Thu, 15 Oct 2026

New package netmatchRI with initial version 0.1.0
Package: netmatchRI
Title: Network-Constrained Matching and Randomization-Based Inference
Version: 0.1.0
Author: Zhejia Dong [aut, cre]
Maintainer: Zhejia Dong <zhejia_dong@brown.edu>
Description: Provides network-constrained matching and randomization-based inference for observational network data with dependence and interference. Dual-penalty matching minimizes total covariate dissimilarity while enforcing penalties on network proximity between and within treatment arms in matched sets. Randomization-based inference combines evidence from correlated matched sets based on this design. The package also provides covariate-balance and network-distance diagnostics, sensitivity analysis, and simulated example data. The open-source 'HiGHS' solver is used by default to solve the matching problem. An optional interface to the commercial 'Gurobi Optimizer' is available. Eligible academic users can request a free license at <https://www.gurobi.com/academics/>. The optimizer can be downloaded from <https://www.gurobi.com/product/download-center>. The associated 'gurobi' R package is not available from CRAN; it is distributed with the optimizer and can be installed by following [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/zhejiadong/netmatchRI
BugReports: https://github.com/zhejiadong/netmatchRI/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, graphics, highs, igraph, Matrix, mvtnorm, optmatch, Rglpk, slam, stats, utils
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.2.0)
Enhances: gurobi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-03 02:45:18 UTC; zhejia
Repository: CRAN
Date/Publication: 2026-10-15 10:20:02 UTC

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Package FeNEU updated to version 3.0.3 with previous version 3.0.2 dated 2026-09-09

Title: Routines for Evaluating Forest Inventory Data
Description: Provides a collection of routines for evaluating data from larger forest management units, typically sample inventories, but also stand-wise inventories. The idea is to support modern forest planning approaches and to be open by design to new data sources and evaluation methods. For the methodological background of forest inventories see Kangas and Maltamo (2006) "Forest Inventory: Methodology and Applications" <doi:10.1007/1-4020-4381-3>.
Author: Peter Biber [aut, cre] , Astor Torano Caicoya [aut]
Maintainer: Peter Biber <peter.biber@lwf.bayern.de>

Diff between FeNEU versions 3.0.2 dated 2026-09-09 and 3.0.3 dated 2026-10-15

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 R/convert_and_plausis.R                                   |   14 
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Package semPower updated to version 2.2.0 with previous version 2.1.3 dated 2025-08-22

Title: Power Analyses for SEM
Description: Provides a-priori, post-hoc, and compromise power-analyses for structural equation models (SEM).
Author: Morten Moshagen [aut, cre] , Martina Bader [aut]
Maintainer: Morten Moshagen <morten.moshagen@uni-ulm.de>

Diff between semPower versions 2.1.3 dated 2025-08-22 and 2.2.0 dated 2026-10-15

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New package RTrino with initial version 0.1.0
Package: RTrino
Title: 'DBI' Backend for 'Trino'
Version: 0.1.0
Description: A 'DBI' compliant backend for 'Trino' <https://trino.io>, the distributed SQL query engine (successor of 'PrestoSQL'). Connects to a 'Trino' cluster over its HTTP REST API, executes queries with automatic pagination, maps 'Trino' types to R types, and integrates with 'dplyr' through 'dbplyr' SQL dialects. Supports basic, JSON Web Token (JWT) bearer and OAuth2 client credentials authentication, as well as custom certificate authorities.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: bit64, DBI (>= 1.2.0), httr2 (>= 1.0.0), jsonlite, methods, rlang, tibble, utils
Suggests: dbplyr (>= 2.6.0), dplyr, knitr, rmarkdown, testthat (>= 3.0.0), webfakes, withr
URL: https://angelcasasbl.github.io/RTrino/, https://github.com/AngelCasasbl/RTrino
BugReports: https://github.com/AngelCasasbl/RTrino/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 20:50:39 UTC; Sabbag Radiologos
Author: Luis A Casas Ballestas [aut, cre, cph]
Maintainer: Luis A Casas Ballestas <luisangelcasasbl@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 10:00:02 UTC

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Package multiplex updated to version 4.2 with previous version 4.0 dated 2026-07-30

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are provided with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' supports the creation and analysis of multiplex, multimode, and multilevel network data in various formats. It combines methods based on partially ordered semigroups, decomposition procedures, semiring structures, and relational bundles for multivariate network analysis. It also provides an algebraic approach to affiliation networks using Galois derivations, with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multiplex versions 4.0 dated 2026-07-30 and 4.2 dated 2026-10-15

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New package ggcolonviz with initial version 0.0.6
Package: ggcolonviz
Title: A 'ggplot2' Extension for Visualizing the Colon
Version: 0.0.6
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0), sqlite3
Description: Provides a 'ggplot2' extension for creating clear, customizable visualizations of the colon. Includes geometry and label layers for plotting colon anatomy and overlaying related data, along with helpers for converting colon segments to 'sf' polygons and generating heatmap grids across the colon geometry.
License: Apache License (>= 2)
Copyright: file inst/NOTICE
Encoding: UTF-8
URL: https://github.com/Sanofi-Public/ggcolonviz
BugReports: https://github.com/Sanofi-Public/ggcolonviz/issues
Depends: R (>= 4.2.0)
Imports: ggplot2, sf, dplyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-02 19:52:42 UTC; u1037187
Author: Yoni Sidi [aut, cre], Sanofi [cph]
Maintainer: Yoni Sidi <yoni.sidi@sanofi.com>
Repository: CRAN
Date/Publication: 2026-10-15 09:40:10 UTC

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New package censusindia with initial version 0.2.0
Package: censusindia
Title: Census of India Data, 1901-2011, with Boundaries and Projections
Version: 0.2.0
Description: Tables from every decennial Census of India from 1901 to 2011: population time series, Primary Census Abstracts at state, district and sub-district level, mother tongue tables, and Scheduled Caste and Scheduled Tribe populations, together with Ministry of Health and Family Welfare population projections to 2036. Historical series are drawn from Jolad and Singh (2026) <doi:10.7910/DVN/ON8CP8>. Census variables can be returned with state or district boundaries of the matching census year attached for mapping. Boundary files and the largest village-level tables are downloaded on first use and cached locally.
License: MIT + file LICENSE
Copyright: See file COPYRIGHTS for the data included in and downloaded by this package.
URL: https://censusindia.saketlab.org/, https://github.com/saketlab/censusindia
BugReports: https://github.com/saketlab/censusindia/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, rlang (>= 1.0.0), sf, stats, stringr, tibble, tools, utils
Suggests: curl, ggplot2, patchwork, s2, scales, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-10-02 20:08:09 UTC; mcclintock
Author: Saket Choudhary [aut, cre, cph]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-15 09:40:15 UTC

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Package togglr updated to version 1.0.0 with previous version 0.2.1 dated 2024-02-19

Title: Client for the 'Toggl Track' API
Description: Read and write time entries, projects and clients of the 'Toggl Track' time tracker <https://toggl.com> from R, and download its reports. Reads never return silently truncated or empty results: HTTP errors are raised, the hourly quota and rate limits are respected, and paginated reports are checked for completeness.
Author: Vincent Guyader [aut, cre], ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between togglr versions 0.2.1 dated 2024-02-19 and 1.0.0 dated 2026-10-15

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Package maptiles updated to version 0.13.0 with previous version 0.12.0 dated 2026-07-23

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb], Miles McBain [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between maptiles versions 0.12.0 dated 2026-07-23 and 0.13.0 dated 2026-10-15

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Package rbmi updated to version 1.7.0 with previous version 1.6.1 dated 2026-07-22

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre] , Craig Gower-Page [aut], Isaac Gravestock [aut] , Alessandro Noci [aut], Marcel Wolbers [aut] , Daniel Sabanes Bove [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

Diff between rbmi versions 1.6.1 dated 2026-07-22 and 1.7.0 dated 2026-10-15

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Package PhytoIn readmission to version 0.2.1 with previous version 0.2.0 dated 2025-10-01

Title: Vegetation Analysis and Forest Inventory
Description: Provides functions and example datasets for phytosociological analysis, forest inventory, biomass and carbon estimation, and visualization of vegetation data. Includes functions to compute structural parameters [phytoparam(), summary.param(), stats()], estimate above-ground biomass and carbon [AGB()], stratify wood volume by diameter at breast height (DBH) classes [stratvol()], generate collector and rarefaction curves [collector.curve(), rarefaction()], and visualize basal areas on quadrat maps [BAplot(), including rectangular plots and individual coordinates]. Several example datasets are provided to demonstrate the functionality of these tools. For more details see FAO (1981, ISBN:92-5-101132-X) "Manual of forest inventory", IBGE (2012, ISBN:9788524042720) "Manual técnico da vegetação brasileira" and Heringer et al. (2020) "Phytosociology in R: A routine to estimate phytosociological parameters" <doi:10.22533/at.ed.3552009033>.
Author: Rodrigo Augusto Santinelo Pereira [aut, cre]
Maintainer: Rodrigo Augusto Santinelo Pereira <raspereira@usp.br>

This is a re-admission after prior archival of version 0.2.0 dated 2025-10-01

Diff between PhytoIn versions 0.2.0 dated 2025-10-01 and 0.2.1 dated 2026-10-15

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Package DNNSIM updated to version 0.2.1 with previous version 0.1.1 dated 2025-01-07

Title: Single-Index Neural Network for Skewed Heavy-Tailed Data
Description: Provides a deep neural network model with a monotonic increasing single index function tailored for periodontal disease studies. The residuals are assumed to follow a skewed T distribution, a skewed normal distribution, or a normal distribution. More details can be found at Liu, Wang, Bai and Bandyopadhyay (2026) <doi:10.1093/biostatistics/kxag040>.
Author: Qingyang Liu [aut, cre] , Shijie Wang [aut], Ray Bai [aut] , Dipankar Bandyopadhyay [aut]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>

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Package gt updated to version 1.4.0 with previous version 1.3.0 dated 2026-01-22

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Shannon Haughton [aut], Ellis Hughes [aut] , Alexandra Lauer [aut] , Romain Francois [aut], JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, [...truncated...]
Maintainer: Richard Iannone <rich@posit.co>

Diff between gt versions 1.3.0 dated 2026-01-22 and 1.4.0 dated 2026-10-15

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Package ecr updated to version 2.1.1.1 with previous version 2.1.1 dated 2023-03-08

Title: Evolutionary Computation in R
Description: Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Author: Jakob Bossek [aut, cre, cph], Michael H. Buselli [ctb, cph], Wessel Dankers [ctb, cph], Carlos M. Fonseca [ctb, cph], Manuel Lopez-Ibanez [ctb, cph], Luis Paquete [ctb, cph], Joshua Knowles [ctb, cph], Eckart Zitzler [ctb, cph], Olaf Mersmann [ctb]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

Diff between ecr versions 2.1.1 dated 2023-03-08 and 2.1.1.1 dated 2026-10-15

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Package conformalForecast updated to version 0.2.0 with previous version 0.1.1 dated 2026-01-15

Title: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting
Description: Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.
Author: Xiaoqian Wang [aut, cre, cph] , Rob Hyndman [aut] , Daniele Girolimetto [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>

Diff between conformalForecast versions 0.1.1 dated 2026-01-15 and 0.2.0 dated 2026-10-15

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Package approxOT updated to version 1.3 with previous version 1.2 dated 2025-01-09

Title: Approximate and Exact Optimal Transport Methods
Description: R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.
Author: Eric Dunipace [aut, cre] , Andrew Johnson [ctb] , Espen Bernton [ctb] , Mathieu Gerber [ctb] , Pierre Jacob [ctb] , Dominic Schuhmacher [ctb] , Nicolas Bonneel [ctb]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package mcmcderive (with last version 0.1.2) was removed from CRAN

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

2021-08-06 0.1.2
2021-02-11 0.1.1
2020-07-16 0.1.0
2019-07-02 0.0.1

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