Thu, 28 Aug 2025

Package overshiny updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-22

Title: Interactive Overlays on 'shiny' Plots
Description: Provides rectangular elements that can be dragged and resized over plots in 'shiny' apps. This may be useful in applications where users need to mark regions on the plot for further input or processing.
Author: Nick Davies [aut, cre, cph]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package odbc updated to version 1.6.2 with previous version 1.6.1 dated 2025-03-27

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], Simon Couch [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package modeltime updated to version 1.3.2 with previous version 1.3.1 dated 2024-10-22

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package EValue updated to version 4.1.4 with previous version 4.1.3 dated 2021-10-28

Title: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith, Mathur, & VanderWeele (2021) <doi:10.1097/EDE.0000000000001380>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., <doi:10.1093/ije/dyac073>).
Author: Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut]
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

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Package zonohedra updated to version 0.5-0 with previous version 0.4-0 dated 2025-01-31

Title: Compute and Plot Zonohedra from Vector Generators
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package siera updated to version 0.5.3 with previous version 0.5.2 dated 2025-08-25

Title: Generate Analysis Results Programmes Using ARS Metadata
Description: Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using 'siera' package, ARS metadata is ingested (JSON or Excel format), producing programmes to generate Analysis Results Datasets (ARDs).
Author: Malan Bosman [aut, cre], Clymb Clinical [cph, fnd]
Maintainer: Malan Bosman <malanbos@gmail.com>

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Package LTFGRS readmission to version 1.0.1 with previous version 1.0.0 dated 2025-07-07

Title: Implementation of Several Phenotype-Based Family Genetic Risk Scores
Description: Implementation of several phenotype-based family genetic risk scores with unified input data and data preparation functions to help facilitate the required data preparation and management. The implemented family genetic risk scores are the extended liability threshold model conditional on family history from Pedersen (2022) <doi:10.1016/j.ajhg.2022.01.009> and Pedersen (2023) <https://www.nature.com/articles/s41467-023-41210-z>, Pearson-Aitken Family Genetic Risk Scores from Krebs (2024) <doi:10.1016/j.ajhg.2024.09.009>, and family genetic risk score from Kendler (2021) <doi:10.1001/jamapsychiatry.2021.0336>.
Author: Emil Michael Pedersen [aut, cre], Jette Steinbach [aut], Lucas Rasmussen [ctb], Morten Dybdahl Krebs [aut]
Maintainer: Emil Michael Pedersen <emp@ph.au.dk>

This is a re-admission after prior archival of version 1.0.0 dated 2025-07-07

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Package Hmsc updated to version 3.3-7 with previous version 3.0-13 dated 2022-08-11

Title: Hierarchical Model of Species Communities
Description: Hierarchical Modelling of Species Communities (HMSC) is a model-based approach for analyzing community ecological data. This package implements it in the Bayesian framework with Gibbs Markov chain Monte Carlo (MCMC) sampling (Tikhonov et al. (2020) <doi:10.1111/2041-210X.13345>).
Author: Gleb Tikhonov [aut], Otso Ovaskainen [aut, cre] , Jari Oksanen [aut], Melinda de Jonge [aut], Oystein Opedal [aut], Tad Dallas [aut]
Maintainer: Otso Ovaskainen <otso.t.ovaskainen@jyu.fi>

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Package Gifi updated to version 1.0-0 with previous version 0.4-0 dated 2022-10-03

Title: Multivariate Analysis with Optimal Scaling
Description: Implements various Gifi methods in a user-friendly way: categorical principal component analysis (princals), multiple correspondence analysis (homals), monotone regression analysis (morals).
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Patrick J. F. Groenen [ctb]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package fluxtools updated to version 0.6.2 with previous version 0.6.0 dated 2025-08-27

Title: A 'shiny' App for Reproducible QA/QC of Eddy Covariance Data
Description: An interactive 'shiny'-based tool for exploration and quality assurance and quality control (QA/QC) of eddy covariance flux tower data processing. It generates data-point removal code via user-directed selection from a scatterplot, and can export a cleaned .csv with removed points set to NA plus an R script for reproducibility. Reference: Key (2025) <DOI:10.5281/zenodo.15597159>.
Author: Kesondra Key [aut, cre]
Maintainer: Kesondra Key <keyke@iu.edu>

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Package confcons readmission to version 0.3.2 with previous version 0.3.1 dated 2024-03-17

Title: Confidence and Consistency of Predictive Distribution Models
Description: Calculate confidence and consistency that measure the goodness-of-fit and transferability of predictive/potential distribution models (including species distribution models) as described by Somodi & Bede-Fazekas et al. (2024) <doi:10.1016/j.ecolmodel.2024.110667>.
Author: Akos Bede-Fazekas [aut, cre] , Imelda Somodi [aut] , Zoltan Botta-Dukat [ctb]
Maintainer: Akos Bede-Fazekas <bfakos@ecolres.hu>

This is a re-admission after prior archival of version 0.3.1 dated 2024-03-17

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Package BayesianMCPMod updated to version 1.2.0 with previous version 1.1.0 dated 2025-03-07

Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and visualize [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Jonas Schick [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package BACprior updated to version 2.1.2 with previous version 2.1.1 dated 2023-10-10

Title: Choice of Omega in the BAC Algorithm
Description: The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) can be used to estimate the causal effect of a continuous exposure on a continuous outcome. This package provides an approximate sensitivity analysis of BAC with regards to the hyperparameter omega. BACprior also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
Author: Denis Talbot [aut, cre] , Genevieve Lefebvre [aut] , Juli Atherton [aut]
Maintainer: Denis Talbot <denis.talbot@fmed.ulaval.ca>

Diff between BACprior versions 2.1.1 dated 2023-10-10 and 2.1.2 dated 2025-08-28

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Package vimp updated to version 2.3.6 with previous version 2.3.5 dated 2025-07-23

Title: Perform Inference on Algorithm-Agnostic Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
Author: Brian D. Williamson [aut, cre] , Jean Feng [ctb], Charlie Wolock [ctb], Noah Simon [ths] , Marco Carone [ths]
Maintainer: Brian D. Williamson <brian.d.williamson@kp.org>

Diff between vimp versions 2.3.5 dated 2025-07-23 and 2.3.6 dated 2025-08-28

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Package TAM updated to version 4.3-25 with previous version 4.2-21 dated 2024-02-19

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut, cre] , Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 4.2-21 dated 2024-02-19 and 4.3-25 dated 2025-08-28

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Package speakeasyR updated to version 0.1.6 with previous version 0.1.5 dated 2025-04-03

Title: Fast and Robust Multi-Scale Graph Clustering
Description: A graph community detection algorithm that aims to be performant on large graphs and robust, returning consistent results across runs. SpeakEasy 2 (SE2), the underlying algorithm, is described in Chris Gaiteri, David R. Connell & Faraz A. Sultan et al. (2023) <doi:10.1186/s13059-023-03062-0>. The core algorithm is written in 'C', providing speed and keeping the memory requirements low. This implementation can take advantage of multiple computing cores without increasing memory usage. SE2 can detect community structure across scales, making it a good choice for biological data, which often has hierarchical structure. Graphs can be passed to the algorithm as adjacency matrices using base 'R' matrices, the 'Matrix' library, 'igraph' graphs, or any data that can be coerced into a matrix.
Author: David Connell [aut, cre, cph] , Chris Gaiteri [cph] , Gabor Csardi [cph, ctb] , Tamas Nepusz [cph, ctb] , Szabolcs Horvat [cph, ctb] , Vincent Traag [cph, ctb] , Fabio Zanini [cph, ctb] , Daniel Noom [cph, ctb] , The igraph development team [cph] , F [...truncated...]
Maintainer: David Connell <david32@dcon.addy.io>

Diff between speakeasyR versions 0.1.5 dated 2025-04-03 and 0.1.6 dated 2025-08-28

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 speakeasyR-0.1.6/speakeasyR/NEWS.md                                                               |    6 
 speakeasyR-0.1.6/speakeasyR/configure                                                             |   18 
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Package regmed updated to version 2.1.5 with previous version 2.1.0 dated 2023-01-20

Title: Regularized Mediation Analysis
Description: Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).
Author: Jason Sinnwell [aut, cre] , Daniel Schaid [aut]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

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Package protoshiny updated to version 0.1.1 with previous version 0.1.0 dated 2022-05-18

Title: Interactive Dendrograms for Visualizing Hierarchical Clusters with Prototypes
Description: Shiny app to interactively visualize hierarchical clustering with prototypes. For details on hierarchical clustering with prototypes, see Bien and Tibshirani (2011) <doi:10.1198/jasa.2011.tm10183>. This package currently launches the application.
Author: Andee Kaplan [aut, cre], Jacob Bien [aut], Mike Bostock [cph] , Brian Reavis [cph]
Maintainer: Andee Kaplan <andee.kaplan@colostate.edu>

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Package ttbary updated to version 0.3-2 with previous version 0.3-1 dated 2022-11-16

Title: Barycenter Methods for Spatial Point Patterns
Description: Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu (2020) <doi:10.1007/s11222-020-09932-y>.
Author: Raoul Mueller [aut], Dominic Schuhmacher [aut, cre]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

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Package rStrava updated to version 1.3.3 with previous version 1.3.2 dated 2024-10-23

Title: Access the 'Strava' API
Description: Functions to access data from the 'Strava v3 API' <https://developers.strava.com/>.
Author: Marcus W. Beck [cre], Pedro Villarroel [aut], Daniel Padfield [aut], Lorenzo Gaborini [aut], Niklas von Maltzahn [aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

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Package modeltime.resample updated to version 0.2.4 with previous version 0.2.3 dated 2023-04-12

Title: Resampling Tools for Time Series Forecasting
Description: A 'modeltime' extension that implements forecast resampling tools that assess time-based model performance and stability for a single time series, panel data, and cross-sectional time series analysis.
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package modeltime.ensemble updated to version 1.0.5 with previous version 1.0.4 dated 2024-07-19

Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package ICSOutlier updated to version 0.4-1 with previous version 0.4-0 dated 2023-12-13

Title: Outlier Detection Using Invariant Coordinate Selection
Description: Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.
Author: Klaus Nordhausen [aut, cre] , Aurore Archimbaud [aut] , Anne Ruiz-Gazen [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

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Package sweep updated to version 0.2.6 with previous version 0.2.5 dated 2023-07-06

Title: Tidy Tools for Forecasting
Description: Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package neonUtilities updated to version 3.0.1 with previous version 3.0.0 dated 2025-07-22

Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb], Christine Laney [aut, ctb], Nathan Mietkiewicz [aut, ctb], Eric Sokol [aut, ctb], Kaelin Cawley [aut, ctb], NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>

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Package AFR updated to version 0.3.7 with previous version 0.3.6 dated 2024-09-06

Title: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Description: Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. The package includes functions from existing R packages adapted for banking sector of Kazakhstan. The purpose of the package is to optimize statistical functions for easier interpretation for bank analysts and non-statisticians.
Author: Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut], Sultan Zhaparov [aut, cre]
Maintainer: Sultan Zhaparov <saldau.sultan@gmail.com>

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Package wintime updated to version 0.4.1 with previous version 0.4.0 dated 2025-06-30

Title: Win Time Methods for Time-to-Event Data in Clinical Trials
Description: Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'ewtp', 'rewtp', 'ewtpr', 'rewtpr', 'max', 'wtr', 'rwtr', 'pwt', and 'rpwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
Author: James Troendle [aut, cre], Samuel Lawrence [aut]
Maintainer: James Troendle <james.troendle@nih.gov>

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Package marginaleffects updated to version 0.29.0 with previous version 0.28.0 dated 2025-06-25

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb] , Grant McDermott [ctb] , Andrew Heiss [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package icosa updated to version 0.12.0 with previous version 0.11.1 dated 2024-08-16

Title: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra
Description: Implementation of icosahedral grids in three dimensions. The spherical-triangular tessellation can be set to create grids with custom resolutions. Both the primary triangular and their inverted penta-hexagonal grids can be calculated. Additional functions are provided that allow plotting of the grids and associated data, the interaction of the grids with other raster and vector objects, and treating the grids as a graphs.
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between icosa versions 0.11.1 dated 2024-08-16 and 0.12.0 dated 2025-08-28

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Package DET readmission to version 3.0.2 with previous version 3.0.1 dated 2021-04-02

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, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of 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>

This is a re-admission after prior archival of version 3.0.1 dated 2021-04-02

Diff between DET versions 3.0.1 dated 2021-04-02 and 3.0.2 dated 2025-08-28

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Package pez updated to version 1.2-5 with previous version 1.2-4 dated 2022-08-31

Title: Phylogenetics for the Environmental Sciences
Description: Eco-phylogenetic and community phylogenetic analyses. Keeps community ecological and phylogenetic data matched up and comparable using 'comparative.comm' objects. Wrappers for common community phylogenetic indices ('pez.shape', 'pez.evenness', 'pez.dispersion', and 'pez.dissimilarity' metrics). Implementation of Cavender-Bares (2004) correlation of phylogenetic and ecological matrices ('fingerprint.regression'). Phylogenetic Generalised Linear Mixed Models (PGLMMs; 'pglmm') following Ives & Helmus (2011) and Rafferty & Ives (2013). Simulation of null assemblages, traits, and phylogenies ('scape', 'sim.meta.comm').
Author: William D. Pearse [aut, cre], Marc W. Cadotte [aut], Jeannine Cavender-Bares [aut], Anthony R. Ives [aut], Caroline Tucker [aut], Steve C. Walker [aut], Matthew R. Helmus [aut]
Maintainer: William D. Pearse <will.pearse@gmail.com>

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Package bootGOF updated to version 0.1.1 with previous version 0.1.0 dated 2021-06-24

Title: Bootstrap Based Goodness-of-Fit Tests
Description: Bootstrap based goodness-of-fit tests. It allows to perform rigorous statistical tests to check if a chosen model family is correct based on the marked empirical process. The implemented algorithms are described in (Dikta and Scheer (2021) <doi:10.1007/978-3-030-73480-0>) and can be applied to generalized linear models without any further implementation effort. As far as certain linearity conditions are fulfilled the resampling scheme are also applicable beyond generalized linear models. This is reflected in the software architecture which allows to reuse the resampling scheme by implementing only certain interfaces for models that are not supported natively by the package.
Author: Marsel Scheer [aut, cre], Gerhard Dikta [aut]
Maintainer: Marsel Scheer <scheer@freescience.de>

Diff between bootGOF versions 0.1.0 dated 2021-06-24 and 0.1.1 dated 2025-08-28

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Package medfateland updated to version 2.7.0 with previous version 2.6.0 dated 2025-04-23

Title: Mediterranean Landscape Simulation
Description: Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.
Author: Miquel De Caceres [aut, cre], Aitor Ameztegui [aut] , Maria Gonzalez [aut] , Nuria Aquilue [aut], Daniel Caviedes-Voullieme [aut], Mario Morales-Hernandez [aut], Mario Beltran [ctb], Rodrigo Balaguer-Romano [ctb] , Roberto Molowny-Horas [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between medfateland versions 2.6.0 dated 2025-04-23 and 2.7.0 dated 2025-08-28

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Package networkABC updated to version 0.9-0 with previous version 0.8-1 dated 2022-10-18

Title: Network Reverse Engineering with Approximate Bayesian Computation
Description: We developed an inference tool based on approximate Bayesian computation to decipher network data and assess the strength of the inferred links between network's actors. It is a new multi-level approximate Bayesian computation (ABC) approach. At the first level, the method captures the global properties of the network, such as a scale-free structure and clustering coefficients, whereas the second level is targeted to capture local properties, including the probability of each couple of genes being linked. Up to now, Approximate Bayesian Computation (ABC) algorithms have been scarcely used in that setting and, due to the computational overhead, their application was limited to a small number of genes. On the contrary, our algorithm was made to cope with that issue and has low computational cost. It can be used, for instance, for elucidating gene regulatory network, which is an important step towards understanding the normal cell physiology and complex pathological phenotype. Reverse-eng [...truncated...]
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut] , Khadija Musayeva [ctb], Nicolas Jung [ctb], Universite de Strasbourg [cph], CNRS [cph]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between networkABC versions 0.8-1 dated 2022-10-18 and 0.9-0 dated 2025-08-28

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Package UpDown updated to version 1.2.3 with previous version 1.2.1 dated 2023-07-20

Title: Detecting Group Disturbances from Longitudinal Observations
Description: Provides an algorithm to detect and characterize disturbances (start, end dates, intensity) that can occur at different hierarchical levels by studying the dynamics of longitudinal observations at the unit level and group level based on Nadaraya-Watson's smoothing curves, but also a shiny app which allows to visualize the observations and the detected disturbances. Finally the package provides a dataframe mimicking a pig farming system subsected to disturbances simulated according to Le et al.(2022) <doi:10.1016/j.animal.2022.100496>.
Author: Tom Rohmer [aut, cre], Vincent Le [aut], Ingrid David [aut]
Maintainer: Tom Rohmer <tom.rohmer@inrae.fr>

Diff between UpDown versions 1.2.1 dated 2023-07-20 and 1.2.3 dated 2025-08-28

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 MD5                   |   20 ++++++++++----------
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 R/tools.R             |   50 ++------------------------------------------------
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 README.md             |    2 +-
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New package stratcols with initial version 1.0.0
Package: stratcols
Title: Stratigraphic Columns and Order Metrics
Version: 1.0.0
Description: Quantify stratigraphic disorder using the metrics defined by Burgess (2016) <doi:10.2110/jsr.2016.10>. Contains a range of utility tools to construct and manipulate stratigraphic columns.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: StratigrapheR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
URL: https://mindthegap-erc.github.io/stratcols/, https://github.com/MindTheGap-ERC/stratcols
BugReports: https://github.com/MindTheGap-ERC/stratcols/issues
NeedsCompilation: no
Packaged: 2025-08-25 08:22:28 UTC; hohma004
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>
Repository: CRAN
Date/Publication: 2025-08-28 13:40:02 UTC

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New package searchAnalyzeR with initial version 0.1.0
Package: searchAnalyzeR
Title: Advanced Analytics and Testing Framework for Systematic Review Search Strategies
Version: 0.1.0
Date: 2025-08-12
Description: Provides comprehensive analytics, reporting, and testing capabilities for systematic review search strategies. The package focuses on validating search performance, generating standardized 'PRISMA'-compliant reports, and ensuring reproducibility in evidence synthesis. Features include precision-recall analysis, cross-database performance comparison, benchmark validation against gold standards, sensitivity analysis, temporal coverage assessment, automated report generation, and statistical comparison of search strategies. Supports multiple export formats including 'CSV', 'Excel', 'RIS', 'BibTeX', and 'EndNote'. Includes tools for duplicate detection, search strategy optimization, cross-validation frameworks, meta-analysis of benchmark results, power analysis for study design, and reproducibility package creation. Optionally connects to 'PubMed' for direct database searching and real-time strategy comparison using the 'E-utilities' 'API'. Enhanced with bootstrap comparison methods, 'McNe [...truncated...]
License: GPL-3
URL: https://github.com/chaoliu-cl/searchAnalyzeR
BugReports: https://github.com/chaoliu-cl/searchAnalyzeR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: R6 (>= 2.5.0), ggplot2 (>= 3.4.0), openxlsx (>= 4.2.5), stringdist (>= 0.9.10), lubridate (>= 1.9.0), digest (>= 0.6.31), stats, utils
Suggests: testthat (>= 3.0.0), covr (>= 3.6.0), dplyr (>= 1.1.0), shiny (>= 1.7.0), shinydashboard (>= 0.7.2), flexdashboard (>= 0.6.0), plotly (>= 4.10.0), DT (>= 0.27), boot (>= 1.3-28), pwr (>= 1.3-0), progress (>= 1.2.2), rmarkdown (>= 2.20), knitr (>= 1.42), glue (>= 1.6.0), rentrez (>= 1.2.3), xml2 (>= 1.3.0), readr (>= 2.1.0), jsonlite (>= 1.8.0), revtools, tidyr, patchwork, metagear
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-24 02:02:14 UTC; chaoliu
Author: Chao Liu [aut, cre]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Repository: CRAN
Date/Publication: 2025-08-28 13:10:02 UTC

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Package rsconnect updated to version 1.5.1 with previous version 1.5.0 dated 2025-06-26

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.5.0 dated 2025-06-26 and 1.5.1 dated 2025-08-28

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Package mlr3inferr updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-13

Title: Inference on the Generalization Error
Description: Confidence interval and resampling methods for inference on the generalization error.
Author: Sebastian Fischer [cre, aut] , Hannah Schulz-Kuempel [aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3inferr versions 0.1.0 dated 2025-01-13 and 0.2.0 dated 2025-08-28

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New package datacommons with initial version 0.1.0
Package: datacommons
Title: Client for the 'Google Data Commons API V2'
Version: 0.1.0
Description: Access the 'Google Data Commons API V2' <https://docs.datacommons.org/api/rest/v2/>. Data Commons provides programmatic access to statistical and demographic data from dozens of sources organized in a knowledge graph.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, stringr, ggplot2, scales, withr, httpuv
VignetteBuilder: knitr
URL: https://github.com/tidy-intelligence/r-datacommons, https://tidy-intelligence.github.io/r-datacommons/
BugReports: https://github.com/tidy-intelligence/r-datacommons/issues
NeedsCompilation: no
Packaged: 2025-08-24 15:01:01 UTC; krise
Author: Christoph Scheuch [aut, cre, cph] , Teal Emery [aut]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-08-28 13:20:02 UTC

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Package constructive updated to version 1.2.0 with previous version 1.1.0 dated 2025-01-10

Title: Display Idiomatic Code to Construct Most R Objects
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
Author: Antoine Fabri [aut, cre], Kirill Mueller [ctb] , Jacob Scott [ctb], cynkra GmbH [fnd]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>

Diff between constructive versions 1.1.0 dated 2025-01-10 and 1.2.0 dated 2025-08-28

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 constructive-1.2.0/constructive/NEWS.md                                            |   66 ++
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Package armaOptions updated to version 1.0.1 with previous version 1.0.0 dated 2025-07-11

Title: ARMA Models to Value Stock Options
Description: Providing ways to estimate the value of European stock options given historical stock price data. It includes functions for calculating option values based on autoregressive–moving-average (ARMA) models and generates information about these models. This package is made to be easy to understand and for financial analysis capabilities.
Author: Brian MacCarvill [aut, cre]
Maintainer: Brian MacCarvill <brianmaccarvills@gmail.com>

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Package openair updated to version 2.19.0 with previous version 2.18-2 dated 2024-03-11

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.
Author: David Carslaw [aut, cre] , Jack Davison [aut] , Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package mapview updated to version 2.11.3 with previous version 2.11.2 dated 2023-10-13

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Jochen Darley [ctb], Pierre Roudier [ctb], [...truncated...]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package leafem updated to version 0.2.5 with previous version 0.2.4 dated 2025-05-01

Title: 'leaflet' Extensions for 'mapview'
Description: Provides extensions for packages 'leaflet' & 'mapdeck', many of which are used by package 'mapview'. Focus is on functionality readily available in Geographic Information Systems such as 'Quantum GIS'. Includes functions to display coordinates of mouse pointer position, query image values via mouse pointer and zoom-to-layer buttons. Additionally, provides a feature type agnostic function to add points, lines, polygons to a map.
Author: Tim Appelhans [cre, aut], Christoph Reudenbach [ctb], Kenton Russell [ctb], Jochen Darley [ctb], Daniel Montague [ctb, cph] , Lorenzo Busetto [ctb], Luigi Ranghetti [ctb], Miles McBain [ctb], Sebastian Gatscha [ctb], Bjoern Harrtell [ctb, cph] , Danie [...truncated...]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

Diff between leafem versions 0.2.4 dated 2025-05-01 and 0.2.5 dated 2025-08-28

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Package ecotraj updated to version 1.1.1 with previous version 1.1.0 dated 2025-05-05

Title: Ecological Trajectory Analysis
Description: Analysis of temporal changes (i.e. dynamics) of ecological entities, defined as trajectories on a chosen multivariate space, by providing a set of trajectory metrics and visual representations [De Caceres et al. (2019) <doi:10.1002/ecm.1350>; and Sturbois et al. (2021) <doi:10.1016/j.ecolmodel.2020.109400>]. Includes functions to estimate metrics for individual trajectories (length, directionality, angles, ...) as well as metrics to relate pairs of trajectories (dissimilarity and convergence). Functions are also provided to estimate the ecological quality of ecosystem with respect to reference conditions [Sturbois et al. (2023) <doi:10.1002/ecs2.4726>].
Author: Miquel De Caceres [aut, cre] , Nicolas Djeghri [aut] , Anthony Sturbois [aut] , Javier De la Casa [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between ecotraj versions 1.1.0 dated 2025-05-05 and 1.1.1 dated 2025-08-28

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Package CCI updated to version 0.3.1 with previous version 0.2.1 dated 2025-08-19

Title: Computational Test for Conditional Independence
Description: Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.
Author: Christian B. H. Thorjussen [aut, cre] , Kristian Hovde Liland [aut]
Maintainer: Christian B. H. Thorjussen <christianbern@gmail.com>

Diff between CCI versions 0.2.1 dated 2025-08-19 and 0.3.1 dated 2025-08-28

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Package caper updated to version 1.0.4 with previous version 1.0.3 dated 2023-09-26

Title: Comparative Analyses of Phylogenetics and Evolution in R
Description: Functions for performing phylogenetic comparative analyses.
Author: David Orme [aut, cre] , Rob Freckleton [aut], Gavin Thomas [aut], Thomas Petzoldt [aut], Susanne Fritz [aut], Nick Isaac [aut], Will Pearse [aut]
Maintainer: David Orme <d.orme@imperial.ac.uk>

Diff between caper versions 1.0.3 dated 2023-09-26 and 1.0.4 dated 2025-08-28

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Package simulist updated to version 0.6.0 with previous version 0.5.0 dated 2025-03-25

Title: Simulate Disease Outbreak Line List and Contacts Data
Description: Tools to simulate realistic raw case data for an epidemic in the form of line lists and contacts using a branching process. Simulated outbreaks are parameterised with epidemiological parameters and can have age-structured populations, age-stratified hospitalisation and death risk and time-varying case fatality risk.
Author: Joshua W. Lambert [aut, cre, cph] , Carmen Tamayo Cuartero [aut] , Hugo Gruson [ctb, rev] , Pratik R. Gupte [ctb, rev] , Adam Kucharski [rev] , Chris Hartgerink [rev] , Sebastian Funk [ctb] , London School of Hygiene and Tropical Medicine, LSHTM [cph [...truncated...]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>

Diff between simulist versions 0.5.0 dated 2025-03-25 and 0.6.0 dated 2025-08-28

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Package Matrix updated to version 1.7-4 with previous version 1.7-3 dated 2025-03-11

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] , pattern="License", full.names=TRUE, recursive=TRUE)), George Karypis [ctb] , Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of C [...truncated...]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.7-3 dated 2025-03-11 and 1.7-4 dated 2025-08-28

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Package fanyi updated to version 0.0.8 with previous version 0.0.7 dated 2024-04-13

Title: Translate Words or Sentences via Online Translators
Description: Useful functions to translate text for multiple languages using online translators. For example, by translating error messages and descriptive analysis results into a language familiar to the user, it enables a better understanding of the information, thereby reducing the barriers caused by language. It offers several helper functions to query gene information to help interpretation of interested genes (e.g., marker genes, differential expression genes), and provides utilities to translate 'ggplot' graphics. This package is not affiliated with any of the online translators. The developers do not take responsibility for the invoice it incurs when using this package, especially for exceeding the free quota.
Author: Guangchuang Yu [aut, cre, cph] , Guannan Chen [ctb], Difei Wang [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between fanyi versions 0.0.7 dated 2024-04-13 and 0.0.8 dated 2025-08-28

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New package scPOEM with initial version 0.1.2
Package: scPOEM
Title: Single-Cell Meta-Path Based Omic Embedding
Version: 0.1.2
Author: Yuntong Hou [aut, cre] , Yan Zhong [aut, ctb] , Yongjian Yang [ctb] , Xinyue Zheng [ctb], James Cai [ctb] , Yeran Chen [ctb], Youshi Chang [ctb]
Description: Provide a workflow to jointly embed chromatin accessibility peaks and expressed genes into a shared low-dimensional space using paired single-cell ATAC-seq (scATAC-seq) and single-cell RNA-seq (scRNA-seq) data. It integrates regulatory relationships among peak-peak interactions (via 'Cicero'), peak-gene interactions (via Lasso, random forest, and XGBoost), and gene-gene interactions (via principal component regression). With the input of paired scATAC-seq and scRNA-seq data matrices, it assigns a low-dimensional feature vector to each gene and peak. Additionally, it supports the reconstruction of gene-gene network with low-dimensional projections (via epsilon-NN) and then the comparison of the networks of two conditions through manifold alignment implemented in 'scTenifoldNet'.
License: GPL (>= 2)
Encoding: UTF-8
Imports: methods, utils, stats, foreach (>= 1.5.2), doParallel (>= 1.0.17), tictoc (>= 1.2.1), Matrix (>= 1.6-3), glmnet (>= 4.1-8), xgboost (>= 1.7.10), reticulate, stringr, magrittr, scTenifoldNet, VGAM (>= 1.1-13), Biobase (>= 2.66.0), BiocGenerics (>= 0.52.0), monocle (>= 2.34.0), cicero (>= 1.24.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-08-23 14:04:03 UTC; qingzhi
Maintainer: Yuntong Hou <houyt223@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 09:00:02 UTC

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New package rcdf with initial version 0.1.0
Package: rcdf
Title: A Comprehensive Toolkit for Working with Encrypted Parquet Files
Version: 0.1.0
Description: Utilities for reading, writing, and managing RCDF files, including encryption and decryption support. It offers a flexible interface for handling data stored in encrypted Parquet format, along with metadata extraction, key management, and secure operations using Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) encryption.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: arrow, duckdb, haven, openxlsx, fs, zip, glue, utils (>= 4.0.0), openssl (>= 2.1.1), dplyr (>= 1.1.0), stringr (>= 1.4.0), jsonlite (>= 1.8.0), DBI (>= 1.1.0), RSQLite (>= 2.2.0), uuid (>= 0.1.2), methods
Suggests: rlang (>= 1.0.2), testthat (>= 3.0.0), cli, devtools, knitr, rmarkdown, mockery, tibble, withr, gt (>= 0.10.0)
BugReports: https://github.com/yng-me/rcdf/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://yng-me.github.io/rcdf/
NeedsCompilation: no
Packaged: 2025-08-23 05:43:52 UTC; bhasabdulsamad
Repository: CRAN
Date/Publication: 2025-08-28 08:50:02 UTC

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Package plgraphics updated to version 1.3 with previous version 1.2 dated 2023-09-29

Title: User Oriented Plotting Functions
Description: Plots with high flexibility and easy handling, including informative regression diagnostics for many models.
Author: Werner A. Stahel [aut, cre], Martin Maechler [ctb]
Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>

Diff between plgraphics versions 1.2 dated 2023-09-29 and 1.3 dated 2025-08-28

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New package pECV with initial version 1.0.1
Package: pECV
Title: Entrywise Splitting Cross-Validation for Factor Models
Version: 1.0.1
Description: Implements entrywise splitting cross-validation (ECV) and its penalized variant (pECV) for selecting the number of factors in generalized factor models.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, Rcpp (>= 1.0.0), irlba
Suggests: mirtjml, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/wangATsu/ECV
BugReports: https://github.com/wangATsu/ECV/issues
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-08-23 02:29:40 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre]
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:07 UTC

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New package ham with initial version 1.0.0
Package: ham
Title: Healthcare Analysis Methods
Version: 1.0.0
Description: Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Harrell (2016, ISBN:978-3-319-19424-0), Kline (1999, ISBN:9780415211581), and Linden (2015) <doi:10.1177/1536867X1501500208>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/szuniga07/ham
BugReports: https://github.com/szuniga07/ham/issues
Imports: methods
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-23 03:28:31 UTC; szuni
Author: Stephen Zuniga [aut, cre, cph]
Maintainer: Stephen Zuniga <rms.shiny@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:11 UTC

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New package gridify with initial version 0.7.4
Package: gridify
Title: Enrich Figures and Tables with Custom Headers and Footers and More
Version: 0.7.4
Description: A simple and flexible tool designed to create enriched figures and tables by providing a way to add text around them through predefined or custom layouts. Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.
License: Apache License 2.0
URL: https://pharmaverse.github.io/gridify/
BugReports: https://github.com/pharmaverse/gridify/issues
Encoding: UTF-8
Imports: grid, methods
Suggests: flextable (>= 0.8.0), ggplot2, gridGraphics, gt (>= 0.11.0), gtable, knitr, magrittr, rmarkdown, rtables, rtables.officer, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-08-23 08:09:26 UTC; maciejnasinski
Author: Maciej Nasinski [aut, cre], Alexandra Wall [aut], Sarah Robson [aut], Pritish Dash [aut], Jennifer Winick-Ng [aut], Lily Nan [ctb], Alphonse Kwizera [ctb], Agota Bodoni [ctb], Eilis Meldrum-Dolan [ctb], Gary Cao [ctb], UCB S.A., Belgium [cph, fnd]
Maintainer: Maciej Nasinski <Maciej.Nasinski@ucb.com>
Repository: CRAN
Date/Publication: 2025-08-28 08:50:16 UTC

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New package GenOU with initial version 0.2.1
Package: GenOU
Title: Sequential Change-Point Tests for Generalized Ornstein-Uhlenbeck Processes
Version: 0.2.1
Description: Sequential change-point tests, parameters estimation, and goodness-of-fit tests for generalized Ornstein-Uhlenbeck processes.
Depends: R (>= 3.5.0), doParallel, parallel, foreach, stats
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-23 01:27:06 UTC; Utilisateur
Author: Yunhong Lyu [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>
Repository: CRAN
Date/Publication: 2025-08-28 08:40:02 UTC

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New package calms with initial version 1.0-1
Package: calms
Title: Comprehensive Analysis of Latent Means
Version: 1.0-1
Encoding: UTF-8
Date: 2025-07-28
Author: Kim Nimon [aut, cre], Julia Fulmore [aut]
Maintainer: Kim Nimon <kim.nimon@gmail.com>
Depends: R (>= 3.5)
Imports: dplyr,DT,foreign,lavaan,lsr,MatchIt,shiny,shinyjs,stringr,bslib
Description: Provides a Shiny application to conduct comprehensive analysis of latent means including the examination of group equivalency, propensity score analysis, measurement invariance analysis, and assessment of latent mean differences of equivalent groups with invariant data. Group equivalency and propensity score analyses are implemented using the 'MatchIt' package [Ho et al. (2011) <doi:10.18637/jss.v042.i08>], ensuring robust control for covariates. Structural equation modeling and invariance testing rely heavily on the 'lavaan' package [Rosseel (2012) <doi:10.18637/jss.v048.i02>], providing a flexible and powerful modeling framework. The application also integrates modified functions from Hammack-Brown et al. (2021) <doi:10.1002/hrdq.21452> to support factor ratio testing and the list-and-delete procedure.
Suggests: knitr,rmarkdown
License: GPL (>= 2)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-23 13:08:06 UTC; kimnimon
Repository: CRAN
Date/Publication: 2025-08-28 09:00:07 UTC

More information about calms at CRAN
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New package auxvecLASSO with initial version 0.2.0
Package: auxvecLASSO
Title: LASSO Auxiliary Variable Selection and Auxiliary Vector Diagnostics
Version: 0.2.0
Description: Provides tools for assessing and selecting auxiliary variables using LASSO. The package includes functions for variable selection and diagnostics, facilitating survey calibration analysis with emphasis on robust auxiliary vector selection. For more details see Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Caughrey and Hartman (2017) <doi:10.2139/ssrn.3494436>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: doParallel, parallelly, Matrix, glmnet, stats, survey, utils, pROC, crayon
Suggests: testthat (>= 3.0.0), foreach, knitr, rmarkdown, withr, sampling, dplyr
VignetteBuilder: knitr
URL: https://github.com/gustafanderssons/auxvecLASSO-R-Package
BugReports: https://github.com/gustafanderssons/auxvecLASSO-R-Package/issues
Language: en
NeedsCompilation: no
Packaged: 2025-08-23 11:27:05 UTC; SCBAFON
Author: Gustaf Andersson [aut, cre, cph]
Maintainer: Gustaf Andersson <gustafanderssons@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 09:00:12 UTC

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New package TheseusPlot with initial version 0.1.1
Package: TheseusPlot
Title: Visualizing Decomposition of Differences in Rate Metrics
Version: 0.1.1
Description: Provides tools for decomposing differences in rate metrics between two groups into contributions from individual subgroups and visualizing them as a "Theseus Plot". Inspired by the story of the Ship of Theseus, the method replaces subgroup data from one group with that of another step by step, recalculating the overall metric at each stage to quantify subgroup contributions. A Theseus Plot combines the stepwise progression of a waterfall plot with the comparative bars of a bar chart, offering an intuitive way to understand subgroup-level effects.
License: MIT + file LICENSE
URL: https://github.com/hoxo-m/TheseusPlot
BugReports: https://github.com/hoxo-m/TheseusPlot/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, forcats, memoise, R6, rlang, stats, stringr, tibble, tidyr, waterfalls
Suggests: nycflights13
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-22 23:37:50 UTC; akagi
Author: Koji Makiyama [aut, cre, cph], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-28 07:50:06 UTC

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New package terminalgraphics with initial version 0.1.1
Package: terminalgraphics
Title: Graphical Output in Terminals
Version: 0.1.1
Description: Defines a graphics device and functions for graphical output in terminal emulators that support graphical output. Currently terminals that support the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) and terminal supporting Sixel (<https://en.wikipedia.org/wiki/Sixel>) are supported.
BugReports: https://codeberg.org/djvanderlaan/terminalgraphics/issues
URL: https://codeberg.org/djvanderlaan/terminalgraphics
Depends: R (>= 4.1.0)
Imports: Rcpp, utils, graphics, grDevices, ragg, base64enc
Suggests: magick
LinkingTo: Rcpp
License: GPL-3
SystemRequirements: A terminal emulator supporting the Terminal Graphics Protocol (<https://sw.kovidgoyal.net/kitty/graphics-protocol/>) or Sixel.
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-08-22 20:54:32 UTC; eoos
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:02 UTC

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New package SMMAL with initial version 0.0.5
Package: SMMAL
Title: Semi-Supervised Estimation of Average Treatment Effects
Version: 0.0.5
Description: Provides a pipeline for estimating the average treatment effect via semi-supervised learning. Outcome regression is fit with cross-fitting using various machine learning method or user customized function. Doubly robust ATE estimation leverages both labeled and unlabeled data under a semi-supervised missing-data framework. For more details see Hou et al. (2021) <doi:10.48550/arxiv.2110.12336>. A detailed vignette is included.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: glmnet,randomForest,splines2,xgboost,stats,utils
Suggests: knitr,rmarkdown,testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-31 16:01:38 UTC; 16102
Author: Jue Hou [aut, cre], Yuming Zhang [aut], Shuheng Kong [aut]
Maintainer: Jue Hou <hou00123@umn.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:30:07 UTC

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New package pubchem.bio with initial version 1.0.0
Package: pubchem.bio
Title: Biologically Informed Metabolomic Databases from 'PubChem'
Version: 1.0.0
Description: All 'PubChem' compounds are downloaded to a local computer, but for each compound, only partial records are used. The data are organized into small files referenced by 'PubChem' CID. This package also contains functions to parse the biologically relevant compounds from all 'PubChem' compounds, using biological database sources, pathway presence, and taxonomic relationships. Taxonomy is used to generate a lowest common ancestor taxonomy ID (NCBI) for each biological metabolite, which then enables creation of taxonomically specific metabolome databases for any taxon.
License: GPL-3
Encoding: UTF-8
Imports: foreach, doParallel, R.utils, data.table, dplyr, rcdk, stringr
Depends: R (>= 3.5.0)
LazyData: true
Suggests: utils, knitr, rmarkdown, formatR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 23:01:51 UTC; cbroeckl
Author: Corey Broeckling [aut, cre]
Maintainer: Corey Broeckling <cbroeckl@colostate.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:07 UTC

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New package kfre with initial version 0.0.2
Package: kfre
Title: Kidney Failure Risk Equation (KFRE) Tools
Version: 0.0.2
Description: Implements the Kidney Failure Risk Equation (KFRE; Tangri and colleagues (2011) <doi:10.1001/jama.2011.451>; Tangri and colleagues (2016) <doi:10.1001/jama.2015.18202>) to compute 2- and 5-year kidney failure risk using 4-, 6-, and 8-variable models. Includes helpers to append risk columns to data frames, classify chronic kidney disease (CKD) stages and end-stage renal disease (ESRD) outcomes, and evaluate and plot model performance.
License: MIT + file LICENSE
URL: https://github.com/lshpaner/kfre_r, https://lshpaner.github.io/kfre_r/
BugReports: https://github.com/lshpaner/kfre_r/issues
Depends: R (>= 3.6)
Imports: ggplot2, grDevices, R6
Suggests: devtools, knitr, readxl, rmarkdown, rprojroot, spelling, svglite, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-08-22 22:25:34 UTC; lshpaner
Author: Leonid Shpaner [aut, cre]
Maintainer: Leonid Shpaner <lshpaner@ucla.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:40:12 UTC

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Package cols4all updated to version 0.9 with previous version 0.8 dated 2024-10-16

Title: Colors for all
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes cyclic and bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Author: Martijn Tennekes [aut, cre], Marco Puts [ctb], Achim Zeileis [ctb], Jakub Nowosad [ctb], Robin Lovelace [ctb], Helgasoft [ctb], Matthew Petroff [ctb], Olivier Roy [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between cols4all versions 0.8 dated 2024-10-16 and 0.9 dated 2025-08-28

 DESCRIPTION              |   15 +++---
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New package caradpt with initial version 0.1.0
Package: caradpt
Title: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials
Version: 0.1.0
Description: Tools for implementing covariate-adjusted response-adaptive procedures for binary, continuous and survival responses. Users can flexibly choose between two functions based on their specific needs for each procedure: use real patient data from clinical trials to compute allocation probabilities directly, or use built-in simulation functions to generate synthetic patient data. Detailed methodologies and algorithms used in this package are described in the following references: Zhang, L. X., Hu, F., Cheung, S. H., & Chan, W. S. (2007)<doi:10.1214/009053606000001424> Zhang, L. X. & Hu, F. (2009) <doi:10.1007/s11766-009-0001-6> Hu, J., Zhu, H., & Hu, F. (2015) <doi:10.1080/01621459.2014.903846> Zhao, W., Ma, W., Wang, F., & Hu, F. (2022) <doi:10.1002/pst.2160> Mukherjee, A., Jana, S., & Coad, S. (2024) <doi:10.1177/09622802241287704>.
License: GPL-3
Imports: survival
Depends: R (>= 3.6.0)
Encoding: UTF-8
Maintainer: Renjie Luo <jerry.luorj@gmail.com>
NeedsCompilation: no
Packaged: 2025-08-22 18:19:27 UTC; renjieluo
Author: Renjie Luo [aut, cre], Feifang Hu [aut, ctb]
Repository: CRAN
Date/Publication: 2025-08-28 07:30:02 UTC

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New package BSTFA with initial version 0.1.0
Package: BSTFA
Title: Bayesian Spatio-Temporal Factor Analysis Model
Description: Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes. Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.
Version: 0.1.0
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5)
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
LazyDataCompression: xz
Imports: MASS, RColorBrewer, ggplot2, ggpubr, mgcv, MCMCpack, coda, npreg, matrixcalc, scatterplot3d, sf, Rcpp, lubridate, Matrix, stats, methods, RcppArmadillo
Suggests: knitr, rmarkdown, utils, devtools, kableExtra, bookdown, magick, maps, loo
NeedsCompilation: yes
Packaged: 2025-08-22 18:27:39 UTC; cberrett
Author: Adam Simpson [aut], Candace Berrett [aut, cre]
Maintainer: Candace Berrett <cberrett@stat.byu.edu>
Repository: CRAN
Date/Publication: 2025-08-28 07:30:13 UTC

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Package interpret (with last version 0.1.34) was removed from CRAN

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

2024-11-28 0.1.34

Permanent link
Package survey updated to version 4.4-8 with previous version 4.4-2 dated 2024-03-20

Title: Analysis of Complex Survey Samples
Description: Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Small-area estimation.
Author: Thomas Lumley [aut], Peter Gao [aut], Ben Schneider [aut], "Thomas Lumley" [cre]
Maintainer: "Thomas Lumley" <t.lumley@auckland.ac.nz>

Diff between survey versions 4.4-2 dated 2024-03-20 and 4.4-8 dated 2025-08-28

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 src/arma_multistage.cpp    |    4 ++--
 16 files changed, 47 insertions(+), 29 deletions(-)

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Package gtsummary updated to version 2.4.0 with previous version 2.3.0 dated 2025-07-03

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Joseph Larmarange [aut] , Michael Curry [aut] , Emily de la Rua [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Malcolm Barrett [ctb] , Esther Drill [ctb] , Jessica Flynn [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

Diff between gtsummary versions 2.3.0 dated 2025-07-03 and 2.4.0 dated 2025-08-28

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 tests/testthat/test-tbl_ard_hierarchical.R              |   40 
 tests/testthat/test-tbl_ard_summary.R                   |   72 -
 tests/testthat/test-tbl_ard_wide_summary.R              |   20 
 tests/testthat/test-tbl_butcher.R                       |    2 
 tests/testthat/test-tbl_hierarchical.R                  |   10 
 tests/testthat/test-tbl_merge.R                         |    4 
 tests/testthat/test-tbl_regression.R                    |    2 
 tests/testthat/test-tbl_split.R                         |   32 
 tests/testthat/test-tbl_stack.R                         |    9 
 tests/testthat/test-tbl_strata.R                        |    5 
 tests/testthat/test-tbl_summary.R                       |    4 
 tests/testthat/test-tbl_survfit.R                       |    2 
 tests/testthat/test-theme_elements_gtsummary.R          |    2 
 tests/testthat/test-theme_gtsummary.R                   |    2 
 186 files changed, 1803 insertions(+), 1309 deletions(-)

More information about gtsummary at CRAN
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