Thu, 08 Oct 2026

New package xlamisc with initial version 0.5.1
Package: xlamisc
Title: Helper Functions for 'r-xla'
Version: 0.5.1
Description: Frequently used generics and helper functions used in 'anvl' and its companion packages 'stablehlo' and 'pjrt'. Comes with S3 generics to query arrays (shape, data type, device) and to convert them to R arrays and raw vectors, as well as a class for data types.
License: MIT + file LICENSE
URL: https://r-xla.github.io/xlamisc/, https://github.com/r-xla/xlamisc
BugReports: https://github.com/r-xla/xlamisc/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: checkmate, cli, rlang, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-29 15:42:53 UTC; sebi
Author: Sebastian Fischer [aut, cre] , Daniel Falbel [aut]
Maintainer: Sebastian Fischer <seb.fischer@tutamail.com>
Repository: CRAN
Date/Publication: 2026-10-08 18:30:02 UTC

More information about xlamisc at CRAN
Permanent link

Package tidylearn updated to version 0.6.0 with previous version 0.5.0 dated 2026-09-02

Title: A Unified Tidy Interface to R's Machine Learning Ecosystem
Description: Provides a unified tidyverse-compatible interface to R's machine learning ecosystem - from data ingestion to model publishing. The tl_read() family reads data from files ('CSV', 'Excel', 'Parquet', 'JSON'), databases ('SQLite', 'PostgreSQL', 'MySQL', 'BigQuery'), and cloud sources ('S3', 'GitHub', 'Kaggle'). The tl_model() function wraps established implementations from 'glmnet', 'randomForest', 'xgboost', 'e1071', 'rpart', 'gbm', 'nnet', 'cluster', 'dbscan', and others with consistent function signatures and tidy tibble output. Results flow into unified 'ggplot2'-based visualization and optional formatted 'gt' tables via the tl_table() family. The underlying algorithms are unchanged; 'tidylearn' simply makes them easier to use together. Access raw model objects via the $fit slot for a supervised method, or $fit$model for an unsupervised one. Methods include random forests Breiman (2001) <doi:10.1023/A:1010933404324>, LASSO regression Tibshirani (1996) <doi:10.1111/j.2517-6161 [...truncated...]
Author: Cesaire Tobias [aut, cre]
Maintainer: Cesaire Tobias <cesaire@sheetsolved.com>

Diff between tidylearn versions 0.5.0 dated 2026-09-02 and 0.6.0 dated 2026-10-08

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 NAMESPACE                                 |    2 
 NEWS.md                                   | 5235 ++++++++++++++++++++++--------
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 README.md                                 |   28 
 inst/doc/automl.R                         |   24 
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 inst/doc/unsupervised-learning.R          |    8 
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 man/tidy_dist.Rd                          |    3 
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 man/tidy_hclust.Rd                        |    4 
 man/tidy_kmeans.Rd                        |    1 
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 man/tidy_pam.Rd                           |   16 
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 man/tidy_silhouette.Rd                    |    5 
 man/tidylearn-coefficients.Rd             |only
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 man/tl_auto_interactions.Rd               |   12 
 man/tl_auto_ml.Rd                         |   77 
 man/tl_calc_classification_metrics.Rd     |   66 
 man/tl_calculate_pr_auc.Rd                |   13 
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 man/tl_check_gpu.Rd                       |   16 
 man/tl_cloud_allow_host.Rd                |    9 
 man/tl_coefficients.Rd                    |only
 man/tl_compare_cv.Rd                      |   39 
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 man/tl_model.Rd                           |   99 
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 man/tl_plot_xgboost_shap_dependence.Rd    |    7 
 man/tl_plot_xgboost_shap_summary.Rd       |    6 
 man/tl_plot_xgboost_tree.Rd               |    9 
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 man/tl_read.Rd                            |   52 
 man/tl_read_bigquery.Rd                   |   25 
 man/tl_read_csv.Rd                        |    7 
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 man/tl_read_excel.Rd                      |   11 
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 man/tl_read_postgres.Rd                   |   31 
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 man/tl_read_s3.Rd                         |   26 
 man/tl_read_sqlite.Rd                     |   12 
 man/tl_read_tsv.Rd                        |    7 
 man/tl_read_zip.Rd                        |   38 
 man/tl_reduce_dimensions.Rd               |   13 
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 tests/testthat/test-cloud-cost.R          |   72 
 tests/testthat/test-cloud-guards.R        |   46 
 tests/testthat/test-coefficients.R        |only
 tests/testthat/test-compute-advisor.R     |  146 
 tests/testthat/test-compute-detection.R   |  129 
 tests/testthat/test-compute-routing.R     |   27 
 tests/testthat/test-core.R                |  883 +++++
 tests/testthat/test-degenerate-specs.R    |    8 
 tests/testthat/test-diagnostics.R         |  220 +
 tests/testthat/test-examples.R            |   68 
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 tests/testthat/test-interactions.R        |only
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 tests/testthat/test-metrics-correctness.R |  540 ++-
 tests/testthat/test-metrics.R             |  379 ++
 tests/testthat/test-pipeline.R            |  501 ++
 tests/testthat/test-predict-contract.R    |  206 +
 tests/testthat/test-preprocessing.R       |  437 ++
 tests/testthat/test-read.R                | 1332 +++++++
 tests/testthat/test-supervised-backends.R |only
 tests/testthat/test-supervised-predict.R  |    2 
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 tests/testthat/test-tuning.R              | 1650 +++++++++
 tests/testthat/test-unsupervised.R        | 1434 ++++++++
 tests/testthat/test-visualization.R       |  884 +++++
 tests/testthat/test-workflows.R           |  289 +
 vignettes/automl.Rmd                      |   71 
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 vignettes/market-basket.Rmd               |   50 
 vignettes/reporting.Rmd                   |   50 
 vignettes/supervised-learning.Rmd         |   22 
 vignettes/tuning-and-pipelines.Rmd        |   17 
 vignettes/unsupervised-learning.Rmd       |   22 
 242 files changed, 34190 insertions(+), 8997 deletions(-)

More information about tidylearn at CRAN
Permanent link

Package rdborrow updated to version 0.0.5.0 with previous version 0.0.4.2 dated 2026-10-01

Title: External Control Borrowing for Rare Disease Trials
Description: Implements causal inference methods for incorporating external control data into randomized controlled trials (RCTs) with longitudinal outcomes. Provides an analysis module supporting weighting-based methods such as inverse probability weighting (IPW) and augmented inverse probability weighting (AIPW), difference-in-differences (DID), and synthetic control approaches for borrowing external control information, as well as a simulation module for generating trial and external control data, evaluating estimator performance via Monte Carlo studies, and conducting power analyses for sample size determination. Methods are based on Zhou et al. (2025) <doi:10.1093/jrsssa/qnae075> and Zhou et al. (2024) <doi:10.1080/10543406.2024.2330209>.
Author: Lei Shi [aut], Matt Secrest [cre, aut] , Herbert Pang [aut], Chen Chen [aut], Jiawen Zhu [aut], Genentech, Inc. [cph]
Maintainer: Matt Secrest <secrmatt@gmail.com>

Diff between rdborrow versions 0.0.4.2 dated 2026-10-01 and 0.0.5.0 dated 2026-10-08

 DESCRIPTION                                       |   15 -
 MD5                                               |  152 ++++++------
 NAMESPACE                                         |    4 
 NEWS.md                                           |   42 +++
 R/analysis_OLE_class.R                            |   30 +-
 R/analysis_class.R                                |   27 +-
 R/analysis_primary_class.R                        |   25 +
 R/data.R                                          |   41 +++
 R/did_ec_aipw.R                                   |   64 ++++-
 R/did_ec_ipw.R                                    |   43 ++-
 R/did_ec_or.R                                     |   70 ++++-
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 R/simulate_outcome_from_model.R                   |    1 
 R/simulate_trial.R                                |    2 
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 README.md                                         |    4 
 data/SyntheticDataII.rda                          |only
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 83 files changed, 2160 insertions(+), 484 deletions(-)

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New package proxymix with initial version 0.16.0
Package: proxymix
Title: Kullback-Leibler Optimal Gaussian Mixture Proxies for Target Densities
Version: 0.16.0
Description: Fits multivariate Gaussian-mixture proxies that are Kullback-Leibler optimal to user-supplied target densities on real Euclidean space. Three fitting regimes are unified under one verb: (i) closed-form moment matching for a single component, (ii) classical expectation-maximisation when independent samples are available, and (iii) importance-sampled expectation-maximisation that minimises the Kullback-Leibler divergence when the target can be evaluated point-wise but not (cheaply) sampled. Closed-form Gaussian-mixture operators (density, sampling, marginalisation, conditioning, divergence) round out the toolkit. The conditioning operator drives multiple imputation of data missing at random, covering the multimodal and heteroscedastic cases a single-Gaussian model cannot represent. Implements the regime hierarchy of van der Hoek and Elliott (2024) <doi:10.1080/07362994.2024.2372605>.
License: MIT + file LICENSE
URL: https://github.com/max578/proxymix, https://max578.github.io/proxymix/
BugReports: https://github.com/max578/proxymix/issues
Encoding: UTF-8
Language: en-AU
Depends: R (>= 4.3)
Imports: S7, stats, mvnfast, cli, rlang, data.table, withr
Suggests: mclust, mice, generics, ggplot2, viridis, patchwork, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, spelling, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-29 21:00:43 UTC; a1222812
Author: Max Moldovan [aut, cre] , John van der Hoek [aut]
Maintainer: Max Moldovan <max.moldovan@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 18:30:14 UTC

More information about proxymix at CRAN
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New package PairedRand with initial version 0.1.0
Package: PairedRand
Title: Paired Randomization Functions
Version: 0.1.0
Description: Provides tools for generating simulated study data, creating matched participant pairs using optimal nonbipartite matching, randomizing participants within pairs into study groups, and assessing post-randomization balance using descriptive summary statistics and standardized mean differences. The matching methodology is based on Lu et al. (2011) <doi:10.1198/tast.2011.08294>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gtsummary, magrittr, nbpMatching, tidyr, tidyselect
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-29 21:33:36 UTC; BimaliMilan
Author: Milan Bimali [aut, cre], Kamal Joshi [aut], Miaolei Bao [aut]
Maintainer: Milan Bimali <mbimali@uams.edu>
Repository: CRAN
Date/Publication: 2026-10-08 18:10:02 UTC

More information about PairedRand at CRAN
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New package SyncER with initial version 1.0.0
Package: SyncER
Title: Synchronicity Testing for Event Records
Version: 1.0.0
Description: Evaluation of synchronous deposition across different event records using a log-ratio approach, and syncing age-depth models based on the availability of isochrons. Following the methodology of Wils & Ramisch (2026) <doi:10.1038/s41598-026-67943-7>. The synthetic example dataset used in the examples, tests and vignette is distributed separately in the companion data package 'SyncERdata'.
License: GPL (>= 3)
URL: https://github.com/katleenwils/SyncER
BugReports: https://github.com/katleenwils/SyncER/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: dplyr, magrittr, stringr, readr, ggplot2, pracma
Suggests: knitr, rmarkdown, rbacon, rplum, SyncERdata (>= 1.0.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 22:44:03 UTC; wilska
Author: Katleen Wils [aut, cre]
Maintainer: Katleen Wils <katleen.wils@ugent.be>
Repository: CRAN
Date/Publication: 2026-10-08 17:40:11 UTC

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New package SINT with initial version 0.1.0
Package: SINT
Title: Simulation and Analysis of Social Influence Network Models
Version: 0.1.0
Description: Tools for specifying, analyzing and simulating models of social influence network theory based on the Friedkin-Johnsen model, Friedkin and Johnsen (1990) <doi:10.1080/0022250X.1990.9990069>, which includes the consensus model of DeGroot (1974) <doi:10.1080/01621459.1974.10480137> as a special case. Equilibrium opinions, total influence matrices and convergence diagnostics are computed in closed form, also for signed networks with antagonistic ties, Altafini (2013) <doi:10.1109/TAC.2012.2224251>. Simulations allow influence weights and susceptibilities to depend on time and on the state of the system, and can couple latent opinions with manifest responses through logistic or threshold response functions, whose results are aggregated into collective outcomes by quota rules.
URL: https://github.com/Silvestro26/SINT
BugReports: https://github.com/Silvestro26/SINT/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: igraph, knitr, network, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 19:18:22 UTC; giulio
Author: Giulio Vidotto [aut, cre]
Maintainer: Giulio Vidotto <silvestro26@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 17:40:17 UTC

More information about SINT at CRAN
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New package rMCHSPTT with initial version 0.1.0
Package: rMCHSPTT
Title: Modified Chain Sampling Inspection Plan for Time-Truncated Life Tests
Version: 0.1.0
Description: Designing and comparing modified chain sampling inspection plan (MChSP). This package implements ChSP-1, MChSP-1, Multiple Dependent State Sampling (MDS), and Modified Chain Sampling plans (MChSP). The plans use user-supplied failure probabilities and determine the minimum sample size subject to consumer's risk constraints. Functions are provided to compare the required sample sizes of the four plans and visualize their performance. The distribution-free formulation allows the methods to be used with different lifetime distributions. Luca (2018) <doi:10.1080/02664763.2017.1375084>; Tripathi et al. (2021) <doi:10.32604/csse.2021.015624>; Tripathi et al. (2023) <doi:10.1007/s41872-023-00215-9>; Rao et al. (2025) <doi:10.1080/27684520.2025.2531810>; Tripathi and Saha (2023) <doi:10.1007/s13198-023-02221-7>.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-28 18:05:16 UTC; Admin
Author: Harsh Tripathi [aut, cre]
Maintainer: Harsh Tripathi <rsearchstat21@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 17:30:02 UTC

More information about rMCHSPTT at CRAN
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Package pdp updated to version 0.10.0 with previous version 0.8.3 dated 2026-01-23

Title: Partial Dependence Plots
Description: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types of machine learning models in R.
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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New package metalabr with initial version 1.0.0
Package: metalabr
Title: Access MetaLab Community-Augmented Meta-Analysis Data
Version: 1.0.0
Description: Read released, versioned data from MetaLab (<https://metalab.stanford.edu>), a database of community-augmented meta-analyses of language acquisition and cognitive development; validate candidate datasets against the MetaLab field specification; compute standardized effect sizes; and draw the standard MetaLab visualizations (scatter, violin, forest, and funnel plots) backed by multilevel random-effects models.
License: MIT + file LICENSE
URL: https://github.com/langcog/metalabr, https://metalab.stanford.edu
BugReports: https://github.com/langcog/metalabr/issues
Encoding: UTF-8
Imports: assertthat, dplyr, ggplot2, Hmisc, httr, jsonlite, magrittr, metafor, purrr, rlang, stringr, tibble, yaml
Suggests: knitr, readr, redivis, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Additional_repositories: https://langcog.r-universe.dev
NeedsCompilation: no
Packaged: 2026-09-28 05:51:36 UTC; mcfrank
Author: Erik Iverson [aut], Sara El-Shawa [aut], Michael C. Frank [aut, cre] , MetaLab contributors [cph]
Maintainer: Michael C. Frank <mcfrank@stanford.edu>
Repository: CRAN
Date/Publication: 2026-10-08 17:30:07 UTC

More information about metalabr at CRAN
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New package land4health with initial version 0.3.0
Package: land4health
Title: Remote Sensing Metrics for Spatial Health Analysis
Version: 0.3.0
Description: Calculate and extract remote sensing metrics for spatial analysis in the field of health. The package offers R users a quick and straightforward way to obtain areal or zonal statistics of key environmental indicators, covariates, and vector-borne disease data ideal for modeling infectious diseases within the framework of spatial epidemiology.
Maintainer: Yomali Ferreyra <yomali.ferreyra@upch.pe>
URL: https://github.com/harmonize-tools/land4health/, https://harmonize-tools.github.io/land4health/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli (>= 3.4.0), lifecycle, tidyr, dplyr, rgee, sf, httr2, ows4R, reticulate, rappdirs, tibble, terra
Suggests: geojsonio, rmarkdown, knitr, testthat (>= 3.0.0), rstudioapi, geoidep, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
BugReports: https://github.com/harmonize-tools/land4health/issues
NeedsCompilation: no
Packaged: 2026-09-28 19:18:16 UTC; mvcs_dgppvu_ambi
Author: Antony Barja [aut, cph] , Yomali Ferreyra [cre] , Diego Villa [ctb]
Repository: CRAN
Date/Publication: 2026-10-08 17:40:02 UTC

More information about land4health at CRAN
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New package KOTORY with initial version 0.1.0
Package: KOTORY
Title: Robust Three-Group Tests for Heteroscedasticity in Linear Regression
Version: 0.1.0
Date: 2026-09-28
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>
Description: Tests for heteroscedasticity in the linear regression model that sort the data by a regressor, split them into three equal parts and compare the error scale of the parts. The ordinary least squares version 'kah3.test()' refers the ratio of the largest to the smallest residual mean square to its exact null distribution, Hartley's maximum F-ratio with three groups; the robust version 'kah.robust.test()' replaces the mean squares by least trimmed squares scales, so that outliers neither create nor hide heteroscedasticity, and refers the ratio to a maximum F-ratio with simulated effective degrees of freedom, to a Monte Carlo reference or to a residual bootstrap. The distribution, density, quantile and random generation functions of the maximum F-ratio are provided, together with 'run.all.het()', which runs the proposed tests next to the Goldfeld-Quandt, Breusch-Pagan, White and robust modified Goldfeld-Quandt tests in one call. For more details see Hartley (1950) <doi:10.1093/biomet/37. [...truncated...]
License: GPL-3
URL: https://github.com/ebrahimkhaled/KOTORY
BugReports: https://github.com/ebrahimkhaled/KOTORY/issues
Depends: R (>= 3.5.0)
Imports: robustbase, stats
Suggests: lmtest, skedastic, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-29 09:42:54 UTC; ebrah
Author: Ahmed El-Kotory [aut] , Ebrahim Khaled Ebrahim [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-08 18:00:02 UTC

More information about KOTORY at CRAN
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New package gtxlsx with initial version 0.4.0
Package: gtxlsx
Title: Write 'gt' and HTML Tables into 'openxlsx2' Workbooks
Version: 0.4.0
Description: Turns a 'gt' table into a range of cells in an 'openxlsx2' workbook, keeping the heading, column spanners, row groups, stub, summary rows, footnotes and the styling set through 'gt'. Numbers stay numbers wherever a spreadsheet number format can reproduce what 'gt' shows. A second entry point does the same for a plain HTML table, so output from other table packages can be written to a worksheet as well; that path needs nothing beyond 'openxlsx2'.
License: MIT + file LICENSE
URL: https://janmarvin.github.io/gtxlsx/, https://github.com/JanMarvin/gtxlsx
BugReports: https://github.com/JanMarvin/gtxlsx/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6.0)
Imports: grDevices, openxlsx2 (>= 1.0), utils
Suggests: gt (>= 0.8.0), lt (>= 0.2), markdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-28 21:15:52 UTC; janmarvingarbuszus
Author: Jan Marvin Garbuszus [aut, cre]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Repository: CRAN
Date/Publication: 2026-10-08 17:50:02 UTC

More information about gtxlsx at CRAN
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Package crypto2 updated to version 3.0.0 with previous version 2.0.5 dated 2025-09-11

Title: Download Crypto Currency Data from 'CoinMarketCap' and 'CoinGecko'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. The package draws on two complementary sources: 'CoinMarketCap' <https://coinmarketcap.com> (primary, via the 'crypto_*' functions) and 'CoinGecko' <https://www.coingecko.com> (secondary, via the 'cg_*' functions). Both sources are queried without an 'API' key; the two function families return tibbles with identical column conventions so downstream pipelines work on either source.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 2.0.5 dated 2025-09-11 and 3.0.0 dated 2026-10-08

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New package caples with initial version 0.1.0
Package: caples
Title: Fast, Plain-English Readouts for A/B/n Tests
Version: 0.1.0
Description: Sizes and reads out A/B/n tests on conversion rates in a few function calls. Supports unequal traffic splits, multiple treatment arms with multiplicity correction, sample ratio mismatch checks, achieved minimum detectable effects, and plain-English summaries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/RobinMahachi/caples
BugReports: https://github.com/RobinMahachi/caples/issues
NeedsCompilation: no
Packaged: 2026-09-28 17:16:30 UTC; robin
Author: Robin Mahachi [aut, cre]
Maintainer: Robin Mahachi <robinmahachi24@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 17:30:13 UTC

More information about caples at CRAN
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Package scTenifoldNet updated to version 1.4.3 with previous version 1.4 dated 2026-08-04

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs. See <doi:10.1016/j.patter.2020.100139> for more details.
Author: Daniel Osorio [aut, cre] , Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths]
Maintainer: Daniel Osorio <dcosorioh@gmail.com>

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Package polyglotSQL updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-27

Title: SQL Parsing, Analysis and Dialect Translation
Description: Parse, tokenize, validate, format, analyze and translate SQL between more than 30 dialects ('PostgreSQL', 'MySQL', 'BigQuery', 'Snowflake', 'DuckDB', 'T-SQL', and others) using the 'polyglot-sql' Rust crate <https://github.com/tobilg/polyglot>, a Rust port of the 'SQLGlot' 'Python' library. All processing happens locally in the R session; no database connection, 'Python' runtime or external service is required. Includes column-level lineage, structural query analysis, query optimization, 'AST' diffing and 'OpenLineage' facet generation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , Tobias Mueller [cph] ), Toby Mao [cph] , The authors of the vendored Rust dependencies [cph]
Maintainer: Andre Leite <leite@castlab.org>

Diff between polyglotSQL versions 0.1.1 dated 2026-09-27 and 0.1.2 dated 2026-10-08

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Package LMest updated to version 4.0.0 with previous version 3.2.8 dated 2026-01-14

Title: Generalized Latent Markov Models
Description: Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Author: Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Luca Brusa [ctb], Alessio Farcomeni [ctb], Alessio Serafini [ctb]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

Diff between LMest versions 3.2.8 dated 2026-01-14 and 4.0.0 dated 2026-10-08

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Package FastSurvival updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-29

Title: Fast Survival Analysis and Simulation for Clinical Trials
Description: Provides fast alternatives to standard survival analysis functions in the 'survival' package, together with tools for time-to-event trial simulation and sequential analysis. The estimation and testing functions cover a single-time-point Kaplan-Meier estimator (survfit_fast()), log-rank tests including weighted and stratified variants (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), restricted mean survival time (rmst_fast()), window mean survival time (wmst_fast()), milestone survival comparison (milestone_fast()), median survival time (medsurv_fast()), the max-combo test (maxcombo_fast()), the robust modestly-weighted log-rank test (rmw_fast()), the weighted Kaplan-Meier (Pepe-Fleming) test (wkm_fast()), the average hazard with survival weight (ahsw_fast()), and the Kalbfleisch-Prentice average hazard ratio (ahr_fast()). The simulation layer generates individual patient data (simdata_fast()), determines the calendar time [...truncated...]
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package subtools updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-24

Title: Read and Manipulate Video Subtitles
Description: A collection of functions to read, write and manipulate video subtitles. Supported formats include 'srt', 'subrip', 'sub', 'subviewer', 'microdvd', 'ssa', 'ass', 'substation', 'vtt', and 'webvtt'.
Author: Francois Keck [aut, cre, cph] , Bob Rudis [ctb] , Alban Sagouis [ctb]
Maintainer: Francois Keck <francois.keck@gmail.com>

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Package joinpointR updated to version 2.0.0 with previous version 1.1.0 dated 2026-07-20

Title: Tidy Tools for Joinpoint Regression Models
Description: Provides tools to fit joinpoint regression models with a log-linear specification by levels of one or two categorical variable(s) using the grid-search method. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.
Author: Tamara Ricardo [aut, cre]
Maintainer: Tamara Ricardo <tamararicardo83@gmail.com>

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Package paws updated to version 0.11.0 with previous version 0.10.0 dated 2026-06-01

Title: Amazon Web Services Software Development Kit
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Permanent link

Package ohun updated to version 1.0.5 with previous version 1.0.4 dated 2025-10-22

Title: Optimizing Acoustic Signal Detection
Description: Facilitates the automatic detection of acoustic signals, providing functions to diagnose and optimize the performance of detection routines. Detections from other software can also be explored and optimized. This package has been peer-reviewed by rOpenSci. Araya-Salas et al. (2022) <doi:10.1101/2022.12.13.520253>.
Author: Marcelo Araya-Salas [aut, cre] , Alec L. Robitaille [rev] , Sam Lapp [rev]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

Diff between ohun versions 1.0.4 dated 2025-10-22 and 1.0.5 dated 2026-10-08

 DESCRIPTION                            |   13 +
 MD5                                    |  121 ++++++++---------
 NAMESPACE                              |    3 
 NEWS.md                                |   15 ++
 R/consensus_detection.R                |   21 +--
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More information about ohun at CRAN
Permanent link

Package irtQ updated to version 1.3.1 with previous version 1.3.0 dated 2026-10-05

Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to test data, which includes both dichotomous and polytomous items, calibrate pretest item parameters, estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as differential item functioning analysis. In addition, the package provides a set of classical test theory functions for computing item- and test-level statistics (e.g., item difficulty, item-total correlation, and coefficient alpha) and for scoring and analyzing selected-response item data. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2020) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function wa [...truncated...]
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb], David Magis [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

Diff between irtQ versions 1.3.0 dated 2026-10-05 and 1.3.1 dated 2026-10-08

 DESCRIPTION                      |    8 
 MD5                              |  114 +-
 NAMESPACE                        |    1 
 NEWS.md                          |  117 ++
 R/cac_rud.R                      |    8 
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 R/lwrc.R                         |    5 
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 README.md                        |  861 ++++++++++-----------
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More information about irtQ at CRAN
Permanent link

Package insectecol updated to version 1.1.2 with previous version 1.1.1 dated 2026-10-05

Title: Insect Ecology Data Analysis Toolkit
Description: A collection of analytical tools for insect ecology research, currently covering age-stage, two-sex life table analysis, dose-response bioassays, temperature-dependent development and insect phenology prediction. The life table module follows the age-stage, two-sex life table theory of Chi (1988) <doi:10.1093/ee/17.1.26> and Chi et al. (2020) <doi:10.1127/entomologia/2020/0936>. It supports fast batch processing of multi-group datasets, validates raw 'csv' data, computes cohort size, mean fecundity, age-stage survival rates, age-specific survival, age-specific fecundity, life expectancy, and derived population parameters (net reproductive rate, intrinsic and finite rates of increase, mean generation time), simultaneously generates age-stage survival curves for all groups, and exports all tabular results and plots to 'Excel' in a single run. The bioassay module estimates lethal concentrations by the traditional and the weighted (improved) linear regression methods and by pro [...truncated...]
Author: Wangyao Li [aut, cre, cph], Yongsheng Zhang [aut], Huan Yu [aut]
Maintainer: Wangyao Li <1561941342@qq.com>

Diff between insectecol versions 1.1.1 dated 2026-10-05 and 1.1.2 dated 2026-10-08

 DESCRIPTION                               |    8 
 MD5                                       |  116 +--
 NAMESPACE                                 |    1 
 R/check_data.R                            |    7 
 R/emergence_calc.R                        |   12 
 R/emergence_export.R                      |   23 
 R/emergence_main.R                        |  122 ++-
 R/emergence_plot.R                        |    6 
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 R/lc50_data.R                             |    6 
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 R/lc50_plot.R                             |  139 ++--
 R/lifetable_bootstrap.R                   | 1004 +++++++++++++++---------------
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More information about insectecol at CRAN
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Package effectcheck updated to version 0.7.17 with previous version 0.2.3 dated 2026-03-25

Title: Statistical Consistency Checker for Published Research Results
Description: A conservative, assumption-aware statistical consistency checker for already-extracted research-results text. Parses test statistics, effect sizes, and confidence intervals across multiple citation styles including American Psychological Association (APA), Harvard, Frontiers, PLOS ONE, Scientific Reports, Nature Human Behaviour, PeerJ, eLife, PNAS, and others. Recomputes effect sizes using all plausible variants when design is ambiguous, and validates internal consistency. Supports t-tests, F-tests/ANOVA, correlations, chi-square, z-tests, regression, and nonparametric tests. Explicitly tracks all assumptions and uncertainty in output. Detects decision errors (significance reversals) similar to 'statcheck'. From v0.4.0 file extraction is no longer part of the package — pair with an external extractor (e.g., 'docpluck' at <https://docpluck.app>) and pass the resulting text to check_text(). Note: this package is under active development and results should be independently verified. [...truncated...]
Author: Gilad Feldman [aut, cre]
Maintainer: Gilad Feldman <giladfel@gmail.com>

Diff between effectcheck versions 0.2.3 dated 2026-03-25 and 0.7.17 dated 2026-10-08

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Package toml updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-13

Title: Read, Write, and Modify TOML Files
Description: Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package ParCC updated to version 1.4.1 with previous version 1.4.0 dated 2026-03-30

Title: Parameter Converter and Calculator for Health Technology Assessment
Description: An interactive 'shiny' application for Health Technology Assessment (HTA) parameter estimation. Converts between rates, probabilities, odds, and hazard ratios (HR); extrapolates survival curves (Exponential, Weibull, Log-Logistic); fits probabilistic sensitivity analysis (PSA) distributions (Beta, Gamma, LogNormal, Dirichlet) via the method of moments; calculates incremental cost-effectiveness ratios (ICERs), net monetary benefit (NMB), value-based pricing, and budget impact; adjusts costs for inflation, discounting, and purchasing power parity (PPP) across 30 countries; and adjusts background mortality using life-table methods. Designed for researchers building cost-effectiveness and budget-impact models who need auditable, formula-documented parameter transformations. Methods include Zhang and Yu (1998) <doi:10.1001/jama.280.19.1690> for odds ratio (OR) to relative risk (RR) conversion and Chinn (2000, Statistics in Medicine, 19, 3127-3131) for effect-size transformations.
Author: Abhijit Pakhare [aut, cre], Soumya Jain [aut], Anvita Malhotra [aut], Shivansh Verma [aut], Biju Somen [aut], Oshima Sachin [aut], Beena Joshi [aut], Ankur Joshi [aut]
Maintainer: Abhijit Pakhare <drpakhare@gmail.com>

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Package biomod2 updated to version 4.3-4-7 with previous version 4.3-4-6 dated 2026-05-23

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modelling, to calibrate, evaluate, and project species-environment relationships across space and time using multiple modelling algorithms and ensemble forecasting. It accommodates diverse ecological data types (presence-only, presence-absence, counts, multi-class abundance, or relative/absolute abundance) within a unified modelling workflow which includes cross-validation schemes, pseudo-absence selection strategies, expanded model parametrization options, a dozen of algorithms, and tools for exploring and visualizing outputs.
Author: Maya Gueguen [aut, cre] , Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

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Package myman updated to version 0.10.0 with previous version 0.1.0 dated 2026-09-27

Title: Draw from Sequence of 'My Man' Posts by Kevin Kruse
Description: Starting on the afternoon of July 17, 2026, Kevin Kruse fired off an astonishing array of 'BlueSky' replies to an initial post of his featuring a certain government figure: <https://bsky.app/profile/did:plc:cnpe7qvcyjrhm6w7w7e4atur/post/3mqum4mxsuk2g>. This lasted a week and generated nearly seven hundred posts. A second wave started on August 12, 2026, with this post: <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mstvbjpagc2a>. A third wave started on August 17, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mtcpiw7gi22j>. A fourth wave started on August 27, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mu3pugs2yk2f>. A fifth wave ran on August 30, 2026, beginning with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mudbzy5ksk25>. A sixth wave started September 4, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3muparqtdkk2w>. A seventh wave started September 12, 2026, wi [...truncated...]
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between myman versions 0.1.0 dated 2026-09-27 and 0.10.0 dated 2026-10-08

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Package mditools updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-20

Title: Microdata Infrastructure Tools for Firm-Level Microdata Research
Description: Supports the full analysis pipeline for researchers working with firm-level microdata. Provides data tools for panel preparation (import, outlier detection, classification harmonization), analytical methods (production function estimation, capital stock measurement, markups, intensity measures, distributions, regression, clustering), and disclosure tools for tagging outputs with dominance and observation counts before aggregation and publication. Production function estimation implements methods by Ackerberg, Caves and Frazer (2015) <doi:10.3982/ECTA13408>, Levinsohn and Petrin (2003) <doi:10.1111/1467-937X.00246>, Wooldridge (2009) <doi:10.1016/j.econlet.2009.04.026>, Petrin, Poi and Levinsohn (2004) <doi:10.1177/1536867X0400400202>, and Arellano and Bond (1991) <doi:10.2307/2297968> with the "too many instruments" correction by Roodman (2009) <doi:10.1111/j.1468-0084.2008.00542.x>. Markup estimation follows De Loecker and Warzynski (2012) <doi:1 [...truncated...]
Author: Daniele Aglio [aut], Eric Bartelsman [aut], Mirja Haelbig [aut], Marco Miorandi [aut], Johanna Weiss [aut, cre], Alessandro Zona Mattioli [aut], Julian Diaz-Acosta [ctb], Alberto Ferreira [ctb], Javier Miranda [ctb], Marcelo Piemonte Ribeiro [ctb], Re [...truncated...]
Maintainer: Johanna Weiss <johanna.weiss@iwhesl.onmicrosoft.com>

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Package gtfsio updated to version 1.2.2 with previous version 1.2.1 dated 2026-05-20

Title: Read and Write General Transit Feed Specification (GTFS) Files
Description: Tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic 'gtfs' class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.
Author: Daniel Herszenhut [aut] , Flavio Poletti [aut, cre], Mark Padgham [aut], Rafael H. M. Pereira [rev] , Tom Buckley [rev], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

Diff between gtfsio versions 1.2.1 dated 2026-05-20 and 1.2.2 dated 2026-10-08

 DESCRIPTION                                 |    8 +++---
 MD5                                         |   34 ++++++++++++++--------------
 NEWS.md                                     |    7 +++++
 R/import_gtfs.R                             |   13 ++++++++--
 inst/doc/gtfsio.html                        |    3 +-
 inst/extdata/macosx.zip                     |only
 inst/extdata/na_strings.zip                 |only
 inst/reference/create_gtfs_reference_data.R |   13 ++++++----
 inst/tinytest/test_import_gtfs.R            |   19 +++++++++++++++
 man/assert_gtfs.Rd                          |    4 +--
 man/check_field_class.Rd                    |    6 ++--
 man/check_field_exists.Rd                   |    6 ++--
 man/check_file_exists.Rd                    |    6 ++--
 man/export_gtfs.Rd                          |    4 +--
 man/gtfsio-package.Rd                       |    1 
 man/gtfsio_error.Rd                         |    4 +--
 man/import_gtfs.Rd                          |    7 +++--
 man/new_gtfs.Rd                             |    4 +--
 man/parent_function_error.Rd                |    4 +--
 19 files changed, 92 insertions(+), 51 deletions(-)

More information about gtfsio at CRAN
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Package ggRandomForests updated to version 3.5.4 with previous version 3.5.3 dated 2026-09-11

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between ggRandomForests versions 3.5.3 dated 2026-09-11 and 3.5.4 dated 2026-10-08

 DESCRIPTION                                                                       |    8 
 MD5                                                                               |   57 +-
 NEWS.md                                                                           |   81 +++
 R/gg_partial.R                                                                    |    9 
 R/gg_partial_rfsrc.R                                                              |   67 ++-
 R/gg_partial_varpro.R                                                             |    4 
 R/gg_udependent.R                                                                 |   30 +
 R/kaplan.R                                                                        |   31 -
 R/nelson.R                                                                        |   84 +++
 R/plot.gg_partial.R                                                               |  116 ++++-
 R/utils.R                                                                         |   82 ++-
 inst/doc/ggRandomForests-classification.html                                      |   45 +-
 inst/doc/ggRandomForests-regression.html                                          |   53 +-
 inst/doc/ggRandomForests-survival.html                                            |   61 +-
 inst/doc/ggRandomForests.html                                                     |   21 
 inst/doc/uvarpro.html                                                             |   21 
 inst/doc/varpro.html                                                              |   41 +
 man/gg_partial.Rd                                                                 |    9 
 man/gg_partial_rfsrc.Rd                                                           |   20 
 man/gg_partial_varpro.Rd                                                          |    4 
 man/gg_udependent.Rd                                                              |   13 
 man/nelson.Rd                                                                     |   18 
 man/plot.gg_partial.Rd                                                            |    7 
 man/plot.gg_partial_rfsrc.Rd                                                      |   19 
 tests/testthat/_snaps/snapshots/gg-partial-categorical.svg                        |only
 tests/testthat/_snaps/snapshots/gg-partial-rfsrc-categorical-survival.svg         |only
 tests/testthat/_snaps/snapshots/gg-partial-rfsrc-continuous-survival-by-group.svg |only
 tests/testthat/test_gg_partial.R                                                  |  212 ++++++++++
 tests/testthat/test_gg_udependent.R                                               |   42 +
 tests/testthat/test_kaplan_nelson.R                                               |  172 +++++++-
 tests/testthat/test_snapshots.R                                                   |   43 ++
 31 files changed, 1109 insertions(+), 261 deletions(-)

More information about ggRandomForests at CRAN
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New package seqbench with initial version 0.1.0
Package: seqbench
Title: Anytime-Valid Sequential Benchmarking of Algorithms
Version: 0.1.0
Description: Sequential, anytime-valid comparison of algorithms on paired losses with a practical-equivalence margin. Confidence sequences for the mean paired difference, superiority/equivalence/continue decisions, cost accounting and auditable trajectories.
License: GPL (>= 3)
URL: https://github.com/castlaboratory/seqbench
BugReports: https://github.com/castlaboratory/seqbench/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli (>= 3.6.0), generics, ggplot2 (>= 3.5.0), rlang (>= 1.1.0), stats, tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 13:26:41 UTC; leite
Author: Andre Leite [aut, cre], Raydonal Ospina [aut], Cristiano Ferraz [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-08 11:20:02 UTC

More information about seqbench at CRAN
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Package paws.compute updated to version 0.11.0 with previous version 0.10.0 dated 2026-05-31

Title: 'Amazon Web Services' Compute Services
Description: Interface to 'Amazon Web Services' compute services, including 'Elastic Compute Cloud' ('EC2'), 'Lambda' functions-as-a-service, containers, batch processing, and more <https://aws.amazon.com/>.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.compute versions 0.10.0 dated 2026-05-31 and 0.11.0 dated 2026-10-08

 DESCRIPTION                                                      |   11 
 MD5                                                              |  571 -
 NAMESPACE                                                        |   36 
 R/apprunner_interfaces.R                                         |  222 
 R/apprunner_operations.R                                         |  111 
 R/apprunner_service.R                                            |    4 
 R/batch_interfaces.R                                             |  300 
 R/batch_operations.R                                             |  265 
 R/batch_service.R                                                |    7 
 R/braket_interfaces.R                                            |  102 
 R/braket_operations.R                                            |   51 
 R/braket_service.R                                               |    8 
 R/computeoptimizer_interfaces.R                                  |  168 
 R/computeoptimizer_operations.R                                  |  100 
 R/computeoptimizer_service.R                                     |    4 
 R/ec2_interfaces.R                                               | 4851 +++-------
 R/ec2_operations.R                                               | 4064 ++++++--
 R/ec2_service.R                                                  |   52 
 R/ec2instanceconnect_interfaces.R                                |   12 
 R/ec2instanceconnect_operations.R                                |    6 
 R/ec2instanceconnect_service.R                                   |    4 
 R/ecr_interfaces.R                                               |  348 
 R/ecr_operations.R                                               |  174 
 R/ecr_service.R                                                  |    6 
 R/ecrpublic_interfaces.R                                         |  138 
 R/ecrpublic_operations.R                                         |   69 
 R/ecrpublic_service.R                                            |    6 
 R/ecs_interfaces.R                                               |  462 
 R/ecs_operations.R                                               |  319 
 R/ecs_service.R                                                  |    4 
 R/eks_interfaces.R                                               |  444 
 R/eks_operations.R                                               |  425 
 R/eks_service.R                                                  |   10 
 R/elasticbeanstalk_interfaces.R                                  |  237 
 R/elasticbeanstalk_operations.R                                  |  338 
 R/elasticbeanstalk_service.R                                     |   38 
 R/emrcontainers_interfaces.R                                     |  158 
 R/emrcontainers_operations.R                                     |  154 
 R/emrcontainers_service.R                                        |    8 
 R/emrserverless_interfaces.R                                     |  132 
 R/emrserverless_operations.R                                     |   66 
 R/emrserverless_service.R                                        |    4 
 R/imagebuilder_interfaces.R                                      |  462 
 R/imagebuilder_operations.R                                      |  950 +
 R/imagebuilder_service.R                                         |   86 
 R/lambda_interfaces.R                                            |  506 -
 R/lambda_operations.R                                            |  476 
 R/lambda_service.R                                               |    9 
 R/lightsail_interfaces.R                                         |  976 --
 R/lightsail_operations.R                                         |  544 -
 R/lightsail_service.R                                            |    5 
 R/proton_interfaces.R                                            |  522 -
 R/proton_operations.R                                            |  261 
 R/proton_service.R                                               |    4 
 R/serverlessapplicationrepository_interfaces.R                   |   78 
 R/serverlessapplicationrepository_operations.R                   |   42 
 R/serverlessapplicationrepository_service.R                      |    4 
 R/sysdata.rda                                                    |only
 man/apprunner.Rd                                                 |    4 
 man/batch.Rd                                                     |    7 
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 man/braket.Rd                                                    |    6 
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 man/ec2.Rd                                                       |   50 
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 man/ec2_create_fleet.Rd                                          |    4 
 man/ec2_create_flow_logs.Rd                                      |    7 
 man/ec2_create_image.Rd                                          |   21 
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 man/ec2_create_placement_group.Rd                                |    3 
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 man/ec2_describe_images.Rd                                       |    9 
 man/ec2_describe_instance_status.Rd                              |    1 
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 man/ec2_describe_placement_groups.Rd                             |    2 
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 man/ec2_get_spot_placement_scores.Rd                             |    7 
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 man/ec2_modify_capacity_reservation.Rd                           |   11 
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 man/ec2_update_interruptible_capacity_reservation_allocation.Rd  |    9 
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 man/ec2instanceconnect.Rd                                        |    4 
 man/ecr.Rd                                                       |    4 
 man/ecrpublic.Rd                                                 |    4 
 man/ecs.Rd                                                       |    4 
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 man/ecs_create_express_gateway_service.Rd                        |   30 
 man/ecs_create_service.Rd                                        |    5 
 man/ecs_list_daemons.Rd                                          |    2 
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 man/ecs_update_daemon.Rd                                         |   11 
 man/ecs_update_express_gateway_service.Rd                        |   22 
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 man/eks.Rd                                                       |   10 
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 man/eks_create_cluster.Rd                                        |   11 
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 man/elasticbeanstalk.Rd                                          |   36 
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 man/emrserverless.Rd                                             |    4 
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 man/imagebuilder_get_component_policy.Rd                         |    4 
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 man/imagebuilder_get_image.Rd                                    |    6 
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 man/imagebuilder_list_images.Rd                                  |   12 
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 man/imagebuilder_list_workflows.Rd                               |   14 
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 man/lightsail.Rd                                                 |    5 
 man/lightsail_create_distribution.Rd                             |   15 
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 man/lightsail_update_distribution.Rd                             |   17 
 man/proton.Rd                                                    |    4 
 man/serverlessapplicationrepository.Rd                           |    4 
 tests/testthat.R                                                 |only
 tests/testthat/test_apprunner.R                                  |   14 
 tests/testthat/test_batch.R                                      |    9 
 tests/testthat/test_braket.R                                     |    2 
 tests/testthat/test_computeoptimizer.R                           |    3 
 tests/testthat/test_ec2.R                                        |  366 
 tests/testthat/test_ec2instanceconnect.R                         |    2 
 tests/testthat/test_ecr.R                                        |    7 
 tests/testthat/test_ecrpublic.R                                  |    4 
 tests/testthat/test_ecs.R                                        |   10 
 tests/testthat/test_eks.R                                        |    7 
 tests/testthat/test_elasticbeanstalk.R                           |   10 
 tests/testthat/test_emrcontainers.R                              |    5 
 tests/testthat/test_emrserverless.R                              |    3 
 tests/testthat/test_imagebuilder.R                               |   17 
 tests/testthat/test_lambda.R                                     |    7 
 tests/testthat/test_lightsail.R                                  |    2 
 tests/testthat/test_proton.R                                     |   10 
 tests/testthat/test_serverlessapplicationrepository.R            |    3 
 316 files changed, 12014 insertions(+), 9639 deletions(-)

More information about paws.compute at CRAN
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Package clampSeg readmission to version 1.3-0 with previous version 1.2-0 dated 2025-06-27

Title: Idealisation of Patch Clamp Recordings
Description: Implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013) <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in Pein, Eltzner and Munk (2021) <doi:10.1007/s00249-021-01506-8>.
Author: Florian Pein [aut, cre], Timo Aspelmeier [ctb]
Maintainer: Florian Pein <f.pein@lancaster.ac.uk>

This is a re-admission after prior archival of version 1.2-0 dated 2025-06-27

Diff between clampSeg versions 1.2-0 dated 2025-06-27 and 1.3-0 dated 2026-10-08

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 clampSeg-1.3-0/clampSeg/ChangeLog                           |   51 +++++++
 clampSeg-1.3-0/clampSeg/DESCRIPTION                         |   17 +-
 clampSeg-1.3-0/clampSeg/MD5                                 |   54 ++-----
 clampSeg-1.3-0/clampSeg/build/partial.rdb                   |only
 clampSeg-1.3-0/clampSeg/inst/CITATION                       |   16 ++
 clampSeg-1.3-0/clampSeg/man/clampSeg-package.Rd             |   62 +++++----
 clampSeg-1.3-0/clampSeg/man/createLocalList.Rd              |   32 +++-
 clampSeg-1.3-0/clampSeg/man/deconvolveLocally.Rd            |   14 +-
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 clampSeg-1.3-0/clampSeg/man/improveSmallScales.Rd           |   50 ++++---
 clampSeg-1.3-0/clampSeg/man/jsmurf.Rd                       |   53 +++++--
 clampSeg-1.3-0/clampSeg/man/jules.Rd                        |   53 +++++--
 clampSeg-1.3-0/clampSeg/man/lowpassFilter.Rd                |   19 ++
 clampSeg-1.3-0/clampSeg/man/stepDetection.Rd                |   44 ++++--
 clampSeg-1.3-0/clampSeg/tests/testthat.R                    |    7 -
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 20 files changed, 414 insertions(+), 187 deletions(-)

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Package wordvector updated to version 0.6.5 with previous version 0.6.4 dated 2026-09-10

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between wordvector versions 0.6.4 dated 2026-09-10 and 0.6.5 dated 2026-10-08

 DESCRIPTION                          |    8 -
 MD5                                  |   32 ++++---
 NAMESPACE                            |   13 ++
 NEWS.md                              |    7 +
 R/as.doc2vec.R                       |   97 ++++++++++++++++------
 R/as.word2vec.R                      |   31 +++----
 R/doc2vec.R                          |    6 -
 R/lsa.R                              |   21 ++--
 R/object-builder.R                   |only
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 tests/testthat/test-object-builder.R |only
 19 files changed, 326 insertions(+), 204 deletions(-)

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New package tsahr with initial version 0.2.8.17
Package: tsahr
Title: Trial Sequential Analysis for Meta-Analyses of Hazard Ratios
Version: 0.2.8.17
Description: Performs Trial Sequential Analysis (TSA) for meta-analyses of time-to-event outcomes reported as hazard ratios. Implements the Schoenfeld required-events sample-size formula generalised for unequal allocation, the Diversity (D-squared) heterogeneity adjustment of Wetterslev et al. (2009), and O'Brien-Fleming-type alpha- and beta-spending trial sequential monitoring boundaries computed at the inverse-variance information based on observed study-level log-HR standard errors (not merely event counts), via a compiled (C++) recursive numerical integration engine ported from the R package 'RTSA' (Soerensen, Olsen, Lange and Gluud; an R implementation of the Trial Sequential Analysis software of the Copenhagen Trial Unit, <https://ctu.dk/tools>), with no fixed software-imposed limit on the number of looks (subject to available computational resources). Produces a cumulative Z-curve plot with efficacy, futility, and conventional significance boundaries. Methodology follows Miladinovic et [...truncated...]
License: GPL (>= 2)
Copyright: inst/COPYRIGHTS
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: metafor, readxl, ggplot2 (>= 3.4.0), stats, utils, Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), RTSA
URL: https://github.com/tarak-dhaouadi/tsahr
BugReports: https://github.com/tarak-dhaouadi/tsahr/issues
NeedsCompilation: yes
Maintainer: Tarak Dhaouadi <dhaouaditarak@yahoo.fr>
Packaged: 2026-09-26 17:50:12 UTC; dhaou
Author: Tarak Dhaouadi [aut, cre], Anne Lyngholm Soerensen [ctb, cph] , Markus Harboe Olsen [ctb, cph] , Theis Lange [ctb, cph] , Christian Gluud [ctb, cph]
Repository: CRAN
Date/Publication: 2026-10-08 09:50:02 UTC

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New package transDIF with initial version 0.1.0
Package: transDIF
Title: Score Comparability for Translated and Adapted Exams
Version: 0.1.0
Description: An adaptation-comparability workflow for small, lower-scoring and unbalanced language groups where standard differential item functioning (DIF) tools (Magis, Beland, Tuerlinckx and De Boeck, 2010, <doi:10.3758/BRM.42.3.847>) break down. Calibrates the Rasch model in each language group, links the groups robustly through the densest cluster of items rather than assuming DIF cancels out (on anchor selection see Kopf, Zeileis and Strobl, 2015, <doi:10.1177/0013164414529792>), detects small-sample DIF with an empirical-Bayes spike-and-slab model and local false discovery rates (Efron, 2004, <doi:10.1198/016214504000000089>), quantifies whether item-level DIF accumulates into different pass rates, explains DIF by item features to give translators actionable guidance, and drafts a comparability report.
License: MIT + file LICENSE
URL: https://github.com/edidatasolutions/transDIF, https://edidatasolutions.github.io/transDIF/
BugReports: https://github.com/edidatasolutions/transDIF/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats
Suggests: knitr, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 00:45:20 UTC; User
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 09:20:02 UTC

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New package tradesimr with initial version 0.18.7
Package: tradesimr
Title: Execution and Simulation Engine for Trading Strategies
Version: 0.18.7
Description: An R-native trading simulation package with a C++ execution core that turns strategy intentions and explicit orders into simulated trades, positions, cash, profit and loss, risk, and performance outputs under configurable execution, margin, funding, and cost assumptions. The package provides historical replay, incremental exchange stepping, durable event tables, append-only agent command logs, registered assets, per-agent shared-cash cross-margin live accounts, AI agent competitors, scheduled live-feed stepping, strategy-backed AI agents with diagnostics, calibrated and coordinated multi-asset market simulation with static covariance, AR-GARCH, factor, and regime models, durable per-feed simulation state, profile-aware heterogeneous inventory and margin execution with atomic mixed-profile order groups, optional portfolio-margin enforcement through a multi-asset C++ step kernel, local live-service APIs, import/export helpers, separate replay, live-state, and agent dashboard exports, and [...truncated...]
Depends: R (>= 4.2.0)
Imports: data.table, Rcpp, R6
LinkingTo: Rcpp
Suggests: testthat, fst, ggplot2, jsonlite, lubridate, plumber, strategyr, zoo
URL: https://github.com/OliverLDS/tradesimr
BugReports: https://github.com/OliverLDS/tradesimr/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-09-28 11:49:14 UTC; oliver
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 10:40:02 UTC

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New package tidymatrix with initial version 0.1.0
Package: tidymatrix
Title: Tidyverse-Style Operations on Matrices with Row and Column Metadata
Version: 0.1.0
Description: Provides a unified data structure for matrices with associated row and column metadata, enabling 'tidyverse'-style data manipulation. Following the approach of 'tidygraph', users can activate rows, columns, or the matrix itself and operate on it with familiar 'dplyr' verbs, while the matrix and both metadata tables are kept consistent.
License: MIT + file LICENSE
URL: https://raivokolde.github.io/tidymatrix/, https://github.com/raivokolde/tidymatrix
BugReports: https://github.com/raivokolde/tidymatrix/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang, stats, tibble, utils
Suggests: testthat (>= 3.0.0), ggplot2, knitr, pheatmap, rmarkdown, Rtsne, umap
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 13:06:52 UTC; raivokolde
Author: Raivo Kolde [aut, cre]
Maintainer: Raivo Kolde <rkolde@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 11:00:02 UTC

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New package throughyear with initial version 0.1.0
Package: throughyear
Title: Linking, Routing and Fairness for Through-Year Assessment
Version: 0.1.0
Description: Treats a through-year assessment system (interims during the year feeding a multistage summative) as the unit of analysis. Links interims to the summative scale with a latent multivariate normal model that carries each score's measurement error forward and handles missing interims, estimated by the EM algorithm (Dempster, Laird and Rubin, 1977, <doi:10.1111/j.2517-6161.1977.tb01600.x>) with SQUAREM acceleration (Varadhan and Roland, 2008, <doi:10.1111/j.1467-9469.2007.00585.x>); simulates cold-start versus prior-informed routing in a two-stage multistage test; checks whether priors disadvantage late enrollers, low scorers or fast growers; and evaluates decision accuracy and consistency of through-year scores against a single summative.
License: MIT + file LICENSE
URL: https://github.com/edidatasolutions/throughyear, https://edidatasolutions.github.io/throughyear/
BugReports: https://github.com/edidatasolutions/throughyear/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats
Suggests: knitr, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 00:38:54 UTC; User
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 09:10:02 UTC

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Package suwo updated to version 0.2.2 with previous version 0.2.1 dated 2026-04-20

Title: Access Nature Media Repositories
Description: Streamline searching, downloading and formatting of nature media files (e.g. audios, photos) from online repositories. The package offers functions for obtaining media metadata from online repositories, downloading associated media files and updating data sets with new records.
Author: Marcelo Araya-Salas [aut, cre] , Jorge Elizondo-Calvo [aut] , Alejandro Rico-Guevara [aut] , Hugo Gruson [rev] , Eric R Scott [rev]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

Diff between suwo versions 0.2.1 dated 2026-04-20 and 0.2.2 dated 2026-10-08

 DESCRIPTION                                 |   25 
 MD5                                         |   91 +-
 NAMESPACE                                   |    1 
 NEWS.md                                     |  133 ++-
 R/access_wikiaves.R                         |only
 R/download_media.R                          |   33 
 R/find_duplicates.R                         |   43 -
 R/internal_functions.R                      |  392 ++++++++++-
 R/map_locations.R                           |   72 ++
 R/query_gbif.R                              |    2 
 R/query_macaulay.R                          |    3 
 R/query_wikiaves.R                          |  248 +++++--
 R/query_xenocanto.R                         |  131 +++
 R/remove_duplicates.R                       |    7 
 R/sysdata.rda                               |binary
 R/template_params.R                         |    5 
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 README.md                                   |  208 +++---
 build/vignette.rds                          |binary
 inst/CITATION                               |    8 
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 man/query_gbif.Rd                           |    1 
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 man/query_xenocanto.Rd                      |   64 +
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 man/update_metadata.Rd                      |   53 +
 tests/testthat/test_download_media.R        |    6 
 tests/testthat/test_internals.R             |    4 
 tests/testthat/test_query_gbif.R            |    2 
 tests/testthat/test_query_inaturalist.R     |    2 
 tests/testthat/test_query_wikiaves.R        |   40 -
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Package suppr updated to version 1.1.0 with previous version 1.0.1 dated 2026-09-07

Title: Supplementary Idiomatic Utilities and Extensions
Description: Miscellaneous supplementary functions designed to follow idiomatic 'R' conventions. Some functions are simple wrappers that reduce repetitive code, while others address common tasks or extend existing 'R' functions.
Author: Luke Jenkins [aut, cre, cph]
Maintainer: Luke Jenkins <luke-jenkins-dev@outlook.com>

Diff between suppr versions 1.0.1 dated 2026-09-07 and 1.1.0 dated 2026-10-08

 DESCRIPTION                            |    6 
 MD5                                    |   15 +
 NAMESPACE                              |  254 ++++++++++++++++-----------------
 NEWS.md                                |   24 +--
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 10 files changed, 197 insertions(+), 150 deletions(-)

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New package silentema with initial version 1.0.0
Package: silentema
Title: Dynamic Missingness Graphs and Sensitivity Analysis for EMA Data
Version: 1.0.0
Description: Tools for diagnosing and correcting informative nonresponse in ecological momentary assessment (EMA) and other experience-sampling designs. Declares the assumed nonresponse mechanism as a dynamic missingness graph built from a taxonomy of seven motifs, following the graphical missing-data framework of Mohan and Pearl (2021) <doi:10.1080/01621459.2021.1874961>; checks by d-separation which within-person and between-person estimands of a two-level vector autoregressive model remain recoverable and by which estimator; tests whether skipped prompts were informative (the silence test and the sensor-gap test, with cluster-robust inference after Cameron and Miller (2015) <doi:10.3368/jhr.50.2.317>); estimates the temporal and contemporaneous networks from answered adjacent prompts with the half-panel jackknife of Dhaene and Jochmans (2015) <doi:10.1093/restud/rdv007>, by inverse-probability weighting on an observed context, and by full-information maximum likelihood with the [...truncated...]
License: GPL (>= 3)
URL: https://github.com/hsiutingyu/silentema, https://hsiutingyu.github.io/silentema/, https://osf.io/x6d2t/
BugReports: https://github.com/hsiutingyu/silentema/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.7), stats, graphics, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-28 04:27:20 UTC; root
Author: Hsiu-Ting Yu [aut, cre, cph]
Maintainer: Hsiu-Ting Yu <hsiutingyu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 09:40:02 UTC

More information about silentema at CRAN
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Package qapproach updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-22

Title: The Q Approach to Consensus Building
Description: Implements a workflow based on Q method to support consensus-building processes. It prepares participant rankings, selects and fits group perspectives, calculates consensus priority scores, validates results by bootstrap resampling, and produces publication-ready figures. The underlying method is described by Geschke et al. (2022) "The Q approach to consensus building: integrating diverse perspectives to guide decision-making" <doi:10.32942/X2F59S>.
Author: Jonas Geschke [aut, cre]
Maintainer: Jonas Geschke <hallo@qapproach.app>

Diff between qapproach versions 0.1.1 dated 2026-09-22 and 0.1.2 dated 2026-10-08

 DESCRIPTION                               |    6 
 MD5                                       |   57 +
 NAMESPACE                                 |    4 
 NEWS.md                                   |   52 +
 R/analysis.R                              |   89 +-
 R/api-documentation.R                     |   22 
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 tests/testthat/Rplots.pdf                 |only
 tests/testthat/test-bootstrap-alignment.R |    2 
 tests/testthat/test-prepare-rankings.R    |   12 
 tests/testthat/test-validation-api.R      |  200 +++++
 tests/testthat/test-visualization-api.R   |  170 ++++
 25 files changed, 2097 insertions(+), 153 deletions(-)

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New package retestR with initial version 0.1.0
Package: retestR
Title: Model-Based Anomaly Detection for Repeat Test-Takers
Version: 0.1.0
Description: Flags repeat test-takers whose second-attempt performance departs from what a growth model predicts, using independent evidence sources: model-expected score gain (accounting for regression to the mean, time between attempts and remediation), differential performance on exposed versus new items (Sinharay, 2017, <doi:10.3102/1076998616673872>), and differential response speed under a lognormal response-time model (van der Linden, 2006, <doi:10.3102/10769986031002181>). Evidence is combined into a risk index calibrated by parametric bootstrap under the no-misconduct model, so flagging thresholds carry explicit false-positive rates.
License: MIT + file LICENSE
URL: https://github.com/edidatasolutions/retestR, https://edidatasolutions.github.io/retestR/
BugReports: https://github.com/edidatasolutions/retestR/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, utils
Suggests: knitr, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 00:33:21 UTC; User
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 09:10:07 UTC

More information about retestR at CRAN
Permanent link

Package paws.security.identity updated to version 0.11.0 with previous version 0.10.0 dated 2026-05-31

Title: 'Amazon Web Services' Security, Identity, & Compliance Services
Description: Interface to 'Amazon Web Services' security, identity, and compliance services, including the 'Identity & Access Management' ('IAM') service for managing access to services and resources, and more <https://aws.amazon.com/>.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.security.identity versions 0.10.0 dated 2026-05-31 and 0.11.0 dated 2026-10-08

 DESCRIPTION                                                     |   11 
 MD5                                                             |  580 +++---
 NAMESPACE                                                       |   36 
 R/accessanalyzer_interfaces.R                                   |  207 --
 R/accessanalyzer_operations.R                                   |  117 -
 R/accessanalyzer_service.R                                      |    6 
 R/account_interfaces.R                                          |  102 -
 R/account_operations.R                                          |  166 +
 R/account_service.R                                             |    9 
 R/acm_interfaces.R                                              |  299 ++-
 R/acm_operations.R                                              |  845 +++++++++-
 R/acm_service.R                                                 |   29 
 R/acmpca_interfaces.R                                           |  105 -
 R/acmpca_operations.R                                           |   73 
 R/acmpca_service.R                                              |    4 
 R/cleanroomsml_interfaces.R                                     |  309 +--
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 R/cleanroomsml_service.R                                        |    4 
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 R/clouddirectory_operations.R                                   |  198 +-
 R/clouddirectory_service.R                                      |    6 
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 R/cloudhsm_operations.R                                         |   60 
 R/cloudhsm_service.R                                            |    4 
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 R/cloudhsmv2_operations.R                                       |   54 
 R/cloudhsmv2_service.R                                          |    6 
 R/cognitoidentity_interfaces.R                                  |  126 -
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 R/cognitoidentityprovider_interfaces.R                          |  793 +++------
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 R/cognitoidentityprovider_service.R                             |   16 
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 R/cognitosync_operations.R                                      |   51 
 R/cognitosync_service.R                                         |    4 
 R/detective_interfaces.R                                        |  141 -
 R/detective_operations.R                                        |   87 -
 R/detective_service.R                                           |    6 
 R/directoryservice_interfaces.R                                 |  480 +----
 R/directoryservice_operations.R                                 |  240 +-
 R/directoryservice_service.R                                    |    4 
 R/fms_interfaces.R                                              |  225 --
 R/fms_operations.R                                              |  126 -
 R/fms_service.R                                                 |    4 
 R/guardduty_interfaces.R                                        |  663 +++----
 R/guardduty_operations.R                                        |  814 ++++++++-
 R/guardduty_service.R                                           |   21 
 R/iam_interfaces.R                                              |  835 +++------
 R/iam_operations.R                                              |  703 ++++++--
 R/iam_service.R                                                 |   10 
 R/iamrolesanywhere_interfaces.R                                 |  180 --
 R/iamrolesanywhere_operations.R                                 |   90 -
 R/iamrolesanywhere_service.R                                    |    4 
 R/identitystore_interfaces.R                                    |  144 -
 R/identitystore_operations.R                                    |  259 ++-
 R/identitystore_service.R                                       |   17 
 R/inspector2_interfaces.R                                       |  510 ++----
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 R/inspector2_service.R                                          |   14 
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 R/inspector_service.R                                           |    6 
 R/kms_interfaces.R                                              |  282 +--
 R/kms_operations.R                                              |  164 +
 R/kms_service.R                                                 |    4 
 R/macie2_interfaces.R                                           |  486 +----
 R/macie2_operations.R                                           |  243 +-
 R/macie2_service.R                                              |    6 
 R/pcaconnectorad_interfaces.R                                   |  117 -
 R/pcaconnectorad_operations.R                                   |   75 
 R/pcaconnectorad_service.R                                      |    4 
 R/ram_interfaces.R                                              |  210 --
 R/ram_operations.R                                              |  105 -
 R/ram_service.R                                                 |    4 
 R/secretsmanager_interfaces.R                                   |  132 -
 R/secretsmanager_operations.R                                   |   69 
 R/secretsmanager_service.R                                      |    4 
 R/securityhub_interfaces.R                                      |  754 +++-----
 R/securityhub_operations.R                                      |  698 ++++++--
 R/securityhub_service.R                                         |   16 
 R/securitylake_interfaces.R                                     |  186 --
 R/securitylake_operations.R                                     |   93 -
 R/securitylake_service.R                                        |    4 
 R/shield_interfaces.R                                           |  216 --
 R/shield_operations.R                                           |  108 -
 R/shield_service.R                                              |    4 
 R/sso_interfaces.R                                              |   21 
 R/sso_operations.R                                              |   12 
 R/sso_service.R                                                 |    4 
 R/ssoadmin_interfaces.R                                         |  456 +----
 R/ssoadmin_operations.R                                         |  244 +-
 R/ssoadmin_service.R                                            |    4 
 R/ssooidc_interfaces.R                                          |   24 
 R/ssooidc_operations.R                                          |   12 
 R/ssooidc_service.R                                             |    6 
 R/sts_interfaces.R                                              |   66 
 R/sts_operations.R                                              |   63 
 R/sts_service.R                                                 |   12 
 R/sysdata.rda                                                   |only
 R/verifiedpermissions_interfaces.R                              |  204 --
 R/verifiedpermissions_operations.R                              |  102 -
 R/verifiedpermissions_service.R                                 |    4 
 R/waf_interfaces.R                                              |  462 +----
 R/waf_operations.R                                              |  231 +-
 R/waf_service.R                                                 |    4 
 R/wafregional_interfaces.R                                      |  486 +----
 R/wafregional_operations.R                                      |  243 +-
 R/wafregional_service.R                                         |    4 
 R/wafv2_interfaces.R                                            |  370 +---
 R/wafv2_operations.R                                            |  347 +++-
 R/wafv2_service.R                                               |    8 
 man/accessanalyzer.Rd                                           |    4 
 man/account.Rd                                                  |    9 
 man/account_get_primary_email_update_status.Rd                  |only
 man/account_send_phone_number_verification.Rd                   |only
 man/account_verify_phone_number.Rd                              |only
 man/acm.Rd                                                      |   29 
 man/acm_create_acme_domain_validation.Rd                        |only
 man/acm_create_acme_endpoint.Rd                                 |only
 man/acm_create_acme_external_account_binding.Rd                 |only
 man/acm_delete_acme_domain_validation.Rd                        |only
 man/acm_delete_acme_endpoint.Rd                                 |only
 man/acm_delete_acme_external_account_binding.Rd                 |only
 man/acm_describe_acme_account.Rd                                |only
 man/acm_describe_acme_domain_validation.Rd                      |only
 man/acm_describe_acme_endpoint.Rd                               |only
 man/acm_describe_acme_external_account_binding.Rd               |only
 man/acm_get_acme_external_account_binding_credentials.Rd        |only
 man/acm_list_acme_accounts.Rd                                   |only
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 man/acm_list_acme_endpoints.Rd                                  |only
 man/acm_list_acme_external_account_bindings.Rd                  |only
 man/acm_list_certificate_domain_validations.Rd                  |only
 man/acm_list_certificates.Rd                                    |    3 
 man/acm_list_tags_for_resource.Rd                               |only
 man/acm_request_certificate.Rd                                  |    4 
 man/acm_revoke_acme_account.Rd                                  |only
 man/acm_revoke_acme_external_account_binding.Rd                 |only
 man/acm_tag_resource.Rd                                         |only
 man/acm_untag_resource.Rd                                       |only
 man/acm_update_acme_domain_validation.Rd                        |only
 man/acm_update_acme_endpoint.Rd                                 |only
 man/acm_update_certificate_options.Rd                           |    6 
 man/acmpca.Rd                                                   |    4 
 man/acmpca_create_certificate_authority.Rd                      |    2 
 man/acmpca_update_certificate_authority.Rd                      |    2 
 man/cleanroomsml.Rd                                             |    4 
 man/clouddirectory.Rd                                           |    6 
 man/cloudhsm.Rd                                                 |    4 
 man/cloudhsmv2.Rd                                               |    4 
 man/cognitoidentity.Rd                                          |    4 
 man/cognitoidentityprovider.Rd                                  |   14 
 man/cognitoidentityprovider_admin_delete_software_token.Rd      |only
 man/cognitoidentityprovider_admin_get_user_auth_factors.Rd      |only
 man/cognitoidentityprovider_admin_initiate_auth.Rd              |    6 
 man/cognitoidentityprovider_admin_link_provider_for_user.Rd     |    4 
 man/cognitoidentityprovider_create_identity_provider.Rd         |    7 
 man/cognitoidentityprovider_create_user_import_job.Rd           |    7 
 man/cognitoidentityprovider_create_user_pool.Rd                 |   25 
 man/cognitoidentityprovider_create_user_pool_client.Rd          |    2 
 man/cognitoidentityprovider_create_user_pool_domain.Rd          |    9 
 man/cognitoidentityprovider_create_user_pool_replica.Rd         |only
 man/cognitoidentityprovider_delete_user_pool_replica.Rd         |only
 man/cognitoidentityprovider_describe_terms_by_client.Rd         |only
 man/cognitoidentityprovider_get_client_token.Rd                 |only
 man/cognitoidentityprovider_get_provisioned_limit.Rd            |only
 man/cognitoidentityprovider_initiate_auth.Rd                    |    6 
 man/cognitoidentityprovider_list_user_pool_replicas.Rd          |only
 man/cognitoidentityprovider_update_identity_provider.Rd         |    7 
 man/cognitoidentityprovider_update_provisioned_limit.Rd         |only
 man/cognitoidentityprovider_update_user_pool.Rd                 |   13 
 man/cognitoidentityprovider_update_user_pool_client.Rd          |    2 
 man/cognitoidentityprovider_update_user_pool_domain.Rd          |    5 
 man/cognitoidentityprovider_update_user_pool_replica.Rd         |only
 man/cognitosync.Rd                                              |    4 
 man/detective.Rd                                                |    4 
 man/directoryservice.Rd                                         |    4 
 man/fms.Rd                                                      |    4 
 man/guardduty.Rd                                                |   19 
 man/guardduty_create_custom_detection_rule_association.Rd       |only
 man/guardduty_create_custom_detection_rule_org_configuration.Rd |only
 man/guardduty_create_filter.Rd                                  |    7 
 man/guardduty_create_investigation.Rd                           |only
 man/guardduty_delete_custom_detection_rule_association.Rd       |only
 man/guardduty_delete_custom_detection_rule_org_configuration.Rd |only
 man/guardduty_get_custom_detection_rule.Rd                      |only
 man/guardduty_get_custom_detection_rule_association.Rd          |only
 man/guardduty_get_custom_detection_rule_org_configuration.Rd    |only
 man/guardduty_get_investigation.Rd                              |only
 man/guardduty_list_custom_detection_rule_associations.Rd        |only
 man/guardduty_list_custom_detection_rule_org_configurations.Rd  |only
 man/guardduty_list_custom_detection_rules.Rd                    |only
 man/guardduty_list_investigations.Rd                            |only
 man/guardduty_update_custom_detection_rule_association.Rd       |only
 man/guardduty_update_custom_detection_rule_org_configuration.Rd |only
 man/guardduty_update_filter.Rd                                  |    7 
 man/iam.Rd                                                      |    8 
 man/iam_acquire_role.Rd                                         |only
 man/iam_create_service_specific_credential.Rd                   |    4 
 man/iam_get_account_properties.Rd                               |only
 man/iam_get_role_template_version.Rd                            |only
 man/iam_list_service_specific_credentials.Rd                    |    2 
 man/iam_put_account_properties.Rd                               |only
 man/iam_simulate_custom_policy.Rd                               |   11 
 man/iam_simulate_principal_policy.Rd                            |   13 
 man/iamrolesanywhere.Rd                                         |    4 
 man/identitystore.Rd                                            |   17 
 man/identitystore_create_group.Rd                               |    4 
 man/identitystore_create_group_membership.Rd                    |    8 
 man/identitystore_create_user.Rd                                |    4 
 man/identitystore_delete_group.Rd                               |   12 
 man/identitystore_delete_group_membership.Rd                    |    8 
 man/identitystore_delete_user.Rd                                |   12 
 man/identitystore_describe_group.Rd                             |    8 
 man/identitystore_describe_group_membership.Rd                  |    8 
 man/identitystore_describe_identity_store.Rd                    |only
 man/identitystore_describe_user.Rd                              |    8 
 man/identitystore_get_group_id.Rd                               |    4 
 man/identitystore_get_group_membership_id.Rd                    |    8 
 man/identitystore_get_user_id.Rd                                |    4 
 man/identitystore_is_member_in_groups.Rd                        |    8 
 man/identitystore_list_group_memberships.Rd                     |   10 
 man/identitystore_list_group_memberships_for_member.Rd          |    8 
 man/identitystore_list_groups.Rd                                |    8 
 man/identitystore_list_identity_stores.Rd                       |only
 man/identitystore_list_users.Rd                                 |    8 
 man/identitystore_update_group.Rd                               |   17 
 man/identitystore_update_identity_store.Rd                      |only
 man/identitystore_update_user.Rd                                |   12 
 man/inspector.Rd                                                |    6 
 man/inspector2.Rd                                               |   14 
 man/inspector2_create_connector.Rd                              |only
 man/inspector2_delete_connector.Rd                              |only
 man/inspector2_get_configuration.Rd                             |    9 
 man/inspector2_list_connector_scan_configurations.Rd            |only
 man/inspector2_list_connectors.Rd                               |only
 man/inspector2_update_configuration.Rd                          |   12 
 man/inspector2_update_connector.Rd                              |only
 man/inspector2_update_connector_scan_configuration.Rd           |only
 man/inspector_create_assessment_target.Rd                       |    2 
 man/inspector_create_assessment_template.Rd                     |    2 
 man/inspector_get_assessment_report.Rd                          |    2 
 man/inspector_list_assessment_targets.Rd                        |    2 
 man/kms.Rd                                                      |    4 
 man/kms_derive_shared_secret.Rd                                 |    2 
 man/macie2.Rd                                                   |    4 
 man/pcaconnectorad.Rd                                           |    4 
 man/ram.Rd                                                      |    4 
 man/secretsmanager.Rd                                           |    4 
 man/securityhub.Rd                                              |   14 
 man/securityhub_create_connector.Rd                             |only
 man/securityhub_delete_connector.Rd                             |only
 man/securityhub_describe_standards.Rd                           |    8 
 man/securityhub_disable_security_hub_feature_v2.Rd              |only
 man/securityhub_disable_security_hub_v2.Rd                      |    2 
 man/securityhub_enable_security_hub_feature_v2.Rd               |only
 man/securityhub_get_connector.Rd                                |only
 man/securityhub_get_enabled_standards.Rd                        |    5 
 man/securityhub_get_remediations_v2.Rd                          |only
 man/securityhub_list_connectors.Rd                              |only
 man/securityhub_list_connectors_v2.Rd                           |    5 
 man/securityhub_list_exposures_by_remediation_v2.Rd             |only
 man/securityhub_list_free_trial_statuses_v2.Rd                  |only
 man/securityhub_list_security_control_definitions.Rd            |    5 
 man/securityhub_update_connector.Rd                             |only
 man/securitylake.Rd                                             |    4 
 man/shield.Rd                                                   |    4 
 man/sso.Rd                                                      |    4 
 man/ssoadmin.Rd                                                 |    4 
 man/ssoadmin_update_instance.Rd                                 |    7 
 man/ssooidc.Rd                                                  |    6 
 man/sts.Rd                                                      |   12 
 man/sts_assume_role.Rd                                          |    5 
 man/sts_assume_role_with_saml.Rd                                |    5 
 man/sts_assume_role_with_web_identity.Rd                        |    5 
 man/sts_assume_root.Rd                                          |    9 
 man/sts_get_federation_token.Rd                                 |    5 
 man/sts_get_session_token.Rd                                    |    5 
 man/verifiedpermissions.Rd                                      |    4 
 man/waf.Rd                                                      |    4 
 man/wafregional.Rd                                              |    4 
 man/wafv2.Rd                                                    |    8 
 man/wafv2_associate_web_acl.Rd                                  |    1 
 man/wafv2_create_rule_group.Rd                                  |    5 
 man/wafv2_create_web_acl.Rd                                     |    5 
 man/wafv2_disassociate_web_acl.Rd                               |    1 
 man/wafv2_get_revenue_statistics.Rd                             |only
 man/wafv2_get_revenue_statistics_summary.Rd                     |only
 man/wafv2_get_revenue_statistics_time_series.Rd                 |only
 man/wafv2_get_web_acl_for_resource.Rd                           |    1 
 man/wafv2_list_settlement_records.Rd                            |only
 man/wafv2_update_rule_group.Rd                                  |    5 
 man/wafv2_update_web_acl.Rd                                     |    5 
 tests/testthat.R                                                |only
 tests/testthat/test_accessanalyzer.R                            |    4 
 tests/testthat/test_account.R                                   |    4 
 tests/testthat/test_acm.R                                       |   13 
 tests/testthat/test_acmpca.R                                    |    4 
 tests/testthat/test_cleanroomsml.R                              |    8 
 tests/testthat/test_clouddirectory.R                            |   10 
 tests/testthat/test_cloudhsm.R                                  |    2 
 tests/testthat/test_cloudhsmv2.R                                |    6 
 tests/testthat/test_cognitoidentity.R                           |    2 
 tests/testthat/test_cognitoidentityprovider.R                   |    2 
 tests/testthat/test_cognitosync.R                               |    4 
 tests/testthat/test_detective.R                                 |    8 
 tests/testthat/test_directoryservice.R                          |    8 
 tests/testthat/test_fms.R                                       |    2 
 tests/testthat/test_guardduty.R                                 |   41 
 tests/testthat/test_iam.R                                       |   19 
 tests/testthat/test_iamrolesanywhere.R                          |    6 
 tests/testthat/test_identitystore.R                             |   10 
 tests/testthat/test_inspector.R                                 |    9 
 tests/testthat/test_inspector2.R                                |   25 
 tests/testthat/test_kms.R                                       |    6 
 tests/testthat/test_macie2.R                                    |   16 
 tests/testthat/test_pcaconnectorad.R                            |    6 
 tests/testthat/test_ram.R                                       |    7 
 tests/testthat/test_secretsmanager.R                            |    4 
 tests/testthat/test_securityhub.R                               |   57 
 tests/testthat/test_securitylake.R                              |    6 
 tests/testthat/test_shield.R                                    |    7 
 tests/testthat/test_sso.R                                       |    2 
 tests/testthat/test_ssoadmin.R                                  |    6 
 tests/testthat/test_ssooidc.R                                   |    2 
 tests/testthat/test_sts.R                                       |    2 
 tests/testthat/test_verifiedpermissions.R                       |    4 
 tests/testthat/test_waf.R                                       |   15 
 tests/testthat/test_wafregional.R                               |   15 
 tests/testthat/test_wafv2.R                                     |    2 
 331 files changed, 11874 insertions(+), 8867 deletions(-)

More information about paws.security.identity at CRAN
Permanent link

Package paws.machine.learning updated to version 0.11.0 with previous version 0.10.0 dated 2026-05-30

Title: 'Amazon Web Services' Machine Learning Services
Description: Interface to 'Amazon Web Services' machine learning services, including 'SageMaker' managed machine learning service, natural language processing, speech recognition, translation, and more <https://aws.amazon.com/machine-learning/>.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.machine.learning versions 0.10.0 dated 2026-05-30 and 0.11.0 dated 2026-10-08

 paws.machine.learning-0.10.0/paws.machine.learning/R/panorama_interfaces.R                                             |only
 paws.machine.learning-0.10.0/paws.machine.learning/R/panorama_operations.R                                             |only
 paws.machine.learning-0.10.0/paws.machine.learning/R/panorama_service.R                                                |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama.Rd                                                     |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_create_application_instance.Rd                         |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_create_job_for_devices.Rd                              |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_create_node_from_template_job.Rd                       |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_create_package.Rd                                      |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_create_package_import_job.Rd                           |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_delete_device.Rd                                       |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_delete_package.Rd                                      |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_deregister_package_version.Rd                          |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_application_instance.Rd                       |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_application_instance_details.Rd               |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_device.Rd                                     |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_device_job.Rd                                 |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_node.Rd                                       |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_node_from_template_job.Rd                     |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_package.Rd                                    |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_package_import_job.Rd                         |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_describe_package_version.Rd                            |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_application_instance_dependencies.Rd              |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_application_instance_node_instances.Rd            |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_application_instances.Rd                          |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_devices.Rd                                        |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_devices_jobs.Rd                                   |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_node_from_template_jobs.Rd                        |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_nodes.Rd                                          |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_package_import_jobs.Rd                            |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_packages.Rd                                       |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_list_tags_for_resource.Rd                              |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_provision_device.Rd                                    |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_register_package_version.Rd                            |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_remove_application_instance.Rd                         |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_signal_application_instance_node_instances.Rd          |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_tag_resource.Rd                                        |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_untag_resource.Rd                                      |only
 paws.machine.learning-0.10.0/paws.machine.learning/man/panorama_update_device_metadata.Rd                              |only
 paws.machine.learning-0.10.0/paws.machine.learning/tests/testthat/test_panorama.R                                      |only
 paws.machine.learning-0.11.0/paws.machine.learning/DESCRIPTION                                                         |   18 
 paws.machine.learning-0.11.0/paws.machine.learning/MD5                                                                 |  643 +-
 paws.machine.learning-0.11.0/paws.machine.learning/NAMESPACE                                                           |   37 
 paws.machine.learning-0.11.0/paws.machine.learning/R/augmentedairuntime_interfaces.R                                   |   30 
 paws.machine.learning-0.11.0/paws.machine.learning/R/augmentedairuntime_operations.R                                   |   15 
 paws.machine.learning-0.11.0/paws.machine.learning/R/augmentedairuntime_service.R                                      |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrock_interfaces.R                                              |  656 +-
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrock_operations.R                                              |  443 +
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrock_service.R                                                 |   16 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagent_interfaces.R                                         |  502 --
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagent_operations.R                                         |  500 +-
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagent_service.R                                            |   15 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcore_interfaces.R                                     |  410 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcore_operations.R                                     |  338 +
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcore_service.R                                        |    6 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcorecontrol_interfaces.R                              | 1122 ++--
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcorecontrol_operations.R                              | 1506 +++++-
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentcorecontrol_service.R                                 |   48 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentruntime_interfaces.R                                  |  226 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentruntime_operations.R                                  |  260 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockagentruntime_service.R                                     |   14 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomation_interfaces.R                                |  162 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomation_operations.R                                |   81 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomation_service.R                                   |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomationruntime_interfaces.R                         |   36 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomationruntime_operations.R                         |   18 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockdataautomationruntime_service.R                            |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockruntime_interfaces.R                                       |   70 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockruntime_operations.R                                       |   63 
 paws.machine.learning-0.11.0/paws.machine.learning/R/bedrockruntime_service.R                                          |    5 
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehend_interfaces.R                                           |  510 --
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehend_operations.R                                           |  255 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehend_service.R                                              |    6 
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehendmedical_interfaces.R                                    |  156 
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehendmedical_operations.R                                    |   78 
 paws.machine.learning-0.11.0/paws.machine.learning/R/comprehendmedical_service.R                                       |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastqueryservice_interfaces.R                                 |   12 
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastqueryservice_operations.R                                 |    6 
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastqueryservice_service.R                                    |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastservice_interfaces.R                                      |  330 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastservice_operations.R                                      |  189 
 paws.machine.learning-0.11.0/paws.machine.learning/R/forecastservice_service.R                                         |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/frauddetector_interfaces.R                                        |  435 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/frauddetector_operations.R                                        |  219 
 paws.machine.learning-0.11.0/paws.machine.learning/R/frauddetector_service.R                                           |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelbuildingservice_interfaces.R                              |  225 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelbuildingservice_operations.R                              |  126 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelbuildingservice_service.R                                 |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelsv2_interfaces.R                                          |  630 --
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelsv2_operations.R                                          |  333 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexmodelsv2_service.R                                             |   32 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimeservice_interfaces.R                                    |   30 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimeservice_operations.R                                    |   15 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimeservice_service.R                                       |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimev2_interfaces.R                                         |   36 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimev2_operations.R                                         |   18 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lexruntimev2_service.R                                            |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lookoutequipment_interfaces.R                                     |  261 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/lookoutequipment_operations.R                                     |  147 
 paws.machine.learning-0.11.0/paws.machine.learning/R/lookoutequipment_service.R                                        |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/machinelearning_interfaces.R                                      |  168 
 paws.machine.learning-0.11.0/paws.machine.learning/R/machinelearning_operations.R                                      |   84 
 paws.machine.learning-0.11.0/paws.machine.learning/R/machinelearning_service.R                                         |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalize_interfaces.R                                          |  396 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalize_operations.R                                          |  213 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalize_service.R                                             |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeevents_interfaces.R                                    |   15 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeevents_operations.R                                    |   15 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeevents_service.R                                       |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeruntime_interfaces.R                                   |   18 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeruntime_operations.R                                   |    9 
 paws.machine.learning-0.11.0/paws.machine.learning/R/personalizeruntime_service.R                                      |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/polly_interfaces.R                                                |   60 
 paws.machine.learning-0.11.0/paws.machine.learning/R/polly_operations.R                                                |   30 
 paws.machine.learning-0.11.0/paws.machine.learning/R/polly_service.R                                                   |    6 
 paws.machine.learning-0.11.0/paws.machine.learning/R/rekognition_interfaces.R                                          |  450 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/rekognition_operations.R                                          |  279 -
 paws.machine.learning-0.11.0/paws.machine.learning/R/rekognition_service.R                                             |   50 
 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemaker_interfaces.R                                            | 2270 +++-------
 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemaker_operations.R                                            | 1538 ++++--
 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemaker_service.R                                               |   12 
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 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemakerfeaturestoreruntime_service.R                            |    9 
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 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemakermetrics_service.R                                        |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemakerruntime_interfaces.R                                     |   18 
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 paws.machine.learning-0.11.0/paws.machine.learning/R/sagemakerruntime_service.R                                        |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/R/sysdata.rda                                                       |only
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 paws.machine.learning-0.11.0/paws.machine.learning/R/translate_interfaces.R                                            |  111 
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 paws.machine.learning-0.11.0/paws.machine.learning/R/voiceid_service.R                                                 |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/augmentedairuntime.Rd                                           |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/bedrock.Rd                                                      |   16 
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 paws.machine.learning-0.11.0/paws.machine.learning/man/comprehend.Rd                                                   |    4 
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 paws.machine.learning-0.11.0/paws.machine.learning/man/lexruntimev2.Rd                                                 |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/lookoutequipment.Rd                                             |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/machinelearning.Rd                                              |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/personalize.Rd                                                  |    4 
 paws.machine.learning-0.11.0/paws.machine.learning/man/personalizeevents.Rd                                            |    4 
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 paws.machine.learning-0.11.0/paws.machine.learning/man/polly.Rd                                                        |    4 
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Package lavaan updated to version 0.7-3 with previous version 0.7-2 dated 2026-07-16

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre] , Terrence D. Jorgensen [aut] , Luc De Wilde [aut], Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsika [...truncated...]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

Diff between lavaan versions 0.7-2 dated 2026-07-16 and 0.7-3 dated 2026-10-08

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 lavaan-0.7-3/lavaan/DESCRIPTION                           |   10 
 lavaan-0.7-3/lavaan/MD5                                   |  320 +-
 lavaan-0.7-3/lavaan/NAMESPACE                             |    4 
 lavaan-0.7-3/lavaan/R/00class.R                           |    3 
 lavaan-0.7-3/lavaan/R/00generic.R                         |   91 
 lavaan-0.7-3/lavaan/R/lav_bootstrap.R                     |    8 
 lavaan-0.7-3/lavaan/R/lav_bvmix.R                         |   85 
 lavaan-0.7-3/lavaan/R/lav_bvreg.R                         |   64 
 lavaan-0.7-3/lavaan/R/lav_cfa_bentler1982.R               |    2 
 lavaan-0.7-3/lavaan/R/lav_cfa_fabin.R                     |   10 
 lavaan-0.7-3/lavaan/R/lav_cfa_guttman1952.R               | 1656 ++++++++++++--
 lavaan-0.7-3/lavaan/R/lav_constraints.R                   |  169 +
 lavaan-0.7-3/lavaan/R/lav_cor.R                           |  136 -
 lavaan-0.7-3/lavaan/R/lav_data.R                          |   69 
 lavaan-0.7-3/lavaan/R/lav_data_simulate.R                 |   24 
 lavaan-0.7-3/lavaan/R/lav_efa_print.R                     |    4 
 lavaan-0.7-3/lavaan/R/lav_effects.R                       |   10 
 lavaan-0.7-3/lavaan/R/lav_fit_by_level.R                  |   36 
 lavaan-0.7-3/lavaan/R/lav_fit_gfi.R                       |    9 
 lavaan-0.7-3/lavaan/R/lav_fit_measures.R                  |  232 +
 lavaan-0.7-3/lavaan/R/lav_fit_rmsea.R                     |    5 
 lavaan-0.7-3/lavaan/R/lav_fit_utils.R                     |    1 
 lavaan-0.7-3/lavaan/R/lav_h1_implied.R                    |   19 
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 lavaan-0.7-3/lavaan/R/lav_lavaanList_simulate.R           |    4 
 lavaan-0.7-3/lavaan/R/lav_lavaan_step00_init.R            |   47 
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 lavaan-0.7-3/lavaan/R/lav_lavaan_step02_options.R         |   66 
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 lavaan-0.7-3/lavaan/R/lav_lavaan_step05_samplestats.R     |   11 
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 lavaan-0.7-3/lavaan/R/lav_matrix.R                        |   82 
 lavaan-0.7-3/lavaan/R/lav_matrix_rotate.R                 |  269 +-
 lavaan-0.7-3/lavaan/R/lav_model.R                         |   55 
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 lavaan-0.7-3/lavaan/R/lav_model_wls.R                     |   25 
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 lavaan-0.7-3/lavaan/R/lav_muthen1984.R                    |  234 +
 lavaan-0.7-3/lavaan/R/lav_mvnorm_cluster.R                |  270 +-
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 lavaan-0.7-3/lavaan/R/lav_options_mimic.R                 |   22 
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 lavaan-0.7-3/lavaan/R/lav_partable_utils.R                |   54 
 lavaan-0.7-3/lavaan/R/lav_partable_vnames.R               |    6 
 lavaan-0.7-3/lavaan/R/lav_pml_utils.R                     |    7 
 lavaan-0.7-3/lavaan/R/lav_predict.R                       |  251 +-
 lavaan-0.7-3/lavaan/R/lav_predict_mdist.R                 |    4 
 lavaan-0.7-3/lavaan/R/lav_predict_y.R                     |   12 
 lavaan-0.7-3/lavaan/R/lav_print.R                         |  290 +-
 lavaan-0.7-3/lavaan/R/lav_representation_lisrel.R         |  331 ++
 lavaan-0.7-3/lavaan/R/lav_representation_ram.R            |   33 
 lavaan-0.7-3/lavaan/R/lav_rescale.R                       |only
 lavaan-0.7-3/lavaan/R/lav_residuals.R                     |   27 
 lavaan-0.7-3/lavaan/R/lav_sam_step0.R                     |  132 -
 lavaan-0.7-3/lavaan/R/lav_sam_step1.R                     |   96 
 lavaan-0.7-3/lavaan/R/lav_sam_step1_local.R               |  737 +++++-
 lavaan-0.7-3/lavaan/R/lav_sam_step2.R                     |  195 +
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 lavaan-0.7-3/lavaan/R/lav_sam_utils.R                     |  855 ++++++-
 lavaan-0.7-3/lavaan/R/lav_samplestats.R                   |  449 +++
 lavaan-0.7-3/lavaan/R/lav_samplestats_gamma.R             |  604 +++--
 lavaan-0.7-3/lavaan/R/lav_samplestats_gamma_recipe.R      |   26 
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 lavaan-0.7-3/lavaan/R/lav_standardize.R                   |    6 
 lavaan-0.7-3/lavaan/R/lav_start.R                         |  111 
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 lavaan-0.7-3/lavaan/R/lav_test.R                          |   65 
 lavaan-0.7-3/lavaan/R/lav_test_LRT.R                      |  224 +
 lavaan-0.7-3/lavaan/R/lav_test_browne.R                   |  120 -
 lavaan-0.7-3/lavaan/R/lav_test_fmg.R                      |    4 
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 lavaan-0.7-3/lavaan/R/xxx_efa.R                           |    9 
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 lavaan-0.7-3/lavaan/R/xxx_sam.R                           |  340 ++
 lavaan-0.7-3/lavaan/README.md                             |   14 
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New package KeyNubLicDongle with initial version 1.1.1
Package: KeyNubLicDongle
Title: Client for the 'KeyNub' USB License Dongle
Version: 1.1.1
Description: Verifies that a 'KeyNub' USB license dongle is genuine, reads and writes the license records it holds, reads and increments its monotonic counters, and encrypts data so that only a dongle can decrypt it. The work is done by the vendor's native library, which the package loads at run time; the package installs without it and reports where it looked. Runs on Windows, Linux and macOS.
License: Apache License (== 2.0)
URL: https://www.keynub.com/developers/r/, https://github.com/AB-KeyNub/KeyNub-SDK
BugReports: https://github.com/AB-KeyNub/KeyNub-SDK/issues
SystemRequirements: the KeyNub License Dongle native library (keynub_licdongle) for the platform, see https://github.com/AB-KeyNub/KeyNub-SDK/blob/master/NATIVES.md
Encoding: UTF-8
Depends: R (>= 4.0)
NeedsCompilation: yes
Packaged: 2026-09-28 08:58:49 UTC; a-bre
Author: Andreas Breitschopp [aut, cre], KeyNub [cph]
Maintainer: Andreas Breitschopp <info@keynub.com>
Repository: CRAN
Date/Publication: 2026-10-08 10:10:06 UTC

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Package invasible updated to version 1.0.0 with previous version 0.1.1 dated 2026-08-05

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>

Diff between invasible versions 0.1.1 dated 2026-08-05 and 1.0.0 dated 2026-10-08

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Package hypergeo updated to version 1.2-15 with previous version 1.2-14 dated 2025-03-24

Title: The Gauss Hypergeometric Function
Description: The Gaussian hypergeometric function for complex numbers.
Author: Robin K. S. Hankin [aut, cre] , Richard D. Morey [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between hypergeo versions 1.2-14 dated 2025-03-24 and 1.2-15 dated 2026-10-08

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New package heterogeneouspeereffects with initial version 0.1.0
Package: heterogeneouspeereffects
Title: Heterogeneous Peer Effect
Version: 0.1.0
Description: Heterogeneous Peer Effect Package provides two-step Generalized Method of Moments (GMM) estimators for heterogeneous peer effects in group-level treatment models developed by Pasquier, Rossi and Wang (2026) <https://crest.science/wp-content/uploads/2026/09/2026-11.pdf>. The package separates the direct effect of treatment from within-group and between-group spillover effects, using a cross-fitted, semiparametric approach that leaves the propensity score unspecified and estimates it nonparametrically. Two identification settings are implemented: one in which eligibility for treatment coincides with group identity, and one in which identity is orthogonal to eligibility, allowing peer effects to differ across subgroups (e.g. by gender). Point estimates, standard errors, and test statistics are returned for the direct effect and for each within- and between-group peer effect.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, purrr, flextable, caret, MASS, mvtnorm
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Author: Felix Pasquier [aut], Laurine Meier [aut, cre], Pauline Rossi [aut]
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 10:09:17 UTC; laurinemeier
Maintainer: Laurine Meier <laurine.meier@ensae.fr>
URL: https://github.com/LaurineMir/heterogeneouspeereffects
BugReports: https://github.com/LaurineMir/heterogeneouspeereffects/issues
Repository: CRAN
Date/Publication: 2026-10-08 10:20:14 UTC

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Package ggsql updated to version 0.5.2 with previous version 0.3.3 dated 2026-06-03

Title: Grammar of Graphics for SQL
Description: Allows you to write queries that combine SQL (Structured Query Language) data retrieval with visualization specifications in a single, composable syntax. The 'ggsql' package binds directly with the 'ggsql' 'Rust' library and allows you to set up readers and writers and execute queries against it. The package also offers 'knitr' and 'shiny' integration allowing the user to use 'ggsql' in both frameworks.
Author: Thomas Lin Pedersen [aut, cre] , George Stagg [aut] , Teun van den Brand [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ggsql versions 0.3.3 dated 2026-06-03 and 0.5.2 dated 2026-10-08

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Package exams updated to version 2.4-5 with previous version 2.4-4 dated 2026-07-31

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2, QTI 2.1, Blackboard, Canvas, OpenOlat, ILIAS, TestVision, Particify, ARSnova, Kahoot!, Grasple, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre] , Bettina Gruen [aut] , Friedrich Leisch [aut] , Nikolaus Umlauf [aut] , Niels Smits [aut] , Dominik Ernst [ctb] , Patrik Keller [ctb], Reto Stauffer [ctb] , Kenji Sato [ctb] , Florian Wickelmaier [ctb], Sebastian Bachler [ct [...truncated...]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between exams versions 2.4-4 dated 2026-07-31 and 2.4-5 dated 2026-10-08

 DESCRIPTION         |   12 +++++-------
 MD5                 |   21 +++++++++++----------
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 12 files changed, 52 insertions(+), 26 deletions(-)

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New package ET0TempModels with initial version 1.0.0
Package: ET0TempModels
Title: Evapotranspiration Estimation Using Temperature-Based Models
Version: 1.0.0
Description: Provides functions to estimate daily reference evapotranspiration (ET0) using 10 temperature-based empirical models, with the Food and Agriculture Organization (FAO) Penman-Monteith method included as the standard reference for model comparison. Includes statistical evaluation metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE), and visualization tools (scatter plots and Taylor diagrams). Based on Singh et al. (2026) <doi:10.1016/j.ejrh.2026.103925>.
License: GPL (>= 3)
URL: https://github.com/samirigfri/ET0TempModels
BugReports: https://github.com/samirigfri/ET0TempModels/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-28 11:03:32 UTC; usr
Author: Ajay N. Satpute [aut], Samir Barman [aut, cre] , Amit Kumar Singh [aut], Avijit Ghosh [aut], Gaurendra Gupta [aut]
Maintainer: Samir Barman <samir.igfri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 10:20:19 UTC

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New package citesperu with initial version 0.1.0
Package: citesperu
Title: Peruvian Species Checklists from CITES Publications
Version: 0.1.0
Description: Provides tools and official datasets for working with Peruvian fauna and flora checklists published by the Ministry of the Environment (MINAM) under the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Includes official datasets for fauna (2018, 2019, 2023) and flora (2018), with tools for reproducible data preparation, checklist queries, scientific name matching and summaries by appendix and taxonomic group.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/PaulESantos/citesperu, https://paulesantos.github.io/citesperu/
BugReports: https://github.com/PaulESantos/citesperu/issues
Depends: R (>= 3.5)
Imports: cli, dplyr, tibble
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-28 02:43:15 UTC; PC
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 09:40:09 UTC

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New package BoxDensityPlot with initial version 0.1.0
Package: BoxDensityPlot
Title: Multi-Trait Density and Boxplot Visualization
Version: 0.1.0
Description: Reads wide-format phenotypic data (one row per genotype or sample, one column per trait) from CSV or 'Excel' files, reshapes it to long format, and produces faceted figures that combine a mirrored density curve with a boxplot for each trait. Density curves can be drawn on the left, right, or both sides of the box, and figures can be saved automatically at publication resolution.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), tidyr (>= 1.3.0), rlang, readxl, stats, utils, grid, tools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-28 11:44:21 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Paritosh Kumar ICAR-NIASM [aut], Amrit Kumar Paul [aut]
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-08 10:40:26 UTC

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New package ardea with initial version 0.0.9
Package: ardea
Title: Infrastructure for Interacting with GPUs
Version: 0.0.9
Description: Compiling, managing, and dispatching functions to GPUs. Will compile tooling for successfully detected frameworks, currently limited to: 'OpenCL' (<https://www.khronos.org/opencl/resources>), 'CUDA' (<https://docs.nvidia.com/cuda/>), and 'Metal' (<https://developer.apple.com/documentation/metal>).
Imports: methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
SystemRequirements: OpenCL, GNU make
Depends: R (>= 4.5.0)
OS_type: unix
NeedsCompilation: yes
ByteCompile: true
Encoding: UTF-8
Author: Nicholas Cooley [aut, cre]
Maintainer: Nicholas Cooley <npcooley@gmail.com>
URL: https://github.com/npcooley/ardea
BugReports: https://github.com/npcooley/ardea/issues
Packaged: 2026-09-28 12:01:41 UTC; nicholascooley
Repository: CRAN
Date/Publication: 2026-10-08 10:50:02 UTC

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Package admtools updated to version 0.7.0 with previous version 0.6.0 dated 2025-05-20

Title: Estimate and Manipulate Age-Depth Models
Description: Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.
Author: Niklas Hohmann [aut] , Emilia Jarochowska [cre]
Maintainer: Emilia Jarochowska <e.jarochowska@uni-muenster.de>

Diff between admtools versions 0.6.0 dated 2025-05-20 and 0.7.0 dated 2026-10-08

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Package AV1R (with last version 0.1.3) was removed from CRAN

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

2026-03-23 0.1.3
2026-03-05 0.1.2

Permanent link
Package rfPermute updated to version 2.5.6 with previous version 2.5.5 dated 2025-06-10

Title: Estimate Permutation p-Values for Random Forest Importance Metrics
Description: Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results.
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>

Diff between rfPermute versions 2.5.5 dated 2025-06-10 and 2.5.6 dated 2026-10-08

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Package jgd updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-27

Title: JSON Graphics Device
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

Diff between jgd versions 0.2.0 dated 2026-09-27 and 0.2.1 dated 2026-10-08

 DESCRIPTION                         |    7 +-
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Package healthyR.data updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-12

Title: Data Only Package to 'healthyR'
Description: Provides data for functions typically used in the 'healthyR' package.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.data versions 1.2.0 dated 2025-01-12 and 1.2.1 dated 2026-10-08

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 28 files changed, 748 insertions(+), 433 deletions(-)

More information about healthyR.data at CRAN
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Package fuj updated to version 0.3.0 with previous version 0.2.2 dated 2025-04-23

Title: Functions and Utilities for Jordan
Description: Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

Diff between fuj versions 0.2.2 dated 2025-04-23 and 0.3.0 dated 2026-10-08

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More information about fuj at CRAN
Permanent link

Package colorspace updated to version 2.1-4 with previous version 2.1-3 dated 2026-07-12

Title: A Toolbox for Manipulating and Assessing Colors and Palettes
Description: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at <https://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, <doi:10.18637/ [...truncated...]
Author: Ross Ihaka [aut], Paul Murrell [aut] , Kurt Hornik [aut] , Jason C. Fisher [aut] , Reto Stauffer [aut] , Claus O. Wilke [aut] , Claire D. McWhite [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between colorspace versions 2.1-3 dated 2026-07-12 and 2.1-4 dated 2026-10-08

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More information about colorspace at CRAN
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Package piecemeal updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-11

Title: Wrangle Large Simulation Studies
Description: An 'R6' class to set up, run, monitor, collate, and debug large simulation studies comprising many small independent replications and treatment configurations. Parallel processing, reproducibility, fault- and error-tolerance, and ability to resume an interrupted or timed-out simulation study are built in.
Author: Pavel N. Krivitsky [aut, cre]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between piecemeal versions 0.2.0 dated 2026-03-11 and 0.3.0 dated 2026-10-08

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More information about piecemeal at CRAN
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Package DDIwR updated to version 0.22 with previous version 0.21 dated 2026-09-12

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R and Excel, including user declared missing values.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between DDIwR versions 0.21 dated 2026-09-12 and 0.22 dated 2026-10-08

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More information about DDIwR at CRAN
Permanent link

Package metR updated to version 0.19.0 with previous version 0.18.3 dated 2025-12-09

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

Diff between metR versions 0.18.3 dated 2025-12-09 and 0.19.0 dated 2026-10-08

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 125 files changed, 9654 insertions(+), 7399 deletions(-)

More information about metR at CRAN
Permanent link


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