Sun, 19 Oct 2025

Package sMSROC updated to version 0.1.3 with previous version 0.1.2 dated 2023-12-07

Title: Assessment of Diagnostic and Prognostic Markers
Description: Provides estimations of the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) based on the two-stages mixed-subjects ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).
Author: Susana Diaz-Coto [aut], Susana Diaz-Coto [cre]
Maintainer: Susana Diaz-Coto <susanacoto@gmail.com>

Diff between sMSROC versions 0.1.2 dated 2023-12-07 and 0.1.3 dated 2025-10-19

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Package RMSD updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-06

Title: Refined Modified Stahel-Donoho Estimators for Outlier Detection
Description: A function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.
Author: Kazumi Wada [aut, cre]
Maintainer: Kazumi Wada <kazwd2008@gmail.com>

Diff between RMSD versions 0.1.0 dated 2023-11-06 and 0.1.1 dated 2025-10-19

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More information about RMSD at CRAN
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Package semmcci updated to version 1.1.5 with previous version 1.1.4 dated 2024-03-17

Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function or the MCMI() function to the MCStd() function. A description of the package and code examples are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between semmcci versions 1.1.4 dated 2024-03-17 and 1.1.5 dated 2025-10-19

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Package deforestable updated to version 3.1.2 with previous version 3.1.1 dated 2022-10-15

Title: Classify RGB Images into Forest or Non-Forest
Description: Implements two out-of box classifiers presented in <doi:10.1002/env.2848> for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set.
Author: Jesper Muren [aut] , Dmitry Otryakhin [aut, cre]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

Diff between deforestable versions 3.1.1 dated 2022-10-15 and 3.1.2 dated 2025-10-19

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Package betaSandwich updated to version 1.0.8 with previous version 1.0.7 dated 2024-04-14

Title: Robust Confidence Intervals for Standardized Regression Coefficients
Description: Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaSandwich versions 1.0.7 dated 2024-04-14 and 1.0.8 dated 2025-10-19

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More information about betaSandwich at CRAN
Permanent link

Package betaNB updated to version 1.0.6 with previous version 1.0.5 dated 2025-01-09

Title: Bootstrap for Regression Effect Sizes
Description: Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaNB versions 1.0.5 dated 2025-01-09 and 1.0.6 dated 2025-10-19

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More information about betaNB at CRAN
Permanent link

Package betaMC updated to version 1.3.3 with previous version 1.3.2 dated 2024-04-14

Title: Monte Carlo for Regression Effect Sizes
Description: Generates Monte Carlo confidence intervals for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm(). 'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect (Pesigan and Cheung, 2024 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to generate confidence intervals effect sizes in regression.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaMC versions 1.3.2 dated 2024-04-14 and 1.3.3 dated 2025-10-19

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More information about betaMC at CRAN
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Package betaDelta updated to version 1.0.6 with previous version 1.0.5 dated 2024-04-14

Title: Confidence Intervals for Standardized Regression Coefficients
Description: Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between betaDelta versions 1.0.5 dated 2024-04-14 and 1.0.6 dated 2025-10-19

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Package HDShOP updated to version 0.1.6 with previous version 0.1.5 dated 2024-03-25

Title: High-Dimensional Shrinkage Optimal Portfolios
Description: Constructs shrinkage estimators of high-dimensional mean-variance portfolios and performs high-dimensional tests on optimality of a given portfolio. The techniques developed in Bodnar et al. (2018 <doi:10.1016/j.ejor.2017.09.028>, 2019 <doi:10.1109/TSP.2019.2929964>, 2020 <doi:10.1109/TSP.2020.3037369>, 2021 <doi:10.1080/07350015.2021.2004897>) are central to the package. They provide simple and feasible estimators and tests for optimal portfolio weights, which are applicable for 'large p and large n' situations where p is the portfolio dimension (number of stocks) and n is the sample size. The package also includes tools for constructing portfolios based on shrinkage estimators of the mean vector and covariance matrix as well as a new Bayesian estimator for the Markowitz efficient frontier recently developed by Bauder et al. (2021) <doi:10.1080/14697688.2020.1748214>.
Author: Taras Bodnar [aut] , Solomiia Dmytriv [aut] , Yarema Okhrin [aut] , Dmitry Otryakhin [aut, cre] , Nestor Parolya [aut]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>

Diff between HDShOP versions 0.1.5 dated 2024-03-25 and 0.1.6 dated 2025-10-19

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Package henna updated to version 0.3.4 with previous version 0.2.5 dated 2025-09-18

Title: A Versatile Visualization Suite
Description: A visualization suite primarily designed for single-cell RNA-sequencing data analysis applications, but adaptable to other purposes as well. It introduces novel plots to represent two-variable and frequency data and optimizes some commonly used plotting options (e.g., correlation, network, density and alluvial plots) for ease of usage and flexibility.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>

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New package RPIV with initial version 1.0.0
Package: RPIV
Title: Residual Prediction Test for Well-Specification of Instrumental Variable Models
Version: 1.0.0
Description: A test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.
URL: https://github.com/cyrillsch/RPIV
License: GPL (>= 3)
Encoding: UTF-8
Imports: ranger, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-14 12:07:48 UTC; scyrill
Author: Cyrill Scheidegger [aut, cre, cph]
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-10-19 13:10:07 UTC

More information about RPIV at CRAN
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New package lightsf with initial version 0.1.0
Package: lightsf
Title: A Curated Collection of Georeferenced and Spatial Datasets
Version: 0.1.0
Maintainer: Ingrid Romero Pinilla <ingridpinilla11@gmail.com>
Description: Provides a diverse collection of georeferenced and spatial datasets from different domains including urban studies, housing markets, environmental monitoring, transportation, and socio-economic indicators. The package consolidates datasets from multiple open sources such as Kaggle, chopin, spData, adespatial, and bivariateLeaflet. It is designed for researchers, analysts, and educators interested in spatial analysis, geostatistics, and geographic data visualization. The datasets include point patterns, polygons, socio-economic data frames, and network-like structures, allowing flexible exploration of geospatial phenomena.
License: GPL-3
URL: https://github.com/roming20/lightsf, https://roming20.github.io/lightsf/
BugReports: https://github.com/roming20/lightsf/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-14 03:40:58 UTC; ingri
Author: Ingrid Romero Pinilla [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-10-19 13:10:02 UTC

More information about lightsf at CRAN
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Package import updated to version 1.3.4 with previous version 1.3.3 dated 2025-10-11

Title: An Import Mechanism for R
Description: Alternative mechanism for importing objects from packages and R modules. The syntax allows for importing multiple objects with a single command in an expressive way. The import package bridges some of the gap between using library (or require) and direct (single-object) imports. Furthermore the imported objects are not placed in the current environment.
Author: Stefan Milton Bache [aut], Magnus Thor Torfason [aut, cre]
Maintainer: Magnus Thor Torfason <m@zulutime.net>

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Package visualpred updated to version 0.1.2 with previous version 0.1.1 dated 2024-11-07

Title: Visualization 2D of Binary Classification Models
Description: Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.
Author: Javier Portela [aut, cre]
Maintainer: Javier Portela <javipgm@gmail.com>

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Package mlt updated to version 1.7-0 with previous version 1.6-6 dated 2025-06-17

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package guideR updated to version 0.5.0 with previous version 0.4.1 dated 2025-09-16

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package AssumpSure updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-18

Title: 'shiny' Application for Statistical Test Assumption Checking and Guidance
Description: A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.
Author: Ahmed Bargheet [aut, cre]
Maintainer: Ahmed Bargheet <ahmed.bargheet@yahoo.com>

Diff between AssumpSure versions 1.1.1 dated 2025-09-18 and 1.1.2 dated 2025-10-19

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Package ebirdst updated to version 3.2023.1 with previous version 3.2023.0 dated 2025-05-07

Title: Access and Analyze eBird Status and Trends Data Products
Description: Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package brfinance updated to version 0.2.2 with previous version 0.2.1 dated 2025-10-17

Title: Simplified Access to Brazilian Financial and Macroeconomic Data
Description: It offers simplified access to Brazilian macroeconomic and financial indicators selected from official sources, such as the 'IBGE' (Brazilian Institute of Geography and Statistics) via the 'SIDRA' API and the 'Central Bank of Brazil' via the 'SGS' API. It allows users to quickly retrieve and visualize data series such as the unemployment rate and the Selic interest rate. This package was developed for data access and visualization purposes, without generating forecasts or statistical results. For more information, see the official APIs: <https://sidra.ibge.gov.br/> and <https://dadosabertos.bcb.gov.br/dataset/>.
Author: Joao Paulo dos Santos Pereira Barbosa [aut, cre]
Maintainer: Joao Paulo dos Santos Pereira Barbosa <joao.31582129@gmail.com>

Diff between brfinance versions 0.2.1 dated 2025-10-17 and 0.2.2 dated 2025-10-19

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Package PMwR updated to version 1.1-0 with previous version 1.0-1 dated 2024-10-19

Title: Portfolio Management with R
Description: Tools for the practical management of financial portfolios: backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more. The package provides a small set of reliable, efficient and convenient tools for processing and analysing trade/portfolio data. The manual provides all the details; it is available from <https://enricoschumann.net/R/packages/PMwR/manual/PMwR.html>. Examples and descriptions of new features are provided at <https://enricoschumann.net/notes/PMwR/>.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package matrixCorr (with last version 0.5.1) was removed from CRAN

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

2025-09-22 0.5.1
2025-08-26 0.3.1

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Package baker (with last version 1.0.3) was removed from CRAN

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

2024-01-30 1.0.3
2023-12-21 1.0.2

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Package tinytable updated to version 0.15.0 with previous version 0.14.0 dated 2025-09-29

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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 R/grid_colspan.R                                                              |    9 
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 R/group_tt_j.R                                                                |   16 
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 R/sanity.R                                                                    |    2 
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 R/typst_tt.R                                                                  |    6 
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 man/plot_tt.Rd                                                                |   30 
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More information about tinytable at CRAN
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Package Synth updated to version 1.1-9 with previous version 1.1-8 dated 2023-06-02

Title: Synthetic Control Group Method for Comparative Case Studies
Description: Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
Author: Jens Hainmueller [aut, cre], Alexis Diamond [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

Diff between Synth versions 1.1-8 dated 2023-06-02 and 1.1-9 dated 2025-10-19

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Package HARplus updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-13

Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>

Diff between HARplus versions 1.0.1 dated 2025-03-13 and 1.1.0 dated 2025-10-19

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Package growthPheno updated to version 3.1.18 with previous version 3.1.13 dated 2025-07-22

Title: Functional Analysis of Phenotypic Growth Data to Smooth and Extract Traits
Description: Assists in the plotting and functional smoothing of traits measured over time and the extraction of features from these traits, implementing the SET (Smoothing and Extraction of Traits) method described in Brien et al. (2020) Plant Methods, 16. Smoothing of growth trends for individual plants using natural cubic smoothing splines or P-splines is available for removing transient effects and segmented smoothing is available to deal with discontinuities in growth trends. There are graphical tools for assessing the adequacy of trait smoothing, both when using this and other packages, such as those that fit nonlinear growth models. A range of per-unit (plant, pot, plot) growth traits or features can be extracted from the data, including single time points, interval growth rates and other growth statistics, such as maximum growth or days to maximum growth. The package also has tools adapted to inputting data from high-throughput phenotyping facilities, such from a Lemna-Tec Scananalyzer 3D ( [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between growthPheno versions 3.1.13 dated 2025-07-22 and 3.1.18 dated 2025-10-19

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Package diffdf updated to version 1.1.2 with previous version 1.1.1 dated 2024-09-24

Title: Dataframe Difference Tool
Description: Functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.
Author: Craig Gower-Page [cre, aut], Kieran Martin [aut]
Maintainer: Craig Gower-Page <craiggower@gmail.com>

Diff between diffdf versions 1.1.1 dated 2024-09-24 and 1.1.2 dated 2025-10-19

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Package tidypaleo updated to version 0.1.4 with previous version 0.1.3 dated 2023-01-18

Title: Tidy Tools for Paleoenvironmental Archives
Description: Provides a set of functions with a common framework for age-depth model management, stratigraphic visualization, and common statistical transformations. The focus of the package is stratigraphic visualization, for which 'ggplot2' components are provided to reproduce the scales, geometries, facets, and theme elements commonly used in publication-quality stratigraphic diagrams. Helpers are also provided to reproduce the exploratory statistical summaries that are frequently included on stratigraphic diagrams. See Dunnington et al. (2021) <doi:10.18637/jss.v101.i07>.
Author: Dewey Dunnington [aut, cre, cph]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between tidypaleo versions 0.1.3 dated 2023-01-18 and 0.1.4 dated 2025-10-19

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