Wed, 14 Oct 2026

Package rsynthbio updated to version 4.2.2 with previous version 4.2.1 dated 2026-10-13

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut], Alex David [aut, cre]
Maintainer: Alex David <alex@synthesize.bio>

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Package PP updated to version 1.0.0 with previous version 0.6.4-1 dated 2026-04-21

Title: Person Parameter Estimation
Description: Estimation of person parameters (abilities) for the 1, 2, 3 and 4 parameter logistic model, the (generalized) partial credit model and tests that mix dichotomous and polytomous items, under the assumption that the item parameters are known and fixed: maximum likelihood, weighted likelihood (Warm, 1989 <doi:10.1007/BF02294627>), maximum and expected a posteriori and robust estimation (Schuster and Yuan, 2011 <doi:10.3102/1076998610396890>). Further features are jackknife estimates (Wainer and Wright, 1980 <doi:10.1007/BF02293910>), plausible values, the person fit statistics lz, lz* (Snijders, 2001 <doi:10.1007/BF02294437>), infit and outfit, and the simulation of response data. Models fitted with the 'eRm' package can be passed on directly. The package is useful, e.g., when items of an item bank are given to a new sample of persons.
Author: Manuel Reif [cre, aut], Jan Steinfeld [aut]
Maintainer: Manuel Reif <manuel.reif@gmail.com>

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Package linearModel updated to version 1.1.1 with previous version 1.0.2 dated 2022-01-04

Title: Linear Model Functions
Description: Functions to access and test results from a linear model.
Author: Jared Studyvin [aut, cre]
Maintainer: Jared Studyvin <studyvinstat@gmail.com>

Diff between linearModel versions 1.0.2 dated 2022-01-04 and 1.1.1 dated 2026-10-14

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Package dynamicmultiplex updated to version 1.4.0 with previous version 1.3.1 dated 2026-09-24

Title: Tracking Communities in Changing Temporal Networks
Description: Tools for temporal networks that change over time, where nodes enter and leave, groups form, split, merge and dissolve, and periods differ in size. The temporal fitters track nodes and communities across periods. A community keeps one identifier while it persists, and a newly formed group receives a new one. Two-stage fitters run Louvain or Leiden community detection in each period and link communities in linked periods by Jaccard similarity, the overlap coefficient or node-strength weighted variants. The 'layer_links' argument sets which periods are directly linked, adjacent periods only by default. By default all periods are fitted jointly, so later periods can change earlier labels, and tracking = 'filtered' prevents this. Multislice modularity (Mucha et al. 2010) <doi:10.1126/science.1184819> and Hungarian matching are included as comparison methods, and a bootstrap stability score helps choose between the two-stage and multislice approaches.
Author: Jared Edgerton [aut, cre]
Maintainer: Jared Edgerton <jared.edgerton@gmail.com>

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Package officer updated to version 0.7.7 with previous version 0.7.6 dated 2026-07-16

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Stefan Moog [aut], Mark Heckmann [aut] , ArData [cph], Frank Hangler [ctb] , Liz Sander [ctb] , Anton Victorson [ctb] , Jon Calder [ctb] , John Harrold [ctb] , John Muschelli [ctb] , Bill Denney [ctb] , Nikolai Beck [ctb] , Gr [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package dbSpatial updated to version 0.1.3 with previous version 0.1.2 dated 2026-06-23

Title: Spatial Data Operations for Database-Backed Geometries
Description: Provides database-backed spatial geometry classes and methods for working with vector spatial data in 'DuckDB'. The package supports loading, converting, querying, joining, and measuring spatial geometries through familiar 'sf'-style interfaces while keeping geometry columns lazy inside the database. It integrates with 'dbProject' to preserve database paths, live connections, and spatial table metadata across interactive sessions. The package follows the Simple Features framework described by Pebesma (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>

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Package MDgof updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-18

Title: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Description: Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

Diff between MDgof versions 1.2.0 dated 2026-09-18 and 1.2.1 dated 2026-10-14

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Package MD2sample updated to version 1.4.1 with previous version 1.4.0 dated 2026-09-15

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>

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Package acR updated to version 0.4.0 with previous version 0.3.4 dated 2026-09-09

Title: Content Analysis in R: Integrated Qualitative (LLMs) and Quantitative Pipeline
Description: Provides an integrated pipeline for content analysis combining qualitative coding assisted by large language models (LLMs) with classical quantitative text analysis. Includes modules for pre-processing (tokenization, stopwords for Brazilian Portuguese), descriptive statistics, keyness, co-occurrence networks, word clouds (including comparative and X-ray variants), sentiment analysis via OpLexicon, Latent Dirichlet Allocation (LDA), inter-coder reliability metrics (Krippendorff, Gwet), and modern visualizations based on ggplot2. Special focus on Brazilian corpora and political-institutional codebooks. Inspired by Maerz and Benoit (2025) <https://quallmer.github.io/quallmer/>.
Author: Anderson Henrique [aut, cre]
Maintainer: Anderson Henrique <anderson.henrique@usp.br>

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Package soilKey updated to version 0.9.259 with previous version 0.9.184 dated 2026-07-07

Title: Automated Soil Profile Classification per WRB 2022, 'SiBCS' 5 and USDA Soil Taxonomy 13
Description: Implements deterministic classification keys for the World Reference Base for Soil Resources 2022 (4th edition) and the Brazilian System of Soil Classification ('SiBCS', 5th edition). Provides a unified profile representation with explicit per-attribute provenance, multimodal extraction from field reports and photos via vision-language models, spatial priors from 'SoilGrids' and national soil maps, and gap-filling of soil attributes from Vis-NIR or MIR spectra via the Open Soil Spectral Library ('OSSL'). The taxonomic key itself is never delegated to a language model; LLMs are restricted to schema-validated extraction. Each classification result reports a key trace, a provenance-aware evidence grade, and ambiguities that further measurement would resolve.
Author: Hugo Rodrigues [aut, cre, cph]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

Diff between soilKey versions 0.9.184 dated 2026-07-07 and 0.9.259 dated 2026-10-14

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Package saferDev updated to version 2.0.0 with previous version 1.0.0 dated 2026-06-08

Title: Function and Pipeline Development
Description: Set of functions that perform checks according to the safer-r project recommendations for R function development (see <https://github.com/safer-r>). This includes checking argument values, ensuring correct specification of all mandatory arguments for embedded functions, as well as their explicit package namespace qualification, among other things.
Author: Haiding Wang [ctb], Yushi Han [ctb], Mia Legras [ctb], Gael Millot [cre, aut, ctb]
Maintainer: Gael Millot <gael.millot@pasteur.fr>

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Package Rdune updated to version 1.1.2 with previous version 1.1.1 dated 2024-07-29

Title: 'Creates Color Palettes Inspired by Dune'
Description: Enables the use of color palettes inspired by the 'Dune' movies. These palettes are compatible with 'ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on 'ggplot2'.
Author: Nicholas Vietto [aut, cre, cph]
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>

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Package PeerPerformance updated to version 2.4.1 with previous version 2.4.0 dated 2026-08-02

Title: Luck-Corrected Peer Performance Analysis in R
Description: Provides functions to perform the peer performance analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>. For each fund, the package estimates the proportion of peers it outperforms, is equalled by, and is outperformed by, correcting for luck with the false discovery approach of Storey (2002) <doi:10.1111/1467-9868.00346>. Screenings can be based on factor-model alphas, Sharpe ratios, or modified Sharpe ratios, the latter using the equality test of Ardia and Boudt (2015) <doi:10.1016/j.frl.2015.02.008>. Funds can be screened within a universe or against a separate peer group, over rolling windows, and results come with peer-bootstrap intervals, summary, plot, and tidy data frame methods.
Author: David Ardia [aut, cre, cph, fnd] , Nabil Bouamara [ctb], Kris Boudt [aut] , Sebastien Legros [ctb], Murilo Andre Peres Pereira [ctb] , Benjamin Seguin [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package BOLDNODE updated to version 1.0.1 with previous version 1.0.0 dated 2026-09-09

Title: Search and Explore BOLD Data Packages Efficiently
Description: Provides efficient tools for exploring and transforming the Barcode of Life Data Systems (BOLD) data packages on local machines. It enables fast local querying of the data packages without relying on live API calls. Results can be easily converted into formats compatible with widely used R packages and third party tools.
Author: Sameer Padhye [aut, cre], Spencer K. Monckton [aut], Dirk Steinke [ctb], Jireh Agda [ctb], Teresita M. Porter [ctb]
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>

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Package bild updated to version 1.3-0 with previous version 1.2-1 dated 2023-11-03

Title: A Package for BInary Longitudinal Data
Description: Performs logistic regression for binary longitudinal data, allowing for serial dependence among observations from a given individual and a random intercept term. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed, with some restrictions. M. Helena Goncalves et al. (2012) <DOI: 10.18637/jss.v046.i09>.
Author: M. Helena Goncalves [aut, cre] , M. Salome Cabral [aut], Adelchi Azzalini [aut], R. Piessens [ctb] , E. de Doncker [ctb]
Maintainer: M. Helena Goncalves <mhgoncal@ualg.pt>

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Package fwb updated to version 1.0.0 with previous version 0.6.0 dated 2026-05-29

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package dsdp readmission to version 0.1.3 with previous version 0.1.2 dated 2026-08-21

Title: Density Estimation with Semidefinite Programming
Description: The models of probability density functions are Gaussian or exponential distributions with polynomial correction terms. Using a maximum likelihood method, 'dsdp' computes parameters of Gaussian or exponential distributions together with degrees of polynomials by a grid search, and coefficient of polynomials by a variant of semidefinite programming. It adopts Akaike Information Criterion for model selection. See a vignette for a tutorial and more on our 'Github' repository <https://github.com/tsuchiya-lab/dsdp/>.
Author: Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]
Maintainer: Satoshi Kakihara <skakihara@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2026-08-21

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Package dataRetrieval updated to version 2.7.27 with previous version 2.7.26 dated 2026-09-10

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joseph Zemme [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package AV1R updated to version 0.1.4.1 with previous version 0.1.4 dated 2026-10-12

Title: 'AV1' Video Encoding for Biological Microscopy Data
Description: Converts microscopy video and image data (H.264/H.265, AVI/MJPEG, TIFF stacks) to the 'AV1' codec for compact storage, and archives 16-bit image stacks and videos losslessly in the 'FFV1' format. Encoding runs on the GPU via 'Vulkan' or 'VAAPI' when available and falls back to the CPU through 'FFmpeg' and 'SVT-AV1'. Whole experiment folders can be converted at once.
Author: Yuri Baramykov [aut, cre] , The Khronos Group Inc. [cph], FFmpeg developers [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package uteals updated to version 0.0.6 with previous version 0.0.5 dated 2026-07-09

Title: Shared Utilities to Extend the 'teal' Modules
Description: Provides decorators, transformators, and utility functions to extend the 'teal' framework for interactive data analysis applications. Implements methods for data visualization enhancement, statistical data transformations, and workflow integration tools. Designed to support clinical and pharmaceutical research workflows within the 'teal' ecosystem through modular and reusable components.
Author: Nadia Abraham [aut], Chanchal Bhalla [aut], Peyman Eshghi [aut, cre], Pranith Gourisetty [aut], Sohan Lal [aut], Przemyslaw Posiadala [aut], Alina Tselinina [aut], Konrad Pagacz [aut], PHUSE [cph]
Maintainer: Peyman Eshghi <peymaan.es@gmail.com>

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Package SLPresElection updated to version 1.1.0 with previous version 1.0.0 dated 2023-01-17

Title: Presidential Election Data of "Sri Lanka" from 1982 to 2019
Description: Provides Sri Lankan presidential election results for 1982, 1988, 1994, 1999, 2005, 2010, 2015, and 2019. The datasets contain candidate vote counts, reported percentages, and summary statistics for polling divisions and district results, including postal and displaced votes where available. Results were extracted from PDF documents and prepared in a consistent tabular format.
Author: Amalan Mahendran [aut, cre]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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New package sandwichrand with initial version 1.0.0
Package: sandwichrand
Title: Sandwich Mixed Randomization for Allocation Sequence Generation
Version: 1.0.0
Description: Generates allocation sequences for randomized controlled trials using the sandwich mixed randomization (SMR) scheme, together with verification, diagnostics, and release utilities.
License: Apache License (>= 2.0)
Encoding: UTF-8
URL: https://github.com/wangbshun/sandwichrand
BugReports: https://github.com/wangbshun/sandwichrand/issues
Depends: R (>= 3.6.0)
Imports: graphics, parallel, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-01 03:25:47 UTC; DELL
Author: Bingshun Wang [aut, cre] , Jinliang Xie [ctb], Wei Wang [ctb]
Maintainer: Bingshun Wang <wangbshun@foxmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:40:09 UTC

More information about sandwichrand at CRAN
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Package RBMRB readmission to version 3.0.0 with previous version 2.1.7 dated 2021-07-11

Title: Interface to the Biological Magnetic Resonance Data Bank ('BMRB')
Description: A comprehensive interface to the Biological Magnetic Resonance Data Bank ('BMRB') <https://bmrb.io>, mirroring all functionality of the 'PyBMRB' 'Python' package (v3.0). Provides four modules: (1) 'ChemicalShift' for fetching per-entry chemical shift data from the 'BMRB' 'REST' 'API' or local 'NMR-STAR' files; (2) 'ChemicalShiftStatistics' for database-wide statistical queries; (3) Spectra for simulating '1H-15N' 'HSQC', '1H-13C' 'HSQC', '1H-1H' 'TOCSY', and generic 2D 'NMR' spectra as interactive plots; and (4) Histogram for chemical shift distribution visualizations with optional filtering by pH, temperature, and ambiguity code. All interactive plots are rendered via 'plotly'. Uses the 'BMRB' REST API v2 <https://api.bmrb.io/v2/>.
Author: Kumaran Baskaran [aut, cre]
Maintainer: Kumaran Baskaran <baskaran@uchc.edu>

This is a re-admission after prior archival of version 2.1.7 dated 2021-07-11

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Package gkrreg updated to version 0.5.0 with previous version 0.4.0 dated 2026-06-17

Title: Gaussian Kernel Robust Regression (GKRReg)
Description: Implements the Gaussian Kernel Robust Regression (GKRReg / GKRR) method proposed by De Carvalho, Lima Neto and Ferreira (2017) <doi:10.1016/j.neucom.2016.12.035>. The method re-weights observations iteratively using the Gaussian kernel so that poorly-fitted observations (outliers, leverage points) receive small weights, yielding resistance to Y-space outliers, X-space outliers and leverage points. Convergence is guaranteed by Propositions 4.1 and 4.2 of the original paper. Four estimators for the kernel width hyper-parameter are provided (S1: Caputo, S2: pairwise median, S3: residual variance, S4: corrected Akaike bandwidth), together with a data-driven selection rule. Inference is provided by a sandwich variance estimator with a family of heteroskedasticity-consistent finite-sample corrections adapted to the weighted leverage of the method, or by a pairs bootstrap that re-estimates the kernel width on each replicate (percentile, normal and bias-corrected accelerated intervals wi [...truncated...]
Author: Eufrasio de Andrade Lima Neto [aut], Marcelo Rodrigo Portela Ferreira [aut, cre]
Maintainer: Marcelo Rodrigo Portela Ferreira <marcelo@de.ufpb.br>

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New package ggaltdata with initial version 0.1.0
Package: ggaltdata
Title: Data-Driven Alternative Text and Data Tables for 'ggplot2' Charts
Version: 0.1.0
Description: Generates alternative text that states what a 'ggplot2' chart shows (highest and lowest values, rankings, trends, gaps between groups, overlap of intervals), a long description and the data table, computed from the data of the chart itself. Output for 'R Markdown', 'Quarto', 'Word', saved images and 'Shiny', in English and Italian.
License: MIT + file LICENSE
URL: https://github.com/fniniv/ggaltdata
BugReports: https://github.com/fniniv/ggaltdata/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: ggplot2 (>= 3.5.2), rlang, stats, utils
Suggests: knitr, officer, rmarkdown, sf, shiny, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-01 23:09:49 UTC; feder
Author: Federico Ninivaggi [aut, cre]
Maintainer: Federico Ninivaggi <fninivdevelopment@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:22:06 UTC

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New package enviPathR with initial version 1.0.0
Package: enviPathR
Title: Client for the 'enviPath' 'RESTful' API
Version: 1.0.0
Description: The environmental pathway database ('enviPath') is a key resource for the functional annotation and pathway prediction of microbial communities, providing knowledge on biotransformation pathways along with the chemical reactions and produced compounds. This package enables the programmatic access to 'enviPath' by porting the database 'RESTful' API from R. This includes methods to both retrieve entries and predict pathways for custom compounds.
Depends: R (>= 4.1.0)
Imports: BiocParallel, httr2, stats, stringr, tools
Suggests: BiocStyle, ggraph, httptest2, igraph, knitr, rmarkdown, testthat (>= 3.0.0)
License: Artistic-2.0
Encoding: UTF-8
URL: https://envipath.github.io/enviPathR/
BugReports: https://github.com/enviPath/enviPathR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 00:57:41 UTC; giulio
Author: Giulio Benedetti [aut, cre, cph]
Maintainer: Giulio Benedetti <giulio.benedetti@utu.fi>
Repository: CRAN
Date/Publication: 2026-10-14 15:32:06 UTC

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New package cam2model with initial version 0.3.0
Package: cam2model
Title: Preprocessing Trap Camera Data for Machine Learning Models
Version: 0.3.0
Description: Provides tools for preprocessing camera trap image data to prepare it for training machine learning models. It automates tasks such as extracting EXIF metadata, processing and analyzing image attributes, selecting relevant images (e.g., daytime photos), sampling subsets, and managing file organization. These features streamline the workflow for ecological research and wildlife monitoring projects. Additionally, the package includes tools for generating exploratory visualizations and creating annotation datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, tidyr, lubridate, stringr, ggplot2, readr, fs, exifr, rlang, tibble, progressr
Suggests: future, future.apply, knitr, rmarkdown, testthat
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 00:31:32 UTC; artu
Author: Edlin Guerra-Castro [aut, cph] , Arturo Sanchez-Porras [aut, cre]
Maintainer: Arturo Sanchez-Porras <sp.arturo@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 15:32:11 UTC

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Package SemNeT updated to version 2.1.0 with previous version 2.0.0 dated 2026-09-12

Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation, and a function to compute global network measures. Significance tests, including permutation testing, and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre] , Yoed N. Kenett [aut, ctb]
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

Diff between SemNeT versions 2.0.0 dated 2026-09-12 and 2.1.0 dated 2026-10-14

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Package gpuinfo updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-26

Title: Lightweight Hardware and GPU Compute Detection
Description: Detects central processing unit topology, process-available cores, host and container memory, graphics processing unit hardware, and reports the apparent availability of 'CUDA', 'Metal', 'ROCm', and 'OpenCL' compute backends, with a read-only shared-library inventory for the 'CUDA' runtime, 'cuBLAS', 'cuFFT', 'cuSOLVER', 'cuRAND', and optional 'NCCL' libraries. Detection uses operating-system information, documented platform interfaces, and optional command-line utilities, without requiring a GPU framework, 'Python', or a vendor software development kit. Backend interpretation follows the official 'CUDA' <https://docs.nvidia.com/cuda/cuda-driver-api/>, 'Metal' <https://developer.apple.com/documentation/metal>, 'ROCm' <https://rocm.docs.amd.com/>, and 'OpenCL' <https://registry.khronos.org/OpenCL/> documentation. 'NCCL' version inspection follows its documented API <https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/api/comms.html>. Process-level GPU [...truncated...]
Author: Stefano Cacciatore [aut, cre]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

Diff between gpuinfo versions 0.1.0 dated 2026-09-26 and 0.2.0 dated 2026-10-14

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Package maestro updated to version 1.4.0 with previous version 1.3.1 dated 2026-09-15

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>

Diff between maestro versions 1.3.1 dated 2026-09-15 and 1.4.0 dated 2026-10-14

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Package ggimage updated to version 0.3.7 with previous version 0.3.6 dated 2026-09-27

Title: Use Images in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system. Images can be drawn at data points, used as the background of a plot, or embedded as a sub-plot, and can be read from local files or downloaded from remote services such as 'Pokemon', 'PhyloPic', and emoji and icon collections. An interactive geom is provided for 'HTML' output.
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [ctb] , Yonghe Xia [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggimage versions 0.3.6 dated 2026-09-27 and 0.3.7 dated 2026-10-14

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Package EffectStars2 updated to version 0.1-4 with previous version 0.1-3 dated 2019-10-22

Title: Effect Stars
Description: Provides functions for the method of effect stars as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. Effect stars can be used to visualize estimates of parameters corresponding to different groups, for example in multinomial logit models. Beside the main function 'effectstars' there exist methods for special objects, for example for 'vglm' objects from the 'VGAM' package.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between EffectStars2 versions 0.1-3 dated 2019-10-22 and 0.1-4 dated 2026-10-14

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Package EffectStars updated to version 1.9-2 with previous version 1.9-1 dated 2019-10-22

Title: Visualization of Categorical Response Models
Description: Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.
Author: Gunther Schauberger [aut, cre]
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between EffectStars versions 1.9-1 dated 2019-10-22 and 1.9-2 dated 2026-10-14

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Package svmf updated to version 1.1 with previous version 1.0 dated 2026-06-18

Title: The Scaled von Mises-Fisher Distribution
Description: Functions to perform maximum likelihood estimation of and random value simulation from the scaled von Mises-Fisher distribution. The distribution is elliptical symmetric and can be applied to spherical and hyper-spherical data. The reference paper is Scealy J.L. and Wood A.T.A. (2019), <doi:10.1080/01621459.2019.1585249>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between svmf versions 1.0 dated 2026-06-18 and 1.1 dated 2026-10-14

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New package publicdataau with initial version 0.4.1
Package: publicdataau
Title: Australian Government Open Data from 'publicdata.au'
Version: 0.4.1
Description: Search, filter, total and download the Australian government open data republished at <https://publicdata.au/>, where every version of a dataset is kept at a URL that never changes. Rows and totals come from the site's query API as typed, labelled 'tibble' data frames, and whole tables from its files in any of twelve formats. Map layers come as 'sf' objects, and rows that carry the code of an area join to the Australian Bureau of Statistics boundaries in one call. The 'DuckDB' file of any version can be attached over the web and queried in place with 'DBI' or 'dplyr'. Downloads can be kept in a cache, since a version never changes, the changes between versions are listed row by row, and the source file, fetch time and checksum of every version are on record. Every answer carries the version it came from and the attribution the publisher's licence requires, and citations come as 'BibTeX'. Any dataset the site serves works by its slug, so a new dataset needs no new release.
License: MIT + file LICENSE
Language: en-GB
URL: https://publicdata.au/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), jsonlite, rlang, tibble
Suggests: arrow, DBI, dbplyr, dplyr, duckdb, knitr, rmarkdown, sf, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 19:54:53 UTC; cameron
Author: Cameron Young [aut, cre], National Digital [cph, fnd]
Maintainer: Cameron Young <cameron@nationaldigital.com.au>
Repository: CRAN
Date/Publication: 2026-10-14 12:32:07 UTC

More information about publicdataau at CRAN
Permanent link

New package phylopred with initial version 0.1.0
Package: phylopred
Title: Predicting Species Interactions from Phylogenetic Distance
Version: 0.1.0
Description: Tools to model and predict host-parasite (and other pairwise species) interactions from phylogenetic distance under presence-only data. Provides pairwise host-sharing logistic models with cluster-aware bootstrap and slope comparison between clades, presence-only performance metrics (a threshold efficiency metric and a phylogenetic partial receiver operating characteristic (ROC) adapted from Peterson, Papes and Soberon (2008) <doi:10.1016/j.ecolmodel.2007.11.008>), positive-unlabeled host prediction, and leave-hosts-out validation. Methods build on Robles-Fernandez and Lira-Noriega (2017) <doi:10.3389/fams.2017.00017>.
License: MIT + file LICENSE
URL: https://github.com/alrobles/phylopred, https://alrobles.github.io/phylopred/
BugReports: https://github.com/alrobles/phylopred/issues
Encoding: UTF-8
LazyData: true
Imports: graphics, stats, utils, xplus
Suggests: ape, cofid, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-09-30 15:18:57 UTC; alrobles
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 12:12:07 UTC

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New package n3d with initial version 0.1.0
Package: n3d
Title: Speaker Diarization with 'Nemotron 3 Diarization' in R 'torch'
Version: 0.1.0
Date: 2026-10-01
Description: Determines "who spoke when" in recorded or streaming audio with a native R 'torch' implementation of the 'NVIDIA' 'Nemotron 3 Diarization' model <https://huggingface.co/nvidia/Nemotron-3-Diarization>, a Streaming 'Sortformer' that tracks up to eight speakers in order of first arrival. Log-mel feature extraction, the transformer encoder and the arrival-order speaker cache are implemented in R; weights are downloaded from 'Hugging Face' with the 'hfhub' package on request.
License: Apache License (>= 2)
Copyright: see inst/COPYRIGHTS
Depends: R (>= 4.4.0)
Imports: torch (>= 0.17.0), safetensors, hfhub, av, utils
Suggests: stats, tinytest
URL: https://github.com/cornball-ai/n3d
BugReports: https://github.com/cornball-ai/n3d/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 18:51:37 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The HuggingFace Team [cph] ; see inst/COPYRIGHTS)
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-10-14 12:22:07 UTC

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Package ibger updated to version 0.2.1 with previous version 0.2.0 dated 2026-07-08

Title: Access the 'IBGE' Aggregate Data API from 'R'
Description: 'Tidyverse'-friendly interface to the Brazilian Institute of Geography and Statistics ('IBGE') aggregate data 'API' <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Query aggregates, variables, localities, periods, and metadata from surveys and censuses conducted by 'IBGE'.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Allan Quadros [rev] , Diana Garcia-Cortes [rev]
Maintainer: Andre Leite <leite@castlab.org>

Diff between ibger versions 0.2.0 dated 2026-07-08 and 0.2.1 dated 2026-10-14

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Package flextable updated to version 0.10.3 with previous version 0.10.1 dated 2026-09-10

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.10.1 dated 2026-09-10 and 0.10.3 dated 2026-10-14

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Package curl updated to version 8.1.0 with previous version 8.0.0 dated 2026-08-25

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 8.0.0 dated 2026-08-25 and 8.1.0 dated 2026-10-14

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Package BayesSIM updated to version 2.0.0 with previous version 1.0.4 dated 2026-05-13

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

Diff between BayesSIM versions 1.0.4 dated 2026-05-13 and 2.0.0 dated 2026-10-14

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More information about BayesSIM at CRAN
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New package theeuh with initial version 0.1.5
Package: theeuh
Title: Write Spaces to Korean Sentences
Version: 0.1.5
Description: Restores spacing in Korean sentences using a bundled neural network model and 'ONNX Runtime' <https://onnxruntime.ai/> through 'churon'. Inference runs locally without a web service or automatic downloads.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/mrchypark/theeuh, https://mrchypark.github.io/theeuh/
BugReports: https://github.com/mrchypark/theeuh/issues
Depends: R (>= 4.0.0)
Imports: churon (>= 0.1.13)
SystemRequirements: ONNX Runtime (>= 1.28.0, optional at runtime)
Suggests: covr, testthat (>= 3.2.0)
NeedsCompilation: no
Packaged: 2026-10-02 13:47:27 UTC; cypark
Author: Chanyub Park [aut, cre] , Heewon Jeon [aut]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:02 UTC

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New package scNPM with initial version 1.0.6
Package: scNPM
Title: Single-Cell Network Propensity Matching
Version: 1.0.6
Date: 2026-10-02
Description: Estimates and compares heterogeneous gene conditional-dependence networks from single-cell expression data. A latent Gaussian mixture and probit observation mechanism represent cellular heterogeneity and zero observations. Protein interaction information supplies edge-specific prior weights, while network propensity matching links cell clusters across conditions and guides adaptation. Staged inference freezes stable matching, disables feedback, and retains baseline-model samples for posterior group and directional differential edge selection. Functions assess balance, record criterion diagnostics, and visualize within-condition and differential networks.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: Rcpp (>= 1.0.10), Matrix, igraph (>= 1.3.0), ggplot2 (>= 3.3.0), ggrepel (>= 0.9.0), scales (>= 1.2.0), stats, utils, tools
LinkingTo: Rcpp, RcppArmadillo (>= 0.12.6.4.0), RcppParallel (>= 5.1.7)
SystemRequirements: C++17, OpenMP
Depends: R (>= 4.0.0)
URL: https://github.com/taostat1/scNPM_R_package
BugReports: https://github.com/taostat1/scNPM_R_package/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-02 13:46:06 UTC; Lenovo
Author: Tao Liu [aut, cre]
Maintainer: Tao Liu <25210690190@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2026-10-14 11:20:02 UTC

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New package retroglyph with initial version 0.0.9
Package: retroglyph
Title: A Trusted Mini-Agent to Reconstruct Individual Patient Data from Kaplan-Meier Images
Version: 0.0.9
Description: The enclosed agent reconstructs individual patient data from published Kaplan-Meier curve images. Relative to other Kaplan-Meier reconstruction tools, it excels at untangling egregiously occluded Kaplan-Meier curves, and the digitization phase achieves a high level of pixel precision.
License: MIT + file LICENSE
URL: https://wlandau.github.io/retroglyph/
BugReports: https://github.com/wlandau/retroglyph/issues
Depends: R (>= 4.5.0)
Imports: base64enc, bslib, diffviewer, dplyr, ellmer (>= 0.4.1), htmltools, htmlwidgets, igraph, IPDfromKM, later, magick, markdown, promises, R6, R.utils, shiny, shinychat (>= 0.5.0), stats, survival, tesseract, tibble, tools, utils
Suggests: shinytest2, testthat (>= 3.0.0)
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 16:18:17 UTC; C240390
Author: William Michael Landau [aut, cre], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:50:02 UTC

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New package quicopt with initial version 0.1.1
Package: quicopt
Title: Client for the 'Quicopt' Optimization Service
Version: 0.1.1
Description: Author an optimization model — including a model under uncertainty, with random variables, expectations, conditional value at risk and chance constraints — in a native R interface, and solve it with the 'Quicopt' service <https://quicopt.com>. Models are encoded to the service's wire format and solved remotely; no solver is installed locally. Random variables carry distributions or empirical scenario columns taken directly from a data frame, so observed history becomes a stochastic program in one call.
License: Apache License (== 2.0)
Encoding: UTF-8
Imports: curl, jsonlite, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
URL: https://quicopt.github.io/quicopt-r/, https://github.com/Quicopt/quicopt-r
BugReports: https://github.com/Quicopt/quicopt-r/issues
NeedsCompilation: no
Packaged: 2026-10-02 13:09:43 UTC; t.bode
Author: Tim Bode [aut, cre, cph]
Maintainer: Tim Bode <t.bode@fz-juelich.de>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:08 UTC

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Package plantmix updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-20

Title: Genetic Study of Plant Mixtures
Description: Fit linear mixed models dedicated to the genetic study of plant mixtures, such as those based on general and specific mixing abilities (GMA-SMA) as well as direct and social breeding values (DBV-SBV), also known as direct and indirect genetic effects (DGE-IGE). More details in Forst et al (2019, <doi:10.1016/j.fcr.2019.107571>) for GMA-SMA models, and Salomon et al (2026, <doi:10.1093/genetics/iyag177>) for DBV-SBV models. The package also provides functions to optimize experimental designs, simulate data sets and compute interaction indices.
Author: Timothee Flutre [aut, ctb, cre] , INRAE [cph, fnd], Jerome Enjalbert [ctb] , Emma Forst [ctb] , Maxence Remerand [ctb] , Jemay Salomon [ctb]
Maintainer: Timothee Flutre <timothee.flutre@inrae.fr>

Diff between plantmix versions 1.0.3 dated 2026-06-20 and 1.0.4 dated 2026-10-14

 DESCRIPTION                                  |    8 
 MD5                                          |   77 ++++---
 NAMESPACE                                    |    2 
 NEWS.md                                      |   17 +
 R/DBV_SBV_crop_mix_simul.R                   |  165 ++++++++++++++--
 R/indices.R                                  |  228 ++++++++++++++++-------
 R/mixing_ability.R                           |    6 
 R/optim_designs_common.R                     |  151 +++++++++++++++
 R/optim_designs_crop_mix.R                   |   19 +
 R/optim_designs_var_mix.R                    |   30 ++-
 R/plantmix-package.R                         |    4 
 R/uncertainty_RY.R                           |  113 ++++++-----
 R/uncertainty_RYM.R                          |  120 ++++++++----
 R/utils_linear_algebra.R                     |    2 
 R/utils_stat.R                               |   31 +--
 inst/doc/vig1_intro-GMA-SMA.html             |   22 +-
 inst/doc/vig2_GMA-SMA_simul-infer.html       |  144 +++++++-------
 inst/doc/vig3_DBV-SBV_crop-mix_testers.Rmd   |    3 
 inst/doc/vig3_DBV-SBV_crop-mix_testers.html  |  264 +++++++++++++--------------
 man/LER.Rd                                   |    8 
 man/RY.Rd                                    |   14 -
 man/RYM.Rd                                   |    6 
 man/RYP.Rd                                   |   76 ++++++-
 man/RYT.Rd                                   |   10 -
 man/estimRYMRep.Rd                           |   13 -
 man/estimRYRep.Rd                            |    2 
 man/getDesignBinaryCropMix.Rd                |    6 
 man/getDesignBinaryVarMix.Rd                 |   11 +
 man/invvecMixes.Rd                           |    2 
 man/plotDesignCropMix.Rd                     |    3 
 man/plotDesignVarMix.Rd                      |    3 
 man/plotDiallel.Rd                           |   22 ++
 src/TMB/DBV_SBV_crop_mix.hpp                 |   16 -
 src/TMB/include/helper.hpp                   |    2 
 tests/testthat/test_incomp-balanced-design.R |only
 tests/testthat/test_indices.R                |   89 ++++++++-
 tests/testthat/test_mixing_ability.R         |   16 +
 tests/testthat/test_uncertainty_RY.R         |only
 tests/testthat/test_uncertainty_RYM.R        |only
 tests/testthat/test_utils_stat.R             |   29 ++
 vignettes/vig3_DBV-SBV_crop-mix_testers.Rmd  |    3 
 41 files changed, 1215 insertions(+), 522 deletions(-)

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New package jekylldown with initial version 0.3.4
Package: jekylldown
Title: Create, Build and Serve 'Jekyll' Websites from 'R Markdown' and 'Quarto'
Version: 0.3.4
Description: Do for 'Jekyll' what 'blogdown' does for 'Hugo': create sites from the most popular themes ('al-folio', 'Chirpy', 'Minimal Mistakes', 'minima'), write posts in R Markdown or 'Quarto' that are knitted to Markdown consumed natively by 'Jekyll', customize theme colors, fonts and elements declaratively from R, migrate 'blogdown'/'Hugo' sites, build and serve the site locally with live reload, and diagnose the Ruby/'Jekyll' toolchain. 'Jekyll' is invoked strictly via its command line interface; no R-Ruby language bridge is used.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: cli, fs, knitr, processx, servr, xfun, yaml
Suggests: archive, quarto, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
SystemRequirements: Ruby (>= 3.0), jekyll, bundler
URL: https://github.com/allanvc/jekylldown
BugReports: https://github.com/allanvc/jekylldown/issues
NeedsCompilation: no
Packaged: 2026-10-02 14:50:07 UTC; allan
Author: Allan Quadros [aut, cre]
Maintainer: Allan Quadros <allanvcq@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 11:20:08 UTC

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New package brochure with initial version 1.0.0
Package: brochure
Title: Multipage 'Shiny' Apps
Version: 1.0.0
Description: Build natively multi-page 'Shiny' applications, serving content on several endpoints instead of a single page. Pages are declared with their own user interface and server function and are dispatched by URL with 'routr', including parameterised routes. Redirections, request and response middleware, and helpers to read and set cookies are also provided.
License: MIT + file LICENSE
URL: https://github.com/colinfay/brochure, https://github.com/ColinFay/brochure
BugReports: https://github.com/ColinFay/brochure/issues
Imports: attempt (>= 0.3.1), htmltools, purrr, rlang (>= 0.4.12), routr (>= 2.0.0), shiny (>= 1.6.0)
Suggests: golem (>= 0.3.0), knitr, rmarkdown, testthat (>= 3.0.0), usethis, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-02 12:53:55 UTC; colinfay
Author: Colin Fay [aut, cre, cph]
Maintainer: Colin Fay <contact@colinfay.me>
Repository: CRAN
Date/Publication: 2026-10-14 11:10:22 UTC

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Package WaterBalanceR updated to version 0.1.22 with previous version 0.1.21 dated 2026-03-13

Title: Calculate High Resolution Water Balance of Starch Potatoes
Description: Calculates the water balance of starch potatoes from Normalized Distance Vegetation Index (NDVI) images, German Weather Service (DWD) reference evapotranspiration, German Weather Service RADOLAN precipitation data and irrigation information. For more details see Piernicke et al. (2025) <doi:10.3390/rs17183227>.
Author: Thomas Piernicke [aut, cre]
Maintainer: Thomas Piernicke <thomasp@gfz.de>

Diff between WaterBalanceR versions 0.1.21 dated 2026-03-13 and 0.1.22 dated 2026-10-14

 DESCRIPTION                             |   12 
 MD5                                     |   18 
 NEWS.md                                 |   13 
 R/DownloadET0fromDWD.R                  |   33 
 R/DownloadSentinel2.R                   |  251 +++---
 R/calcWB.R                              |   31 
 R/calcWBplots.R                         | 1338 +++++++++++++++++++++++---------
 inst/doc/WaterBalanceR_DataSources.html |   10 
 inst/doc/WaterBalanceR_Workflow.html    |   16 
 man/DownloadSentinel2.Rd                |    5 
 10 files changed, 1243 insertions(+), 484 deletions(-)

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Package MultiscaleSCP updated to version 0.2.0 with previous version 0.1.1 dated 2026-03-30

Title: Multiscale Systematic Conservation Planning Across Nested H3 Grids
Description: Provides tools for multiscale systematic conservation planning using the H3 hierarchical hexagonal grid system (Uber Technologies (2024) <https://h3geo.org>) and the 'prioritizr' package (Hanson et al. (2025) <doi:10.1111/cobi.14376>). Supports the definition and solution of conservation problems across nested H3 resolutions with resolution-specific features, costs, and management attributes, including cross-scale connectivity penalties derived from parent-child relationships. Includes a multiscale minimum-set objective that allows planning units at different resolutions to contribute toward feature representation targets while accounting for overlapping costs and feature amounts across nested planning units. Also includes utilities to evaluate solutions using multiscale-aware diagnostics and to post-process optimization outputs into alternative area-targeted conservation scenarios.
Author: Pablo Merlo [aut, cre] , Oisin Callery [aut] , Carlos Tighe [ctb], Anthony Grehan [ctb]
Maintainer: Pablo Merlo <pablo.merlo@universityofgalway.ie>

Diff between MultiscaleSCP versions 0.1.1 dated 2026-03-30 and 0.2.0 dated 2026-10-14

 DESCRIPTION                                   |   30 
 MD5                                           |   78 -
 NAMESPACE                                     |   11 
 NEWS.md                                       |   20 
 R/RcppExports.R                               |only
 R/add-multiscale-min-set-objective.R          |only
 R/add-multiscale-min-set.R                    |only
 R/add-multiscale-relative-targets.R           |only
 R/build-multiscale-atoms.R                    |only
 R/build-multiscale-objective-data.R           |only
 R/deduplicate_retune.R                        |  292 ++--
 R/eval-multiscale-atom-solution.R             |only
 R/evaluation.R                                | 1524 +++++++++++------------
 R/globals.R                                   |   10 
 R/h3_hierarchy.R                              |  421 +++---
 R/load-multiscale-feature.R                   |only
 R/multiscale-atom-internal.R                  |only
 R/multiscale-backend.R                        |only
 R/multiscale_connect_matrix.R                 |  160 +-
 R/multiscale_connectivity.R                   |  490 +++----
 R/scoring.R                                   |  920 ++++++-------
 R/selection_stratified.R                      | 1129 ++++++++---------
 R/utils.R                                     |   58 
 build/vignette.rds                            |binary
 inst/doc/MultiscaleSCP_workflow_vignette.R    |  388 +++--
 inst/doc/MultiscaleSCP_workflow_vignette.Rmd  |  713 ++++++----
 inst/doc/MultiscaleSCP_workflow_vignette.html | 1714 ++++++++++++++------------
 man/add_multiscale_connectivity_penalties.Rd  |   35 
 man/add_multiscale_min_set.Rd                 |only
 man/add_multiscale_min_set_objective.Rd       |only
 man/add_multiscale_relative_targets.Rd        |only
 man/build_crossscale_index.Rd                 |   11 
 man/build_h3_maps.Rd                          |   29 
 man/build_multiscale_atoms.Rd                 |only
 man/build_multiscale_connectivity_matrix.Rd   |   14 
 man/build_multiscale_feature_atoms.Rd         |only
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 man/deduplicate_h3_selections.Rd              |    2 
 man/eval_exact_raster_coverage.Rd             |    9 
 man/eval_geom_feature_coverage.Rd             |    9 
 man/eval_multiscale_atom_solution.Rd          |only
 man/load_multiscale_feature.Rd                |only
 man/multiscale_feature_cols.Rd                |only
 src                                           |only
 tests                                         |only
 vignettes/MultiscaleSCP_workflow_vignette.Rmd |  713 ++++++----
 46 files changed, 4696 insertions(+), 4084 deletions(-)

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Package misty updated to version 0.8.4 with previous version 0.8.3 dated 2026-08-02

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data handling (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and resid [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.8.3 dated 2026-08-02 and 0.8.4 dated 2026-10-14

 DESCRIPTION                 |    8 
 MD5                         |  494 +++----
 NAMESPACE                   |   20 
 NEWS.md                     |  301 ++--
 R/aov.b.R                   |  160 +-
 R/aov.w.R                   |  288 ++--
 R/blimp.R                   |   18 
 R/blimp.bayes.R             |   16 
 R/blimp.plot.R              |   24 
 R/blimp.print.R             |   28 
 R/blimp.run.R               |    6 
 R/blimp.update.R            |   18 
 R/boot.bs.R                 |   16 
 R/center.R                  |  129 -
 R/check.collin.R            |   26 
 R/check.outlier.R           |  306 +++-
 R/check.resid.R             |  676 ++-------
 R/chr.color.R               |   10 
 R/chr.grep.R                |   14 
 R/chr.gsub.R                |   10 
 R/chr.omit.R                |   10 
 R/chr.trim.R                |   12 
 R/chr.trunc.R               |   21 
 R/ci.cor.R                  |  534 +++----
 R/ci.mean.R                 |  629 ++++-----
 R/ci.mean.diff.R            |  617 ++++----
 R/ci.mean.w.R               |   57 
 R/ci.prop.R                 |  442 +++---
 R/ci.prop.diff.R            |  432 +++---
 R/ci.var.R                  |  575 ++++----
 R/cluster.rwg.R             |   46 
 R/cluster.scores.R          |   57 
 R/coding.R                  |   51 
 R/coeff.robust.R            |   14 
 R/coeff.std.R               |   12 
 R/cohens.d.R                |  459 +++---
 R/cor.matrix.R              |  153 +-
 R/crosstab.R                |   47 
 R/descript.R                |   95 -
 R/df.check.R                |   21 
 R/df.duplicated.R           |   25 
 R/df.head.R                 |   32 
 R/df.long.R                 |   24 
 R/df.merge.R                |   10 
 R/df.move.R                 |   10 
 R/df.rbind.R                |    2 
 R/df.rename.R               |   19 
 R/df.sort.R                 |   10 
 R/df.subset.R               |    8 
 R/difftest.chibarsq.R       |   17 
 R/dominance.R               |   22 
 R/dominance.manual.R        |   21 
 R/effsize.R                 |   52 
 R/freq.R                    |   37 
 R/indirect.R                |   29 
 R/item.alpha.R              |   36 
 R/item.cfa.R                |   78 -
 R/item.dfi.R                |   24 
 R/item.distract.R           |   41 
 R/item.invar.R              |  121 -
 R/item.noninvar.R           |   26 
 R/item.omega.R              |   37 
 R/item.reverse.R            |   51 
 R/item.scores.R             |   30 
 R/item.stats.R              |   80 -
 R/lagged.R                  |   37 
 R/libraries.R               |    8 
 R/modcomp.R                 |   14 
 R/mplus.R                   |   34 
 R/mplus.bayes.R             |   16 
 R/mplus.lca.R               |   59 
 R/mplus.lca.summa.R         |   16 
 R/mplus.plot.R              |   56 
 R/mplus.print.R             |  230 +--
 R/mplus.run.R               |    8 
 R/mplus.update.R            |   20 
 R/multilevel.alpha.R        |   48 
 R/multilevel.cfa.R          |   80 -
 R/multilevel.cor.R          |  162 +-
 R/multilevel.descript.R     |   88 -
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 R/multilevel.icc.R          |   48 
 R/multilevel.indirect.R     |   14 
 R/multilevel.invar.R        |   99 -
 R/multilevel.omega.R        |   44 
 R/multilevel.r2.R           |   62 
 R/multilevel.r2.manual.R    |   55 
 R/na.as.R                   |   48 
 R/na.auxiliary.R            |   35 
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 R/na.indicator.R            |   30 
 R/na.pattern.R              |  148 --
 R/na.prop.R                 |   28 
 R/na.satcor.R               |   15 
 R/na.test.R                 |   41 
 R/plot.misty.object.R       | 3048 ++++++++++++++++++++++++++++++--------------
 R/print.misty.object.R      | 1977 ++++++++++++++++++++--------
 R/read.data.R               |   10 
 R/read.dta.R                |   10 
 R/read.mplus.R              |   16 
 R/read.sav.R                |   10 
 R/read.xlsx.R               |   10 
 R/rec.R                     |   53 
 R/restart.R                 |    4 
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 R/setsource.R               |    6 
 R/sim.lavaan.R              |   10 
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 R/test.welch.R              |  264 ++-
 R/test.z.R                  |  516 ++++---
 R/uniq.R                    |   52 
 R/utils.R                   | 1431 ++++++++++++++++++--
 R/write.result.R            |  622 ++++++--
 man/aov.b.Rd                |   69 
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 man/check.outlier.Rd        |  180 ++
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 man/cor.matrix.Rd           |   82 -
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 man/dominance.Rd            |    6 
 man/dominance.manual.Rd     |    6 
 man/effsize.Rd              |   15 
 man/freq.Rd                 |    4 
 man/indirect.Rd             |    6 
 man/item.alpha.Rd           |    6 
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 man/item.dfi.Rd             |    8 
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 man/item.noninvar.Rd        |    6 
 man/item.omega.Rd           |    4 
 man/item.reverse.Rd         |    6 
 man/item.scores.Rd          |    4 
 man/item.stats.Rd           |    8 
 man/lagged.Rd               |    8 
 man/libraries.Rd            |    4 
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More information about misty at CRAN
Permanent link

Package gert updated to version 2.5.0 with previous version 2.4.1 dated 2026-08-19

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Maelle Salmon [aut] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gert versions 2.4.1 dated 2026-08-19 and 2.5.0 dated 2026-10-14

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More information about gert at CRAN
Permanent link

New package frostlake with initial version 0.1.0
Package: frostlake
Title: 'DBI' Backend for the 'Frostlake' Database Engine
Version: 0.1.0
Description: A 'DBI'-compliant driver for 'Frostlake', a SQL engine emulating core 'Snowflake' features. Speaks the engine's HTTP protocol against a running 'DatabaseHttpServer': one POST per statement with a session id the server issues on first contact, so session state (current database/schema, transactions) persists across statements. Query results arrive as data frames with Snowflake types mapped to R types.
License: Apache License (== 2.0)
URL: https://github.com/Frostlake-DB/frostlake-r
BugReports: https://github.com/Frostlake-DB/frostlake-r/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: DBI (>= 1.1.0), curl, jsonlite, methods
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-01 20:14:35 UTC; nous
Author: MLorek [aut, cre, cph]
Maintainer: MLorek <michal.lorek@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-14 10:50:02 UTC

More information about frostlake at CRAN
Permanent link

Package SIMPLE.REGRESSION updated to version 0.3.4 with previous version 0.3.1 dated 2026-01-21

Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and count variable regressions. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. The output for some functions includes Bayes Factors and, if requested, regression coefficients from Bayesian Markov Chain Monte Carlo analyses. There are numerous options for model plots. The REGIONS_OF_SIGNIFICANCE function also provides Johnson-Neyman regions of significance and plots of interactions for both lm and lme models. There is also a function for partial and semipartial correlations and a function for conducting Cohen's set correlation analyses.
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

Diff between SIMPLE.REGRESSION versions 0.3.1 dated 2026-01-21 and 0.3.4 dated 2026-10-14

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Package melodi updated to version 1.2.0 with previous version 1.1.2 dated 2026-08-28

Title: Download Insee French Institute of Statistics Open Data
Description: A wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.
Author: Cedric Bobinec [aut, cre], Christophe Goudeau [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Cedric Bobinec <cedric.bobinec@insee.fr>

Diff between melodi versions 1.1.2 dated 2026-08-28 and 1.2.0 dated 2026-10-14

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More information about melodi at CRAN
Permanent link

Package focus updated to version 0.1.11 with previous version 0.1.10 dated 2026-09-16

Title: Online Changepoint Detection in Univariate and Multivariate Data Streams
Description: Provides high-performance online changepoint detection in univariate and multivariate data streams. Implements efficient 'C++' backends for the 'focus', 'md-focus' and 'np-focus' algorithms, with an 'R' interface for real-time monitoring and offline analysis. The package bundles code from 'Qhull' <http://www.qhull.org/>, by C. B. Barber and The Geometry Center. See 'inst/COPYRIGHTS' for details.
Author: Gaetano Romano [aut, cre, trl], Kes Ward [aut], Yuntang Fan [aut], Guillem Rigaill [aut], Vincent Runge [aut], Idris A. Eckley [aut], Paul Fearnhead [aut], C. B. Barber [ctb, cph] , The Geometry Center [cph]
Maintainer: Gaetano Romano <g.romano@lancaster.ac.uk>

Diff between focus versions 0.1.10 dated 2026-09-16 and 0.1.11 dated 2026-10-14

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More information about focus at CRAN
Permanent link

Package tidyllm updated to version 0.7.1 with previous version 0.7.0 dated 2026-10-05

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

Diff between tidyllm versions 0.7.0 dated 2026-10-05 and 0.7.1 dated 2026-10-14

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More information about tidyllm at CRAN
Permanent link

Package pharmaverseadam updated to version 1.4.0 with previous version 1.3.0 dated 2026-02-20

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Fanny Gautier [aut, cre] , Stefan Bundfuss [aut] , Edoardo Mancini [aut] , Lina Patil [aut], Gerardo Jose Rodriguez [aut] , Vladyslav Shuliar [aut] , Cytel Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [cph, fnd]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

Diff between pharmaverseadam versions 1.3.0 dated 2026-02-20 and 1.4.0 dated 2026-10-14

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More information about pharmaverseadam at CRAN
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Package nonmem2rx updated to version 0.1.12 with previous version 0.1.11 dated 2026-09-22

Title: Converts 'NONMEM' Models to 'rxode2'
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nonmem2rx versions 0.1.11 dated 2026-09-22 and 0.1.12 dated 2026-10-14

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Package manynet updated to version 2.4.0 with previous version 2.3.4 dated 2026-09-10

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Tomas Diviak [ctb], Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between manynet versions 2.3.4 dated 2026-09-10 and 2.4.0 dated 2026-10-14

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Package FactoMineR updated to version 2.18 with previous version 2.17 dated 2026-09-08

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

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Package rerddap updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-02

Title: General Purpose Client for 'ERDDAP™' Servers
Description: General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Author: Scott Chamberlain [aut], Ben Tupper [ctb], Salvador Jesus Fernandez Bejarano [ctb], Roy Mendelssohn [cre, ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package pwrss updated to version 1.3.3 with previous version 1.3.1 dated 2026-09-29

Title: Statistical Power, Sample Size, and Detectable Effect Calculations
Description: Flexible and comprehensive functions for statistical power, minimum required sample size, and minimum detectable effect calculations across a wide range of commonly used hypothesis tests in psychological, biomedical, and social sciences.
Author: Metin Bulus [aut, cre, cph] , Sebastian Jentschke [aut, cph]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package openalexR updated to version 3.1.2 with previous version 3.1.1 dated 2026-10-09

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://help.openalex.org/>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package nparLD updated to version 2.3.3 with previous version 2.3.1 dated 2026-08-28

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Marek Sztuka [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package ngme2 readmission to version 1.0.1 with previous version 1.0.0 dated 2026-09-27

Title: Linear Latent Non-Gaussian Models with Flexible Distributions
Description: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" <doi:10.48550/arXiv.2602.23987 [...truncated...]
Author: David Bolin [aut, cph], Xiaotian Jin [aut, cre], Alexandre Simas [aut], Jonas Wallin [aut], Andrea V. Rocha [ctb] , Timothy A. Davis [ctb, cph] , Patrick R. Amestoy [ctb, cph] , Iain S. Duff [ctb, cph] , John K. Reid [ctb, cph] , Yanqing Chen [ctb, c [...truncated...]
Maintainer: Xiaotian Jin <xiaotian.jin@kaust.edu.sa>

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Package impectR updated to version 2.6.0 with previous version 2.5.6 dated 2026-06-25

Title: Access Data from the 'Impect' API
Description: Pull data from the 'Impect' Customer API <https://glossary.impect.com/api-design>. The package can retrieve data such as events or match sums.
Author: Catapult Sports [cph], Florian Schmitt [aut, cre], Thomas Walentin [ctb]
Maintainer: Florian Schmitt <florian.schmitt@catapultsports.com>

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Package AIscreenR updated to version 0.5.0 with previous version 0.4.0 dated 2026-07-01

Title: AI Screening Tools in R for Systematic Reviewing
Description: Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://developers.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2025) <DOI:10.1037/met0000769>.
Author: Mikkel H. Vembye [aut, cre] , Thomas Olsen [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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 R/tabscreen_ollama.r                                  |    2 
 build/partial.rdb                                     |binary
 build/vignette.rds                                    |binary
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 45 files changed, 477 insertions(+), 124 deletions(-)

More information about AIscreenR at CRAN
Permanent link

Package matrixprofiler updated to version 0.1.12 with previous version 0.1.10 dated 2025-12-01

Title: Matrix Profile for R
Description: This is the core functions needed by the 'tsmp' package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Author: Francisco Bischoff [aut, cre] , Michael Yeh [res, ccp, ctb] , Diego Silva [res, ccp, ctb] , Yan Zhu [res, ccp, ctb] , Hoang Dau [res, ccp, ctb] , Michele Linardi [res, ccp, ctb]
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>

Diff between matrixprofiler versions 0.1.10 dated 2025-12-01 and 0.1.12 dated 2026-10-14

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 matrixprofiler-0.1.10/matrixprofiler/inst/API                                    |only
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 matrixprofiler-0.1.12/matrixprofiler/DESCRIPTION                                 |   19 
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 matrixprofiler-0.1.12/matrixprofiler/NAMESPACE                                   |    9 
 matrixprofiler-0.1.12/matrixprofiler/NEWS                                        |  350 +
 matrixprofiler-0.1.12/matrixprofiler/NEWS.md                                     |  302 +
 matrixprofiler-0.1.12/matrixprofiler/R/RcppExports.R                             |  192 
 matrixprofiler-0.1.12/matrixprofiler/R/contrast.R                                |   57 
 matrixprofiler-0.1.12/matrixprofiler/R/mass.R                                    |  158 
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 matrixprofiler-0.1.12/matrixprofiler/R/windowfunc.R                              |  342 -
 matrixprofiler-0.1.12/matrixprofiler/R/zzz.R                                     |    2 
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 matrixprofiler-0.1.12/matrixprofiler/src/Makevars                                |    9 
 matrixprofiler-0.1.12/matrixprofiler/src/Makevars.win                            |    4 
 matrixprofiler-0.1.12/matrixprofiler/src/RcppExports.cpp                         |  567 ++
 matrixprofiler-0.1.12/matrixprofiler/src/contrast.cpp                            |    5 
 matrixprofiler-0.1.12/matrixprofiler/src/contrast.h                              |    4 
 matrixprofiler-0.1.12/matrixprofiler/src/fft.cpp                                 |   12 
 matrixprofiler-0.1.12/matrixprofiler/src/mass.cpp                                |  450 +
 matrixprofiler-0.1.12/matrixprofiler/src/mass.h                                  |   58 
 matrixprofiler-0.1.12/matrixprofiler/src/mathtools.cpp                           |   10 
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 matrixprofiler-0.1.12/matrixprofiler/src/mpdist.h                                |only
 matrixprofiler-0.1.12/matrixprofiler/src/mpx.cpp                                 |  599 +-
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 matrixprofiler-0.1.12/matrixprofiler/src/scrimp.cpp                              |  705 ---
 matrixprofiler-0.1.12/matrixprofiler/src/scrimp.h                                |    6 
 matrixprofiler-0.1.12/matrixprofiler/src/stamp.cpp                               |  451 -
 matrixprofiler-0.1.12/matrixprofiler/src/stamp.h                                 |    2 
 matrixprofiler-0.1.12/matrixprofiler/src/stomp.cpp                               |  383 -
 matrixprofiler-0.1.12/matrixprofiler/src/stomp.h                                 |    4 
 matrixprofiler-0.1.12/matrixprofiler/src/windowfunc.cpp                          |  982 +++-
 matrixprofiler-0.1.12/matrixprofiler/src/windowfunc.h                            |   25 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat.R                            |   25 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-algorithms.R            |   51 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-contrast.R              |   22 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-mass.R                  |   30 
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 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-rfcp-branches.R         |only
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 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-scrimp.R                |   71 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-stamp.R                 |   48 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-stomp.R                 |  198 
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 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-windowfunc.R            |   57 
 matrixprofiler-0.1.12/matrixprofiler/tests/testthat/test-zero-crossing.R         |only
 94 files changed, 7352 insertions(+), 2910 deletions(-)

More information about matrixprofiler at CRAN
Permanent link


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