Thu, 18 Sep 2025

Package UnalR updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-25

Title: Una implementación de funciones de uso interno
Description: Una herramienta rápida y consistente para la disposición de microdatos y la visualización de las cifras y estadísticas oficiales de la Universidad Nacional de Colombia <https://unal.edu.co>. Contiene una biblioteca de funciones gráficas, tanto estáticas como interactivas, que ofrece numerosos tipos de gráficos con una sintaxis altamente configurable y simple. Entre estos encontramos la visualización de tablas HTML, series, gráficos de barras y circulares, mapas, etc. Todo lo anterior apoyado en bibliotecas de JavaScript. English: A fast and consistent tool for the arrangement of microdata and the visualization of official figures and statistics from the National University of Colombia <https://unal.edu.co>. It includes a library of graphical functions, both static and interactive, offering numerous types of charts with a highly configurable and simple syntax. Among these, we find the visualization of HTML tables, series, bar and pie charts, maps, etc. It provides the capabi [...truncated...]
Author: Jeison Alarcon [aut, cre, ctr] , Alberto Rodriguez [aut, rev], Direccion Nacional de Planeacion y Estadistica Universidad Nacional de Colombia [cph, fnd]
Maintainer: Jeison Alarcon <jmalarconbe@unal.edu.co>

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Package milr updated to version 0.4.1 with previous version 0.3.1 dated 2020-10-31

Title: Multiple-Instance Logistic Regression with LASSO Penalty
Description: The multiple instance data set consists of many independent subjects (called bags) and each subject is composed of several components (called instances). The outcomes of such data set are binary or categorical responses, and, we can only observe the subject-level outcomes. For example, in manufacturing processes, a subject is labeled as "defective" if at least one of its own components is defective, and otherwise, is labeled as "non-defective". The 'milr' package focuses on the predictive model for the multiple instance data set with binary outcomes and performs the maximum likelihood estimation with the Expectation-Maximization algorithm under the framework of logistic regression. Moreover, the LASSO penalty is attached to the likelihood function for simultaneous parameter estimation and variable selection.
Author: Ping-Yang Chen [aut, cre], ChingChuan Chen [aut], Chun-Hao Yang [aut], Sheng-Mao Chang [aut]
Maintainer: Ping-Yang Chen <pychen.ping@gmail.com>

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Package NMA updated to version 2.1-1 with previous version 1.4-3 dated 2024-05-17

Title: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models
Description: Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2025) <doi:10.1101/2025.09.15.25335823>). Comprehensive analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available through simple commands. For inconsistency assessment, the local and global inconsistency tests based on the Higgins' design-by-treatment interaction model are available. In addition, the side-splitting methods and Jackson's random inconsistency model can be applied. Standard graphical tools for network meta-analysis, including network plots, ranked forest plots, and transitivity analyses, are also provided. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.
Author: Hisashi Noma [aut, cre] , Kazushi Maruo [aut], Shiro Tanaka [aut], Toshi A. Furukawa [aut]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package metaphonebr updated to version 0.0.5 with previous version 0.0.4 dated 2025-07-17

Title: Custom 'MetaphoneBR' Phonetic Encoding for Brazilian Names
Description: Simplifies Brazilian names phonetically using a custom 'metaphoneBR' algorithm that preserves ending vowels. Useful for name matching processing preserving gender information carried generally by ending vowels in Portuguese. Mation (2025) <doi:10.6082/uchicago.15104>.
Author: Rodrigo Borges [aut, cre] , Lucas Mation [aut] , Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rodrigo Borges <rodrigoesborges@gmail.com>

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Package fluxtools updated to version 0.7.0 with previous version 0.6.2 dated 2025-08-28

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 lifecontingencies updated to version 1.4.3 with previous version 1.3.12 dated 2024-09-29

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Author: Giorgio Alfredo Spedicato [aut, cre] , Christophe Dutang [ctb] , Reinhold Kainhofer [ctb] , Kevin J Owens [ctb], Ernesto Schirmacher [ctb], Gian Paolo Clemente [ctb] , Ivan Williams [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package CompExpDes updated to version 1.0.9 with previous version 1.0.8 dated 2025-07-25

Title: Designs for Computer Experimentations
Description: In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package ldsep updated to version 2.1.6 with previous version 2.1.5 dated 2022-10-18

Title: Linkage Disequilibrium Shrinkage Estimation for Polyploids
Description: Estimate haplotypic or composite pairwise linkage disequilibrium (LD) in polyploids, using either genotypes or genotype likelihoods. Support is provided to estimate the popular measures of LD: the LD coefficient D, the standardized LD coefficient D', and the Pearson correlation coefficient r. All estimates are returned with corresponding standard errors. These estimates and standard errors can then be used for shrinkage estimation. The main functions are ldfast(), ldest(), mldest(), sldest(), plot.lddf(), format_lddf(), and ldshrink(). Details of the methods are available in Gerard (2021a) <doi:10.1111/1755-0998.13349> and Gerard (2021b) <doi:10.1038/s41437-021-00462-5>.
Author: David Gerard [aut, cre]
Maintainer: David Gerard <gerard.1787@gmail.com>

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Package verdadecu updated to version 1.0.0 with previous version 0.2.0 dated 2025-08-21

Title: Data from the Ecuador Truth Commission
Description: Provides access to data collected by the Ecuadorian Truth Commission. Allows users to extract and analyze systematized information for human rights research in Ecuador. The package contains datasets documenting human rights violations from 1984-2008, including victim information, violation types, perpetrators, and geographic distribution.
Author: Adriana Robles [aut] , Javier Borja [aut, cre]
Maintainer: Javier Borja <javier@demografiando.pro>

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Package ResultModelManager updated to version 0.6.0 with previous version 0.5.11 dated 2024-09-19

Title: Result Model Manager
Description: Database data model management utilities for R packages in the Observational Health Data Sciences and Informatics programme. 'ResultModelManager' provides utility functions to allow package maintainers to migrate existing SQL database models, export and import results in consistent patterns.
Author: Jamie Gilbert [aut, cre]
Maintainer: Jamie Gilbert <gilbert@ohdsi.org>

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Package readyomics updated to version 0.1.2 with previous version 0.1.1 dated 2025-08-27

Title: Ready-to-Use Omics Formatting, Analysis, and Visualization Pipeline
Description: Provides a flexible and streamlined pipeline for formatting, analyzing, and visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, metabolomics). The package includes tools for shaping input data into analysis-ready structures, fitting linear or mixed-effect models, extracting key contrasts, and generating a rich variety of ready-to-use publication-quality plots. Designed for transparency and reproducibility across a wide range of study designs, with customizable components for statistical modeling.
Author: Laura Martinez-Gili [cre, aut, cph]
Maintainer: Laura Martinez-Gili <martinez.gili.laura@gmail.com>

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Package NPHMC updated to version 2.4.2 with previous version 2.3 dated 2022-05-08

Title: Sample Size Calculation for the Proportional Hazards Mixture Cure Model
Description: An R-package for calculating sample size of a survival trial with or without cure fractions.
Author: Chao Cai [aut, cre], Songfeng Wang [aut], Wenbin Lu [aut], Jiajia Zhang [aut]
Maintainer: Chao Cai <caic@mailbox.sc.edu>

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Package gridOT updated to version 1.0.2 with previous version 1.0.1 dated 2022-10-18

Title: Approximate Optimal Transport Between Two-Dimensional Grids
Description: Can be used for optimal transport between two-dimensional grids with respect to separable cost functions of l^p form. It utilizes the Frank-Wolfe algorithm to approximate so-called pivot measures: One-dimensional transport plans that fully describe the full transport, see G. Auricchio (2023) <doi:10.4171/RLM/1026>. For these, it offers methods for visualization and to extract the corresponding transport plans and costs. Additionally, related functions for one-dimensional optimal transport are available.
Author: Michel Groppe [aut, cre], Nicholas Bonneel [ctb], Egervary Research Group on Combinatorial Optimization [cph]
Maintainer: Michel Groppe <michel.groppe@uni-goettingen.de>

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Package omopgenerics updated to version 1.3.1 with previous version 1.3.0 dated 2025-07-15

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package SKNN updated to version 4.1.2 with previous version 4.1.1 dated 2025-09-09

Title: A Super K-Nearest Neighbor (SKNN) Classification Algorithm
Description: It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>

Diff between SKNN versions 4.1.1 dated 2025-09-09 and 4.1.2 dated 2025-09-18

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Package SimDesign updated to version 2.21 with previous version 2.20.0 dated 2025-07-16

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb], Moritz Ketzer [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package HMDA readmission to version 0.1.1 with previous version 0.1 dated 2025-03-27

Title: Holistic Multimodel Domain Analysis for Exploratory Machine Learning
Description: Holistic Multimodel Domain Analysis (HMDA) is a robust and transparent framework designed for exploratory machine learning research, aiming to enhance the process of feature assessment and selection. HMDA addresses key limitations of traditional machine learning methods by evaluating the consistency across multiple high-performing models within a fine-tuned modeling grid, thereby improving the interpretability and reliability of feature importance assessments. Specifically, it computes Weighted Mean SHapley Additive exPlanations (WMSHAP), which aggregate feature contributions from multiple models based on weighted performance metrics. HMDA also provides confidence intervals to demonstrate the stability of these feature importance estimates. This framework is particularly beneficial for analyzing complex, multidimensional datasets common in health research, supporting reliable exploration of mental health outcomes such as suicidal ideation, suicide attempts, and other psychological cond [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

This is a re-admission after prior archival of version 0.1 dated 2025-03-27

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Package DiscreteDists updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-08

Title: Discrete Statistical Distributions
Description: Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
Author: Freddy Hernandez-Barajas [aut, cre] , Fernando Marmolejo-Ramos [aut] , Olga Usuga-Manco [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>

Diff between DiscreteDists versions 1.1.0 dated 2025-09-08 and 1.1.1 dated 2025-09-18

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Package nlmeVPC updated to version 2.8 with previous version 2.6 dated 2022-12-22

Title: Visual Model Checking for Nonlinear Mixed Effect Model
Description: Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).
Author: Eun-Kyung Lee [aut, cre], Eun-Hwa Kang [aut]
Maintainer: Eun-Kyung Lee <lee.eunk@gmail.com>

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Package vecvec updated to version 0.2.0 with previous version 0.1.0 dated 2025-06-29

Title: Construct Mixed Type Data Structures with Vectors of Vectors
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package tree.interpreter updated to version 0.1.3 with previous version 0.1.1 dated 2020-02-05

Title: Random Forest Prediction Decomposition and Feature Importance Measure
Description: An R re-implementation of the 'treeinterpreter' package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as 'prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <doi:10.48550/arXiv.1906.10845>.
Author: Qingyao Sun [aut, cre]
Maintainer: Qingyao Sun <sunqingyao19970825@gmail.com>

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Package TAF updated to version 4.3.1 with previous version 4.3.0 dated 2025-09-02

Title: Transparent Assessment Framework for Reproducible Research
Description: General framework to organize data, methods, and results used in reproducible scientific analyses. A TAF analysis consists of four scripts (data.R, model.R, output.R, report.R) that are run sequentially. Each script starts by reading files from a previous step and ends with writing out files for the next step. Convenience functions are provided to version control the required data and software, run analyses, clean residues from previous runs, manage files, manipulate tables, and produce figures. With a focus on stability and reproducible analyses, the TAF package comes with no dependencies. TAF forms a base layer for the 'icesTAF' package and other scientific applications.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Iago Mosqueira [aut], Alexandros Kokkalis [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Permanent link

Package shapley readmission to version 0.5.1 with previous version 0.5 dated 2025-03-18

Title: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), an innovative method for calculating SHAP values for a grid of fine-tuned base-learner machine learning models as well as stacked ensembles, a method not previously available due to the common reliance on single best-performing models. By integrating the weighted mean SHAP values from individual base-learners comprising the ensemble or individual base-learners in a tuning grid search, the package weights SHAP contributions according to each model's performance, assessed by multiple either R squared (for both regression and classification models). alternatively, this software also offers weighting SHAP values based on the area under the precision-recall curve (AUCPR), the area under the curve (AUC), and F2 measures for binary classifiers. It further extends this framework to implement weighted confidence intervals for weighted mean SHAP values, offering a more comprehensive and robust feature importance eval [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

This is a re-admission after prior archival of version 0.5 dated 2025-03-18

Diff between shapley versions 0.5 dated 2025-03-18 and 0.5.1 dated 2025-09-18

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Package MLwrap readmission to version 0.1.1 with previous version 0.1.0 dated 2025-07-22

Title: Machine Learning Modelling for Everyone
Description: A minimal library specifically designed to make the estimation of Machine Learning (ML) techniques as easy and accessible as possible, particularly within the framework of the Knowledge Discovery in Databases (KDD) process in data mining. The package provides essential tools to structure and execute each stage of a predictive or classification modeling workflow, aligning closely with the fundamental steps of the KDD methodology, from data selection and preparation, through model building and tuning, to the interpretation and evaluation of results using Sensitivity Analysis. The 'MLwrap' workflow is organized into four core steps; preprocessing(), build_model(), fine_tuning(), and sensitivity_analysis(). These steps correspond, respectively, to data preparation and transformation, model construction, hyperparameter optimization, and sensitivity analysis. The user can access comprehensive model evaluation results including fit assessment metrics, plots, predictions, and performance diagn [...truncated...]
Author: Javier Martinez Garcia [aut] , Juan Jose Montano Moreno [ctb] , Albert Sese [cre, ctb]
Maintainer: Albert Sese <albert.sese@uib.es>

This is a re-admission after prior archival of version 0.1.0 dated 2025-07-22

Diff between MLwrap versions 0.1.0 dated 2025-07-22 and 0.1.1 dated 2025-09-18

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Package GLMMRR readmission to version 0.6.0 with previous version 0.5.0 dated 2021-01-13

Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
Description: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.
Author: Jean-Paul Fox [aut, cre], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Jean-Paul Fox <jpfox00@gmail.com>

This is a re-admission after prior archival of version 0.5.0 dated 2021-01-13

Diff between GLMMRR versions 0.5.0 dated 2021-01-13 and 0.6.0 dated 2025-09-18

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Permanent link

Package duckdb updated to version 1.4.0 with previous version 1.3.3 dated 2025-09-10

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.3.3 dated 2025-09-10 and 1.4.0 dated 2025-09-18

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Package dsBase readmission to version 6.3.4 with previous version 6.3.3 dated 2025-07-19

Title: 'DataSHIELD' Server Side Base Functions
Description: Base 'DataSHIELD' functions for the server side. 'DataSHIELD' is a software package which allows you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have been designed to only share non disclosive summary statistics, with built in automated output checking based on statistical disclosure control. With data sites setting the threshold values for the automated output checks. For more details, see 'citation("dsBase")'.
Author: Paul Burton [aut] , Rebecca Wilson [aut] , Olly Butters [aut] , Patricia Ryser-Welch [aut] , Alex Westerberg [aut], Leire Abarrategui [aut], Roberto Villegas-Diaz [aut] , Demetris Avraam [aut] , Yannick Marcon [aut] , Tom Bishop [aut], Amadou Gaye [a [...truncated...]
Maintainer: Stuart Wheater <stuart.wheater@arjuna.com>

This is a re-admission after prior archival of version 6.3.3 dated 2025-07-19

Diff between dsBase versions 6.3.3 dated 2025-07-19 and 6.3.4 dated 2025-09-18

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More information about dsBase at CRAN
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Package cartographr updated to version 0.2.4 with previous version 0.2.3 dated 2025-08-19

Title: Crafting Print-Ready Maps and Layered Visualizations
Description: Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing users to focus on the story their maps tell. Transforming raw geospatial data into informative visualizations is made easy with simple features 'sf' geometries. Whether for urban planning, environmental studies, or impactful public presentations, this tool facilitates straightforward and effective map creation. Enhance the dissemination of spatial information with high-quality, narrative-driven visualizations!
Author: David Willinger [aut, cre, cph]
Maintainer: David Willinger <david.willinger@gmail.com>

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Package BIGr updated to version 0.6.2 with previous version 0.5.5 dated 2025-05-19

Title: Breeding Insight Genomics Functions for Polyploid and Diploid Species
Description: Functions developed within Breeding Insight to analyze diploid and polyploid breeding and genetic data. 'BIGr' provides the ability to filter variant call format (VCF) files, extract single nucleotide polymorphisms (SNPs) from diversity arrays technology missing allele discovery count (DArT MADC) files, and manipulate genotype data for both diploid and polyploid species. It also serves as the core dependency for the 'BIGapp' 'Shiny' app, which provides a user-friendly interface for performing routine genotype analysis tasks such as dosage calling, filtering, principal component analysis (PCA), genome-wide association studies (GWAS), and genomic prediction. For more details about the included 'breedTools' functions, see Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>, and the 'updog' output format, see Gerard et al. (2018) <doi:10.1534/genetics.118.301468>.
Author: Alexander M. Sandercock [cre, aut], Cristiane Taniguti [aut], Josue Chinchilla-Vargas [aut], Shufen Chen [ctb], Manoj Sapkota [ctb], Meng Lin [ctb], Dongyan Zhao [ctb], Cornell University [cph]
Maintainer: Alexander M. Sandercock <sandercock.alex@gmail.com>

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Package admiralvaccine updated to version 0.5.0 with previous version 0.4.0 dated 2025-01-31

Title: Vaccine Extension Package for ADaM in 'R' Asset Library
Description: Programming vaccine specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is followed as per Center for Biologics Evaluation and Research (CBER) guidelines for creating vaccine specific domains. 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>). The package is an extension package of the 'admiral' package.
Author: Arjun Rubalingam [aut, cre], Sukalpo Saha [aut, ctb], Ben Straub [aut], Vikram S [aut], Dhivya Kanagaraj [aut], Federico Baratin [aut], Yamini Purna Bollu [aut], Ilse Augustyns [aut], Kalyani Bodicherla [aut], Hilde Delanghe [aut], Lee Armishaw [aut] [...truncated...]
Maintainer: Arjun Rubalingam <arjun.rubalingam@pfizer.com>

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Package smacofx updated to version 1.22-0 with previous version 1.21-1 dated 2025-07-07

Title: Flexible Multidimensional Scaling and 'smacof' Extensions
Description: Flexible multidimensional scaling (MDS) methods and extensions to the package 'smacof'. This package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different flexible MDS models. These are: Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459) with powers, Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678>) with ratio and interval optimal scaling, Multiscale MDS (Ramsay, 1977, <doi:10.1007/BF02294052>) with ratio and interval optimal scaling, s-stress MDS (ALSCAL; Takane, Young & De Leeuw, 1977, <doi:10.1007/BF02293745>) with ratio and interval optimal scaling, elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>) with ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair, 2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval, splines and nonmetric optimal scaling, power-stress MDS (POST-MDS; Buja & Swayne, 2002 <doi: [...truncated...]
Author: Thomas Rusch [aut, cre] , Jan de Leeuw [aut], Lisha Chen [aut], Patrick Mair [aut]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>

Diff between smacofx versions 1.21-1 dated 2025-07-07 and 1.22-0 dated 2025-09-18

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Package bartMan updated to version 0.2.1 with previous version 0.2.0 dated 2025-08-22

Title: Create Visualisations for BART Models
Description: Investigating and visualising Bayesian Additive Regression Tree (BART) (Chipman, H. A., George, E. I., & McCulloch, R. E. 2010) <doi:10.1214/09-AOAS285> model fits. We construct conventional plots to analyze a model’s performance and stability as well as create new tree-based plots to analyze variable importance, interaction, and tree structure. We employ Value Suppressing Uncertainty Palettes (VSUP) to construct heatmaps that display variable importance and interactions jointly using colour scale to represent posterior uncertainty. Our visualisations are designed to work with the most popular BART R packages available, namely 'BART' Rodney Sparapani and Charles Spanbauer and Robert McCulloch 2021 <doi:10.18637/jss.v097.i01>, 'dbarts' (Vincent Dorie 2023) <https://CRAN.R-project.org/package=dbarts>, and 'bartMachine' (Adam Kapelner and Justin Bleich 2016) <doi:10.18637/jss.v070.i04>.
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut], Claus Wilke [ctb]
Maintainer: Alan Inglis <alan.inglis@mu.ie>

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Package isingLenzMC updated to version 0.2.7 with previous version 0.2.5 dated 2016-07-01

Title: Monte Carlo for Classical Ising Model
Description: Classical Ising Model is a land mark system in statistical physics.The model explains the physics of spin glasses and magnetic materials, and cooperative phenomenon in general, for example phase transitions and neural networks.This package provides utilities to simulate one dimensional Ising Model with Metropolis and Glauber Monte Carlo with single flip dynamics in periodic boundary conditions. Utility functions for exact solutions are provided.
Author: Mehmet Suzen [aut, cre]
Maintainer: Mehmet Suzen <mehmet.suzen@physics.org>

Diff between isingLenzMC versions 0.2.5 dated 2016-07-01 and 0.2.7 dated 2025-09-18

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Package elliptic updated to version 1.5-0 with previous version 1.4-0 dated 2019-03-14

Title: Weierstrass and Jacobi Elliptic Functions
Description: A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between elliptic versions 1.4-0 dated 2019-03-14 and 1.5-0 dated 2025-09-18

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New package CompositionalClust with initial version 1.0
Package: CompositionalClust
Title: Clustering with Compositional Data
Version: 1.0
Date: 2025-09-15
Author: Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, doParallel, foreach, graphics, lowmemtkmeans, mixture, Rfast, Rfast2, stats
Description: Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025), <doi:10.48550/arXiv.2509.05945>. Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), <doi:10.1214/07-AOS515>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-09-14 20:47:14 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-09-18 09:20:02 UTC

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New package swaglm with initial version 0.0.1
Package: swaglm
Title: Fast Sparse Wrapper Algorithm for Generalized Linear Models and Testing Procedures for Network of Highly Predictive Variables
Version: 0.0.1
Description: Provides a fast implementation of the SWAG algorithm for Generalized Linear Models which allows to perform a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. The package then performs test on the network of selected models to identify the variables that are highly predictive by using entropy-based network measures.
License: AGPL-3
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, fastglm, stats, igraph, gdata, plyr, progress, DescTools, scales, fields
Suggests: knitr, MASS, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-09-14 08:03:00 UTC; lionel
Author: Lionel Voirol [aut, cre] , Yagmur Ozdemir [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:50:02 UTC

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New package shinystate with initial version 0.1.0
Package: shinystate
Title: Customization of Shiny Bookmarkable State
Version: 0.1.0
Description: Enhance the bookmarkable state feature of 'shiny' with additional customization such as storage location and storage repositories leveraging the 'pins' package.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: archive, fs, htmltools, pins, R6, shiny (>= 0.14),
Suggests: bslib, DT, knitr, lubridate, rlang, rmarkdown, roxy.shinylive, testthat (>= 3.0.0), withr
URL: https://rpodcast.github.io/shinystate/, https://github.com/rpodcast/shinystate
BugReports: https://github.com/rpodcast/shinystate/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-13 02:34:20 UTC; eric
Author: Eric Nantz [aut, cre] , Eli Lilly and Company [cph, fnd]
Maintainer: Eric Nantz <theRcast@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:10:01 UTC

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New package pcdid with initial version 1.0.0
Package: pcdid
Title: Principal Components Difference-in-Differences
Version: 1.0.0
Date: 2025-09-13
Maintainer: Xiaolei Wang <adamwang15@gmail.com>
Description: Implements the Principal Components Difference-in-Differences estimators as described in Chan, M. K., & Kwok, S. S. (2022) <doi:10.1080/07350015.2021.1914636>.
License: GPL (>= 3)
Imports: stats, sandwich, lmtest
Depends: R (>= 3.5)
LazyData: true
Encoding: UTF-8
URL: https://github.com/adamwang15/pcdid
BugReports: https://github.com/adamwang15/pcdid/issues
Suggests: tinytest
NeedsCompilation: no
Packaged: 2025-09-13 03:50:04 UTC; adam
Author: Marc Chan [aut] , Xiaolei Wang [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-18 08:20:02 UTC

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Package microseq updated to version 2.1.7 with previous version 2.1.6 dated 2023-08-21

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use generic R data structures as much as possible, making R data wrangling possible also for sequence data.
Author: Lars Snipen [aut, cre], Kristian Hovde Liland [aut]
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 2.1.6 dated 2023-08-21 and 2.1.7 dated 2025-09-18

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New package henna with initial version 0.2.5
Package: henna
Title: A Versatile Visualization Suite
Version: 0.2.5
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.
License: MIT + file LICENSE
Imports: abdiv, dplyr, ggalluvial, ggeasy, ggforce, ggraph, ggnewscale, ggplot2, ggrepel, grDevices, liver, methods, reshape2, rlang, stats, tidygraph, viridis
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-14 00:56:56 UTC; Andrei
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:50:07 UTC

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New package heartbeatr with initial version 1.0.0
Package: heartbeatr
Title: A Workflow to Process Data Collected with PULSE Systems
Version: 1.0.0
Description: Given one or multiple paths to files produced by a PULSE multi-channel or a PULSE one-channel system (<https://electricblue.eu/pulse>) from a single experiment: [1] check pulse files for inconsistencies and read/merge all data, [2] split across time windows, [3] interpolate and smooth to optimize the dataset, [4] compute the heart rate frequency for each channel/window, and [5] facilitate quality control, summarising and plotting. Heart rate frequency is calculated using the Automatic Multi-scale Peak Detection algorithm proposed by Felix Scholkmann and team. For more details see Scholkmann et al (2012) <doi:10.3390/a5040588>. Check original code at <https://github.com/ig248/pyampd>. ElectricBlue is a non-profit technology transfer startup creating research-oriented solutions for the scientific community (<https://electricblue.eu>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: av, cli, dplyr, ggplot2, lubridate, magrittr, purrr, readr, stringr, tibble, tidyr, transformr
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-14 09:30:35 UTC; ruiseabra
Author: Rui Seabra [aut, cre] , Fernando Lima [aut]
Maintainer: Rui Seabra <ruisea@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 09:00:02 UTC

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Package downscale updated to version 5.1.3 with previous version 5.0.0 dated 2023-05-31

Title: Downscaling Species Occupancy
Description: Uses species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes. Ten models are provided to fit and extrapolate the occupancy-area relationship, as well as methods for preparing atlas data for modelling. See Marsh et. al. (2018) <doi:10.18637/jss.v086.c03>.
Author: Charles Marsh [aut, cre, cph]
Maintainer: Charles Marsh <charlie.marsh@mailbox.org>

Diff between downscale versions 5.0.0 dated 2023-05-31 and 5.1.3 dated 2025-09-18

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Package autodb updated to version 3.1.0 with previous version 3.0.0 dated 2025-06-25

Title: Automatic Database Normalisation for Data Frames
Description: Automatic normalisation of a data frame to third normal form, with the intention of easing the process of data cleaning. (Usage to design your actual database for you is not advised.) Originally inspired by the 'AutoNormalize' library for 'Python' by 'Alteryx' (<https://github.com/alteryx/autonormalize>), with various changes and improvements. Automatic discovery of functional or approximate dependencies, normalisation based on those, and plotting of the resulting "database" via 'Graphviz', with options to exclude some attributes at discovery time, or remove discovered dependencies at normalisation time.
Author: Mark Webster [aut, cre]
Maintainer: Mark Webster <markwebster204@yahoo.co.uk>

Diff between autodb versions 3.0.0 dated 2025-06-25 and 3.1.0 dated 2025-09-18

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Package ZEP updated to version 0.2.0 with previous version 0.1.5 dated 2025-06-22

Title: Procedures Related to the Zadeh's Extension Principle for Fuzzy Data
Description: Procedures for calculation, plotting, animation, and approximation of the outputs for fuzzy numbers (see A.I. Ban, L. Coroianu, P. Grzegorzewski "Fuzzy Numbers: Approximations, Ranking and Applications" (2015)) based on the Zadeh's Extension Principle (see de Barros, L.C., Bassanezi, R.C., Lodwick, W.A. (2017) <doi:10.1007/978-3-662-53324-6_2>).
Author: Maciej Romaniuk [cre, aut] ), Abbas Parchami [aut] ), Przemyslaw Grzegorzewski [ctb] )
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

Diff between ZEP versions 0.1.5 dated 2025-06-22 and 0.2.0 dated 2025-09-18

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New package ordinalTables with initial version 1.0.0.3
Package: ordinalTables
Title: Fit Models to Two-Way Tables with Correlated Ordered Response Categories
Version: 1.0.0.3
Description: Fit a variety of models to two-way tables with ordered categories. Most of the models are appropriate to apply to tables of that have correlated ordered response categories. There is a particular interest in rater data and models for rescore tables. Some utility functions (e.g., Cohen's kappa and weighted kappa) support more general work on rater agreement. Because the names of the models are very similar, the functions that implement them are organized by last name of the primary author of the article or book that suggested the model, with the name of the function beginning with that author's name and an underscore. This may make some models more difficult to locate if one doesn't have the original sources. The vignettes and tests can help to locate models of interest. For more dertaiils see the following references: Agresti, A. (1983) <doi:10.1016/0167-7152(83)90051-2> "A Simple Diagonals-Parameter Symmetry And Quasi-Symmetry Model", Agrestim A. (1983) <doi:10.2307/25310 [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MASS
Suggests: knitr, rmarkdown, testthat
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-12 23:00:33 UTC; johndonoghue
Author: John R. Donoghue [aut, cre]
Maintainer: John R. Donoghue <jdonoghue0823@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 08:00:02 UTC

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Package kerasnip updated to version 0.0.3 with previous version 0.0.1 dated 2025-09-03

Title: A Bridge Between 'keras' and 'tidymodels'
Description: Provides a seamless bridge between 'keras' and the 'tidymodels' frameworks. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
Author: David Diaz [aut, cre]
Maintainer: David Diaz <daviddrsch@gmail.com>

Diff between kerasnip versions 0.0.1 dated 2025-09-03 and 0.0.3 dated 2025-09-18

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Package AssumpSure updated to version 1.1.1 with previous version 1.1.0 dated 2025-08-18

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 1.1.0 dated 2025-08-18 and 1.1.1 dated 2025-09-18

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Package hexSticker updated to version 0.5.0 with previous version 0.4.9 dated 2020-12-05

Title: Create Hexagon Sticker in R
Description: Helper functions for creating reproducible hexagon sticker purely in R.
Author: Guangchuang Yu [aut, cre], Laurent Gatto [ctb], Johannes Rainer [ctb], Sebastian Gibb [ctb], Robert Corty [ctb], Thomas Neitmann [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package duckplyr updated to version 1.1.2 with previous version 1.1.1 dated 2025-07-30

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Offers convenient utilities for working with in-memory and larger-than-memory data while retaining full 'dplyr' compatibility.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package rlibkriging (with last version 0.9-2.2) was removed from CRAN

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

2025-08-27 0.9-2.2
2025-07-23 0.9-2.1
2025-07-22 0.9-2
2025-01-15 0.9-1
2024-10-02 0.9-0.4
2024-08-27 0.9-0.1
2024-08-23 0.9-0
2023-11-28 0.8-0.1
2023-06-23 0.8-0
2023-02-13 0.7-4.3
2023-02-02 0.7-4.2
2023-01-17 0.7-4.1
2023-01-14 0.7-4
2023-01-12 0.7-3.1
2023-01-09 0.7-3
2023-01-06 0.7-2
2022-09-22 0.7-0

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Package WeightIt updated to version 1.5.0 with previous version 1.4.0 dated 2025-02-24

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include those that rely on parametric modeling, optimization, and machine learning. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. Methods for estimating weighted regression models that take into account uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package VIM updated to version 6.2.6 with previous version 6.2.2 dated 2022-08-25

Title: Visualization and Imputation of Missing Values
Description: New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.
Author: Matthias Templ [aut, cre], Alexander Kowarik [aut] , Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package spinifex updated to version 0.3.10 with previous version 0.3.9 dated 2025-08-22

Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Description: Data visualization tours animates linear projection of multivariate data as its basis (ie. orientation) changes. The 'spinifex' packages generates paths for manual tours by manipulating the contribution of a single variable at a time Cook & Buja (1997) <doi:10.1080/10618600.1997.10474754>. Other types of tours, such as grand (random walk) and guided (optimizing some objective function) are available in the 'tourr' package Wickham et al. <doi:10.18637/jss.v040.i02>. 'spinifex' builds on 'tourr' and can render tours with 'gganimate' and 'plotly' graphics, and allows for exporting as an .html widget and as an .gif, respectively. This work is fully discussed in Spyrison & Cook (2020) <doi:10.32614/RJ-2020-027>.
Author: Nicholas Spyrison [aut, cre] , Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

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Package SpaDES.core updated to version 2.1.8 with previous version 2.1.6 dated 2025-09-02

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Permanent link

Package sensitivity updated to version 1.30.2 with previous version 1.30.1 dated 2024-08-28

Title: Global Sensitivity Analysis of Model Outputs and Importance Measures
Description: A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss [aut, cre], Sebastien Da Veiga [aut], Alexandre Janon [aut], Gilles Pujol [aut]
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

Diff between sensitivity versions 1.30.1 dated 2024-08-28 and 1.30.2 dated 2025-09-18

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More information about sensitivity at CRAN
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Package Rlabkey updated to version 3.4.4 with previous version 3.4.3 dated 2025-05-13

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.4.3 dated 2025-05-13 and 3.4.4 dated 2025-09-18

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Package nflplotR updated to version 1.5.0 with previous version 1.4.0 dated 2024-08-21

Title: NFL Logo Plots in 'ggplot2' and 'gt'
Description: A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between nflplotR versions 1.4.0 dated 2024-08-21 and 1.5.0 dated 2025-09-18

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More information about nflplotR at CRAN
Permanent link

Package Lmoments updated to version 1.3-2 with previous version 1.3-1 dated 2019-03-15

Title: L-Moments and Quantile Mixtures
Description: Contains functions to estimate L-moments and trimmed L-moments from the data. Also contains functions to estimate the parameters of the normal polynomial quantile mixture and the Cauchy polynomial quantile mixture from L-moments and trimmed L-moments.
Author: Juha Karvanen [cre, aut], Santeri Karppinen [aut]
Maintainer: Juha Karvanen <juha.karvanen@iki.fi>

Diff between Lmoments versions 1.3-1 dated 2019-03-15 and 1.3-2 dated 2025-09-18

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Package jmvcore updated to version 2.7.7 with previous version 2.6.3 dated 2024-09-07

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love [aut, cre, cph]
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmvcore versions 2.6.3 dated 2024-09-07 and 2.7.7 dated 2025-09-18

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Package arcgisutils updated to version 0.4.0 with previous version 0.3.3 dated 2025-04-10

Title: R-ArcGIS Bridge Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Eli Pousson [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisutils versions 0.3.3 dated 2025-04-10 and 0.4.0 dated 2025-09-18

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