Wed, 05 Aug 2026

New package syncons with initial version 0.1.1
Package: syncons
Title: Efficient and Low-Cost Construction of Synthetic Communities
Version: 0.1.1
Description: Provides functions and a Shiny application to design plate layouts for constructing synthetic communities (SynComs) from a pool of strains using 24-, 96- and 384-well microplates. The method generates all possible strain combinations in a scalable, low-cost workflow suitable for high-throughput experiments. Reference: Tian et al. (2024) <doi:10.21769/BioProtoc.2405576>.
URL: https://github.com/gaospecial/syncons, https://doi.org/10.21769/BioProtoc.2405576, https://bio-spring.shinyapps.io/SynComsConstructor/
BugReports: https://github.com/gaospecial/syncons/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, DT, glue, purrr, shiny, stringr, tibble, tidyr, utils
NeedsCompilation: no
Packaged: 2026-07-28 00:22:32 UTC; gaoch
Author: Chun-Hui Gao [aut, cre]
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-08-05 17:30:02 UTC

More information about syncons at CRAN
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New package persuasio with initial version 0.1.0
Package: persuasio
Title: Causal Inference on Persuasion Effects
Version: 0.1.0
Description: Provides estimation and inference methods for causal persuasion rates in the potential-outcomes framework of Jun and Lee (2023, Journal of Political Economy) <doi:10.1086/724114>. The package computes bounds and confidence intervals for average and local persuasion rates under data scenarios with binary outcomes, treatments, and instruments, and also when only the outcome and instrument are observed. It also provides functions for calculating bounds from summary statistics.
License: GPL (>= 3)
URL: https://github.com/persuasio/persuasio-r, https://github.com/persuasio/persuasio-stata
BugReports: https://github.com/persuasio/persuasio-r/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-28 00:04:08 UTC; sokbaelee
Author: Xinrui Chen [aut], Sung Jae Jun [aut], Sokbae Lee [aut, cre]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2026-08-05 17:30:08 UTC

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New package lonelyr with initial version 0.1.0
Package: lonelyr
Title: Scoring for Common Loneliness Scales
Version: 0.1.0
Description: Scoring functions for widely used loneliness measures, with response keys and reverse-scoring drawn from the original scale manuals. Covers the UCLA Loneliness Scale Version 3 and its three-item short form, the de Jong Gierveld 11- and 6-item scales, the Children's Loneliness and Social Dissatisfaction Scale, and the short Social and Emotional Loneliness Scale for Adults. Out-of-range responses raise a warning, and missing-data rules follow each scale's manual.
License: CC0
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/nsbyrd/lonelyr
BugReports: https://github.com/nsbyrd/lonelyr/issues
NeedsCompilation: no
Packaged: 2026-07-27 23:44:51 UTC; NatalieByrd
Author: Natalie Byrd [aut, cre]
Maintainer: Natalie Byrd <nsb5522@psu.edu>
Repository: CRAN
Date/Publication: 2026-08-05 17:20:02 UTC

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New package actinet with initial version 0.2.0
Package: actinet
Title: Estimate Human Activity from 'Accelerometry' Data
Version: 0.2.0
Description: Interfaces the 'actinet' Python module <https://github.com/OxWearables/actinet> for an activity classification model based on self-supervised learning for wrist-worn accelerometer data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, curl, magrittr, readr, reticulate (>= 1.42.0)
Suggests: tidyr, dplyr, ggplot2, testthat (>= 3.0.0)
Language: en-US
URL: https://github.com/jhuwit/actinet
BugReports: https://github.com/jhuwit/actinet/issues
NeedsCompilation: no
Packaged: 2026-07-28 01:03:00 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 17:50:02 UTC

More information about actinet at CRAN
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Package writexl updated to version 2.0.0 with previous version 1.5.4 dated 2025-04-15

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter' <https://libxlsxwriter.github.io>. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut] , Bill Denney [aut, cre] , John McNamara [cph] )
Maintainer: Bill Denney <wdenney@humanpredictions.com>

Diff between writexl versions 1.5.4 dated 2025-04-15 and 2.0.0 dated 2026-08-05

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More information about writexl at CRAN
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Package minired (with last version 1.0.1) was removed from CRAN

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

2024-11-06 1.0.1
2024-10-25 1.0.0

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Package WebGestaltR updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-30

Title: Gene Set Analysis Toolkit WebGestaltR
Description: The web version WebGestalt <https://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.
Author: John Elizarraras [aut], Jing Wang [aut], Yuxing Liao [aut], Eric Jaehnig [ctb], Zhiao Shi [aut, cre], Quanhu Sheng [ctb]
Maintainer: Zhiao Shi <zhiao.shi@gmail.com>

Diff between WebGestaltR versions 1.0.0 dated 2026-07-30 and 1.0.1 dated 2026-08-05

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More information about WebGestaltR at CRAN
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Package biodosetools (with last version 3.7.2) was removed from CRAN

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

2025-12-16 3.7.2
2025-12-04 3.7.1.2
2025-10-22 3.7.1
2025-10-14 3.7
2025-10-10 3.6.2
2022-11-16 3.6.1
2022-01-27 3.6.0

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New package epibyhand with initial version 0.1.0
Package: epibyhand
Title: Worked Derivations for Classical Epidemiological Measures
Version: 0.1.0
Description: Computes classical epidemiological measures and returns the complete worked derivation alongside the result: every intermediate quantity, the formula, and the formula with the observed numbers substituted in. Intended for teaching, for checking hand calculations, and for generating worked solutions in course materials. Scope is deliberately limited to methods a student can compute by hand on paper. Methods follow Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>, Greenland and Robins (1985, Biometrics 41, 55-68), Robins, Breslow and Greenland (1986, Biometrics 42, 311-323), and Breslow and Day (1980, IARC Scientific Publications No. 32).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.0.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rajsubediresearch/epibyhand
BugReports: https://github.com/rajsubediresearch/epibyhand/issues
NeedsCompilation: no
Packaged: 2026-07-27 18:40:05 UTC; razsu
Author: Raj Subedi [aut, cre]
Maintainer: Raj Subedi <rajsubediresearch@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 10:10:02 UTC

More information about epibyhand at CRAN
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New package trialSizing with initial version 0.1.0
Package: trialSizing
Title: Tools for Experimental Design Sizing
Version: 0.1.0
Description: Sizes field experiments from uniformity-trial data, following the relationship between the coefficient of variation and plot size. Checks a trial for the spatial structure the sizing methods assume (semivariogram, Moran's I, kriged field map), summarises the coefficient of variation over every plot shape the grid admits, and estimates the optimal plot size by the modified maximum curvature method of Meier and Lessman (1971), by the linear response plateau (LRP) and quadratic response plateau (QRP) models, and by the closed form of Paranaiba, Ferreira and Morais (2009), which can be compared side by side. From the coefficient of variation at the optimum it derives the number of replications needed to detect a given difference between treatment means, as in Cargnelutti Filho and others (2014). Every method returns standardised diagnostic statistics, optional bootstrap uncertainty for the breakpoint, and publication-style plots.
License: GPL (>= 3)
URL: https://willyanjnr.github.io/trialSizing/, https://github.com/willyanjnr/trialSizing
BugReports: https://github.com/willyanjnr/trialSizing/issues
Encoding: UTF-8
Language: en
LazyData: true
Depends: R (>= 3.5)
Imports: ggplot2, stats, utils
Suggests: knitr, rmarkdown, patchwork, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-27 18:04:14 UTC; Bandeira
Author: Willyan Bandeira [aut, cre] , Leonardo Pradebon [aut] , Ivan Carvalho [aut] , Murilo Loro [aut]
Maintainer: Willyan Bandeira <bandeira.wjab@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:30:02 UTC

More information about trialSizing at CRAN
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Package specmine readmission to version 3.1.8 with previous version 3.1.6 dated 2021-09-21

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

This is a re-admission after prior archival of version 3.1.6 dated 2021-09-21

Diff between specmine versions 3.1.6 dated 2021-09-21 and 3.1.8 dated 2026-08-05

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More information about specmine at CRAN
Permanent link

Package RaCE.NMA updated to version 1.2.0 with previous version 1.1.0 dated 2026-07-29

Title: Rank-Clustered Estimation for Network Meta-Analysis
Description: An implementation of the RaCE-NMA (Rank-Clustered Estimation for Network Meta-Analysis) model for post-hoc clustering of treatments or interventions by rank in network meta-analysis data. Functions for model estimation, assessment, and displaying results are provided. For more details, see Pearce and Zhou (2025) <doi:10.1017/rsm.2025.10049>.
Author: Michael Pearce [aut, cre, cph] , Shouhao Zhou [aut]
Maintainer: Michael Pearce <michaelpearce@reed.edu>

Diff between RaCE.NMA versions 1.1.0 dated 2026-07-29 and 1.2.0 dated 2026-08-05

 DESCRIPTION                                    |    8 -
 MD5                                            |   87 +++++++++++---------
 NEWS.md                                        |    6 +
 R/calculate_Rhat.R                             |    4 
 R/calculate_SUCRA_MNBT.R                       |    8 +
 R/clusterplot_ranks.R                          |    4 
 R/cumulativeprobplot_ranks.R                   |    4 
 R/fit_raceNMA.R                                |   39 ++++++---
 R/forestplot_muhat.R                           |    4 
 R/make_logdmvnorm.R                            |only
 R/mcmc_raceNMA.R                               |   84 +++++++++++++++-----
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 R/toy_data.R                                   |    2 
 R/traceplot_K.R                                |    2 
 inst/doc/overview.Rmd                          |    2 
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 inst/doc/tutorial.R                            |    8 -
 inst/doc/tutorial.Rmd                          |   15 +--
 inst/doc/tutorial.html                         |  104 ++++++++++++-------------
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 vignettes/tutorial.Rmd                         |   15 +--
 47 files changed, 450 insertions(+), 195 deletions(-)

More information about RaCE.NMA at CRAN
Permanent link

New package predHCS with initial version 0.1.0
Package: predHCS
Title: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes
Version: 0.1.0
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements generalized statistical point prediction and prediction intervals for future failure times under various hybrid censoring schemes. Supported censoring schemes include Type-I, Type-II, Generalized Type-I, Generalized Type-II, Unified, Progressive Type-I, and Progressive Type-II hybrid censoring schemes. Available prediction methods include Best Unbiased Predictor (BUP), Conditional Median Predictor (CMP), Maximum Likelihood Predictor (MLP), equal-tailed classical prediction intervals, Highest Conditional Density (HCD) prediction intervals, and Bayesian prediction intervals. Algorithms accept user-defined continuous probability density functions, cumulative distribution functions, quantile functions, or survival functions along with estimated parameter values. Methodological foundations are based on Balakrishnan, Cramer, and Kundu (2023, ISBN:978-0123983879), Shafay and Balakrishnan (2012) <doi:10.1080/03610918.2011.579367> for Type-I hybrid censoring, Balakrishnan and S [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
ByteCompile: true
NeedsCompilation: no
Packaged: 2026-07-27 16:10:11 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Repository: CRAN
Date/Publication: 2026-08-05 09:20:09 UTC

More information about predHCS at CRAN
Permanent link

New package oddsapiio with initial version 0.1.1
Package: oddsapiio
Title: Client for the 'Odds-API.io' Sports Betting Odds API
Version: 0.1.1
Description: Query live and upcoming sports betting odds from the 'Odds-API.io' REST API <https://docs.odds-api.io>. Covers sports, bookmakers, leagues, events, per-event odds, value bets and arbitrage bets across 265+ bookmakers, returned as tidy data frames. An API key is required; a free tier is available.
License: MIT + file LICENSE
URL: https://odds-api.io, https://github.com/odds-api-io/odds-api-r
BugReports: https://github.com/odds-api-io/odds-api-r/issues
Encoding: UTF-8
Imports: httr2 (>= 1.0.0), jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 16:06:20 UTC; markusbjermeland
Author: Markus Bjermeland [aut, cre]
Maintainer: Markus Bjermeland <markus@odds-api.io>
Repository: CRAN
Date/Publication: 2026-08-05 09:20:13 UTC

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New package needenv with initial version 0.1.0
Package: needenv
Title: Validate Required Environment Variables with Defaults
Version: 0.1.0
Description: Validates that required environment variables are set and non-empty before environment-dependent code runs. Variables may have call-site defaults, and all unresolved variables are reported together. Successful values are returned as a named list without reading environment files or modifying the process environment.
URL: https://github.com/cole-brokamp/needenv
BugReports: https://github.com/cole-brokamp/needenv/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 17:42:38 UTC; cole
Author: Cole Brokamp [aut, cre]
Maintainer: Cole Brokamp <cole@colebrokamp.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:20:18 UTC

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Package corteza updated to version 0.7.1 with previous version 0.7.0 dated 2026-06-26

Title: AI Agent Runtime
Description: An agent runtime that gives Large Language Models (LLMs) from 'Anthropic' <https://www.anthropic.com/>, 'OpenAI' <https://openai.com/>, 'Moonshot' <https://www.moonshot.ai/>, and 'Ollama' <https://ollama.com/> direct access to a live R session with managed workspace state. Tools execute as R function calls with provenance tracking, and a deterministic retrieval system keeps relevant objects in context across turns. Three entry points: a shell command-line interface (CLI), a console read-eval-print-loop via chat(), and a Model Context Protocol (MCP) server via serve() for external clients.
Author: Troy Hernandez [aut, cre] , Grant McDermott [ctb] , Jorge Krzyzaniak [ctb], cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between corteza versions 0.7.0 dated 2026-06-26 and 0.7.1 dated 2026-08-05

 DESCRIPTION                        |   12 
 MD5                                |  139 +++---
 NEWS.md                            |  117 +++++
 R/agent_context.R                  |    1 
 R/archival-history-shim.R          |    1 
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 R/compact-turn.R                   |    1 
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 R/matrix_crypto.R                  |   20 
 R/mcp-handler.R                    |    1 
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 R/package-tools.R                  |    1 
 R/paths.R                          |    1 
 R/permissions.R                    |    1 
 R/plan-mode.R                      |    1 
 R/policy.R                         |    1 
 R/rate-limit.R                     |    1 
 R/registry.R                       |    1 
 R/render-md-ansi.R                 |    1 
 R/repl.R                           |    1 
 R/retrieval.R                      |    1 
 R/rstudio-addin.R                  |    1 
 R/schema.R                         |    1 
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 R/skill.R                          |    5 
 R/spend.R                          |    1 
 R/subagent.R                       |    1 
 R/tasks.R                          |    1 
 R/tool-buffer.R                    |    1 
 R/tool-impl.R                      |    5 
 R/tools.R                          |    1 
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 R/utils.R                          |    1 
 R/workspace.R                      |    1 
 build/partial.rdb                  |binary
 build/vignette.rds                 |binary
 inst/bin/corteza                   |   30 +
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 inst/doc/configuration.md          |   50 ++
 inst/tinytest/test_banner.R        |   27 -
 inst/tinytest/test_matrix.R        |  851 +++++++++++++++++++++++++++++++++++--
 inst/tinytest/test_session_setup.R |   75 +++
 inst/tinytest/test_turn.R          |   23 +
 inst/tinytest/test_web_search.R    |only
 man/chat.Rd                        |    7 
 man/matrix_configure.Rd            |   15 
 man/new_session.Rd                 |   17 
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 vignettes/configuration.md         |   50 ++
 71 files changed, 2225 insertions(+), 384 deletions(-)

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New package CLDedgelister with initial version 1.0.2
Package: CLDedgelister
Title: Import System-Dynamics Models and Convert Them to Edge Lists
Version: 1.0.2
Description: Imports causal and system-dynamics models from 'Vensim', 'Stella' / 'iThink' and 'Powersim Studio' ('XMILE'), 'AnyLogic' and 'GoldSim' (exported 'XML'), and converts them into a two-column edge list of cause-to-effect links. 'Vensim' models are read from their native diagram files; 'Powersim Studio' and 'GoldSim' are read from their exported 'XMILE' or 'XML'. Provides an 'RStudio' add-in with a simple point-and-click interface, together with command-line functions that return a data frame or write it to 'CSV' or 'Excel'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: xml2, tools, utils, stats
Suggests: shiny, miniUI, rstudioapi, writexl, DT, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 18:04:19 UTC; princ
Author: Taddias Prince Mpofu [aut, cre], Joel Runyu [aut]
Maintainer: Taddias Prince Mpofu <princetaddy@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:10:08 UTC

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New package BayesQRCount with initial version 0.1.0
Package: BayesQRCount
Title: Adaptive Bayesian Quantile Regression for Count Data
Version: 0.1.0
Description: Implements Bayesian quantile regression for count data using the jittering technique for discrete data smoothing and an asymmetric Laplace distribution likelihood. Supports adaptive variable selection via a random-bridge penalty with a beta prior on the power parameter, as well as fixed-bridge and Lasso penalties. Utilizes Markov chain Monte Carlo with Gibbs sampling and adaptive Metropolis-Hastings algorithms for posterior inference, provides Gelman-Rubin convergence diagnostics, and predicts conditional quantiles for count responses. Methodology and applications are based on the following key references: Luo, Zhou, Hu, and Li (2026, Journal of Mathematics, 2026:1543166, <doi:10.1155/jom/1543166>), Koenker and Bassett (1978, Econometrica, 46, 33-50, <doi:10.2307/1913643>), Machado and Santos Silva (2005, Journal of the American Statistical Association, 100, 1226-1237, <doi:10.1198/016214505000000330>), Yu and Moyeed (2001, Statistics and Probability Letters, 54, 437- [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-27 18:42:36 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 09:30:08 UTC

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New package psreplicate with initial version 0.1.0
Package: psreplicate
Title: Access the Political Science Replication Index from R
Version: 0.1.0
Description: Search and browse the Political Science Replication Index (<https://jsakowuah.github.io/polisci-replication/>), a searchable, tagged index of replication packages crawled monthly from flagship political science journals' Harvard Dataverse collections, without leaving R. Provides functions to download and cache the index locally and to search and filter it by journal, method, data type, and year.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, tibble, tools, utils
Suggests: dataverse, knitr, rmarkdown, testthat (>= 3.1.4)
VignetteBuilder: knitr
URL: https://github.com/jsakowuah/psreplicate, https://jsakowuah.github.io/polisci-replication/
BugReports: https://github.com/jsakowuah/psreplicate/issues
NeedsCompilation: no
Packaged: 2026-07-27 03:39:10 UTC; josep
Author: Joseph Akowuah [aut, cre, cph]
Maintainer: Joseph Akowuah <siawjoe@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:30:02 UTC

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Package neo2R updated to version 3.1.1 with previous version 3.0.0 dated 2026-05-18

Title: Neo4j to R
Description: The aim of neo2R is to provide simple and low level connectors for querying neo4j graph databases (<https://neo4j.com/>). The objects returned by the query functions are either lists or data.frames with very little post-processing. It allows fast processing of queries returning many records. And it let the users handle post-processing according to the data model and their needs.
Author: Patrice Godard [aut, cre, cph] , Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between neo2R versions 3.0.0 dated 2026-05-18 and 3.1.1 dated 2026-08-05

 DESCRIPTION        |    8 +--
 MD5                |   14 ++---
 R/cypher.R         |  125 ++++++++++++++++++++++++++++++++++++-----------------
 R/import_from_df.R |   29 +-----------
 R/startGraph.R     |   23 ++++++++-
 man/cypher.Rd      |    6 +-
 man/multicypher.Rd |    6 +-
 man/startGraph.Rd  |    6 ++
 8 files changed, 133 insertions(+), 84 deletions(-)

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Package moranajp readmission to version 0.9.8 with previous version 0.9.7 dated 2024-08-01

Title: Morphological Analysis for Japanese
Description: Supports morphological analysis for Japanese by using 'MeCab' <https://taku910.github.io/mecab/>, 'Sudachi' <https://github.com/WorksApplications/Sudachi>, 'Chamame' <https://chamame.ninjal.ac.jp/>, or 'Ginza' <https://github.com/megagonlabs/ginza>. Can input a data.frame and obtain all results of 'MeCab' and the row number of the original data.frame as a text id.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

This is a re-admission after prior archival of version 0.9.7 dated 2024-08-01

Diff between moranajp versions 0.9.7 dated 2024-08-01 and 0.9.8 dated 2026-08-05

 moranajp-0.9.7/moranajp/man/text_id_with_break.Rd      |only
 moranajp-0.9.8/moranajp/DESCRIPTION                    |   10 
 moranajp-0.9.8/moranajp/MD5                            |   42 +-
 moranajp-0.9.8/moranajp/NAMESPACE                      |    2 
 moranajp-0.9.8/moranajp/NEWS.md                        |   25 +
 moranajp-0.9.8/moranajp/R/clean_up.R                   |    5 
 moranajp-0.9.8/moranajp/R/make_group.R                 |   11 
 moranajp-0.9.8/moranajp/R/moranajp.R                   |  249 ++++++++++++++---
 moranajp-0.9.8/moranajp/R/utils_id.R                   |  121 ++------
 moranajp-0.9.8/moranajp/build/vignette.rds             |binary
 moranajp-0.9.8/moranajp/inst/doc/bigram.R              |   56 +--
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 moranajp-0.9.8/moranajp/man/moranajp_all.Rd            |   26 +
 moranajp-0.9.8/moranajp/man/remove_brk.Rd              |    2 
 moranajp-0.9.8/moranajp/man/web_chamame.Rd             |   90 ++++++
 moranajp-0.9.8/moranajp/tests/testthat/test-moranajp.R |   10 
 23 files changed, 496 insertions(+), 230 deletions(-)

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New package linf with initial version 0.1.0
Package: linf
Title: L-Infinity Normalization and Dominant Community State Types
Version: 0.1.0
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Description: Implements L-infinity normalization for compositional matrices, assigns samples to dominant features, constructs truncated and hierarchically refined dominant community state types, and computes representative landmark profiles. The methods are described in the accompanying publication <doi:10.48550/arXiv.2503.21543>. Bundled vaginal and gut microbiome data support reproducible demonstrations of the package interface; phenotype fields in the stratified gut subset are illustrative and are not suitable for population-level inference.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.0)
Imports: Matrix, methods
Suggests: testthat (>= 3.2.0), htmltools, knitr, plotly, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/pgajer/linf, https://arxiv.org/abs/2503.21543
BugReports: https://github.com/pgajer/linf/issues
NeedsCompilation: no
Packaged: 2026-07-26 21:51:49 UTC; pgajer
Repository: CRAN
Date/Publication: 2026-08-05 08:40:02 UTC

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Package ip2location updated to version 8.1.4 with previous version 8.1.3 dated 2023-05-02

Title: Lookup for IP Address Information
Description: Enables the user to find the country, region, district, city, coordinates, zip code, time zone, ISP, domain name, connection type, area code, weather, Mobile Country Codes (MCC), Mobile Network Code (MNC), mobile brand name, elevation, usage type, address type, IAB category and Autonomous system number (ASN) that any IP address or hostname originates from. Supported IPv4 and IPv6. Please visit <https://www.ip2location.com> to learn more. You may also want to visit <https://lite.ip2location.com> for free database download. This package requires 'IP2Location Python' module. At the terminal, please run 'pip install IP2Location' to install the module.
Author: Kai Wen Ooi [aut, cre], IP2Location [cph]
Maintainer: Kai Wen Ooi <support@ip2location.com>

Diff between ip2location versions 8.1.3 dated 2023-05-02 and 8.1.4 dated 2026-08-05

 DESCRIPTION     |   14 ++---
 LICENSE         |    4 -
 MD5             |   16 +++---
 NAMESPACE       |   22 ++++----
 R/IP2Location.R |   32 ++++++++----
 README.md       |  145 ++++++++++----------------------------------------------
 man/get_all.Rd  |   46 ++++++++---------
 man/open.Rd     |   40 +++++++--------
 man/plot_map.Rd |   40 +++++++--------
 9 files changed, 140 insertions(+), 219 deletions(-)

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Package invasible readmission to version 0.1.1 with previous version 0.1.0 dated 2026-07-21

Title: Predicting Invasion Probabilities from Phylogenetic Data and Species Traits
Description: A phylogenetic modelling approach for predicting species invasion risk, out of a given pool of local species where a subset is known to be invasive elsewhere. The package uses phylogenetic signal estimation and phylogenetic linear and logistic models to estimate probabilities of being invasive based on phylogeny and any set of additional predictors. A ranking method is implemented to evaluate prioritisation strategies. A manuscript describing these methods, by Shahar Dubiner and Tamar Guy-Haim, is in preparation.
Author: Shahar Dubiner [aut, cre]
Maintainer: Shahar Dubiner <dubiner@mail.tau.ac.il>

This is a re-admission after prior archival of version 0.1.0 dated 2026-07-21

Diff between invasible versions 0.1.0 dated 2026-07-21 and 0.1.1 dated 2026-08-05

 DESCRIPTION              |    6 +++---
 MD5                      |   10 +++++-----
 R/predict_invasible.R    |    8 +++++---
 R/prepare_invasible.R    |    2 +-
 man/predict_invasible.Rd |    8 +++++---
 man/prepare_invasible.Rd |    2 +-
 6 files changed, 20 insertions(+), 16 deletions(-)

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New package grip with initial version 0.1.2
Package: grip
Title: Graph Drawing with Intelligent Placement (GRIP)
Version: 0.1.2
Description: Implements the GRIP multiscale graph layout workflow for ordinary graphs and a geometry-aware weighted GRIP workflow for weighted graphs in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) <doi:10.7155/jgaa.00052> and Gajer, Goodrich and Kobourov (2004) <doi:10.1016/j.comgeo.2004.03.014>.
License: GPL (>= 3)
URL: https://pgajer.github.io/grip/, https://github.com/pgajer/grip
BugReports: https://github.com/pgajer/grip/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp
Suggests: bslib, DT, FNN, geometry, igraph, htmltools, htmlwidgets, knitr, later, rmarkdown, rgl, shiny, testthat (>= 3.0.0)
LinkingTo: Rcpp
SystemRequirements: C++17
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-26 23:10:55 UTC; pgajer
Author: Pawel Gajer [aut, cre]
Maintainer: Pawel Gajer <pgajer@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:20:16 UTC

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New package EWAScaller with initial version 0.1.0
Package: EWAScaller
Title: Query and Analyse the 'EWAS Atlas' Database
Version: 0.1.0
Description: Provides a client for the 'EWAS Atlas' web services (<https://ngdc.cncb.ac.cn/ewas/>; Li et al. (2019) <doi:10.1093/nar/gky1027>), allowing users to query epigenome-wide association study (EWAS) data by CpG (cytosine-phosphate-guanine) probe identifier, gene symbol, or genomic region, and to run trait, Gene Ontology, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway, and genomic location enrichment analyses on a set of CpG probes. Query functions support concurrent, rate-limited requests to the remote service. Results are returned as tidy data frames with dedicated summary and plotting methods, including word clouds of enriched 'EWAS Atlas' trait terms.
License: MIT + file LICENSE
URL: https://github.com/SAADAT-Abu/EWAScaller
BugReports: https://github.com/SAADAT-Abu/EWAScaller/issues
Depends: R (>= 4.1.0)
Imports: httr, jsonlite, digest, parallel, ggplot2, ggwordcloud, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-27 09:13:18 UTC; saadat
Author: Saadat Abu [aut, cre]
Maintainer: Saadat Abu <saadatabu1996@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:40:09 UTC

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Package dwg2geo updated to version 0.2.4 with previous version 0.2.3 dated 2026-08-04

Title: Convert Engineering 'DWG' Drawings to Auditable 'GeoJSON'
Description: Converts engineering 'DWG' drawings ('AutoCAD' 2013+ format) to 'GeoJSON' entirely in-process, with no 'CAD' software, 'LibreDWG', or 'GDAL' required. Wraps the pure-Rust 'dwg2geo' conversion core <https://github.com/milkway/dwg2geo>: every feature carries resolved 'CAD' style metadata (layer, colour, line weight, text), skipped and failed entities are reported with reasons, and the output is deterministic: the same bytes always produce byte-identical 'GeoJSON'. Coordinates are kept in the drawing's local system; the package never guesses a coordinate reference system.
Author: Andre Leite [aut, cre]
Maintainer: Andre Leite <leite@castlab.org>

Diff between dwg2geo versions 0.2.3 dated 2026-08-04 and 0.2.4 dated 2026-08-05

 DESCRIPTION            |    6 +++---
 MD5                    |   14 +++++++-------
 NEWS.md                |   10 ++++++++++
 src/Makevars           |    8 ++++++--
 src/Makevars.win       |    6 +++++-
 src/rust/Cargo.lock    |    4 ++--
 src/rust/src/lib.rs    |    4 +++-
 src/rust/vendor.tar.xz |binary
 8 files changed, 36 insertions(+), 16 deletions(-)

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New package bufferscape with initial version 1.0.3
Package: bufferscape
Title: Distance-Weighted Landscape Composition in Buffers Around Point Locations
Version: 1.0.3
Description: Characterises the environment surrounding point locations by computing land-cover composition within circular buffers directly from vector polygons, without conversion to a raster grid. For each site and each class it returns the exact surface area inside the buffer and a distance-decay weighted "effective" area in which the kernel is integrated over polygon geometry rather than evaluated at the polygon centroid, avoiding the large bias the centroid approximation introduces for elongated features passing close to the site. Polygons may overlap, so class areas are not constrained to sum to the buffer area. Intended for buffer-based exposure assessment and fine-scale spatial epidemiology, where the relevant scale is tens of metres and global land-cover products are too coarse: land-use regression around air-quality monitors, green space around residential addresses, vector-surveillance traps, and comparable designs. The classification dictionary is user-supplied, and point features and d [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: sf (>= 1.0.0), dplyr, tidyr, stringr, purrr, tibble, grDevices, stats, utils, tools
Suggests: ggplot2, writexl, readxl, terra, maptiles, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/mplanta-lab/bufferscape
BugReports: https://github.com/mplanta-lab/bufferscape/issues
NeedsCompilation: no
Packaged: 2026-07-26 19:13:30 UTC; root
Author: Michele Planta [aut, cre]
Maintainer: Michele Planta <micheleplanta@outlook.it>
Repository: CRAN
Date/Publication: 2026-08-05 08:10:02 UTC

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New package rpanelauto with initial version 1.0.0
Package: rpanelauto
Title: Perform Automatic Estimation on Time Series in Multidimensional Panels
Version: 1.0.0
Description: Provides a framework for automatic estimation of time-series models for univariate and multidimensional panel data. A user-supplied estimation function is applied independently to each time series, with optional processing before and after estimation. The function returns the transformed data together with the fitted models.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: forecast, testthat (>= 3.0.0)
URL: https://github.com/econcz/rpanelauto
BugReports: https://github.com/econcz/rpanelauto/issues
NeedsCompilation: no
Packaged: 2026-07-25 21:59:32 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-08-05 07:10:02 UTC

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New package orbis with initial version 0.1.0
Package: orbis
Title: Interactive and High-Resolution Layered Graphics with Built-in World Maps
Version: 0.1.0
Description: A layered grammar of graphics that compiles plots to a resolution-independent scene description and renders it through two back-ends: a self-contained SVG writer with embedded 'JavaScript' for interactive figures (tooltips, hover highlighting, zoom, pan and legend toggling) and R's own graphics devices for publication-quality output at any resolution. Geographic layers are first class: a simplified world polygon dataset ships with the package and can be drawn with several map projections, including Robinson, Equal Earth and an orthographic globe. The layered grammar follows Wickham (2010) <doi:10.1198/jcgs.2009.07098>; projections follow Snyder (1987) <doi:10.3133/pp1395> and, for Equal Earth, Savric, Patterson and Jenny (2019) <doi:10.1080/13658816.2018.1504949>; line simplification uses Douglas and Peucker (1973) <doi:10.3138/FM57-6770-U75U-7727>; the default colour scales follow the guidance on perceptually uniform palettes of Crameri, Shephard and Heron (202 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: grDevices, grid, stats, utils, htmltools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
URL: https://github.com/mqfarooqi1/orbis, https://mqfarooqi1.github.io/orbis/
BugReports: https://github.com/mqfarooqi1/orbis/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-26 11:26:22 UTC; faroo
Author: Muhammad Farooqi [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:40:02 UTC

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New package MYIS with initial version 0.1.0
Package: MYIS
Title: 'Moreau-Yosida' Importance Sampling for Statistical Inference
Version: 0.1.0
Description: Implements 'Moreau-Yosida' Markov chain Monte Carlo ('MCMC') importance sampling for parameter estimation and Bayesian inference under smooth, non-differentiable, or light-tailed target posterior distributions and arbitrary probability models with complete or censored data. Users supply user-defined probability density functions, optional distribution functions, parameter ranges, and observations subject to complete, right, left, interval, Type-I, Type-II, progressive Type-II, first-failure, or truncation schemes. Constructs 'Moreau-Yosida' envelopes, gradient-based proposals ('MALA', 'HMC', or 'RWM'), self-normalized importance weights, batch-means asymptotic variance estimates, and Bayesian marginal quantiles. Methodologies are based on 'Shukla', 'Vats', and 'Chi' (2025) <doi:10.48550/arXiv.2501.02228>, 'Pereyra' (2016) <doi:10.1111/sjos.12208>, 'Durmus' and others (2022) <doi:10.1214/22-EJS2027>, 'Chen' and 'Shao' (1999) <doi:10.1214/ss/1009211804>, 'Roberts' [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-26 18:27:22 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:50:12 UTC

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New package LugsailGR with initial version 0.1.0
Package: LugsailGR
Title: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC
Version: 0.1.0
Date: 2026-07-26
Description: Provides generalized univariate and multivariate 'Gelman-Rubin' convergence diagnostics, effective sample size ('ESS') estimates, and principled termination thresholds for Markov chain Monte Carlo ('MCMC') simulations, based on Vats and Knudson (2021) <doi:10.1214/20-STS812>. The package incorporates replicated lugsail batch means variance estimators to construct stable convergence statistics for single and multiple chains. Additionally, it offers comprehensive tools for evaluating 'MCMC' output generated from user-supplied probability density functions ('PDF') or log-likelihoods, including implementations for censored data models under right, left, interval, 'Type-I', 'Type-II', progressive, and hybrid censoring schemes.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-26 17:38:52 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:40:09 UTC

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New package liteformats with initial version 0.1.0
Package: liteformats
Title: Lightweight Output Formats for 'litedown'
Version: 0.1.0
Description: A collection of lightweight, minimalist output formats and templates for 'litedown' by Xie (2026) <doi:10.32614/CRAN.package.litedown>, including resumes, cover letters, and other common document types. Documents are rendered with HTML and CSS and can be printed to PDF with a 'Chromium'-based browser, without requiring 'Pandoc' or a 'LaTeX' installation.
License: MIT + file LICENSE
URL: https://nanx.me/liteformats/, https://github.com/nanxstats/liteformats
BugReports: https://github.com/nanxstats/liteformats/issues
Encoding: UTF-8
Imports: litedown (>= 0.10), xfun (>= 0.60)
Suggests: testit
VignetteBuilder: litedown
SystemRequirements: Chromium, Google Chrome, or Microsoft Edge (for PDF output)
NeedsCompilation: no
Packaged: 2026-07-26 07:48:52 UTC; nanx
Author: Nan Xiao [aut, cre, cph] , Yihui Xie [ctb, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2026-08-05 07:10:08 UTC

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New package glmbayesCore with initial version 0.5.3
Package: glmbayesCore
Title: Core C++ Sampling Engine for 'glmbayes'
Version: 0.5.3
Date: 2026-07-25
Description: Core C++ engine for 'glmbayes': envelope-based iid linear and generalized linear model samplers, prior-family routing, and optional 'OpenCL' acceleration. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. Intended as a developer backend for the 'glmbayes' formula interface; end users should use 'glmbayes' for modelling with interfaces analogous to 'lm' and 'glm'. Mixed-model engines are planned for a future release.
License: GPL-2
Copyright: see file COPYRIGHTS
URL: https://github.com/knygren/glmbayesCore
BugReports: https://github.com/knygren/glmbayesCore/issues
Imports: stats, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>= 0.11-0), opencltools (>= 0.8.1), nmathopencl
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, opencltools
Depends: MASS, R (>= 3.5.0)
Suggests: glmbayes, coda, bayesrules, bayestestR, LearnBayes, testthat (>= 3.0.0), spelling, knitr, rmarkdown
SystemRequirements: Optional OpenCL support. If available, GPU acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2026-07-26 01:55:21 UTC; kjell
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb] , The Khronos Group Inc [cph] )
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 07:30:02 UTC

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Package campsis updated to version 1.9.0 with previous version 1.8.2 dated 2026-03-19

Title: Generic PK/PD Simulation Platform Campsis
Description: A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on the R packages 'rxode2' and 'mrgsolve'. Campsis provides an abstraction layer over the underlying processes of defining a PK/PD model, assembling a custom dataset and running a simulation. The package has a strong dependency on the R package 'campsismod', which allows models to be read from and written to files, including through a JSON-based interface, and to be adapted further on the fly in the R environment. In addition, 'campsis' allows users to assemble datasets in an intuitive manner, including via a JSON-based interface to import Campsis datasets defined using formal JSON schemas distributed with the package. Once the dataset is ready, the package prepares the simulation, calls 'rxode2' or 'mrgsolve' (at the user's choice), and returns the results for the given model, dataset and desired simulation settings. The package itself is licensed under the GPL (>= 3); the JSON sc [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

Diff between campsis versions 1.8.2 dated 2026-03-19 and 1.9.0 dated 2026-08-05

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 campsis-1.9.0/campsis/DESCRIPTION                                                            |   33 
 campsis-1.9.0/campsis/MD5                                                                    |  894 +++----
 campsis-1.9.0/campsis/NAMESPACE                                                              |  107 
 campsis-1.9.0/campsis/NEWS.md                                                                |   19 
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 campsis-1.9.0/campsis/R/data.R                                                               |    1 
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 campsis-1.9.0/campsis/R/dataset_config.R                                                     |   69 
 campsis-1.9.0/campsis/R/dataset_summary.R                                                    |   32 
 campsis-1.9.0/campsis/R/declare_settings.R                                                   |   18 
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 campsis-1.9.0/campsis/R/dose_adaptation.R                                                    |   37 
 campsis-1.9.0/campsis/R/dose_adaptations.R                                                   |   11 
 campsis-1.9.0/campsis/R/event.R                                                              |   35 
 campsis-1.9.0/campsis/R/event_logic.R                                                        |   60 
 campsis-1.9.0/campsis/R/events.R                                                             |   26 
 campsis-1.9.0/campsis/R/generic.R                                                            |  249 +-
 campsis-1.9.0/campsis/R/global.R                                                             |    9 
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 campsis-1.9.0/campsis/R/internal_settings.R                                                  |   11 
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 campsis-1.9.0/campsis/R/nocb_settings.R                                                      |   25 
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 campsis-1.9.0/campsis/R/observations_set.R                                                   |   26 
 campsis-1.9.0/campsis/R/occasion.R                                                           |   27 
 campsis-1.9.0/campsis/R/occasions.R                                                          |   24 
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 campsis-1.9.0/campsis/R/scenarios.R                                                          |   38 
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 campsis-1.9.0/campsis/R/treatment.R                                                          |  175 -
 campsis-1.9.0/campsis/R/treatment_entry.R                                                    |  579 ++--
 campsis-1.9.0/campsis/R/treatment_iov.R                                                      |   28 
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New package APD with initial version 1.0.1
Package: APD
Title: Average Proportional Distance
Version: 1.0.1
Description: Estimation of average proportional distance for repeatability of responses in scales items, more other supplemental information.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
Imports: stats, boot, psych
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-26 18:12:29 UTC; C NINJA
Author: Cesar Merino-Soto [aut, cre]
Maintainer: Cesar Merino-Soto <sikayax@yahoo.com.ar>
Repository: CRAN
Date/Publication: 2026-08-05 07:50:17 UTC

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Package apache.sedona updated to version 1.9.1 with previous version 1.9.0 dated 2026-04-23

Title: R Interface for Apache Sedona
Description: R interface for 'Apache Sedona' based on 'sparklyr' (<https://sedona.apache.org>).
Author: Apache Sedona [aut, cre], Jia Yu [ctb, cph], Yitao Li [aut, cph] , The Apache Software Foundation [cph], RStudio [cph]
Maintainer: Apache Sedona <private@sedona.apache.org>

Diff between apache.sedona versions 1.9.0 dated 2026-04-23 and 1.9.1 dated 2026-08-05

 DESCRIPTION      |    6 +++---
 MD5              |    4 ++--
 R/dependencies.R |    4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package agecrypt with initial version 0.1.0
Package: agecrypt
Title: File Encryption with the 'age' Format
Version: 0.1.0
Description: An idiomatic R interface to the 'age' file encryption format (<https://age-encryption.org/v1>), backed by a vendored copy of the 'agec' C implementation (<https://git.sr.ht/~min/agec>). Encrypt and decrypt raw vectors, files, and strings for one or more X25519 recipients or with a passphrase, with optional ASCII armor. Cryptography is vendored and randomness is drawn from the operating system, so the package has no external library dependencies.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: askpass, openssl, testthat (>= 3.0.0), withr
URL: https://github.com/pedrobtz/agecrypt
BugReports: https://github.com/pedrobtz/agecrypt/issues
NeedsCompilation: yes
Packaged: 2026-07-26 20:34:55 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], agec authors [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 08:00:07 UTC

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New package StressCensoR with initial version 0.1.0
Package: StressCensoR
Title: Generalized Stress-Strength Reliability Estimation Under Censoring Schemes
Version: 0.1.0
Description: Generalized framework for data generation, Maximum Likelihood Estimation, and Bayesian estimation of stress-strength reliability R = P(Y < X) for arbitrary continuous distributions under censoring schemes based on Chapter 9 of 'Balakrishnan', 'Cramer', and 'Kundu' (2023) <ISBN:978-0-12-398387-9>. Users provide probability density functions, cumulative distribution functions, survival functions, support bounds, parameter ranges, and sample sizes. Implements data generation under Type-I, Type-II, progressive Type-II, Type-I hybrid, Type-II hybrid, generalized hybrid, progressive hybrid, joint, block random, middle, and truncation censoring schemes, accompanied by diagnostic histograms, dot plots, and autocorrelation plots. Maximum Likelihood Estimation supports optimization routines including 'Newton-Raphson', 'Broyden'-'Fletcher'-'Goldfarb'-'Shanno' ('BFGS'), 'BFGS' in R ('BFGSR'), 'Berndt'-'Hall'-'Hall'-'Hausman' ('BHHH'), Simulated Annealing ('SANN'), Conjugate Gradients ('CG [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
Imports: graphics, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-25 16:47:34 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:23 UTC

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New package SampleSizeR with initial version 0.1.0
Package: SampleSizeR
Title: Sample Size Calculations for Epidemiological, Clinical, and Diagnostic Studies
Version: 0.1.0
Description: Provides comprehensive methods for sample size determination for epidemiological studies, clinical trials, diagnostic accuracy studies, and diagnostic agreement studies. The package supports prevalence surveys, cluster prevalence studies, unmatched case-control studies, cohort studies, superiority, non-inferiority, and equivalence clinical trials, diagnostic sensitivity, diagnostic specificity, receiver operating characteristic (ROC) area under the curve (AUC), and diagnostic agreement studies. Functions include optional adjustments for finite population correction, design effect, unequal allocation, anticipated response rate, and dropout. Results are returned as standardized 'SampleSizeR' objects with print, summary, plot, and data frame methods.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/SampleSizeR
BugReports: https://github.com/vinodhpmd/SampleSizeR/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-25 16:22:33 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:20:03 UTC

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New package rmoriebricklayer with initial version 0.3.7
Package: rmoriebricklayer
Title: Reproducible Data Capsules with Provenance and Fallback
Version: 0.3.7
Description: Tools for building brick-proof, reproducible, self-contained data capsules. Resolves open-data sources through the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>) package_show and package_search endpoints, records and verifies provenance with Secure Hash Algorithm 256 ('SHA-256') digests and Internet Archive 'Wayback Machine' (<https://web.archive.org/>) snapshots, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable. Run records are captured in a manifest plus a plain-language summary so any result can be traced back to its inputs. Also ships a small compiled C core (fast summary statistics and a self-contained 'SHA-256') that sibling packages in the 'rmorie' ecosystem reach through 'LinkingTo' for a single, shared numeric and provenance-hashing backend.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: digest, jsonlite, stats, utils
Suggests: knitr, rmarkdown, stringi, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rootcoder007/rmorie-bricklayer
BugReports: https://github.com/rootcoder007/rmorie-bricklayer/issues
SystemRequirements: libcurl (deb: libcurl4-openssl-dev, rpm: libcurl-devel)
NeedsCompilation: yes
Packaged: 2026-07-25 20:33:01 UTC; rootcoder
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:02 UTC

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New package gmeans with initial version 0.1.0
Package: gmeans
Title: G-means Clustering
Version: 0.1.0
Description: Gaussian-means (G-means) clustering is a clustering algorithm that extends the k-means algorithm by automatically determining the number of clusters.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/gmeans/, https://github.com/m-muecke/gmeans
BugReports: https://github.com/m-muecke/gmeans/issues
Depends: R (>= 4.1.0)
Imports: stats
Suggests: clue, data.table (>= 1.15.0), GGally, ggfortify, ggplot2, knitr, mlr3cluster, mlr3misc, mlr3viz, paradox (>= 0.6.0), R6, rmarkdown, testthat (>= 3.3.0), withr (>= 2.4.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-25 17:58:44 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:40:08 UTC

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New package fracreg with initial version 1.0.1
Version: 1.0.1
Title: Fractional Response Regressions
Package: fracreg
License: GPL-3
Description: Provides routines for the estimation and specification analysis of fractional response models. Includes univariate one-part, two-part, and double-inflated three-part fractional models. Further incorporates estimators for panel data settings and addresses unobserved heterogeneity and endogeneity via correlated random effects and control function approaches. Extends fractional methodology to multivariate data via fractional multinomial logit models and handles high-dimensional multicollinear data via fractional ridge regression. Calculates analytical partial effects across all model types and includes generalised goodness-of-functional-form (GGOFF) and Regression Equation Specification Error Test (RESET) hypothesis tests. Methods are described in Papke and Wooldridge (1996) <doi:10.1002/(SICI)1099-1255(199611)11:6%3C619::AID-JAE418%3E3.0.CO;2-1>, Papke and Wooldridge (2008) <doi:10.1016/j.jeconom.2008.05.009>, Buis (2008) <http://maartenbuis.nl/software/likelihoodFmlogit.p [...truncated...]
Language: en-GB
Date: 2026-07-15
Packaged: 2026-07-25 17:03:01 UTC; macbookpro
NeedsCompilation: no
Repository: CRAN
URL: https://sulmanolieko.github.io/fracreg/
Imports: stats, maxLik, ggplot2, grid, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Author: Sulman Olieko Owili [aut, cre]
Maintainer: Sulman Olieko Owili <oliekosulman@gmail.com>
Depends: R (>= 3.5.0)
Date/Publication: 2026-08-05 06:40:15 UTC

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New package DendroFlux with initial version 1.0.3
Package: DendroFlux
Date: 2026-07-26
Title: Processing and Analyzing Dendrometer and Sap Flux Data
Version: 1.0.3
Author: Shuo Wen [aut, cre], Xiaoyan Shang [ctb], Wenjian Zhou [ctb], Zhongjie Shi [ths], Xiao Zhang [ths]
Maintainer: Shuo Wen <shuowen@caf.ac.cn>
Description: Data management and cleaning for dendrometer and sap flux data, including gap detection, NA identification, missing value interpolation, and date conversion. The package also calculates multiple growth metrics of tree radial change data, including the cumulative growth over the entire observation period, daily cumulative growth, and growth changes between adjacent time intervals. Various approaches can be applied to calculate the night delta-Tmax required for sap flow (Peters et al., 2018, <doi: 10.1111/nph.15241>) and subsequently estimate sap flow density (Granier, 1987, <doi: 10.1093/treephys/3.4.309>). In addition, it supports the creation of simple time‑series point plots to visually display the dynamic changes in tree growth status or sap flow density during that period.
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: readxl, ggplot2, zoo, forecast, rlang
NeedsCompilation: no
Packaged: 2026-07-26 03:38:11 UTC; shuow
Repository: CRAN
Date/Publication: 2026-08-05 06:50:02 UTC

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New package CompRiskRel with initial version 0.1.0
Package: CompRiskRel
Title: Reliability and Competing Risks Analysis under Hybrid Censoring
Version: 0.1.0
Description: Generalized computational algorithms for competing risks analysis, stress-strength reliability modeling, optimal designs, and reliability acceptance sampling plans under various hybrid censoring schemes. Includes data generation routines, Maximum Likelihood Estimation (MLE) with seven optimization algorithms ('Newton-Raphson', 'BFGS', 'BFGSR', 'BHHH', 'SANN', 'CG', and 'Nelder-Mead'), Bayesian inference via Gibbs sampling and Metropolis-Hastings MCMC, Importance Sampling, and 'Lindley' asymptotic approximation. Visualization functions generate histograms, dot plots, and autocorrelation plots for model validation. Methodology and design principles are based on 'Balakrishnan', 'Cramer', and 'Kundu' (2023, "Hybrid Censoring Know-How: Designs and Implementations", Academic Press, ISBN:978-0-12-398387-9).
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-25 17:29:46 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:11 UTC

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New package cmrdesign with initial version 0.1.0
Package: cmrdesign
Title: Conditional Minimax Regret Design Rules
Version: 0.1.0
Description: Implements Conditional Minimax Regret design rules for pilot-informed experimental assignment, as proposed in Yamin (2026) <doi:10.48550/arXiv.2607.16982>. Includes two-arm, unbounded two-arm, multi-arm, stratified, multiple-outcome, proxy-outcome, and pilot-planning tools. Variance bounds include Maurer and Pontil (2009) <doi:10.48550/arXiv.0907.3740> empirical-Bernstein bounds and exact Bernoulli confidence bounds.
License: MIT + file LICENSE
URL: https://juancyamin.github.io/cmrdesign/, https://github.com/juancyamin/cmrdesign, https://arxiv.org/abs/2607.16982
BugReports: https://github.com/juancyamin/cmrdesign/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: stats
Suggests: testthat (>= 3.0.0), jsonlite, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-25 17:10:27 UTC; juan
Author: Juan C. Yamin [aut, cre, cph]
Maintainer: Juan C. Yamin <juan_yamin_silva@brown.edu>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:02 UTC

More information about cmrdesign at CRAN
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Package btw updated to version 1.4.0 with previous version 1.3.0 dated 2026-07-02

Title: A Toolkit for Connecting R and Large Language Models
Description: A complete toolkit for connecting 'R' environments with Large Language Models (LLMs). Provides utilities for describing 'R' objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. Supports multiple workflows: interactive copy-paste to external chat interfaces, programmatic tool registration with 'ellmer' chat clients, batteries-included chat applications via 'shinychat', and exposure to external coding agents through the Model Context Protocol. Project configuration files enable stable, repeatable conversations with project-specific context and preferred LLM settings.
Author: Garrick Aden-Buie [aut, cre] , Simon Couch [aut] , Joe Cheng [aut], Posit Software, PBC [cph, fnd], Google [cph] , Microsoft [cph] , Jamie Perkins [cph]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

Diff between btw versions 1.3.0 dated 2026-07-02 and 1.4.0 dated 2026-08-05

 btw-1.3.0/btw/inst/js/run-r/btw-icons.js               |only
 btw-1.4.0/btw/DESCRIPTION                              |   44 -
 btw-1.4.0/btw/MD5                                      |  104 +--
 btw-1.4.0/btw/NEWS.md                                  |   22 
 btw-1.4.0/btw/R/btw-config.R                           |only
 btw-1.4.0/btw/R/btw_client.R                           |   24 
 btw-1.4.0/btw/R/btw_client_app.R                       |  160 +++--
 btw-1.4.0/btw/R/edit_btw_md.R                          |  159 ++++-
 btw-1.4.0/btw/R/mcp.R                                  |    2 
 btw-1.4.0/btw/R/task_create_btw_md.R                   |    2 
 btw-1.4.0/btw/R/tool-agent-custom.R                    |   19 
 btw-1.4.0/btw/R/tool-agent-subagent.R                  |    6 
 btw-1.4.0/btw/R/tool-docs-news.R                       |    2 
 btw-1.4.0/btw/R/tool-docs.R                            |    9 
 btw-1.4.0/btw/R/tool-env-df.R                          |    6 
 btw-1.4.0/btw/R/tool-files-edit.R                      |    4 
 btw-1.4.0/btw/R/tool-files-patch.R                     |    4 
 btw-1.4.0/btw/R/tool-files-read.R                      |   48 -
 btw-1.4.0/btw/R/tool-files-replace.R                   |    4 
 btw-1.4.0/btw/R/tool-files-search.R                    |   21 
 btw-1.4.0/btw/R/tool-files-write.R                     |    5 
 btw-1.4.0/btw/R/tool-git.R                             |    6 
 btw-1.4.0/btw/R/tool-pkg-src.R                         |only
 btw-1.4.0/btw/R/tool-run.R                             |   86 +-
 btw-1.4.0/btw/R/tool-skills.R                          |   38 +
 btw-1.4.0/btw/R/utils.R                                |  115 +++
 btw-1.4.0/btw/exec/btw.R                               |  281 +++++++++
 btw-1.4.0/btw/inst/cli-skill/r-btw-cli/SKILL.md        |   23 
 btw-1.4.0/btw/inst/js/app/btw_app.css                  |   41 -
 btw-1.4.0/btw/inst/js/app/btw_app.js                   |   71 +-
 btw-1.4.0/btw/inst/js/run-r/btw-run-r.css              |  508 +++++++++-------
 btw-1.4.0/btw/inst/js/run-r/btw-run-r.js               |  514 +++--------------
 btw-1.4.0/btw/man/btw-config.Rd                        |only
 btw-1.4.0/btw/man/btw_agent_tool.Rd                    |    6 
 btw-1.4.0/btw/man/btw_client.Rd                        |   72 ++
 btw-1.4.0/btw/man/btw_skill_install_github.Rd          |    3 
 btw-1.4.0/btw/man/btw_skill_install_package.Rd         |    3 
 btw-1.4.0/btw/man/btw_tool_skill.Rd                    |    3 
 btw-1.4.0/btw/man/mcp.Rd                               |    2 
 btw-1.4.0/btw/man/use_btw_md.Rd                        |   28 
 btw-1.4.0/btw/tests/testthat/_snaps/btw_client.md      |    4 
 btw-1.4.0/btw/tests/testthat/_snaps/edit_btw_md.md     |   83 ++
 btw-1.4.0/btw/tests/testthat/_snaps/tool-files-edit.md |   74 +-
 btw-1.4.0/btw/tests/testthat/_snaps/utils.md           |   12 
 btw-1.4.0/btw/tests/testthat/helpers.R                 |   16 
 btw-1.4.0/btw/tests/testthat/test-btw_client_app.R     |only
 btw-1.4.0/btw/tests/testthat/test-cli.R                |  149 ++++
 btw-1.4.0/btw/tests/testthat/test-edit_btw_md.R        |  190 ++++++
 btw-1.4.0/btw/tests/testthat/test-tool-agent-custom.R  |   38 +
 btw-1.4.0/btw/tests/testthat/test-tool-docs.R          |    3 
 btw-1.4.0/btw/tests/testthat/test-tool-files-read.R    |   34 +
 btw-1.4.0/btw/tests/testthat/test-tool-files-write.R   |    8 
 btw-1.4.0/btw/tests/testthat/test-tool-pkg-src.R       |only
 btw-1.4.0/btw/tests/testthat/test-tool-run.R           |   82 ++
 btw-1.4.0/btw/tests/testthat/test-tool_skills.R        |   82 ++
 btw-1.4.0/btw/tests/testthat/test-utils.R              |  187 ++++++
 56 files changed, 2413 insertions(+), 994 deletions(-)

More information about btw at CRAN
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New package BorderEffect with initial version 0.1.0
Package: BorderEffect
Title: Detection of Edge Effects in Field Trials via Besag-Kempton Competition
Version: 0.1.0
Description: Estimates and evaluates the intraspecific competition coefficient associated with the edge (border) effect in agricultural field trials, using the Besag-Kempton autoregressive model and a least-squares estimator following Darghan, Rivera, Gonzalez and Castellanos (2022) <doi:10.47280/RevFacAgron(LUZ).v39.n1.18>. Provides field-layout generation, spatial weight matrices, a formula interface for arbitrary two-way designs, a simulation-based decision procedure for presence or absence of the edge effect, Moran's I diagnostics, and a 'shiny' application.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices
Suggests: shiny, ape, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-25 20:28:53 UTC; serch
Author: Sergio Gamboa [aut, cre, cph] , Aquiles Enrique Darghan Contreras [aut, cph] , Carlos Armando Rivera Moreno [aut, cph] , Nair Jose Gonzalez Sotomayor [aut, cph] , Jose Luis Castellanos Coronel [aut, cph]
Maintainer: Sergio Gamboa <segamboam@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-05 06:30:16 UTC

More information about BorderEffect at CRAN
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Package clustGLMM (with last version 1.0) was removed from CRAN

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

2026-07-22 1.0

Permanent link
Package palr updated to version 0.5.0 with previous version 0.4.0 dated 2023-11-06

Title: Colour Palettes for Data
Description: Colour palettes for data, based on some well known public data sets. Includes helper functions to map absolute values to known palettes, and capture the work of image colour mapping as raster data sets.
Author: Michael D. Sumner [aut, cre, cph], Abigael Proctor [ctb] , Tomas Remenyi [ctb] , R Core Team and contributors worldwide [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between palr versions 0.4.0 dated 2023-11-06 and 0.5.0 dated 2026-08-05

 palr-0.4.0/palr/R/element_pal.R                 |only
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 palr-0.5.0/palr/DESCRIPTION                     |   19 -
 palr-0.5.0/palr/MD5                             |   61 ++-
 palr-0.5.0/palr/NAMESPACE                       |    8 
 palr-0.5.0/palr/NEWS.md                         |   37 ++
 palr-0.5.0/palr/R/bathy.R                       |   20 -
 palr-0.5.0/palr/R/data_pal.R                    |   10 
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 palr-0.5.0/palr/R/palr.R                        |  376 ++++++------------------
 palr-0.5.0/palr/R/stretch.R                     |only
 palr-0.5.0/palr/R/utils.R                       |    2 
 palr-0.5.0/palr/README.md                       |    4 
 palr-0.5.0/palr/build/vignette.rds              |binary
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 palr-0.5.0/palr/man/bathy_deep_pal.Rd           |    2 
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 palr-0.5.0/palr/man/oisst.Rd                    |    9 
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 palr-0.5.0/palr/tests/testthat/test-stretch.R   |only
 palr-0.5.0/palr/vignettes/nasa_chla.Rmd         |    2 
 38 files changed, 335 insertions(+), 422 deletions(-)

More information about palr at CRAN
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