cph]
Maintainer: Nathaniel E. D. Morley <nathaniel.morley2000@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:30:02 UTC

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New package raiseR with initial version 0.1.0
Package: raiseR
Title: Raise Regression and Robust Methods for Multicollinearity
Version: 0.1.0
Description: Implements Raise Regression as an inference-preserving alternative to Ridge Regression for combating multicollinearity in linear models, including the classical single-variable Raise Regression, the Simultaneous Raise Regression (SRR) based on QR decomposition and the Sequential Variance Inflation Factor (SVIF) of Jacob and Varadharajan (2022) <doi:10.1007/s11135-022-01557-9>, and the original raise parameter selection strategy of Jacob and Varadharajan (2023) <doi:10.13189/ms.2023.110106>. Also implements Robust Raise Regression for data contaminated by outliers, with exact finite-sample inference (sandwich standard errors, Wald tests, Satterthwaite-corrected degrees of freedom) obtained by down-weighting observations using Stahel-Donoho projection outlyingness and Tukey's biweight function. Provides ordinary and robust Ridge Regression (Hoerl and Kennard, 1970, <doi:10.1080/00401706.1970.10488634>), ordinary and robust Liu Regression (Liu, 1993, <doi:10.1080/0361 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices, mrfDepth, MASS, withr
Suggests: testthat (>= 3.0.0), lmtest, car
URL: https://github.com/jinsejacob/raiseR
BugReports: https://github.com/jinsejacob/raiseR/issues
Author: Jinse Jacob [aut, cre]
Maintainer: Jinse Jacob <jinsejacob@hotmail.com>
NeedsCompilation: no
Packaged: 2026-09-05 05:56:09 UTC; root
Repository: CRAN
Date/Publication: 2026-09-15 10:50:07 UTC

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New package orange with initial version 0.1.0
Package: orange
Title: Spherical Descriptors of Geographic Distributions
Version: 0.1.0
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>
Description: Characterization of distribution data on the surface of a sphere. The primary group of these metrics describe the extent of a distribution, geographic ranges. The calculation of geographic descriptors can be executed using point coordinate data, vector polygons, as well as cells on a discretized sphere. Besides using spherical implementations, the package offers the exploration of partial results for visual diagnostics.
License: GPL-3
Date: 2026-08-23
BugReports: https://github.com/adamkocsis/orange/issues
Encoding: UTF-8
LazyData: false
URL: https://adamtkocsis.com/orange/
Depends: R (>= 4.0.0), icosa (>= 0.12.0)
Imports: igraph, methods
NeedsCompilation: no
Suggests: sf, knitr, rmarkdown, vegan
Packaged: 2026-09-05 18:18:47 UTC; adam
Author: Adam T. Kocsis [cre, aut] , Elizabeth M. Dowding [ctb] , FAU GeoZentrum Nordbayern [fnd]
Repository: CRAN
Date/Publication: 2026-09-15 10:50:14 UTC

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New package nonnet with initial version 1.0.0
Package: nonnet
Title: Generate and Analyze Nonlinear Networks
Version: 1.0.0
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>
Description: Creates and detects nonlinear relations using the methods described in Slipetz, Qiu, Sun, and Henry (2026) <doi:10.48550/arXiv.2411.02763>. Use the netgen() function to generate a nonlinear network and the dcor_res() function for a residualization procedure for detecting nonlinear relations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: energy, mgcv, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-05 14:55:45 UTC; ddj6tu
Author: Lindley Slipetz [aut, cre], Teague Henry [ctb]
Repository: CRAN
Date/Publication: 2026-09-15 10:40:11 UTC

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New package imply with initial version 0.1.0
Package: imply
Version: 0.1.0
Date: 2026-09-05
Title: Efficiently Apply Functions to Images
Description: Infrastructure for handling generalised two and three dimensional images, which may hold multiple values at each spatial location, and efficiently applying functions to them. Dense, compacted and sparse pixel/voxel representations are supported, with one core engine for processing them all. Parallelism is supported via the 'parallel' package, 'libdispatch' and 'OpenMP'.
Imports: Rcpp, S7, methods
LinkingTo: Rcpp, RcppArray
Suggests: tinytest
Encoding: UTF-8
License: BSD_3_clause + file LICENCE
URL: https://github.com/jonclayden/imply
BugReports: https://github.com/jonclayden/imply/issues
NeedsCompilation: yes
Packaged: 2026-09-05 14:10:31 UTC; jon
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>
Repository: CRAN
Date/Publication: 2026-09-15 10:40:16 UTC

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New package genpca with initial version 0.2.0
Package: genpca
Title: Generalized Principal Component Analysis
Version: 0.2.0
Description: Generalized PCA and related matrix decompositions in weighted inner-product spaces. Methods are based on Allen, G. I., Grosenick, L., and Taylor, J. (2014) <doi:10.1080/01621459.2013.852978>, "A generalized least-square matrix decomposition", Journal of the American Statistical Association, 109(505), 145-159; and Abdi, H. (2007), "Singular value decomposition (SVD) and generalized singular value decomposition" <https://personal.utdallas.edu/~herve/Abdi-SVD2007-pretty.pdf>, in "Encyclopedia of Measurement and Statistics", 907-912.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rcpp, eigencore (>= 1.0.3), FNN, Matrix, multivarious (>= 0.3.0), assertthat, methods, digest
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: testthat (>= 3.0.0), adjoin, irlba, matrixStats, clue, knitr, rmarkdown, ggplot2, albersdown, ragg, systemfonts
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/genpca/, https://github.com/bbuchsbaum/genpca
BugReports: https://github.com/bbuchsbaum/genpca/issues
NeedsCompilation: yes
Packaged: 2026-09-05 19:18:39 UTC; bbuchsbaum
Author: Brad Buchsbaum [aut, cre, cph]
Maintainer: Brad Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:50:19 UTC

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New package dtlog with initial version 0.1.0
Package: dtlog
Title: Logging for 'data.table' Operations
Version: 0.1.0
Description: Provides feedback about 'data.table' operations. 'dtlog' redefines the subsetting method for data tables as well as several functions exported by 'data.table' so that each operation prints a short message describing what it did: how many rows were removed, which columns were added, updated or dropped, how many groups an aggregation produced, and so on. The operations themselves are left untouched, including modification by reference. It also provides dttable(), which describes the variables a single data table holds and passes every other call on to base::table() unchanged. Inspired by the 'tidylog' package.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: data.table (>= 1.14.0), stats, utils
Suggests: testthat (>= 3.0.0), dplyr, tidyr, tidylog, tibble, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/AkiShiroshita/dtlog, https://akishiroshita.github.io/dtlog/
BugReports: https://github.com/AkiShiroshita/dtlog/issues
NeedsCompilation: no
Packaged: 2026-09-05 22:13:16 UTC; shiroa1
Author: Akihiro Shiroshita [aut, cre, cph]
Maintainer: Akihiro Shiroshita <akihirokun8@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:50:27 UTC

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Package polyglotr updated to version 1.7.5 with previous version 1.7.4 dated 2026-06-08

Title: Translate Text
Description: Provide easy methods to translate pieces of text. Functions send requests to translation services online.
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <iwantomer@hotmail.com>

Diff between polyglotr versions 1.7.4 dated 2026-06-08 and 1.7.5 dated 2026-09-15

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 polyglotr-1.7.5/polyglotr/DESCRIPTION                            |    8 
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 polyglotr-1.7.5/polyglotr/R/google_translate.R                   |   87 ++++++++--
 polyglotr-1.7.5/polyglotr/R/google_translate_long_text.R         |   32 +--
 polyglotr-1.7.5/polyglotr/R/language_detect.R                    |   31 +--
 polyglotr-1.7.5/polyglotr/README.md                              |   22 +-
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 polyglotr-1.7.5/polyglotr/tests/testthat/helpers.R               |   27 ++-
 polyglotr-1.7.5/polyglotr/tests/testthat/test-google_translate.R |   70 +++++++-
 14 files changed, 226 insertions(+), 90 deletions(-)

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Package mlr3verse updated to version 0.4.0 with previous version 0.3.2 dated 2026-06-22

Title: Easily Install and Load the 'mlr3' Package Family
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut] , John Zobolas [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3verse versions 0.3.2 dated 2026-06-22 and 0.4.0 dated 2026-09-15

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 R/reexports_mlr3pipelines.R |    4 -
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 README.md                   |   89 ++++++++++++++++++++++----------------------
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 8 files changed, 133 insertions(+), 67 deletions(-)

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Package kde1d updated to version 1.2.2 with previous version 1.2.0 dated 2026-09-10

Title: Univariate Kernel Density Estimation
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded, discrete, and zero-inflated data. See Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between kde1d versions 1.2.0 dated 2026-09-10 and 1.2.2 dated 2026-09-15

 DESCRIPTION                                    |    6 +++---
 MD5                                            |    8 ++++----
 NEWS.md                                        |   15 +++++++++++++++
 inst/include/kde1d-cpp/include/kde1d/tools.hpp |   14 ++++++++++++++
 tests/testthat/Rplots.pdf                      |binary
 5 files changed, 36 insertions(+), 7 deletions(-)

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Package irace updated to version 4.5 with previous version 4.4.4 dated 2026-09-09

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 4.4.4 dated 2026-09-09 and 4.5 dated 2026-09-15

 DESCRIPTION                                                  |    6 
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 NEWS.md                                                      |   24 +
 R/argparser.R                                                |    2 
 R/generation.R                                               |    6 
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 R/irace.R                                                    |   21 +
 R/irace_summarise.R                                          |   10 
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 R/race.R                                                     |    2 
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 R/scenario.R                                                 |    8 
 R/testing.R                                                  |   10 
 R/timer.R                                                    |    5 
 R/tnorm.R                                                    |   10 
 R/version.R                                                  |    2 
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 src/Makevars                                                 |    2 
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 tests/testthat/test-maxTime.R                                |    2 
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 tests/testthat/test-targeteval.R                             |   10 
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Package huxtable updated to version 6.0.1 with previous version 5.8.0 dated 2025-11-07

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', 'PowerPoint', 'typst', SVG and PNG. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function to create regression tables, and 'quick_*' one-liners to print tables to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package hassediagrams updated to version 3.0 with previous version 2.1 dated 2026-07-22

Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>

Diff between hassediagrams versions 2.1 dated 2026-07-22 and 3.0 dated 2026-09-15

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Package coreval updated to version 0.3.0 with previous version 0.1.0 dated 2026-09-12

Title: Check Clinical Trial Data Against 'CDISC' Open Rules
Description: Finds conformance problems in clinical trial data without leaving R, using the openly published 'CDISC' Open Rules ('CORE'). Check a single dataset while you are still writing the code that builds it, or a whole study folder once it exists, and get the findings back as a tidy data frame pointing at the exact row and variable. Reads transport ('XPT'), 'SAS', comma-separated and 'Dataset-JSON' files, plus 'Define-XML' when present, and 'USDM' study-design documents. Covers rules for the 'SDTM', 'SEND', 'TIG' and 'USDM' standards. The rules are bundled inside the package, so nothing is downloaded and your data never leaves your machine: no internet, no API key, no account. When a rule cannot be checked - because it needs a dataset you did not supply, for instance - it is reported as skipped with the reason, never counted as a pass. Meant as a quick first pass before a qualified validation system, never as a replacement for one. An independent project: not affiliated with or endorsed by 'C [...truncated...]
Author: Hrach Gevorgyan [aut, cre, cph]
Maintainer: Hrach Gevorgyan <hrach.gevorgyan@yandex.com>

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Package ReSurv updated to version 1.1.0 with previous version 1.0.0 dated 2024-11-14

Title: Machine Learning Models for Predicting Claim Counts
Description: Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.
Author: Emil Hofman [aut, cre, cph], Gabriele Pittarello [aut, cph] , Munir Hiabu [aut, cph]
Maintainer: Emil Hofman <emil_hofman@hotmail.dk>

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Package quarrint updated to version 1.0.1 with previous version 1.0.0 dated 2016-11-24

Title: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks
Description: An implementation of two interaction indices between extractive activity and groundwater resources based on hazard and vulnerability parameters used in the assessment of natural hazards. One index is based on a discrete choice model and the other is relying on an artificial neural network.
Author: Johan Barthelemy [aut, cre], Timoteo Carletti [aut], Louise Collier [aut], Vincent Hallet [aut], Marie Moriame [aut], Annick Sartenaer [aut]
Maintainer: Johan Barthelemy <johan@uow.edu.au>

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Package bfbin2arm updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-06

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration. Both one-arm trials with only a single treatment arm and two-arm trials with treatment and control arm are implemented for the one- and two-stage designs.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

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Package socketR updated to version 1.0.5 with previous version 1.0.4 dated 2026-09-10

Title: POSIX Socket Programming for R
Description: Provides a small POSIX sockets interface to R, enabling direct network communication from R for applications that need low-level socket control or lightweight client and server connections. This package provides IPv4 and IPv6 support with 'TCP/UDP' protocols. It functional API with 'socket_create' and an R6 interface through 'Socket' object.
Author: Eduardo Hellas [aut, cre], SAS [cph, fnd]
Maintainer: Eduardo Hellas <ehellas@gmail.com>

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Package RDHonest updated to version 1.0.2 with previous version 1.0.1 dated 2024-12-16

Title: Honest Inference in Regression Discontinuity Designs
Description: Honest and nearly-optimal confidence intervals in fuzzy and sharp regression discontinuity designs and for inference at a point based on local linear regression. The implementation is based on Armstrong and Kolesár (2018) <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018) <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.
Author: Michal Kolesar [aut, cre, cph] , Tim Armstrong [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>

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Package GLMMcosinor readmission to version 0.2.2 with previous version 0.2.1 dated 2024-10-31

Title: Fit a Cosinor Model Using a Generalized Mixed Modeling Framework
Description: Allows users to fit a cosinor model using the 'glmmTMB' framework. This extends on existing cosinor modeling packages, including 'cosinor' and 'circacompare', by including a wide range of available link functions and the capability to fit mixed models. The cosinor model is described by Cornelissen (2014) <doi:10.1186/1742-4682-11-16>.
Author: Rex Parsons [aut, cre] , Oliver Jayasinghe [aut], Nicole White [aut] , Oliver Rawashdeh [aut, fnd] , Prasad Chunduri [ctb, fnd] , Margaret Doyle [ctb], Michael Sachs [rev] , Joaquin Cavieres [rev]
Maintainer: Rex Parsons <rex.parsons94@gmail.com>

This is a re-admission after prior archival of version 0.2.1 dated 2024-10-31

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Package distplyr updated to version 0.3.0 with previous version 0.2.0 dated 2025-12-08

Title: Manipulate and Combine Probability Distributions
Description: Go beyond standard probability distributions such as the Normal or Exponential by combining, shifting, maximizing, and otherwise transforming distributions with simple, verb-based functions. Provides easy access to a broader space of distributions more representative of real-world systems such as river flows or insurance claims. Part of the probaverse framework of packages to support advanced statistical modeling and simulations with an intuitive workflow.
Author: Vincenzo Coia [aut, cre, cph], Amogh Joshi [ctb], Shuyi Tan [ctb], Zhipeng Zhu [ctb]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>

Diff between distplyr versions 0.2.0 dated 2025-12-08 and 0.3.0 dated 2026-09-15

 DESCRIPTION                    |   10 +++----
 MD5                            |   48 ++++++++++++++++++++++--------------
 NAMESPACE                      |   15 +++++++++++
 NEWS.md                        |   39 +++++++++++++++++++++++++++++
 R/Math.R                       |    6 ++--
 R/print.R                      |only
 R/support-inference.R          |only
 R/sysdata.rda                  |binary
 R/utils.R                      |   31 +++++++++++++++++++++--
 R/verb-exp.R                   |   22 ++++++++++++----
 R/verb-flip.R                  |   10 +++----
 R/verb-graft.R                 |only
 R/verb-invert.R                |    9 +++---
 R/verb-log.R                   |   15 ++++++-----
 R/verb-maximize.R              |   35 +++++++++++++++-----------
 R/verb-minimize.R              |   36 +++++++++++++++------------
 R/verb-mix.R                   |   35 ++------------------------
 R/verb-multiply.R              |    9 +++---
 R/verb-shift.R                 |    9 +++---
 R/verb-trim.R                  |only
 build/vignette.rds             |binary
 inst/doc/manipulating.html     |   54 ++++++++++-------------------------------
 man/graft.Rd                   |only
 man/trim.Rd                    |only
 tests/testthat/test-graft.R    |only
 tests/testthat/test-maximize.R |   15 +++++++----
 tests/testthat/test-minimize.R |   15 +++++++----
 tests/testthat/test-print.R    |only
 tests/testthat/test-support.R  |only
 tests/testthat/test-trim.R     |only
 30 files changed, 237 insertions(+), 176 deletions(-)

More information about distplyr at CRAN
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Package agghoo (with last version 0.1-0) was removed from CRAN

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

2023-05-25 0.1-0

Permanent link
Package PhytoIn (with last version 0.2.0) was removed from CRAN

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

2025-10-01 0.2.0

Permanent link
Package dtGAP (with last version 0.0.2) was removed from CRAN

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

2026-02-18 0.0.2

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Package shinyfilters updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-17

Title: Create 'shiny' Inputs from Vectors, 'data.frames', or any R Object
Description: Provides an interface to 'shiny' inputs used for filtering vectors, data.frames, and other objects. 'S7'-based implementation allows for seamless extensibility.
Author: Josh Livingston [cre, aut], Novica Nakov [ctb]
Maintainer: Josh Livingston <joshwlivingston@gmail.com>

Diff between shinyfilters versions 0.3.0 dated 2026-01-17 and 0.3.1 dated 2026-09-15

 DESCRIPTION                              |    8 
 MD5                                      |   36 
 NAMESPACE                                |   48 
 NEWS.md                                  |    9 
 R/apply_filters.R                        |  308 +--
 R/get_filter_logical.R                   |  309 +--
 README.md                                |  283 +--
 build/vignette.rds                       |binary
 inst/doc/customizing-shinyfilters.R      |  286 +--
 inst/doc/customizing-shinyfilters.html   | 1258 +++++++-------
 inst/doc/filter-input-catalog.R          |  552 +++---
 inst/doc/filter-input-catalog.html       | 2666 +++++++++++++++----------------
 man/filterInput.Rd                       |    4 
 man/updateFilterInput.Rd                 |    4 
 tests/testthat/setup_00_S7.R             |    4 
 tests/testthat/setup_02_test_app.R       |   44 
 tests/testthat/test-apply_filters.R      |  388 ++--
 tests/testthat/test-errors.R             |    3 
 tests/testthat/test-get_filter_logical.R |   54 
 19 files changed, 3159 insertions(+), 3105 deletions(-)

More information about shinyfilters at CRAN
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