Thu, 23 Oct 2025

Package ards updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-12

Title: Creates Analysis Results Datasets
Description: Contains functions to help create an Analysis Results Dataset. The dataset follows industry recommended structure. The dataset can be created in multiple passes, using different data frames as input. Analysis Results Datasets are used in the pharmaceutical and biotech industries to capture analysis in a common tabular data structure.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Jack Fuller [ctb], Matt Baldwin [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package FSinR updated to version 2.0.9 with previous version 2.0.8 dated 2025-10-20

Title: Feature Selection in R
Description: Feature subset selection algorithms modularized in search algorithms and measure utilities.
Author: Alfonso Jimenez-Vilchez [aut, cre] , Francisco Aragon-Royon [aut] , Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut] , Jose Manuel Benitez [aut]
Maintainer: Alfonso Jimenez-Vilchez <i52jivia@uco.es>

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Package WSCdata updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-29

Title: A New Four-Arm Within-Study Comparison Data on Math and Vocabulary Training
Description: This dataset was collected using a new four-arm within-study comparison design. The study aimed to examine the impact of a mathematics training intervention and a vocabulary study session on post-test scores in mathematics and vocabulary, respectively. The innovative four-arm within-study comparison design facilitates both experimental and quasi-experimental identification of average causal effects.
Author: Bryan Keller [aut, cph], Sangbaek Park [aut, ctb], Jingru Zhang [aut, cre]
Maintainer: Jingru Zhang <jzhang2637@wisc.edu>

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Package scoutbaR updated to version 0.2.5 with previous version 0.2.0 dated 2025-03-20

Title: A Spotlight 'React' Widget for 'shiny' Apps
Description: Creates a contextual menu that can be triggered with keyboard shortcuts or programmatically. This can replace traditional sidebars or navigation bars, thereby enhancing the user experience with lighter user interfaces.
Author: David Granjon [aut, cre], Adenekan Wonderful [cph]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package MSTest updated to version 0.1.6 with previous version 0.1.5 dated 2025-02-24

Title: Hypothesis Testing for Markov Switching Models
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2024) <https://grodriguezrondon.com/files/RodriguezRondon_Dufour_2025_MonteCarlo_LikelihoodRatioTest_MarkovSwitchingModels_20251014.pdf> that can be used to identify the number of regimes in Markov switching models.
Author: Gabriel Rodriguez Rondon [cre, aut], Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>

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Package utf8ify updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-07

Title: Format Text Using Unicode
Description: Format text (bold, italic, ...) and numbers using UTF-8. Offers functions to search for emojis and include them in your text.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package tall updated to version 0.4.0 with previous version 0.3.0 dated 2025-06-03

Title: Text Analysis for All
Description: An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Author: Massimo Aria [aut, cre, cph] , Maria Spano [aut] , Luca D'Aniello [aut] , Corrado Cuccurullo [ctb] , Michelangelo Misuraca [ctb]
Maintainer: Massimo Aria <aria@unina.it>

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Package pvars updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-15

Title: VAR Modeling for Heterogeneous Panels
Description: Implements (1) panel cointegration rank tests, (2) estimators for panel vector autoregressive (VAR) models, and (3) identification methods for panel structural vector autoregressive (SVAR) models as described in the accompanying vignette. The implemented functions allow to account for cross-sectional dependence and for structural breaks in the deterministic terms of the VAR processes. Among the large set of functions, particularly noteworthy are those that implement (1) the correlation-augmented inverse normal test on the cointegration rank by Arsova and Oersal (2021, <doi:10.1016/j.ecosta.2020.05.002>), (2) the two-step estimator for pooled cointegrating vectors by Breitung (2005, <doi:10.1081/ETC-200067895>), and (3) the pooled identification based on independent component analysis by Herwartz and Wang (2024, <doi:10.1002/jae.3044>).
Author: Lennart Empting [aut, cre, cph]
Maintainer: Lennart Empting <lennart.empting@vwl.uni-due.de>

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Package PUGMM updated to version 0.1.2 with previous version 0.1.1 dated 2025-06-23

Title: Parsimonious Ultrametric Gaussian Mixture Models
Description: Parsimonious Ultrametric Gaussian Mixture Models via grouped coordinate ascent (equivalent to EM) algorithm characterized by the inspection of hierarchical relationships among variables via parsimonious extended ultrametric covariance structures. The methodologies are described in Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, (2022) <doi:10.1007/s11634-021-00488-x> and (2020) <doi:10.1007/s11634-020-00400-z>.
Author: Giorgia Zaccaria [aut, cre] , Carlo Cavicchia [aut] , Lorenzo Balzotti [aut] , Alexa A. Sochaniwsky [aut] , Paul D. McNicholas [aut]
Maintainer: Giorgia Zaccaria <giorgia.zaccaria@unimib.it>

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Package NetRep updated to version 1.2.9 with previous version 1.2.8 dated 2025-07-28

Title: Permutation Testing Network Module Preservation Across Datasets
Description: Functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing; Ritchie et al. (2015) <doi: 10.1016/j.cels.2016.06.012>.
Author: Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>

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Package MixtureMissing updated to version 3.0.5 with previous version 3.0.4 dated 2025-02-04

Title: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random
Description: Implementations of various robust and flexible model-based clustering methods for data sets with missing values at random. Two main models are: Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022, <doi:10.1007/s11634-021-00476-1>) and Multivariate Generalized Hyperbolic Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>). Mixtures via some special or limiting cases of the multivariate generalized hyperbolic distribution are also included: Normal-Inverse Gaussian, Symmetric Normal-Inverse Gaussian, Skew-Cauchy, Cauchy, Skew-t, Student's t, Normal, Symmetric Generalized Hyperbolic, Hyperbolic Univariate Marginals, Hyperbolic, and Symmetric Hyperbolic. Funding: This work was partially supported by the National Science foundation NSF Grant NO. 2209974.
Author: Hung Tong [aut, cre], Cristina Tortora [aut, ths, dgs]
Maintainer: Hung Tong <hungtongmx@gmail.com>

Diff between MixtureMissing versions 3.0.4 dated 2025-02-04 and 3.0.5 dated 2025-10-23

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Package Rraven readmission to version 1.0.16 with previous version 1.0.15 dated 2025-07-17

Title: Connecting R and 'Raven' Sound Analysis Software
Description: A tool to exchange data between R and 'Raven' sound analysis software (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

This is a re-admission after prior archival of version 1.0.15 dated 2025-07-17

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Package reliaR readmission to version 0.2 with previous version 0.01 dated 2011-01-03

Title: Comprehensive Tools for some Probability Distributions
Description: Provides a comprehensive suite of utilities for univariate continuous probability distributions and reliability models. Includes functions to compute the probability density, cumulative distribution, quantile, reliability, and hazard functions, along with random variate generation. Also offers diagnostic and model assessment tools such as Quantile-Quantile (Q-Q) and Probability-Probability (P-P) plots, the Kolmogorov-Smirnov goodness-of-fit test, and model selection criteria including the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Currently implements the following distributions: Burr X, Chen, Exponential Extension, Exponentiated Logistic, Exponentiated Weibull, Exponential Power, Flexible Weibull, Generalized Exponential, Gompertz, Generalized Power Weibull, Gumbel, Inverse Generalized Exponential, Linear Failure Rate, Log-Gamma, Logistic-Exponential, Logistic-Rayleigh, Log-log, Marshall-Olkin Extended Exponential, Marshall-Olkin Extended Weibull, an [...truncated...]
Author: Vijay Kumar [aut, cre], Uwe Ligges [aut]
Maintainer: Vijay Kumar <vkgkp@rediffmail.com>

This is a re-admission after prior archival of version 0.01 dated 2011-01-03

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New package rdav with initial version 0.1.3
Package: rdav
Title: Simple 'WebDAV' Client
Version: 0.1.3
Date: 2025-10-20
Maintainer: Gunther Krauss <guntherkrauss@uni-bonn.de>
Description: A simple 'WebDAV' client that provides functions to fetch and send files or folders to servers using the 'WebDAV' protocol (see 'RFC' 4918 <https://www.rfc-editor.org/rfc/rfc4918>). Only a subset of the protocol is implemented (e.g. file locks are not yet supported).
License: GPL-2
URL: https://github.com/gk-crop/rdav
BugReports: https://github.com/gk-crop/rdav/issues
Depends: R (>= 4.1.0)
Imports: utils, httr2, xml2
Suggests: keyring, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-20 20:28:39 UTC; k
Author: Gunther Krauss [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-23 14:50:02 UTC

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Package jmotif updated to version 1.2.0 with previous version 1.1.1 dated 2020-02-13

Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

Diff between jmotif versions 1.1.1 dated 2020-02-13 and 1.2.0 dated 2025-10-23

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Package fastmatrix updated to version 0.6-4 with previous version 0.6-2 dated 2025-10-15

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions designed to speed up the computation of certain matrix operations that are commonly used in statistics and econometrics. It provides efficient implementations for the computation of several structured matrices, matrix decompositions and statistical procedures, many of which have minimal memory overhead. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Author: Felipe Osorio [aut, cre] , Alonso Ogueda [aut]
Maintainer: Felipe Osorio <faosorios.stat@gmail.com>

Diff between fastmatrix versions 0.6-2 dated 2025-10-15 and 0.6-4 dated 2025-10-23

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New package sumup with initial version 1.0.0
Package: sumup
Title: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Version: 1.0.0
Description: Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, dplyr, jsonlite, magrittr, rlang, udpipe, reticulate, stats, stringr, textclean, tibble, tidyr, tidytext, topicmodels, utils
Suggests: matrixStats, reshape2, sentimentr, slam, stopwords, stringi, textstem, tokenizers
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-10-20 09:03:19 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2025-10-23 13:50:02 UTC

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New package poseticDataAnalysis with initial version 0.1.0
Package: poseticDataAnalysis
Title: Posetic Data Analysis
Version: 0.1.0
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>
Description: Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).
License: GPL (>= 2)
Imports: methods
SystemRequirements: C++20
NeedsCompilation: yes
Encoding: UTF-8
Repository: CRAN
Packaged: 2025-10-20 05:53:55 UTC; ale
Author: Alessandro Avellone [aut, cre], Lucio De Capitani [aut], Marco Fattore [aut]
Date/Publication: 2025-10-23 13:10:03 UTC

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New package CompositionalSR with initial version 1.0
Package: CompositionalSR
Title: Spatial Regression Models with Compositional Data
Version: 1.0
Date: 2025-10-17
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: blockCV, Compositional, doParallel, foreach, minpack.lm, parallel, Rfast, sf, stats
Suggests: Rfast2
Description: Spatial regression models with compositional responses using the alpha--transformation. Relevant papers include: Tsagris M. (2025), <doi:10.48550/arXiv.2510.12663>, Tsagris M. (2015), <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>, Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>.
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-20 15:58:50 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-10-23 13:50:08 UTC

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Package utsf updated to version 1.3.1 with previous version 1.3.0 dated 2025-07-08

Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between utsf versions 1.3.0 dated 2025-07-08 and 1.3.1 dated 2025-10-23

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Package rminer updated to version 1.5.0 with previous version 1.4.9 dated 2025-06-04

Title: Machine Learning Classification and Regression Methods
Description: Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classificati [...truncated...]
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

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Package kissmig updated to version 2.0-1 with previous version 2.0-0 dated 2025-05-05

Title: a Keep It Simple Species Migration Model
Description: Simulating species migration and range dynamics under stable or changing environmental conditions based on a simple, raster-based, deterministic or stochastic migration model. KISSMig runs on binary or quantitative suitability maps, which are pre-calculated with niche-based habitat suitability models (also called ecological niche models (ENMs) or species distribution models (SDMs)). Nobis & Normand (2014), <doi:10.1111/ecog.00930>.
Author: Michael P. Nobis [cre, aut] , Signe Normand [ctb] , Dominik F. Landolt [ctb]
Maintainer: Michael P. Nobis <michael.nobis@wsl.ch>

Diff between kissmig versions 2.0-0 dated 2025-05-05 and 2.0-1 dated 2025-10-23

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Package writeAlizer updated to version 1.7.1 with previous version 1.7.0 dated 2025-10-21

Title: Generate Predicted Writing Quality Scores
Description: Imports variables from 'ReaderBench' (Dascalu et al., 2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads predictive scoring models described in Mercer & Cannon (2022)<doi:10.31244/jero.2022.01.03> and Mercer et al.(2021)<doi:10.1177/0829573520987753>; and generates predicted writing quality and curriculum-based measurement (McMaster & Espin, 2007)<doi:10.1177/00224669070410020301> scores.
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>

Diff between writeAlizer versions 1.7.0 dated 2025-10-21 and 1.7.1 dated 2025-10-23

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Package tidyhydat updated to version 0.7.2 with previous version 0.7.1 dated 2025-03-11

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources and then applies tidy data principles.
Author: Sam Albers [aut, cre] , David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Province of British Columbia [cph], Government of Canada [dtc], Luke Winslow [rev] , Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>

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Package SPIChanges updated to version 0.2.1 with previous version 0.2.0 dated 2025-06-06

Title: Improves the Interpretation of the Standardized Precipitation Index Under Changing Climate Conditions
Description: Improves the interpretation of the Standardized Precipitation Index under changing climate conditions. The package uses the nonstationary approach proposed in Blain et al. (2022) <doi:10.1002/joc.7550> to detect trends in rainfall quantities and to quantify the effect of such trends on the probability of a drought event occurring.
Author: Gabriel Constantino Blain [aut, cre] , Graciela R. Sobierajski [aut] , Leticia L. Martins [aut] , Adam H. Sparks [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>

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Package rpm updated to version 0.7-4 with previous version 0.7-3 dated 2024-04-18

Title: Modeling of Revealed Preferences Matchings
Description: Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.
Author: Mark S. Handcock [aut, cre] , Ryan M. Admiraal [ctb], Fiona C. Yeung [ctb], Heide M. Jackson [ctb], Michael S. Rendall [ctb], Shuchi Goyal [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package MultiATSM updated to version 1.5.0 with previous version 1.4.0 dated 2025-09-01

Title: Multicountry Term Structure of Interest Rates Models
Description: Package for estimating, analyzing, and forecasting multi-country macro-finance affine term structure models (ATSMs). All setups build on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014, JF) <doi:10.1111/jofi.12131>. Multicountry extensions by Jotikasthira, Le, and Lundblad (2015, JFE) <doi:10.1016/j.jfineco.2014.09.004>, Candelon and Moura (2023, EM) <doi:10.1016/j.econmod.2023.106453>, and Candelon and Moura (2024, JFEC) <doi:10.1093/jjfinec/nbae008> are also available. The package also provides tools for bias correction as in Bauer Rudebusch and Wu (2012, JBES) <doi:10.1080/07350015.2012.693855>, bootstrap analysis, and several graphical/numerical outputs.
Author: Rubens Moura [aut, cre]
Maintainer: Rubens Moura <rubens.gtmoura@gmail.com>

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Package micd updated to version 1.1.2 with previous version 1.1.1 dated 2023-02-17

Title: Multiple Imputation in Causal Graph Discovery
Description: Modified functions of the package 'pcalg' and some additional functions to run the PC and the FCI (Fast Causal Inference) algorithm for constraint-based causal discovery in incomplete and multiply imputed datasets. Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V (2020) <doi:10.1111/rssa.12565>; Andrews RM, Bang CW, Didelez V, Witte J, Foraita R (2021) <doi:10.1093/ije/dyae113>; Witte J, Foraita R, Didelez V (2022) <doi:10.1002/sim.9535>.
Author: Ronja Foraita [aut, cph, cre] , Janine Witte [aut]
Maintainer: Ronja Foraita <foraita@leibniz-bips.de>

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Package eco updated to version 4.0-5 with previous version 4.0-4 dated 2025-10-21

Title: Ecological Inference in 2x2 Tables
Description: Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <doi:10.1093/pan/mpm017>) and (2011 <doi:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.
Author: Kosuke Imai [aut, cre], Ying Lu [aut], Aaron Strauss [aut], Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@Harvard.Edu>

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Package CopernicusClimate updated to version 0.0.3 with previous version 0.0.2 dated 2025-10-09

Title: Search Download and Handle Data from Copernicus Climate Data Service
Description: Subset and download data from EU Copernicus Climate Data Service: <https://cds.climate.copernicus.eu/>. Import information about the Earth's past, present and future climate from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package DPI updated to version 2025.10-1 with previous version 2025.10 dated 2025-10-15

Title: The Directed Prediction Index for Causal Inference from Observational Data
Description: The Directed Prediction Index ('DPI') is a quasi-causal inference (causal discovery) method for observational data designed to quantify the relative endogeneity (relative dependence) of outcome (Y) versus predictor (X) variables in regression models. By comparing the proportion of variance explained (R-squared) between the Y-as-outcome model and the X-as-outcome model while controlling for a sufficient number of possible confounders, it can suggest a plausible (admissible) direction of influence from a more exogenous variable (X) to a more endogenous variable (Y). Methodological details are provided at <https://psychbruce.github.io/DPI/>. This package also provides functions for data simulation and network analysis (correlation, partial correlation, and Bayesian networks).
Author: Han Wu Shuang Bao [aut, cre]
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>

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Package mappings updated to version 0.2.0 with previous version 0.1 dated 2021-06-23

Title: Functions for Transforming Categorical Variables
Description: Easily create functions to map between different sets of values, such as for re-labeling categorical variables.
Author: Benjamin Rich [aut, cre, cph]
Maintainer: Benjamin Rich <mail@benjaminrich.net>

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Package ProfileLadder updated to version 0.2.1 with previous version 0.1.4 dated 2025-08-18

Title: Functional-Based Chain Ladder for Claims Reserving
Description: Functional claims reserving methods based on aggregated chain-ladder data, also known as a run-off triangle, implemented in three nonparametric algorithms (PARALLAX, REACT, and MACRAME) proposed in Maciak, Mizera, and Pešta (2022) <doi:10.1017/asb.2022.4>. Additional methods including permutation bootstrap for completed run-off triangles are also provided.
Author: Matus Maciak [aut, cre], Rastislav Matus [aut, ctb], Ivan Mizera [aut], Michal Pesta [aut]
Maintainer: Matus Maciak <maciak@karlin.mff.cuni.cz>

Diff between ProfileLadder versions 0.1.4 dated 2025-08-18 and 0.2.1 dated 2025-10-23

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Package RobLoxBioC (with last version 1.2.3) was removed from CRAN

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

2025-01-19 1.2.3
2024-02-11 1.2.2

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

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

2025-08-25 0.2.5
2023-08-24 0.2.4
2022-09-08 0.2.3
2022-06-29 0.2.2
2020-11-06 0.2.1
2019-05-27 0.1.10
2018-10-08 0.1.9
2018-07-06 0.1.8
2018-04-30 0.1.7
2018-01-25 0.1.6
2017-11-06 0.1.5
2017-10-17 0.1.4
2017-08-07 0.1.3
2017-05-09 0.1.2
2017-01-23 0.1.1
2016-08-29 0.1.0

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Package oncoPredict (with last version 1.2) was removed from CRAN

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

2024-04-05 1.2
2021-09-24 0.2

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Package multiDEGGs (with last version 1.1.0) was removed from CRAN

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

2025-07-29 1.1.0
2025-06-05 1.0.0

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Package ISwR updated to version 2.0-11 with previous version 2.0-10 dated 2025-03-23

Title: Introductory Statistics with R
Description: Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Author: Peter Dalgaard [aut, cre]
Maintainer: Peter Dalgaard <pd.mes@cbs.dk>

Diff between ISwR versions 2.0-10 dated 2025-03-23 and 2.0-11 dated 2025-10-23

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Package CohortCharacteristics updated to version 1.0.2 with previous version 1.0.1 dated 2025-09-30

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between CohortCharacteristics versions 1.0.1 dated 2025-09-30 and 1.0.2 dated 2025-10-23

 DESCRIPTION                                              |    6 
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 tests/testthat/setup.R                                   |    4 
 tests/testthat/test-summariseLargeScaleCharacteristics.R |   96 +-
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