Fri, 04 Apr 2025

Package tpn updated to version 1.10 with previous version 1.9 dated 2024-11-17

Title: Truncated Positive Normal Model and Extensions
Description: Provide data generation and estimation tools for the truncated positive normal (tpn) model discussed in Gomez, Olmos, Varela and Bolfarine (2018) <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in Gomez, Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal tpn distribution discussed in Gomez et al. (2022) <doi:10.3390/sym14040665> and the flexible tpn model.
Author: Diego Gallardo [aut, cre], Hector J. Gomez [aut], Yolanda M. Gomez [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package healthdb updated to version 0.4.1 with previous version 0.4.0 dated 2025-02-27

Title: Working with Healthcare Databases
Description: A system for identifying diseases or events from healthcare databases and preparing data for epidemiological studies. It includes capabilities not supported by 'SQL', such as matching strings by 'stringr' style regular expressions, and can compute comorbidity scores (Quan et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>) directly on a database server. The implementation is based on 'dbplyr' with full 'tidyverse' compatibility.
Author: Kevin Hu [aut, cre, cph]
Maintainer: Kevin Hu <kevin.hu@bccdc.ca>

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Package FaaSr updated to version 1.4.4 with previous version 1.4.3 dated 2024-12-19

Title: FaaS (Function as a Service) Package
Description: Allows users to create and deploy the workflow with multiple functions in Function-as-a-Service (FaaS) cloud computing platforms. The 'FaaSr' package makes it simpler for R developers to use FaaS platforms by providing the following functionality: 1) Parsing and validating a JSON-based payload compliant to 'FaaSr' schema supporting multiple FaaS platforms 2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from the parser as argument 3) Downloading/uploading of files from/to S3 buckets using simple primitives 4) Logging to files in S3 buckets 5) Triggering downstream actions supporting multiple FaaS platforms 6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform Supported FaaS platforms: Apache OpenWhisk <https://openwhisk.apache.org/> GitHub Actions <https://github.com/features/actions> Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/> Support [...truncated...]
Author: Figueiredo Renato [aut, cre, ths, cph] , Park Sungjae [aut] , Mu Nan [ctb], Ku Yun-Jung [ctb], Daneshmand Vahid [ctb], Thomas R. Quinn [aut], Carey Cayelan [ctb]
Maintainer: Figueiredo Renato <renato.figueiredo@oregonstate.edu>

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Package duckdbfs updated to version 0.1.0 with previous version 0.0.9 dated 2024-12-16

Title: High Performance Remote File System, Database and 'Geospatial' Access Using 'duckdb'
Description: Provides friendly wrappers for creating 'duckdb'-backed connections to tabular datasets ('csv', parquet, etc) on local or remote file systems. This mimics the behaviour of "open_dataset" in the 'arrow' package, but in addition to 'S3' file system also generalizes to any list of 'http' URLs.
Author: Carl Boettiger [aut, cre] , Michael D. Sumner [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package unsystation updated to version 0.2.1 with previous version 0.2.0 dated 2018-05-23

Title: Stationarity Test Based on Unsystematic Sub-Sampling
Description: Performs a test for second-order stationarity of time series based on unsystematic sub-samples.
Author: Haeran Cho [aut, cre]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

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Package SSDforR updated to version 1.5.40 with previous version 1.5.39 dated 2025-03-25

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

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Package rbiom updated to version 2.2.0 with previous version 2.1.2 dated 2025-03-18

Title: Read/Write, Analyze, and Visualize 'BIOM' Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package Pursuit updated to version 1.0.6 with previous version 1.0.5 dated 2024-06-21

Title: Projection Pursuit
Description: Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package plotthis updated to version 0.6.0 with previous version 0.5.2 dated 2025-03-16

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package MVar.pt updated to version 2.2.6 with previous version 2.2.5 dated 2024-11-22

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MVar updated to version 2.2.6 with previous version 2.2.5 dated 2024-11-22

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MFAg updated to version 2.1 with previous version 2.0 dated 2024-06-21

Title: Multiple Factor Analysis (MFA)
Description: Performs Multiple Factor Analysis method for quantitative, categorical, frequency and mixed data, in addition to generating a lot of graphics, also has other useful functions.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package ergMargins updated to version 1.5 with previous version 1.3 dated 2024-05-08

Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

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Package sommer updated to version 4.4.1 with previous version 4.3.7 dated 2025-02-03

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package NLPwavelet updated to version 1.1 with previous version 1.0 dated 2025-02-13

Title: Bayesian Wavelet Analysis Using Non-Local Priors
Description: Performs Bayesian wavelet analysis using individual non-local priors as described in Sanyal & Ferreira (2017) <DOI:10.1007/s13571-016-0129-3> and non-local prior mixtures as described in Sanyal (2025) <DOI:10.48550/arXiv.2501.18134>.
Author: Nilotpal Sanyal [aut, cre]
Maintainer: Nilotpal Sanyal <nsanyal@utep.edu>

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Package campsis updated to version 1.7.0 with previous version 1.6.0 dated 2025-02-09

Title: Generic PK/PD Simulation Platform CAMPSIS
Description: A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD) simulation platform based on R packages 'rxode2' and 'mrgsolve'. CAMPSIS provides an abstraction layer over the underlying processes of writing a PK/PD model, assembling a custom dataset and running a simulation. CAMPSIS has a strong dependency to the R package 'campsismod', which allows to read/write a model from/to files and adapt it further on the fly in the R environment. Package 'campsis' allows the user to assemble a dataset in an intuitive manner. Once the user’s dataset is ready, the package is in charge of preparing the simulation, calling 'rxode2' or 'mrgsolve' (at the user's choice) and returning the results, for the given model, dataset and desired simulation settings.
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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Package lpl updated to version 0.12 with previous version 0.11 dated 2021-07-26

Title: Local Partial Likelihood Estimation and Simultaneous Confidence Band
Description: Local partial likelihood estimation by Fan, Lin and Zhou(2006)<doi:10.1214/009053605000000796> and simultaneous confidence band is a set of tools to test the covariates-biomarker interaction for survival data. Test for the covariates-biomarker interaction using the bootstrap method and the asymptotic method with simultaneous confidence band (Liu, Jiang and Chen (2015)<doi:10.1002/sim.6563>).
Author: Bingshu E. Chen [aut, cre], Yicong Liu [aut], Siwei Zhang [aut], Teng Wen [aut], Wenyu Jiang [aut]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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Package Rcrawler (with last version 0.1.9-1) was removed from CRAN

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

2018-11-11 0.1.9-1
2018-10-03 0.1.8-0
2017-11-01 0.1.7-0
2017-10-23 0.1.5
2017-10-22 0.1.4
2017-10-12 0.1.3
2017-07-20 0.1.2
2017-06-17 0.1.1
2017-06-15 0.1

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Package hacksaw (with last version 0.0.2) was removed from CRAN

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

2020-12-15 0.0.2
2020-07-18 0.0.1

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Package symengine updated to version 0.2.10 with previous version 0.2.6 dated 2024-02-25

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

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Package rms updated to version 8.0-0 with previous version 7.0-0 dated 2025-01-17

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

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Package greybox updated to version 2.0.4 with previous version 2.0.3 dated 2024-12-09

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package TreatmentPatterns updated to version 3.0.2 with previous version 3.0.1 dated 2025-03-10

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

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Package survivalsvm updated to version 0.0.6 with previous version 0.0.5 dated 2018-02-05

Title: Survival Support Vector Analysis
Description: Performs support vectors analysis for data sets with survival outcome. Three approaches are available in the package: The regression approach takes censoring into account when formulating the inequality constraints of the support vector problem. In the ranking approach, the inequality constraints set the objective to maximize the concordance index for comparable pairs of observations. The hybrid approach combines the regression and ranking constraints in the same model.
Author: Cesaire J. K. Fouodo [aut, cre]
Maintainer: Cesaire J. K. Fouodo <cesaire.kuetefouodo@uni-luebeck.de>

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Package sjtable2df updated to version 0.0.4 with previous version 0.0.3 dated 2023-04-13

Title: Convert 'sjPlot' HTML-Tables to R 'data.frame'
Description: A small set of helper functions to convert 'sjPlot' HTML-tables to R data.frame objects / knitr::kable-tables.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package plm updated to version 2.6-6 with previous version 2.6-5 dated 2025-01-17

Title: Linear Models for Panel Data
Description: A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>).
Author: Yves Croissant [aut], Giovanni Millo [aut], Kevin Tappe [aut, cre], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Kevin Tappe <kevin.tappe@bwi.uni-stuttgart.de>

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Package SimComp updated to version 3.6 with previous version 3.3 dated 2019-08-26

Title: Simultaneous Comparisons for Multiple Endpoints
Description: Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014 <doi:10.1515/ijb-2012-0015>).
Author: Mario Hasler [aut, cre], Christof Kluss [aut]
Maintainer: Mario Hasler <hasler@email.uni-kiel.de>

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Package rJavaEnv updated to version 0.3.0 with previous version 0.2.2 dated 2024-09-13

Title: 'Java' Environments for R Projects
Description: Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same proj [...truncated...]
Author: Egor Kotov [aut, cre, cph] , Chung-hong Chan [aut] , Mauricio Vargas [ctb] , Hadley Wickham [ctb] , Enrique Mondragon-Estrada [ctb] , Jonas Lieth [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package rintcal updated to version 1.1.3 with previous version 1.1.2 dated 2025-01-12

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package multilevelPSA updated to version 1.3.0 with previous version 1.2.5 dated 2018-03-22

Title: Multilevel Propensity Score Analysis
Description: Conducts and visualizes propensity score analysis for multilevel, or clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.
Author: Jason Bryer [aut, cre]
Maintainer: Jason Bryer <jason@bryer.org>

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Package cna updated to version 4.0.0 with previous version 3.6.2 dated 2024-07-05

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2020) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures. Moreover, as of version 4.0, it is the only method of its kind that provides measures for model evaluation and selection that are custom-made for the problem of INUS-discovery.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package systemfonts updated to version 1.2.2 with previous version 1.2.1 dated 2025-01-20

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package cucumber updated to version 2.0.0 with previous version 1.2.1 dated 2025-03-20

Title: Behavior-Driven Development for R
Description: Write executable specifications in a natural language that describes how your code should behave. Write specifications in feature files using 'Gherkin' language and execute them using functions implemented in R. Use them as an extension to your 'testthat' tests to provide a high level description of how your code works.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

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Package Waypoint updated to version 1.1.1 with previous version 1.1.0 dated 2025-03-19

Title: Convert, Validate, Format and Print Geographic Coordinates and Waypoints
Description: Convert, validate, format and elegantly print geographic coordinates and waypoints (paired latitude and longitude values) in decimal degrees, degrees and minutes, and degrees, minutes and seconds using high performance C++ code to enable rapid conversion and formatting of large coordinate and waypoint datasets.
Author: Mark Eisler [aut, cre, cph]
Maintainer: Mark Eisler <mark.eisler@bristol.ac.uk>

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Package LikertMakeR updated to version 1.0.0 with previous version 0.4.0 dated 2024-11-19

Title: Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics Only
Description: Generate and correlate synthetic Likert and rating-scale data with predefined means, standard deviations, _Cronbach's Alpha_, _Factor Loading table_, and other summary statistics.
Author: Hume Winzar [cre, aut]
Maintainer: Hume Winzar <winzar@gmail.com>

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Package analogue updated to version 0.18.0 with previous version 0.17-7 dated 2024-09-21

Title: Analogue and Weighted Averaging Methods for Palaeoecology
Description: Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.
Author: Gavin L. Simpson [aut, cre] , Jari Oksanen [aut], Martin Maechler [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package WARDEN updated to version 0.99.3 with previous version 0.99.1 dated 2024-12-13

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 cocorresp updated to version 0.4-6 with previous version 0.4-5 dated 2024-10-06

Title: Co-Correspondence Analysis Methods
Description: Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
Author: Gavin L. Simpson [aut, cre, trl] , Cajo J.F. ter Braak [aut] , Andre P Schaffers [aut] , Ron Wehrens [aut] ), Bjorn-Helge Mevik [aut] )
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package ARDECO updated to version 2.2.0 with previous version 2.1.0 dated 2024-11-21

Title: Annual Regional Database of the European Commission (ARDECO)
Description: A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus additional dimensions like economic sectors, gender, age classes. Data can be also aggregated at country level according to the tercet classes as defined by EUROSTAT. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.
Author: Carmelo Attardo [cre], Giuseppe Bucciarelli [aut], European Commission, JRC [cph]
Maintainer: Carmelo Attardo <carmelo.attardo@ec.europa.eu>

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Package jstable updated to version 1.3.11 with previous version 1.3.9 dated 2025-03-05

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package airGRdatassim updated to version 0.1.4 with previous version 0.1.3 dated 2021-02-11

Title: Ensemble-Based Data Assimilation with GR Hydrological Models
Description: Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological models. The package consists in two functions allowing to perform the assimilation of observed discharges via the Ensemble Kalman filter or the Particle filter as described in Piazzi et al. (2021) <doi:10.1029/2020WR028390>.
Author: Gaia Piazzi [aut] , Olivier Delaigue [aut, cre] , Guillaume Thirel [ctb] , Maxime Logez [ctb]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package osdatahub (with last version 0.2.0) was removed from CRAN

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

2023-10-25 0.2.0

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Package kstIO updated to version 0.4-2 with previous version 0.4-1 dated 2025-01-20

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'CDSS', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package Rtwobitlib (with last version 0.3.9) was removed from CRAN

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2025-03-19 0.3.9
2025-03-18 0.3.8
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2024-04-22 0.3.5

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Package GOxploreR (with last version 1.2.7) was removed from CRAN

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2023-11-03 1.2.7

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Package RCPA (with last version 0.2.5) was removed from CRAN

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2024-11-06 0.2.5

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Package SplitSoftening (with last version 2.1-1) was removed from CRAN

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

2024-10-27 2.1-1
2021-10-08 2.1-0
2020-03-10 2.0-1
2019-10-01 2.0-0
2018-09-19 1.0-0

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Package ARTool (with last version 0.11.1) was removed from CRAN

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

2021-10-13 0.11.1
2021-02-24 0.11.0
2020-10-31 0.10.8
2020-03-20 0.10.7
2019-02-03 0.10.6
2018-07-09 0.10.5
2016-10-24 0.10.4
2016-03-29 0.10.2
2016-01-11 0.10.0
2015-06-01 0.9.5
2015-05-27 0.9.4
2014-12-02 0.9.3

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Package spaths updated to version 1.2.0 with previous version 1.1.3 dated 2024-07-11

Title: Shortest Paths Between Points in Grids
Description: Shortest paths between points in grids. Optional barriers and custom transition functions. Applications regarding planet Earth, as well as generally spheres and planes. Optimized for computational performance, customizability, and user friendliness. Graph-theoretical implementation tailored to gridded data. Currently focused on Dijkstra's (1959) <doi:10.1007/BF01386390> algorithm. Future updates broaden the scope to other least cost path algorithms and to centrality measures.
Author: Christian Dueben [aut, cre]
Maintainer: Christian Dueben <cdueben.ml+cran@proton.me>

Diff between spaths versions 1.1.3 dated 2024-07-11 and 1.2.0 dated 2025-04-04

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Package mgcv updated to version 1.9-3 with previous version 1.9-2 dated 2025-04-02

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Author: Simon Wood [aut, cre]
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between mgcv versions 1.9-2 dated 2025-04-02 and 1.9-3 dated 2025-04-04

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Package vapour updated to version 0.11.0 with previous version 0.10.0 dated 2024-06-14

Title: Lightweight Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Description: Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.
Author: Michael Sumner [aut, cre] , Simon Wotherspoon [ctb] , Mark Padgham [ctb] ), Edzer Pebesma [ctb] , Roger Bivand [ctb] , Jim Hester [ctb, cph] , Timothy Keitt [ctb] , Jeroen Ooms [ctb] , Dale Maschette [ctb] , Joseph Stachelek [ctb], Even Rouault [ctb] [...truncated...]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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