Mon, 15 Jun 2026

New package semanticfa with initial version 0.1.0
Package: semanticfa
Title: Semantic Factor Analysis of Language Model Embeddings
Version: 0.1.0
Description: Performs exploratory factor analysis on language model embeddings of psychological scale items. Embeds item text with sentence transformers or other language models, transforms the embeddings into item-by-item similarity matrices, and extracts latent factor structure via standard exploratory factor analysis. Supports embedding-adapted parallel analysis, several similarity transforms (atomic reversed, SQuID centering, mean-centered Pearson), and fit diagnostics tailored to embedding matrices (TEFI, RMSR, CAF, McDonald's omega). The underlying methods are documented with full citations in the corresponding function help pages. Returns objects compatible with 'psych' and 'EFAtools' workflows.
License: GPL (>= 3)
URL: https://github.com/devon7y/semanticfa
BugReports: https://github.com/devon7y/semanticfa/issues
Depends: R (>= 4.1.0)
Imports: GPArotation, grDevices, graphics, psych, reticulate (>= 1.41.0), Rtsne, stats, utils, uwot, withr
Suggests: digest, EFAtools, EGAnet, httr2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-07 08:31:29 UTC; devon7y
Author: Devon Yanitski [aut, cre] , Chris Westbury [aut]
Maintainer: Devon Yanitski <dyanitsk@ualberta.ca>
Repository: CRAN
Date/Publication: 2026-06-15 13:00:02 UTC

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Package Rcatch22 updated to version 0.2.5 with previous version 0.2.3 dated 2024-10-02

Title: Calculation of 22 CAnonical Time-Series CHaracteristics
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by Lubba et al. (2019) <doi:10.1007/s10618-019-00647-x>.
Author: Trent Henderson [cre, aut], Carl Lubba [ctb], Maximilian Muecke [ctb]
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>

Diff between Rcatch22 versions 0.2.3 dated 2024-10-02 and 0.2.5 dated 2026-06-15

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Package rayvertex updated to version 0.15.0 with previous version 0.12.0 dated 2025-02-03

Title: 3D Software Rasterizer
Description: Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph], G-Truc Creation [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayvertex versions 0.12.0 dated 2025-02-03 and 0.15.0 dated 2026-06-15

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More information about rayvertex at CRAN
Permanent link

Package NMADTA updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-15

Title: Network Meta-Analysis of Multiple Diagnostic Tests
Description: Provides statistical methods for network meta-analysis of diagnostic tests to simultaneously compare multiple tests within a missing data framework, including: - Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests (Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>) - Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests (Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239>).
Author: Xing Xing [aut, cre] , Boyang Lu [aut], Lifeng Lin [aut], Qinshu Lian [aut], James S. Hodges [aut], Yong Chen [aut], Haitao Chu [aut]
Maintainer: Xing Xing <xxing@arizona.edu>

Diff between NMADTA versions 0.1.3 dated 2026-04-15 and 0.1.4 dated 2026-06-15

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New package lssdoc with initial version 0.1.0
Package: lssdoc
Title: Render Multilingual Questionnaires from 'LimeSurvey' '.lss' Files
Version: 0.1.0
Description: Render 'LimeSurvey' '.lss' survey exports as multilingual questionnaire documents in Word ('.docx') or PDF, displaying up to four languages side by side with localized chrome in English, French, German, Spanish and Italian. Includes a rule-based automated audit that flags missing translations, forward filter references, duplicate codes, array-scale inconsistencies and orphan structural references. Designed for anyone working with a 'LimeSurvey' survey: researchers, methodologists, ethics committees, translators and reviewers. Processing is fully local: the source file is the only input and no questionnaire content is uploaded to a third-party service.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: cli, rlang, xml2
Suggests: flextable, knitr, officer, rmarkdown, testthat (>= 3.0.0), zip
VignetteBuilder: knitr
URL: https://amaltawfik.github.io/lssdoc/, https://github.com/amaltawfik/lssdoc
BugReports: https://github.com/amaltawfik/lssdoc/issues
NeedsCompilation: no
Packaged: 2026-06-07 08:21:58 UTC; at
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>
Repository: CRAN
Date/Publication: 2026-06-15 12:10:08 UTC

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Package glogis updated to version 1.0-3 with previous version 1.0-2 dated 2022-04-19

Title: Fitting and Testing Generalized Logistic Distributions
Description: Tools for the generalized logistic distribution (Type I, also known as skew-logistic distribution), encompassing basic distribution functions (p, q, d, r, score), maximum likelihood estimation, and structural change methods.
Author: Achim Zeileis [aut, cre] , Thomas Windberger [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between glogis versions 1.0-2 dated 2022-04-19 and 1.0-3 dated 2026-06-15

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Package GJRM updated to version 0.2-6.9 with previous version 0.2-6.8 dated 2025-06-23

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.
Author: Giampiero Marra [aut, cre], Rosalba Radice [aut]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

Diff between GJRM versions 0.2-6.8 dated 2025-06-23 and 0.2-6.9 dated 2026-06-15

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Package echos updated to version 1.0.4 with previous version 1.0.3 dated 2026-02-21

Title: Echo State Networks for Time Series Modeling and Forecasting
Description: Provides a lightweight implementation of functions and methods for fast and fully automatic time series modeling and forecasting using Echo State Networks (ESNs).
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>

Diff between echos versions 1.0.3 dated 2026-02-21 and 1.0.4 dated 2026-06-15

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Package tmap.networks updated to version 0.2-1 with previous version 0.2 dated 2026-05-09

Title: Extension to 'tmap' for Creating Network Visualizations
Description: Provides functions for visualizing networks with 'tmap'. It supports 'sfnetworks' objects natively but is not limited to them. Useful for adding network layers such as edges and nodes to 'tmap' maps. More features may be added in future versions.
Author: Martijn Tennekes [aut, cre], Andrea Gilardi [aut] , Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.networks versions 0.2 dated 2026-05-09 and 0.2-1 dated 2026-06-15

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New package tidycorrgram with initial version 0.1.0
Package: tidycorrgram
Title: Tidy Correlation Matrices and 'ggplot2' Correlograms
Version: 0.1.0
Author: Xinyu Zhang [aut, cre]
Maintainer: Xinyu Zhang <zhangx60@uci.edu>
Description: Computes correlation matrices as tidy data frames and creates publication-ready correlograms with 'ggplot2'. The package is designed for teaching and exploratory analysis workflows where users want one consistent interface for selecting numeric variables, calculating pairwise correlations, optionally estimating p-values, reordering variables, and drawing tile, point, or mixed correlograms.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, stats
URL: https://github.com/zhangx60/tidycorrgram
BugReports: https://github.com/zhangx60/tidycorrgram/issues
NeedsCompilation: no
Packaged: 2026-06-07 05:02:14 UTC; isabelzhang
Repository: CRAN
Date/Publication: 2026-06-15 11:50:02 UTC

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New package power.nb with initial version 0.1.0
Package: power.nb
Title: Power and Sample Size Calculation for Differential Abundance Microbiome Studies
Version: 0.1.0
Description: Provides functions for estimating statistical power and required sample sizes in differential abundance microbiome studies using negative binomial models. The methods are based on Agronah and Bolker (2025) <doi:10.1371/journal.pone.0318820>. The package includes tools for simulation-based power analysis and sample size estimation using generalized additive models (GAMs), and visualization utilities for exploring the relationship between power, effect size, abundance, and sample size.
License: MIT + file LICENSE
URL: https://michaelagronah.com/power.nb/
BugReports: https://github.com/magronah/power.nb/issues
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: DESeq2, fitdistrplus, rlang, minpack.lm,foreach,tibble, purrr, mixtools, scam, ggplot2, ggrastr, metR, DEoptim, latex2exp, parallel,stats,doParallel
Suggests: rmarkdown, knitr, kableExtra, tidyverse, patchwork, dplyr, rlist
NeedsCompilation: no
Packaged: 2026-06-07 01:18:19 UTC; michaelagronah
Author: Michael Agronah [aut, cre] , Ben Bolker [aut]
Maintainer: Michael Agronah <michaelagronah@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 11:50:07 UTC

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New package MOutliers with initial version 0.1.1
Package: MOutliers
Title: Multivariate Outlier Detection Methods
Version: 0.1.1
Description: Provides methods for detecting multivariate outliers in numeric datasets. The package implements classical Mahalanobis distance, robust Minimum Covariance Determinant (MCD), and Principal Component Analysis (PCA)-based approaches. Visualization functions are included to aid interpretation of detected outliers. Mahalanobis distance calculations are accelerated using 'C++' through 'Rcpp'.
URL: https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package
BugReports: https://github.com/SenuYasara/Multivariate_Outlier_Detection_R_Package/issues
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, stats, MASS, ggplot2, gridExtra, cowplot, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-07 06:37:57 UTC; pavan
Author: Senuri Yasara [aut, cre], Pavanthi Sudasinghe [aut]
Maintainer: Senuri Yasara <senuriyasara@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-15 12:00:02 UTC

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New package causalfrag with initial version 0.1.1
Package: causalfrag
Title: Cross-Framework Causal Fragility Index
Version: 0.1.1
Date: 2026-05-30
Description: Provides a unified workflow for running, classifying, visualizing, and interpreting sensitivity analyses for unmeasured confounding across multiple causal frameworks. Introduces the Causal Fragility Index (CFI), a single 0-100 composite score that integrates evidence from the partial R-squared robustness value approach (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), E-value metrics (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>), and the Impact Threshold for a Confounding Variable (Frank, 2000, <doi:10.1177/0049124100029002001>) into one interpretable measure of robustness. The package also provides template-based plain-language narrative interpretation and publication-ready reporting, with optional integration with the 'confoundvis' package for sensitivity plots.
License: MIT + file LICENSE
URL: https://github.com/causalfragility-lab/causalfrag
BugReports: https://github.com/causalfragility-lab/causalfrag/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli (>= 3.4.0), rlang (>= 1.0.0), jsonlite (>= 1.8.0), glue (>= 1.6.0)
Suggests: httr2 (>= 1.0.0), confoundvis (>= 0.1.0), sensemakr (>= 0.1.4), EValue (>= 4.1.3), konfound (>= 0.4.0), rbounds (>= 2.1), rmarkdown (>= 2.14), knitr (>= 1.39), testthat (>= 3.0.0), withr (>= 2.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-06 23:32:15 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-06-15 11:50:13 UTC

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Package tmap.mapgl updated to version 0.3 with previous version 0.2-1 dated 2026-05-09

Title: Extensions to 'tmap' with Two New Modes: 'mapbox' and 'maplibre'
Description: The 'tmap' package provides two plotting modes for static and interactive thematic maps. This package extends 'tmap' with two additional modes based on 'Mapbox GL JS' and 'MapLibre GL JS'. These modes feature interactive vector tiles, globe views, and other modern web-mapping capabilities, while maintaining a consistent 'tmap' interface across all plotting modes.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.mapgl versions 0.2-1 dated 2026-05-09 and 0.3 dated 2026-06-15

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Package tmap.glyphs updated to version 0.2 with previous version 0.1-1 dated 2026-05-09

Title: Extension to 'tmap' for Creating Glyphs
Description: Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a small chart (e.g., donut chart) shown at specific map locations to visualize multivariate or time-series data. The functions work with the syntax of 'tmap' and allow flexible control over size, layout, and appearance.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.glyphs versions 0.1-1 dated 2026-05-09 and 0.2 dated 2026-06-15

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Package lisp readmission to version 0.2 with previous version 0.1 dated 2012-01-12

Title: List-Processing à La 'SRFI-1'
Description: Provides list-processing utilities inspired by the 'SRFI-1' list library for Scheme (<https://srfi.schemers.org/srfi-1/srfi-1.html>), including car/cdr family accessors, zip, pairwise, for.each, pair.fold.right and friends. Higher-order helpers that are orthogonal to list processing are deferred to the 'functional' package; this package is freely a mixture of implementation and API.
Author: Peter Danenberg [aut, cre]
Maintainer: Peter Danenberg <pcd@roxygen.org>

This is a re-admission after prior archival of version 0.1 dated 2012-01-12

Diff between lisp versions 0.1 dated 2012-01-12 and 0.2 dated 2026-06-15

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Package FLightR updated to version 0.5.6 with previous version 0.5.5 dated 2024-07-04

Title: Reconstruct Animal Paths from Solar Geolocation Loggers Data
Description: Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.
Author: Eldar Rakhimberdiev [aut, cre], Anatoly Saveliev [aut], Julia Karagicheva [aut], Simeon Lisovski [ctb], Johannes de Groeve [ctb]
Maintainer: Eldar Rakhimberdiev <eldar.rakhimberdiev@uva.nl>

Diff between FLightR versions 0.5.5 dated 2024-07-04 and 0.5.6 dated 2026-06-15

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Package dlstats updated to version 0.1.8 with previous version 0.1.7 dated 2023-05-24

Title: Download Stats of R Packages
Description: Monthly download stats of 'CRAN' and 'Bioconductor' packages. Download stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see <https://cranlogs.r-pkg.org:443>. 'Bioconductor' package download stats is at <https://bioconductor.org/packages/stats/>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between dlstats versions 0.1.7 dated 2023-05-24 and 0.1.8 dated 2026-06-15

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Package MSCMT updated to version 1.4.4 with previous version 1.4.3 dated 2026-05-26

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package KINSIMU updated to version 0.1.3-2 with previous version 0.1.3 dated 2025-12-19

Title: Panel Evaluation in Forensic Kinship Analysis
Description: Evaluate specific panels in different aspects: i) Simulation tools related to pedigree researches; ii) calculation for systemic effectiveness indicators, such as probability of exclusion (PE).
Author: Guanju Ma [aut, cre], Shujin Li [ctb]
Maintainer: Guanju Ma <guanjuma@hebmu.edu.cn>

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Package capybara updated to version 2.0.0 with previous version 1.8.0 dated 2025-08-27

Title: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Description: Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815>, Gaure (2013) <doi:10.1016/j.csda.2013.03.024>, Berge (2018) <https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020) <doi: 10.1177/1536867X20909691>. This implementation is described in Vargas Sepulveda (2025) <doi:10.1371/journal.pone.0331178>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Joao Santos Silva [ths], Yoto Yotov [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package akin updated to version 0.3.7 with previous version 0.3.6 dated 2026-06-07

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings, and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package TrialSimulator updated to version 1.20.1 with previous version 1.18.4 dated 2026-05-13

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package ppendemic updated to version 0.2.2 with previous version 0.2.1 dated 2026-02-26

Title: A Glimpse at the Diversity of Peru's Endemic Plants
Description: Provides an updated database of accepted endemic plant taxa from Peru. The current collection contains over 8,000 taxonomic records at species and infraspecific ranks. Data are derived from Govaerts, R., Nic Lughadha, E., Black, N. et al., 'The World Checklist of Vascular Plants: A continuously updated resource for exploring global plant diversity', published in Sci Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.
Author: Paul E. Santos Andrade [aut, cre] , Lucely L. Vilca Bustamante [aut]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

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Package PPCSexRx updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-01

Title: Prescribe Sub-Symptom Exercise for Adolescent Concussion
Description: A clinical decision support system for sub-symptom threshold aerobic exercise (SSTAE) prescription in adolescents with persistent post-concussion symptoms (PPCS). Implements an evidence-based protocol derived from a systematic review of seven studies (Li, 2026; <doi:10.17605/osf.io/kvuf6>), encoding safety screening, Buffalo Concussion Treadmill Test (BCTT)-guided heart rate prescription, session-level progress tracking, and evidence disclosure using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework into an open-source tool for athletic trainers and clinicians. Designed to support implementation in resource-limited settings where BCTT equipment may be unavailable. GRADE certainty of evidence: LOW. For clinician use only; not a substitute for clinical judgement.
Author: Guang Li [aut, cre]
Maintainer: Guang Li <contact@guanglab.org>

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Package pipeflow updated to version 0.3.0 with previous version 0.2.3 dated 2025-07-26

Title: Fast Interactive Data Analysis Pipelines
Description: A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and 'pipeflow' wires them into a pipeline that stays consistent as you go. Modify, remove, or insert steps at any stage, manage all parameters in one place, fast execution (C++-powered DAG) for interactive use and Shiny backends.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package multipleOutcomes updated to version 0.18.1 with previous version 0.16.2 dated 2026-05-18

Title: Joint Covariance and Treatment-Effect Tests for Multiple Outcomes
Description: Fits generalized linear models, Cox proportional-hazards models, log-rank tests, generalized estimating equations, mixed models with repeated measures, Kaplan-Meier curves, quantile differences, and hierarchical net-benefit (win-difference) and log win-ratio statistics jointly across multiple endpoints, and returns the full asymptotic covariance matrix linking them. Implements PATED (Prognostic Assisted Treatment Effect Detection), a randomized-trial method that exploits balanced prognostic covariates to tighten standard errors and increase statistical power without introducing bias.
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package mpindex updated to version 0.3.0 with previous version 0.2.1 dated 2024-01-09

Title: Multidimensional Poverty Index (MPI) via the Alkire-Foster Method
Description: Estimate Multidimensional Poverty Index (MPI) measures from household survey microdata using the Alkire-Foster dual-cutoff counting method (Alkire and Foster, 2011). Load indicator specifications from CSV, Excel, JSON, or plain-text files; compute the headcount ratio (H), intensity (A), and MPI = H x A across any subgroup; and export results to formatted Excel reports. Supports complex survey designs — stratification, clustering, and probability weights — and optionally appends design-based standard errors and confidence intervals.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

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Package learningtower updated to version 1.1.1 with previous version 1.1.0 dated 2024-12-21

Title: OECD PISA Datasets from 2000-2022 in an Easy-to-Use Format
Description: The Programme for International Student Assessment (PISA) is a global study conducted by the Organization for Economic Cooperation and Development (OECD) in member and non-member countries to assess educational systems by assessing 15-year-old school students academic performance in mathematics, science, and reading. This datasets contains information on their scores and other socioeconomic characteristics, information about their school and its infrastructure, as well as the countries that are taking part in the program.
Author: Kevin Wang [aut, cre], Paul Yacobellis [aut], Erika Siregar [aut], Sarah Romanes [aut], Kim Fitter [aut], Giulio Valentino Dalla Riva [aut], Dianne Cook [aut], Nick Tierney [aut], Priya Dingorkar [aut], Shabarish Sai Subramanian [aut], Guan Ru Chen [ [...truncated...]
Maintainer: Kevin Wang <kevinwangstats@gmail.com>

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Package h3sdm updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-12

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package GeoModels updated to version 2.2.4 with previous version 2.2.3 dated 2026-04-06

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package FKF.SP (with last version 0.3.4) was removed from CRAN

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

2025-04-16 0.3.4
2024-10-30 0.3.3
2022-10-10 0.3.1
2022-10-05 0.3.0
2022-03-21 0.2.0
2021-11-12 0.1.3
2021-05-04 0.1.2
2021-01-29 0.1.1
2020-12-18 0.1.0

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Package LSMRealOptions (with last version 0.2.1) was removed from CRAN

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

2021-06-26 0.2.1
2021-05-04 0.2.0
2021-01-21 0.1.0

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Package robCompositions updated to version 2.6.0 with previous version 2.4.2 dated 2025-08-22

Title: Compositional Data Analysis
Description: Methods for analysis of compositional data including robust methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), count zeros (<doi:10.1177/1471082X14535524>), methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>), contingency (<doi:10.1080/03610926.2013.824980>) and compositional tables (<doi:10.1111/sjos.12326>, <doi: [...truncated...]
Author: Matthias Templ [aut, cre] , Karel Hron [aut] , Peter Filzmoser [aut] , Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio [ct [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package sasLM updated to version 1.0.0 with previous version 0.10.8 dated 2026-03-08

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.10.8 dated 2026-03-08 and 1.0.0 dated 2026-06-15

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Package ggExametrika updated to version 1.1.1 with previous version 1.1.0 dated 2026-04-17

Title: Visualization of 'exametrika' Output Using 'ggplot2'
Description: Provides 'ggplot2'-based visualization functions for output objects from the 'exametrika' package, which implements test data engineering methods described in Shojima (2022, ISBN:978-981-16-9547-1). Supports a wide range of psychometric models including Item Response Theory, Latent Class Analysis, Latent Rank Analysis, Biclustering (binary, ordinal, and nominal), Bayesian Network Models, and related network models. All plot functions return 'ggplot2' objects that can be further customized by the user.
Author: Koji Kosugi [aut, cre] , Daichi Kamimura [aut]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between ggExametrika versions 1.1.0 dated 2026-04-17 and 1.1.1 dated 2026-06-15

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Package DET updated to version 3.0.3 with previous version 3.0.2 dated 2025-08-28

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors that are the results of a binary classification system. The curves give a general view of classifier performance and are useful for comparing different systems.
Author: Garcia-Rodenas, Alvaro [aut], Franco, Manuel [aut], Vivo, Juana-Maria [aut], Fernandez-Breis, Jesualdo T. [aut], Font, Roberto [aut], Curran, James [cre]
Maintainer: "Curran, James" <j.curran@auckland.ac.nz>

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 DET-3.0.3/DET/man/speaker.Rd                 |   10 
 DET-3.0.3/DET/tests/testthat.R               |only
 DET-3.0.3/DET/tests/testthat/test-detc.R     |   16 
 DET-3.0.3/DET/tests/testthat/test-measures.R |only
 DET-3.0.3/DET/tests/testthat/test-plots.R    |only
 DET-3.0.3/DET/tests/testthat/test-show.R     |only
 32 files changed, 1282 insertions(+), 1078 deletions(-)

More information about DET at CRAN
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Package deduped updated to version 0.5.0 with previous version 0.4.0 dated 2026-04-02

Title: Making "Deduplicated" Functions
Description: Contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end.
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>

Diff between deduped versions 0.4.0 dated 2026-04-02 and 0.5.0 dated 2026-06-15

 deduped-0.4.0/deduped/R/deduped_map.R                    |only
 deduped-0.4.0/deduped/man/deduped_map.Rd                 |only
 deduped-0.4.0/deduped/tests/testthat/test-deduped_map.R  |only
 deduped-0.5.0/deduped/DESCRIPTION                        |   10 -
 deduped-0.5.0/deduped/MD5                                |   26 +-
 deduped-0.5.0/deduped/NAMESPACE                          |    1 
 deduped-0.5.0/deduped/NEWS.md                            |   23 ++
 deduped-0.5.0/deduped/R/deduped.R                        |   99 +++++++++--
 deduped-0.5.0/deduped/R/with_deduped.R                   |   59 ++++--
 deduped-0.5.0/deduped/R/zzz.R                            |only
 deduped-0.5.0/deduped/README.md                          |   58 +++++-
 deduped-0.5.0/deduped/inst/WORDLIST                      |    3 
 deduped-0.5.0/deduped/man/deduped.Rd                     |   16 +
 deduped-0.5.0/deduped/man/with_deduped.Rd                |  134 ++++++++-------
 deduped-0.5.0/deduped/tests/testthat/test-deduped.R      |  134 ++++++++++++---
 deduped-0.5.0/deduped/tests/testthat/test-with_deduped.R |   46 ++++-
 16 files changed, 469 insertions(+), 140 deletions(-)

More information about deduped at CRAN
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