Sun, 02 Aug 2026

Package tubern updated to version 0.5.1 with previous version 0.5.0 dated 2026-04-12

Title: R Client for the YouTube Analytics and Reporting API
Description: Provides access to YouTube Analytics API v2 for retrieving YouTube Analytics data including views, engagement metrics, demographics, and revenue data. Supports OAuth 2.0 authentication and channel group management. See <https://developers.google.com/youtube/analytics/> for API documentation.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tubern versions 0.5.0 dated 2026-04-12 and 0.5.1 dated 2026-08-02

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More information about tubern at CRAN
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Package ravel updated to version 0.1.4 with previous version 0.1.2 dated 2026-06-28

Title: AI Copilot for R Analysis Workflows in 'RStudio'
Description: An AI copilot for R users in 'RStudio' and Posit workflows with active-editor, workspace, object, console, plot, and git-aware context. Provides statistical helpers for interpreting lm() and glm() models, stages code and file actions before execution, drafts reproducible 'Quarto' content, and connects to official provider APIs or CLIs for 'OpenAI', 'GitHub Copilot', 'Gemini', and 'Anthropic'.
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>

Diff between ravel versions 0.1.2 dated 2026-06-28 and 0.1.4 dated 2026-08-02

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Package guess updated to version 0.7.0 with previous version 0.3.0 dated 2026-03-31

Title: Adjust Estimates of Learning for Guessing
Description: Provides tools to adjust estimates of learning for guessing-related bias in educational and survey research. Implements standard guessing correction methods and latent class models that leverage informative pre-post test transitions to account for guessing behavior. The package helps researchers obtain more accurate estimates of actual learning when respondents may guess on closed-ended knowledge items. For theoretical background and empirical validation, see Cor and Sood (2016) <https://gsood.com/research/papers/guess.pdf>.
Author: Gaurav Sood [aut, cre], Ken Cor [aut]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between guess versions 0.3.0 dated 2026-03-31 and 0.7.0 dated 2026-08-02

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More information about guess at CRAN
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Package tuber updated to version 1.4.1 with previous version 1.4.0 dated 2026-03-24

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre], Kate Lyons [ctb], John Muschelli [ctb]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 1.4.0 dated 2026-03-24 and 1.4.1 dated 2026-08-02

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Package shinyglass updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-28

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Light and dark presets are included, with options for accent color, blur, and corner radius.
Author: Eric Anderson [aut, cre]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

Diff between shinyglass versions 0.1.0 dated 2026-07-28 and 0.1.1 dated 2026-08-02

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Package PeerPerformance updated to version 2.4.0 with previous version 2.3.2 dated 2025-08-18

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

Diff between PeerPerformance versions 2.3.2 dated 2025-08-18 and 2.4.0 dated 2026-08-02

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Package sca updated to version 0.9-3 with previous version 0.9-2 dated 2024-02-02

Title: Simple Component Analysis
Description: Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
Author: Valentin Rousson [aut], Martin Maechler [aut, cre]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sca versions 0.9-2 dated 2024-02-02 and 0.9-3 dated 2026-08-02

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Package triageR updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-29

Title: Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling
Description: Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 <doi:10.1136/bmj-2023-078378>)) for reproducible, guideline-aligned research.
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

Diff between triageR versions 0.1.0 dated 2026-07-29 and 0.1.1 dated 2026-08-02

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More information about triageR at CRAN
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Package obr updated to version 0.6.0 with previous version 0.5.1 dated 2026-07-27

Title: Access 'Office for Budget Responsibility' Data
Description: Provides clean, tidy access to data published by the 'Office for Budget Responsibility' ('OBR'), the UK's independent fiscal watchdog. Covers the Public Finances Databank (outturn for PSNB, PSND, receipts, and expenditure since 1946), the Historical Official Forecasts Database (every 'OBR' forecast since 2010), the Economic and Fiscal Outlook detailed forecast tables (five-year projections from the latest Budget), the monthly profiles for the public finances (the 'OBR' forecast apportioned across the months of the fiscal year), the Welfare Trends Report (incapacity benefit spending and caseloads), and the Fiscal Risks and Sustainability Report (50-year state pension projections). All returned objects carry provenance metadata recording the source URL, publication vintage, retrieval time, and file fingerprint, so analyses can be audited and reproduced. Data is downloaded from the 'OBR' on first use and cached locally for subsequent calls. Data is sourced from the 'OBR' website <https [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package ipwCoxCSV updated to version 1.1 with previous version 1.0 dated 2019-10-09

Title: Corrected Sandwich Inference for Inverse Probability Weighted Cox Models
Description: An implementation of the corrected sandwich variance (CSV) method for inverse probability weighted (IPW) Cox models described in Shu et al (2021) <doi:10.1111/biom.13332>. The method accounts for the uncertainty in estimating propensity score weights to improve variance and confidence interval estimation for adjusted marginal hazard ratios (HRs) in observational and randomized studies. The package supports estimation of the average treatment effect (ATE) using conventional and stabilized ATE weights, and the average treatment effect in the treated (ATT) using ATT weights, for both independent and clustered data. Propensity scores are estimated using logistic regression.
Author: Di Shu [aut, cre], Rui Wang [aut]
Maintainer: Di Shu <shudi1991@gmail.com>

Diff between ipwCoxCSV versions 1.0 dated 2019-10-09 and 1.1 dated 2026-08-02

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Package FunctionalCalibration updated to version 2.0.0 with previous version 1.0.0 dated 2025-06-19

Title: Aggregated Functional Data Calibration using Splines and Wavelets
Description: Implements methods for calibrating an aggregated functional data model using wavelets or splines. Each aggregated curve is modeled as a linear combination of component functions and known weights. The component functions are estimated using wavelets or splines. The package is based on dos Santos Sousa (2024) <doi:10.1515/mcma-2023-2016>, Saraiva and Dias (2009) <doi:10.47749/T/UNICAMP.2009.471073> and Johnstone and Silverman (1997) <doi:10.1111/1467-9868.00071>.
Author: Vitor Perrone [aut, cre] , Alex Sousa [aut]
Maintainer: Vitor Perrone <vitor.perrone10@gmail.com>

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Package DEmixR updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-27

Title: Fit Two-Component Normal and Lognormal Mixture Models
Description: Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Parameters are estimated by combining differential-evolution global optimization, as implemented in the 'DEoptim' package (Mullen, Ardia, Gil, Windover and Cline, 2011) <doi:10.18637/jss.v040.i06>, with a local 'L-BFGS-B' refinement step via optim(). Also provides preliminary diagnostic plots, automatic normal-versus-lognormal model selection by information criteria, and parametric or nonparametric bootstrap confidence intervals for the fitted parameters.
Author: Farrokh Habibzadeh [aut, cre]
Maintainer: Farrokh Habibzadeh <farrokh.habibzadeh@gmail.com>

Diff between DEmixR versions 0.1.1 dated 2025-09-27 and 0.2.0 dated 2026-08-02

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Package binxr updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-18

Title: 'Binance' REST API Client
Description: Client for the 'Binance' <https://www.binance.com/> Spot, USD-M Futures, and Options REST APIs. Provides helper functions for signed and unsigned requests, market data retrieval, account access, and order management with 'data.table' output by default. COIN-M Futures, Portfolio Margin, WebSocket, SBE, and FIX APIs are not included.
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>

Diff between binxr versions 0.1.1 dated 2026-05-18 and 0.1.2 dated 2026-08-02

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Permanent link

New package TTE with initial version 1.1.1
Package: TTE
Title: Design and Analysis Tools for Target Trial Emulation
Version: 1.1.1
Date: 2026-07-23
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies.
Depends: R (>= 4.1.0)
Imports: graphics, nnet, sandwich, stats, utils
Suggests: testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-23 07:39:04 UTC; nomah
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-02 16:30:13 UTC

More information about TTE at CRAN
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New package mutator with initial version 0.2.1
Package: mutator
Title: Mutation Testing
Version: 0.2.1
Description: Performs mutation testing for 'R' packages to assess the effectiveness of a test suite. It mutates source files, runs package tests against each mutant, and reports which mutants were killed, survived, or timed out. Parallel execution is supported for larger code bases. The optional 'imputesrcref' package, available from <https://github.com/PRL-PRG/imputesrcref>, improves source locations when installed.
URL: https://github.com/PRL-PRG/mutator, https://prl-prg.github.io/mutator/
BugReports: https://github.com/PRL-PRG/mutator/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: jsonlite, httr, pkgload, testthat, future, furrr, callr, covr, R6
Suggests: xml2, pkgbuild, cli, pbmcapply, knitr, rmarkdown, tinytest
Enhances: imputesrcref
LinkingTo: testthat
VignetteBuilder: knitr
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-07-23 11:44:16 UTC; pierre
Author: Pierre Donat-Bouillud [aut, cre, cph] , Assanali Amandykov [aut, cph]
Maintainer: Pierre Donat-Bouillud <pierre.donat.bouillud@fit.cvut.cz>
Repository: CRAN
Date/Publication: 2026-08-02 16:30:02 UTC

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New package irid with initial version 0.3.0
Package: irid
Title: Component-Based 'Shiny' UI with Fine-Grained Reactivity
Version: 0.3.0
Description: A component-based reactive UI framework for 'Shiny' that binds reactive values directly to DOM attributes, enabling fine-grained updates without re-rendering or 'update*Input' callbacks.
License: MIT + file LICENSE
URL: https://irid.kylehusmann.com, https://github.com/khusmann/irid
BugReports: https://github.com/khusmann/irid/issues
Depends: R (>= 4.1.0)
Imports: cli, htmltools, rlang (>= 1.2.0), shiny
Suggests: bslib, callr, chromote, DT, ggplot2, httpuv, jsonlite, knitr, pkgload, plotly, purrr, rmarkdown, testthat (>= 3.0.0), tibble, vctrs, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-23 01:54:48 UTC; khusmann
Author: Kyle Husmann [aut, cre]
Maintainer: Kyle Husmann <irid@kylehusmann.com>
Repository: CRAN
Date/Publication: 2026-08-02 16:10:02 UTC

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New package Gofpt2 with initial version 0.1.0
Package: Gofpt2
Title: Generalized Goodness-of-Fit Test for Progressive Type-II Censored Data
Version: 0.1.0
Date: 2026-07-22
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements a generalized goodness-of-fit test based on spacings for general progressive Type-II censored data. The test statistic is based on the work of Qin et al. (2022) <doi:10.1080/02664763.2020.1821613> and extends the methodology of Balakrishnan et al. (2003) <doi:10.1007/978-1-4612-0103-8_8>. Users can test data against any distribution by providing custom pdf, cdf, and survival functions. The package supports both normal approximation and Monte Carlo simulation approaches for computing p-values and critical values.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-23 13:07:02 UTC; shikhar tyagi
Repository: CRAN
Date/Publication: 2026-08-02 16:40:02 UTC

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New package DMSTAr with initial version 0.1.1
Package: DMSTAr
Title: Dynamic Model for Stormwater Treatment Areas
Version: 0.1.1
Date: 2026-07-23
Maintainer: Paul Julian <pjulian@evergladesfoundation.org>
URL: https://github.com/SwampThingPaul/DMSTAr
BugReports: https://github.com/SwampThingPaul/DMSTAr/issues
Description: Performs treatment wetland modeling consistent with the original 'Excel' spreadsheet and VBA code version of DMSTA2 developed by Dr. Bill Walker <http://wwwalker.net/dmsta/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: stats, utils
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-23 11:45:54 UTC; PaulJulian
Author: Paul Julian [aut, cre]
Repository: CRAN
Date/Publication: 2026-08-02 16:30:18 UTC

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New package closecity with initial version 1.5.0
Package: closecity
Title: Client for the 'Close' API
Version: 1.5.0
Description: Access travel times from every US census block to nearby points of interest, by walking, biking, and public transit, over the 'Close' API. Wraps the metered, read-only public endpoints with keyset pagination, ETag/304 conditional requests, token accounting, typed RFC 9457 error handling, and tabular output by default ('sf' where geometry applies, a data frame otherwise).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://henryspatialanalysis.github.io/closecity-r/, https://github.com/henryspatialanalysis/closecity-r
BugReports: https://github.com/henryspatialanalysis/closecity-r/issues
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), jsonlite, R6, rlang, sf
Suggests: testthat (>= 3.0.0), withr, tigris, plotly, geojsonsf, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-23 09:57:55 UTC; nathenry
Author: Nathaniel Henry [aut, cre], Henry Spatial Analysis [aut, cph, fnd]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>
Repository: CRAN
Date/Publication: 2026-08-02 16:30:07 UTC

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Package SurvDisc updated to version 0.1.2 with previous version 0.1.1 dated 2018-05-06

Title: Discrete Time Survival and Longitudinal Data Analysis
Description: Various functions for discrete time survival analysis and longitudinal analysis. SIMEX method for correcting for bias for errors-in-variables in a mixed effects model. Asymptotic mean and variance of different proportional hazards test statistics using different ties methods given two survival curves and censoring distributions. Score test and Wald test for regression analysis of grouped survival data. Calculation of survival curves for events defined by the response variable in a mixed effects model crossing a threshold with or without confirmation.
Author: John Lawrence [aut, cre], Jianjin Xu [ctb], Sue Jane Wang [ctb], Jim Hung [ctb]
Maintainer: John Lawrence <john.lawrence@fda.hhs.gov>

Diff between SurvDisc versions 0.1.1 dated 2018-05-06 and 0.1.2 dated 2026-08-02

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Package FAfA updated to version 1.2 with previous version 1.1 dated 2026-05-03

Title: Factor Analysis for All
Description: Provides a comprehensive Shiny-based graphical user interface for conducting a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All) guides users through data uploading, assumption checking (descriptives, collinearity, multivariate normality, outliers), data wrangling (variable exclusion, data splitting), factor retention analysis (e.g., Parallel Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various rotation and extraction methods, Confirmatory Factor Analysis (CFA) for model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's Omega), Measurement Invariance testing across groups, and item weighting techniques. The application leverages established R packages such as 'lavaan' and 'psych' to perform these analyses, offering an accessible platform for researchers and students. Results are presented in user-friendly tables and plots, with options for downloading outputs. Analysis projects can be saved and restored, and reproducible R [...truncated...]
Author: Abdullah Faruk KILIC [aut, cre, cph], Ahmet Caliskan [aut, cph], Melissa G. Wolf [ctb, cph] , Daniel McNeish [ctb, cph]
Maintainer: Abdullah Faruk KILIC <afarukkilic@trakya.edu.tr>

Diff between FAfA versions 1.1 dated 2026-05-03 and 1.2 dated 2026-08-02

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Package openesm updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-06

Title: Access the Open Experience Sampling Method Database
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>

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Package aieconindex updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-01

Title: Access the 'Anthropic Economic Index' Dataset
Description: Provides clean, tidy access to the 'Anthropic Economic Index' (AEI) dataset hosted on 'Hugging Face' <https://huggingface.co/datasets/Anthropic/EconomicIndex>. The AEI is a recurring release from 'Anthropic' that maps usage of the 'Claude' family of large language models to occupations and tasks using the 'O*NET' taxonomy and the 'Standard Occupational Classification' system, following the methodology of Handa et al. (2025) <doi:10.48550/arXiv.2503.04761> and the privacy-preserving system 'Clio' of Tamkin et al. (2024) <doi:10.48550/arXiv.2412.13678>. Functions list available releases, fetch raw and enriched usage tables, retrieve task statements, request hierarchies, country-level breakdowns, and the standalone labor market impacts tables (job exposure and task penetration), compare two releases, join the index to user-supplied data on a shared key, and compute usage-concentration metrics (Herfindahl-Hirschman Index, top-N concentration ratios, Shannon entropy). Data [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package boe updated to version 0.4.0 with previous version 0.3.0 dated 2026-05-30

Title: Download Data from the 'Bank of England' Statistical Database
Description: Provides functions to download and tidy statistical data published by the 'Bank of England' <https://www.bankofengland.co.uk>. Covers Bank Rate, 'SONIA', gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the 'Bank of England Interactive Statistical Database' using its CSV endpoint. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package rdomains updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-13

Title: Get the Category of Content Hosted by a Domain
Description: Get the category of content hosted by a domain. Use Shallalist (service discontinued), 'VirusTotal' (which provides access to lots of services) <https://www.virustotal.com/>, 'DMOZ' <https://archive.org/details/dmoz-rdf-20150327>, University Domain list <https://github.com/Hipo/university-domains-list>, 'OpenAI' 'GPT' models, 'Anthropic' 'Claude' models, or validated machine learning classifiers based on 'Shallalist' data to learn about the kind of content hosted by a domain.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package readaec updated to version 0.2.0 with previous version 0.1.2 dated 2026-03-16

Title: Access Australian Electoral Commission Data
Description: Provides clean, tidy access to Australian Electoral Commission (AEC) federal election data. Includes results for the House of Representatives and Senate from 2007 onwards, at both division and polling place level, plus by-elections from 2008 onwards, the 2023 referendum, and the full distribution of preferences. Data is downloaded directly from the AEC <https://results.aec.gov.au> on first use and cached locally for subsequent calls.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package glydraw updated to version 0.8.0 with previous version 0.7.0 dated 2026-07-25

Title: Draw Beautiful Symbol Nomenclature for Glycans
Description: A 'ggplot2'-native plotting engine for drawing reproducible beautiful Symbol Nomenclature for Glycans (SNFG) glycan cartoons from glycan structure objects or text notations, with support for batch export, structural highlighting, and deep appearance customization. It follows the SNFG specification described at <https://www.ncbi.nlm.nih.gov/glycans/snfg.html>.
Author: Bin Fu [aut, cre, cph] , Xisong Feng [aut]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package tinyarray updated to version 3.0.0 with previous version 2.4.3 dated 2025-03-05

Title: Expression Data Analysis and Visualization
Description: A toolkit for microarray and RNA-seq data analysis, including annotation conversion, differential expression, enrichment, survival analysis, and visualization.
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370@163.com>

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Package themis updated to version 1.1.0 with previous version 1.0.3 dated 2025-01-22

Title: Extra Recipes Steps for Dealing with Unbalanced Data
Description: A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976.
Author: Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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 themis-1.1.0/themis/tests/testthat/_snaps/smogn.md                  |only
 themis-1.1.0/themis/tests/testthat/_snaps/smogn_impl.md             |only
 themis-1.1.0/themis/tests/testthat/_snaps/smote.md                  |  119 +
 themis-1.1.0/themis/tests/testthat/_snaps/smote_impl.md             |   25 
 themis-1.1.0/themis/tests/testthat/_snaps/smoten.md                 |only
 themis-1.1.0/themis/tests/testthat/_snaps/smoten_impl.md            |only
 themis-1.1.0/themis/tests/testthat/_snaps/smotenc.md                |   80 +
 themis-1.1.0/themis/tests/testthat/_snaps/svmsmote.md               |only
 themis-1.1.0/themis/tests/testthat/_snaps/svmsmote_impl.md          |only
 themis-1.1.0/themis/tests/testthat/_snaps/tomek.md                  |   44 
 themis-1.1.0/themis/tests/testthat/_snaps/tomek_impl.md             |   16 
 themis-1.1.0/themis/tests/testthat/_snaps/upsample.md               |   86 +
 themis-1.1.0/themis/tests/testthat/test-S3-methods.R                |   39 
 themis-1.1.0/themis/tests/testthat/test-adasyn.R                    |  380 ++++-
 themis-1.1.0/themis/tests/testthat/test-adasyn_impl.R               |  136 +
 themis-1.1.0/themis/tests/testthat/test-bsmote.R                    |  524 +++++--
 themis-1.1.0/themis/tests/testthat/test-bsmote_impl.R               |  190 ++
 themis-1.1.0/themis/tests/testthat/test-cluster_centroids.R         |only
 themis-1.1.0/themis/tests/testthat/test-cluster_centroids_impl.R    |only
 themis-1.1.0/themis/tests/testthat/test-cnn.R                       |only
 themis-1.1.0/themis/tests/testthat/test-cnn_impl.R                  |only
 themis-1.1.0/themis/tests/testthat/test-downsample.R                |  405 ++++-
 themis-1.1.0/themis/tests/testthat/test-enn.R                       |only
 themis-1.1.0/themis/tests/testthat/test-enn_impl.R                  |only
 themis-1.1.0/themis/tests/testthat/test-instance_hardness.R         |only
 themis-1.1.0/themis/tests/testthat/test-instance_hardness_impl.R    |only
 themis-1.1.0/themis/tests/testthat/test-kmeans_smote.R              |only
 themis-1.1.0/themis/tests/testthat/test-kmeans_smote_impl.R         |only
 themis-1.1.0/themis/tests/testthat/test-misc.R                      |only
 themis-1.1.0/themis/tests/testthat/test-ncl.R                       |only
 themis-1.1.0/themis/tests/testthat/test-ncl_impl.R                  |only
 themis-1.1.0/themis/tests/testthat/test-nearmiss.R                  |  422 +++++-
 themis-1.1.0/themis/tests/testthat/test-nearmiss_impl.R             |  194 ++
 themis-1.1.0/themis/tests/testthat/test-oss.R                       |only
 themis-1.1.0/themis/tests/testthat/test-oss_impl.R                  |only
 themis-1.1.0/themis/tests/testthat/test-rose.R                      |  322 +++-
 themis-1.1.0/themis/tests/testthat/test-smogn.R                     |only
 themis-1.1.0/themis/tests/testthat/test-smogn_impl.R                |only
 themis-1.1.0/themis/tests/testthat/test-smote.R                     |  471 +++++-
 themis-1.1.0/themis/tests/testthat/test-smote_impl.R                |  150 ++
 themis-1.1.0/themis/tests/testthat/test-smoten.R                    |only
 themis-1.1.0/themis/tests/testthat/test-smoten_impl.R               |only
 themis-1.1.0/themis/tests/testthat/test-smotenc.R                   |  371 ++++-
 themis-1.1.0/themis/tests/testthat/test-smotenc_impl.R              |   52 
 themis-1.1.0/themis/tests/testthat/test-svmsmote.R                  |only
 themis-1.1.0/themis/tests/testthat/test-svmsmote_impl.R             |only
 themis-1.1.0/themis/tests/testthat/test-tomek.R                     |  204 ++
 themis-1.1.0/themis/tests/testthat/test-tomek_impl.R                |   48 
 themis-1.1.0/themis/tests/testthat/test-tunable.R                   |only
 themis-1.1.0/themis/tests/testthat/test-upsample.R                  |  445 +++++-
 168 files changed, 8534 insertions(+), 1867 deletions(-)

More information about themis at CRAN
Permanent link

Package misty updated to version 0.8.3 with previous version 0.8.2 dated 2026-05-16

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

Diff between misty versions 0.8.2 dated 2026-05-16 and 0.8.3 dated 2026-08-02

 DESCRIPTION                 |   15 
 MD5                         |  321 +-
 NAMESPACE                   |   19 
 NEWS.md                     |   64 
 R/aov.b.R                   |   14 
 R/aov.w.R                   |   28 
 R/blimp.R                   |   92 
 R/blimp.bayes.R             |   50 
 R/blimp.plot.R              |   80 
 R/blimp.print.R             |   11 
 R/blimp.run.R               |   12 
 R/blimp.update.R            |   92 
 R/boot.bs.R                 |   38 
 R/center.R                  |   70 
 R/check.collin.R            |   19 
 R/check.outlier.R           |   10 
 R/check.resid.R             |   67 
 R/chr.color.R               |   37 
 R/chr.grep.R                |   19 
 R/chr.omit.R                |   17 
 R/chr.trunc.R               |    4 
 R/ci.cor.R                  |   44 
 R/ci.mean.R                 |   84 
 R/ci.mean.diff.R            |   97 
 R/ci.mean.w.R               |   38 
 R/ci.prop.R                 |   48 
 R/ci.prop.diff.R            |  112 
 R/ci.var.R                  |   90 
 R/cluster.rwg.R             |   26 
 R/cluster.scores.R          |   44 
 R/coding.R                  |   44 
 R/coeff.robust.R            |   20 
 R/coeff.std.R               |   65 
 R/cohens.d.R                |  158 -
 R/cor.matrix.R              |  451 +--
 R/crosstab.R                |   59 
 R/data.R                    |only
 R/descript.R                |   38 
 R/df.check.R                |   16 
 R/df.duplicated.R           |   38 
 R/df.head.R                 |   44 
 R/df.long.R                 |   52 
 R/df.merge.R                |    2 
 R/df.move.R                 |    8 
 R/df.rename.R               |   12 
 R/df.subset.R               |   67 
 R/difftest.chibarsq.R       |   50 
 R/dominance.R               |   34 
 R/dominance.manual.R        |   32 
 R/effsize.R                 |   38 
 R/freq.R                    |   40 
 R/indirect.R                |   54 
 R/item.alpha.R              |  504 ++--
 R/item.cfa.R                | 1362 +++++++----
 R/item.dfi.R                |   69 
 R/item.distract.R           |only
 R/item.invar.R              | 1258 +++++++---
 R/item.noninvar.R           |   74 
 R/item.omega.R              |  297 +-
 R/item.reverse.R            |   92 
 R/item.scores.R             |  131 -
 R/item.stats.R              |only
 R/lagged.R                  |   48 
 R/libraries.R               |   84 
 R/modcomp.R                 |   43 
 R/mplus.R                   |   76 
 R/mplus.bayes.R             |   68 
 R/mplus.lca.R               |  102 
 R/mplus.lca.summa.R         |  112 
 R/mplus.plot.R              |  132 -
 R/mplus.print.R             |  244 +-
 R/mplus.update.R            |  106 
 R/multilevel.alpha.R        |only
 R/multilevel.cfa.R          | 1954 ++++++++++------
 R/multilevel.cor.R          |  499 ++--
 R/multilevel.descript.R     |  181 -
 R/multilevel.fit.R          |  965 ++------
 R/multilevel.icc.R          |   71 
 R/multilevel.indirect.R     |   16 
 R/multilevel.invar.R        | 1064 +++++----
 R/multilevel.omega.R        |  669 +++--
 R/multilevel.r2.R           |   78 
 R/multilevel.r2.manual.R    |  407 ---
 R/na.as.R                   |   23 
 R/na.auxiliary.R            |   60 
 R/na.coverage.R             |   12 
 R/na.descript.R             |   67 
 R/na.indicator.R            |   16 
 R/na.pattern.R              |   14 
 R/na.prop.R                 |    6 
 R/na.satcor.R               |   16 
 R/na.test.R                 |   28 
 R/plot.misty.object.R       |   70 
 R/print.misty.object.R      | 5126 +++++++++++++++++++++++++++-----------------
 R/read.data.R               |   18 
 R/read.dta.R                |   23 
 R/read.mplus.R              |   54 
 R/read.sav.R                |   23 
 R/read.xlsx.R               |    6 
 R/rec.R                     |   80 
 R/robust.lmer.R             |   27 
 R/script.copy.R             |   12 
 R/script.open.R             |    8 
 R/sim.lavaan.R              |    2 
 R/size.mean.R               |   58 
 R/skewness.R                |   58 
 R/summa.R                   |  119 -
 R/test.t.R                  |   26 
 R/test.welch.R              |   28 
 R/test.z.R                  |   24 
 R/uniq.R                    |    8 
 R/utils.R                   | 2897 +++++++++++++-----------
 R/write.data.R              |    6 
 R/write.mplus.R             |    8 
 R/write.result.R            | 1488 ++++++++----
 R/write.sav.R               |   22 
 R/write.xlsx.R              |    2 
 data                        |only
 man/boot.bs.Rd              |    6 
 man/center.Rd               |   36 
 man/chr.color.Rd            |   12 
 man/chr.omit.Rd             |    4 
 man/ci.cor.Rd               |    6 
 man/ci.mean.Rd              |    8 
 man/ci.mean.diff.Rd         |    6 
 man/ci.prop.Rd              |    6 
 man/ci.var.Rd               |    8 
 man/coeff.std.Rd            |    8 
 man/cohens.d.Rd             |    6 
 man/cor.matrix.Rd           |  142 -
 man/data.items.Rd           |only
 man/df.duplicated.Rd        |   30 
 man/df.long.Rd              |    4 
 man/df.subset.Rd            |   24 
 man/difftest.chibarsq.Rd    |   22 
 man/dominance.Rd            |    4 
 man/dominance.manual.Rd     |    8 
 man/item.alpha.Rd           |  170 -
 man/item.cfa.Rd             |  374 ++-
 man/item.dfi.Rd             |   23 
 man/item.distract.Rd        |only
 man/item.invar.Rd           |  326 +-
 man/item.noninvar.Rd        |   42 
 man/item.omega.Rd           |  111 
 man/item.reverse.Rd         |   37 
 man/item.scores.Rd          |   21 
 man/item.stats.Rd           |only
 man/modcomp.Rd              |   13 
 man/mplus.lca.Rd            |    4 
 man/mplus.plot.Rd           |   44 
 man/multilevel.alpha.Rd     |only
 man/multilevel.cfa.Rd       |  407 ++-
 man/multilevel.cor.Rd       |  195 -
 man/multilevel.descript.Rd  |   41 
 man/multilevel.fit.Rd       |   61 
 man/multilevel.icc.Rd       |   38 
 man/multilevel.invar.Rd     |  127 -
 man/multilevel.omega.Rd     |  185 +
 man/multilevel.r2.Rd        |   30 
 man/multilevel.r2.manual.Rd |   10 
 man/na.as.Rd                |    9 
 man/print.misty.object.Rd   |   86 
 man/size.mean.Rd            |    6 
 man/summa.Rd                |    4 
 man/write.mplus.Rd          |    2 
 man/write.result.Rd         |   38 
 166 files changed, 15552 insertions(+), 11317 deletions(-)

More information about misty at CRAN
Permanent link

Package fitVARMxID updated to version 1.0.5 with previous version 1.0.3 dated 2026-03-31

Title: Fit the Vector Autoregressive Model for Multiple Individuals
Description: Fit the vector autoregressive model for multiple individuals using the 'OpenMx' package (Hunter, 2017 <doi:10.1080/10705511.2017.1369354>).
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between fitVARMxID versions 1.0.3 dated 2026-03-31 and 1.0.5 dated 2026-08-02

 DESCRIPTION                                                             |    8 
 MD5                                                                     |   49 +-
 NAMESPACE                                                               |    9 
 NEWS.md                                                                 |    7 
 R/fitVARMxID-fit-dt-var-mx-id-dot.R                                     |    3 
 R/fitVARMxID-fit-dt-var-mx-id-save.R                                    |only
 R/fitVARMxID-fit-dt-var-mx-id.R                                         |    4 
 R/fitVARMxID-methods-var-mx-id.R                                        |  204 ++++++++++
 R/fitVARMxID-plot-coef-forest-dot.R                                     |only
 R/wald-ci-wald-dot.R                                                    |only
 R/wald-probs-of-alpha-dot.R                                             |only
 build/partial.rdb                                                       |binary
 man/FitVARMxID.Rd                                                       |    5 
 man/FitVARMxIDSave.Rd                                                   |only
 man/LDL.Rd                                                              |    1 
 man/Softplus.Rd                                                         |    1 
 man/confint.varmxid.Rd                                                  |only
 man/plot.varmxid.Rd                                                     |only
 man/vcov.varmxid.Rd                                                     |    5 
 tests/testthat/test-fitVARMxID-fitvarmxid-center-false-alpha-fixed-ct.R |   33 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-false-alpha-fixed.R    |   31 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-false-ct.R             |   31 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-false.R                |   29 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-true-ct.R              |   31 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-true-mu-fixed-ct.R     |   33 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-true-mu-fixed.R        |   31 +
 tests/testthat/test-fitVARMxID-fitvarmxid-center-true.R                 |   29 +
 tests/testthat/test-fitVARMxID-fitvarmxid-nu-theta-mu0.R                |   40 +
 tests/testthat/test-fitVARMxID-fitvarmxid-trigger-ensure-good-hessian.R |   24 +
 29 files changed, 525 insertions(+), 83 deletions(-)

More information about fitVARMxID at CRAN
Permanent link


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