Fri, 04 Jul 2025

Package confidence updated to version 1.1-3 with previous version 1.1-2 dated 2017-07-01

Title: Confidence Estimation of Environmental State Classifications
Description: Functions for estimating and reporting multi-year averages and corresponding confidence intervals and distributions. A potential use case is reporting the chemical and ecological status of surface waters according to the European Water Framework Directive.
Author: Willem van Loon [aut, cph], Dennis Walvoort [aut, cre]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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New package viralx with initial version 1.3.1
Package: viralx
Title: Explainers for Regression Models in HIV Research
Version: 1.3.1
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>
Description: A dedicated viral-explainer model tool designed to empower researchers in the field of HIV research, particularly in viral load and CD4 (Cluster of Differentiation 4) lymphocytes regression modeling. Drawing inspiration from the 'tidymodels' framework for rigorous model building of Max Kuhn and Hadley Wickham (2020) <https://www.tidymodels.org>, and the 'DALEXtra' tool for explainability by Przemyslaw Biecek (2020) <doi:10.48550/arXiv.2009.13248>. It aims to facilitate interpretable and reproducible research in biostatistics and computational biology for the benefit of understanding HIV dynamics.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: Cubist, dplyr, earth, kknn, rsample, rules, testthat (>= 3.0.0), vdiffr
Depends: R (>= 4.1.0)
LazyData: true
Imports: DALEX, DALEXtra, parsnip, recipes, stats, workflows
URL: https://github.com/juanv66x/viralx
BugReports: https://github.com/juanv66x/viralx/issues
NeedsCompilation: no
Packaged: 2025-07-04 15:58:42 UTC; jp
Author: Juan Pablo Acuna Gonzalez [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-04 21:40:02 UTC

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Package stepmixr updated to version 0.1.3 with previous version 0.1.2 dated 2024-01-09

Title: Interface to 'Python' Package 'StepMix'
Description: This is an interface for the 'Python' package 'StepMix'. It is a 'Python' package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. 'StepMix' handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings. Software paper available at <doi:10.18637/jss.v113.i08>.
Author: Eric Lacourse [aut], Roxane de la Sablonniere [aut], Charles-Edouard Giguere [aut, cre], Sacha Morin [aut], Robin Legault [aut], Felix Laliberte [aut], Zsusza Bakk [ctb]
Maintainer: Charles-Edouard Giguere <ce.giguere@gmail.com>

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Package rcrisp updated to version 0.1.4 with previous version 0.1.3 dated 2025-07-02

Title: Automate the Delineation of Urban River Spaces
Description: Provides tools to automate the morphological delineation of riverside urban areas, based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Fakhereh Alidoost [ctb] , Meiert Willem Grootes [ctb] , Netherlands eScience Center [fnd]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>

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New package semEffect with initial version 1.2.3
Package: semEffect
Title: Structural Equation Model Effect Analysis and Visualization
Version: 1.2.3
Description: Provides standardized effect decomposition (direct, indirect, and total effects) for three major structural equation modeling frameworks: 'lavaan', 'piecewiseSEM', and 'plspm'. Automatically handles zero-effect variables, generates publication-ready 'ggplot2' visualizations, and returns both wide-format and long-format effect tables. Supports effect filtering, multi-model object inputs, and customizable visualization parameters. For a general overview of the methods used in this package, see Rosseel (2012) <doi:10.18637/jss.v048.i02> and Lefcheck (2016) <doi:10.1111/2041-210X.12512>.
URL: https://github.com/PhDMeiwp/semEffect/
BugReports: https://github.com/PhDMeiwp/semEffect/issues
Depends: R (>= 4.4.0)
License: GPL-3
Encoding: UTF-8
Imports: lavaan, piecewiseSEM, plspm, ggplot2, tidyr, dplyr, utils, checkmate, RColorBrewer
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-06-30 06:54:47 UTC; meiwe
Author: Weiping Mei [aut, cre]
Maintainer: Weiping Mei <meiweipingg@163.com>
Repository: CRAN
Date/Publication: 2025-07-04 19:30:01 UTC

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Package pillar updated to version 1.11.0 with previous version 1.10.2 dated 2025-04-05

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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New package hmde with initial version 1.2.1
Package: hmde
Title: Hierarchical Methods for Differential Equations
Version: 1.2.1
Description: Wrapper for Stan that offers a number of in-built models to implement a hierarchical Bayesian longitudinal model for repeat observation data. Model choice selects the differential equation that is fit to the observations. Single and multi-individual models are available. O'Brien et al. (2024) <doi:10.1111/2041-210X.14463>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.1.0)
Imports: methods, dplyr, ggplot2, purrr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.3.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, mnormt, here, patchwork, deSolve, cowplot, mixtools, MASS
VignetteBuilder: knitr
LazyData: true
URL: https://traitecoevo.github.io/hmde/
BugReports: https://github.com/traitecoevo/hmde/issues
NeedsCompilation: yes
Packaged: 2025-06-30 03:03:43 UTC; tess
Author: Daniel Falster [aut, ctb] , Tess O'Brien [aut, cre, cph] , Fonti Kar [ctb] , David Warton [aut, ctb]
Maintainer: Tess O'Brien <tess_obrien@fastmail.com>
Repository: CRAN
Date/Publication: 2025-07-04 19:20:06 UTC

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Package ggpedigree updated to version 0.8.0 with previous version 0.7.0 dated 2025-06-09

Title: Visualizing Pedigrees with 'ggplot2' and 'plotly'
Description: Provides plotting functions for visualizing pedigrees in behavior genetics and kinship research. The package complements 'BGmisc' [Garrison et al. (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2' framework and offers a modern alternative to the base-graphics pedigree plot in 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. Features include support for duplicated individuals, complex mating structures, integration with simulated pedigrees, and layout customization.
Author: S. Mason Garrison [aut, cre, cph]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

Diff between ggpedigree versions 0.7.0 dated 2025-06-09 and 0.8.0 dated 2025-07-04

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New package BayesBrainMap with initial version 0.1.3
Package: BayesBrainMap
Title: Estimate Brain Networks and Connectivity with Population-Derived Priors
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Implements Bayesian brain mapping models, including the prior ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial prior ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Depends: R (>= 3.6.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/testing
Encoding: UTF-8
Imports: abind, fMRItools (>= 0.5.3), fMRIscrub (>= 0.14.5), foreach, Matrix, matrixStats, methods, pesel, SQUAREM, stats, utils
Suggests: ciftiTools (>= 0.13.2), excursions, RNifti, oro.nifti, gifti, parallel, doParallel, knitr, rmarkdown, INLA, testthat (>= 3.0.0)
URL: https://github.com/mandymejia/BayesBrainMap
BugReports: https://github.com/mandymejia/BayesBrainMap/issues
NeedsCompilation: no
Packaged: 2025-06-28 21:13:52 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Repository: CRAN
Date/Publication: 2025-07-04 18:40:02 UTC

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Package WARDEN updated to version 1.2.4 with previous version 1.2.2 dated 2025-06-25

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package PoSIAdjRSquared updated to version 0.1.0 with previous version 0.0.0.1 dated 2024-08-26

Title: Post-Selection Inference for Adjusted R Squared
Description: Conduct post-selection inference for regression coefficients in linear models after they have been selected by adjusted R squared. The p-values and confidence intervals are valid after model selection with the same data. This allows the user to use all data for both model selection and inference without losing control over the type I error rate. The provided tests are more powerful than data splitting, which bases inference on less data since it discards all information used for selection.
Author: Sarah Pirenne [aut, cre] , Gerda Claeskens [aut]
Maintainer: Sarah Pirenne <sarah.pirenne@kuleuven.be>

Diff between PoSIAdjRSquared versions 0.0.0.1 dated 2024-08-26 and 0.1.0 dated 2025-07-04

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Package latrend updated to version 1.6.2 with previous version 1.6.1 dated 2024-05-15

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.
Author: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

Diff between latrend versions 1.6.1 dated 2024-05-15 and 1.6.2 dated 2025-07-04

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Package admiralophtha updated to version 1.3.0 with previous version 1.2.0 dated 2025-01-16

Title: ADaM in R Asset Library - Ophthalmology
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Edoardo Mancini [aut, cre] , Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Josie Jackson [aut], Sonali Jain [aut], Yuki Matsunaga [aut], Gordon Miller [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut], Aldrich Salv [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package qch updated to version 2.1.0 with previous version 2.0.0 dated 2024-03-29

Title: Query Composite Hypotheses
Description: Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2023) <doi:10.1101/2024.03.17.585412>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Author: Tristan Mary-Huard [aut, cre] , Annaig De Walsche [aut] , Franck Gauthier [ctb]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>

Diff between qch versions 2.0.0 dated 2024-03-29 and 2.1.0 dated 2025-07-04

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Permanent link

New package HaDeX with initial version 1.2.3
Package: HaDeX
Title: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
Version: 1.2.3
Description: Functions for processing, analysis and visualization of Hydrogen Deuterium eXchange monitored by Mass Spectrometry experiments (HDX-MS) (<doi:10.1093/bioinformatics/btaa587>). 'HaDeX' introduces a new standardized and reproducible workflow for the analysis of the HDX-MS data, including novel uncertainty intervals. Additionally, it covers data exploration, quality control and generation of publication-quality figures. All functionalities are also available in the in-built 'Shiny' app.
Depends: R (>= 3.0)
License: GPL-3
Encoding: UTF-8
Imports: data.table, dplyr, ggplot2, latex2exp, reshape2, readr, readxl, shiny, tidyr
Suggests: spelling, covr, digest, DT, gridExtra, gsubfn, knitr, pander, renv, rmarkdown, shinycssloaders, shinyhelper, shinyjs, stringr, testthat, vdiffr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-07-04 09:15:50 UTC; User
Author: Weronika Puchala [cre, aut] , Michal Burdukiewicz [aut] , Dominik Rafacz [ctb]
Maintainer: Weronika Puchala <puchala.weronika@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-04 12:20:02 UTC

More information about HaDeX at CRAN
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Package lares updated to version 5.3.1 with previous version 5.3.0 dated 2025-06-25

Title: Lean Analytics and Robust Exploration Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.3.0 dated 2025-06-25 and 5.3.1 dated 2025-07-04

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Package pharmaversesdtm updated to version 1.3.0 with previous version 1.2.0 dated 2025-01-23

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Fanny Gautier [aut] , Gayatri G [aut], Kangjie Zhang [aut], Lina Patil [aut], Pooja Kumari [aut], Sadchla Mascary [aut], Stefan Bundfuss [aut] , Tomoyuki Namai [aut], Vinh Nguyen [aut], Vladyslav Shuliar [aut] , Zelos Zhu [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

Diff between pharmaversesdtm versions 1.2.0 dated 2025-01-23 and 1.3.0 dated 2025-07-04

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Package litteR updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-26

Title: Litter Analysis
Description: Data sets on various litter types like beach litter, riverain litter, floating litter, and seafloor litter are rapidly growing. This package offers a simple user interface to analyse these litter data in a consistent and reproducible way. It also provides functions to facilitate several kinds of litter analysis, e.g., trend analysis, power analysis, and baseline analysis. Under the hood, these functions are also used by the user interface. See Schulz et al. (2019) <doi:10.1016/j.envpol.2019.02.030> for details. MS-Windows users are advised to run 'litteR' in 'RStudio'. See our vignette: Installation manual for 'RStudio' and 'litteR'.
Author: Dennis Walvoort [aut, cre, cph], Willem van Loon [aut, cph], Rijkswaterstaat - The Netherlands [cph, fnd, dtc]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

Diff between litteR versions 1.0.0 dated 2022-08-26 and 1.0.1 dated 2025-07-04

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Package mgcViz updated to version 0.2.1 with previous version 0.2.0 dated 2025-04-11

Title: Visualisations for Generalized Additive Models
Description: Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models that exploit the additive structure of such models, scale to large data sets and can be used in conjunction with a wide range of response distributions. The focus is providing visual methods for better understanding the model output and for aiding model checking and development beyond simple exponential family regression. The graphical framework is based on the layering system provided by 'ggplot2'.
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut], Yannig Goude [ctb], Christian Capezza [ctb], Simon N. Wood [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

Diff between mgcViz versions 0.2.0 dated 2025-04-11 and 0.2.1 dated 2025-07-04

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Package icmstate updated to version 0.2.0 with previous version 0.1.1 dated 2024-11-08

Title: Interval Censored Multi-State Models
Description: Allows for the non-parametric estimation of transition intensities in interval-censored multi-state models using the approach of Gomon and Putter (2024) <doi:10.48550/arXiv.2409.07176> or Gu et al. (2023) <doi:10.1093/biomet/asad073>.
Author: Daniel Gomon [aut, cre] , Hein Putter [aut]
Maintainer: Daniel Gomon <dgstatsoft@gmail.com>

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Package CalibrationCurves updated to version 2.0.6 with previous version 2.0.4 dated 2025-01-18

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

Diff between CalibrationCurves versions 2.0.4 dated 2025-01-18 and 2.0.6 dated 2025-07-04

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More information about CalibrationCurves at CRAN
Permanent link

Package BCEA updated to version 2.4.8 with previous version 2.4.7 dated 2025-01-14

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Author: Gianluca Baio [aut, cre, cph] , Andrea Berardi [aut] , Anna Heath [aut] , Nathan Green [aut]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>

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Package sampcompR updated to version 0.3.1.2 with previous version 0.3.1.1 dated 2025-07-02

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package equatiomatic updated to version 0.3.7 with previous version 0.3.6 dated 2025-03-10

Title: Transform Models into 'LaTeX' Equations
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package benthos updated to version 1.3-9 with previous version 1.3-8 dated 2022-08-22

Title: Marine Benthic Ecosystem Analysis
Description: Preprocessing tools and biodiversity measures (species abundance, species richness, population heterogeneity and sensitivity) for analysing marine benthic data. See Van Loon et al. (2015) <doi:10.1016/j.seares.2015.05.002> for an application of these tools.
Author: Dennis Walvoort [aut, cre, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package clmplus (with last version 1.0.0) was removed from CRAN

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

2024-05-15 1.0.0
2022-12-14 0.1.0
2022-09-01 0.0.1

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Package HVT updated to version 25.2.5 with previous version 25.2.4 dated 2025-06-10

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for data analysis.
Author: Zubin Dowlaty [aut, cre], Mu Sigma, Inc. [cph]
Maintainer: Zubin Dowlaty <zubin.dowlaty@mu-sigma.com>

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Package biometryassist updated to version 1.3.1 with previous version 1.3.0 dated 2025-06-11

Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], University of Adelaide [cph, fnd] , Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>

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Package openxlsx2 updated to version 1.17 with previous version 1.16 dated 2025-06-05

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package tern.mmrm updated to version 0.3.3 with previous version 0.3.2 dated 2024-09-23

Title: Tables and Graphs for Mixed Models for Repeated Measures (MMRM)
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. This package provides an interface for fitting MMRM within the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.
Author: Daniel Sabanes Bove [aut], Joe Zhu [aut, cre] , Godwin Yung [aut], Francois Collin [aut], Julia Dedic [aut], Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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