Wed, 30 Jul 2025

Package evola updated to version 1.0.6 with previous version 1.0.5 dated 2025-04-25

Title: Evolutionary Algorithm
Description: Runs an evolutionary algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> .
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package yarrr readmission to version 0.1.14 with previous version 0.1.5 dated 2017-04-19

Title: A Companion to the e-Book "YaRrr!: The Pirate's Guide to R"
Description: Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://bookdown.org/ndphillips/YaRrr/>.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <nathaniel.d.phillips.is@gmail.com>

This is a re-admission after prior archival of version 0.1.5 dated 2017-04-19

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Package rscopus updated to version 0.9.0 with previous version 0.8.1 dated 2025-04-02

Title: Scopus Database 'API' Interface
Description: Uses Elsevier 'Scopus' API <https://dev.elsevier.com/sc_apis.html> to download information about authors and their citations.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package GeoModels updated to version 2.1.8 with previous version 2.1.7 dated 2025-07-18

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package ConversationAlign updated to version 0.3.2 with previous version 0.2.0 dated 2025-07-22

Title: Process Text and Compute Linguistic Alignment in Conversation Transcripts
Description: Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.
Author: Jamie Reilly [aut, cre] , Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>

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Package bdots updated to version 2.0.0 with previous version 1.2.5 dated 2023-01-06

Title: Bootstrapped Differences of Time Series
Description: Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.
Author: Collin Nolte [aut, cre], Michael Seedorff [aut], Jacob Oleson [aut], Grant Brown [aut], Joseph Cavanaugh [aut], Bob McMurray [aut]
Maintainer: Collin Nolte <noltecollin@grinnell.edu>

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Package JANE updated to version 2.0.0 with previous version 1.1.0 dated 2025-06-06

Title: Just Another Latent Space Network Clustering Algorithm
Description: Fit latent space network cluster models using an expectation-maximization algorithm. Enables flexible modeling of unweighted or weighted network data (with or without noise edges), supporting both directed and undirected networks (with or without degree and strength heterogeneity). Designed to handle large networks efficiently, it allows users to explore network structure through latent space representations, identify clusters (i.e., community detection) within network data, and simulate networks with varying clustering, connectivity patterns, and noise edges. Methodology for the implementation is described in Arakkal and Sewell (2025) <doi:10.1016/j.csda.2025.108228>.
Author: Alan Arakkal [aut, cre, cph] , Daniel Sewell [aut]
Maintainer: Alan Arakkal <alan-arakkal@uiowa.edu>

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Package cccp updated to version 0.3-2 with previous version 0.3-1 dated 2023-12-09

Title: Cone Constrained Convex Problems
Description: Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <https://cvxopt.org> for more information).
Author: Bernhard Pfaff [aut, cre], Lieven Vandenberghe [cph] , Martin Andersen [cph] , Joachim Dahl [cph]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

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Package shotGroups updated to version 0.8.4 with previous version 0.8.2 dated 2022-09-17

Title: Analyze Shot Group Data
Description: Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target, 'ShotMarker' e-target, 'SIUS' e-target, or 'Taran', as well as with custom data files in text format. Supports inference from range statistics such as extreme spread. Includes a set of web-based graphical user interfaces.
Author: Daniel Wollschlaeger [aut, cre]
Maintainer: Daniel Wollschlaeger <dwoll@kuci.org>

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Package connectapi updated to version 0.8.0 with previous version 0.7.0 dated 2025-03-27

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Toph Allen [aut, cre], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Toph Allen <toph@posit.co>

Diff between connectapi versions 0.7.0 dated 2025-03-27 and 0.8.0 dated 2025-07-30

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Permanent link

Package netgsa updated to version 4.0.6 with previous version 4.0.5 dated 2023-11-14

Title: Network-Based Gene Set Analysis
Description: Carry out network-based gene set analysis by incorporating external information about interactions among genes, as well as novel interactions learned from data. Implements methods described in Shojaie A, Michailidis G (2010) <doi:10.1093/biomet/asq038>, Shojaie A, Michailidis G (2009) <doi:10.1089/cmb.2008.0081>, and Ma J, Shojaie A, Michailidis G (2016) <doi:10.1093/bioinformatics/btw410>.
Author: Michael Hellstern [aut, cre], Ali Shojaie [aut], Jing Ma [aut], Kun Yue [aut]
Maintainer: Michael Hellstern <mikeh1@uw.edu>

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Permanent link

Package movementsync updated to version 0.1.5 with previous version 0.1.4 dated 2023-06-09

Title: Analysis and Visualisation of Musical Audio and Video Movement Synchrony Data
Description: Analysis and visualisation of synchrony, interaction, and joint movements from audio and video movement data of a group of music performers. The demo is data described in Clayton, Leante, and Tarsitani (2021) <doi:10.17605/OSF.IO/KS325>, while example analyses can be found in Clayton, Jakubowski, and Eerola (2019) <doi:10.1177/1029864919844809>. Additionally, wavelet analysis techniques have been applied to examine movement-related musical interactions, as shown in Eerola et al. (2018) <doi:10.1098/rsos.171520>.
Author: Tuomas Eerola [aut, cre, cph] , Martin Clayton [aut] , Paul Emms [aut]
Maintainer: Tuomas Eerola <tuomas.eerola@durham.ac.uk>

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Package mlr3 updated to version 1.1.0 with previous version 1.0.1 dated 2025-07-03

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [ctb] , [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package xega updated to version 0.9.0.12 with previous version 0.9.0.8 dated 2025-04-17

Title: Extended Evolutionary and Genetic Algorithms
Description: Implementation of a scalable, highly configurable, and e(x)tended architecture for (e)volutionary and (g)enetic (a)lgorithms. Multiple representations (binary, real-coded, permutation, and derivation-tree), a rich collection of genetic operators, as well as an extended processing pipeline are provided for genetic algorithms (Goldberg, D. E. (1989, ISBN:0-201-15767-5)), differential evolution (Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>), simulated annealing (Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7)), grammar-based genetic programming (Geyer-Schulz (1997, ISBN:978-3-7908-0830-X)), and grammatical evolution (Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>). All algorithms reuse basic adaptive mechanisms for performance optimization. Sequential or parallel execution (on multi-core machines, local clusters, and high-performance computing environments) is available for all algorithms. S [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package cophescan updated to version 1.4.2 with previous version 1.4.1 dated 2024-06-11

Title: Adaptation of the Coloc Method for PheWAS
Description: A Bayesian method for Phenome-wide association studies (PheWAS) that identifies causal associations between genetic variants and traits, while simultaneously addressing confounding due to linkage disequilibrium. For details see Manipur et al (2024, Nature Communications) <doi:10.1038/s41467-024-49990-8>.
Author: Ichcha Manipur [aut, cre], Chris Wallace [aut]
Maintainer: Ichcha Manipur <im504@cam.ac.uk>

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Package tidySEM updated to version 0.2.9 with previous version 0.2.8 dated 2025-03-04

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize. Includes functionality to estimate latent class analyses, and to plot 'dagitty' and 'igraph' objects.
Author: Caspar J. van Lissa [aut, cre] , Mauricio Garnier-Villarreal [ctb] , Frank C Gootjes [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package CohortConstructor updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-08

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package mosaic updated to version 1.9.2 with previous version 1.9.1 dated 2024-02-23

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim [aut, cre], Daniel T. Kaplan [aut], Nicholas J. Horton [aut]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package metaforest updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-26

Title: Exploring Heterogeneity in Meta-Analysis using Random Forests
Description: Conduct random forests-based meta-analysis, obtain partial dependence plots for metaforest and classic meta-analyses, and cross-validate and tune metaforest- and classic meta-analyses in conjunction with the caret package. A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates (Van Lissa, 2020). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the margin [...truncated...]
Author: Caspar J. Van Lissa [aut, cre]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@gmail.com>

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Package medparser updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-27

Title: MedPC Text Parser
Description: Parses information from text files with specific utility aimed at pulling information from Med Associate's (MPC) files. These functions allow for further analysis of MPC files.
Author: Olivia Ortelli [aut, cre], Tony Colarusso [aut]
Maintainer: Olivia Ortelli <oortelli@wakehealth.edu>

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Package bigutilsr updated to version 0.3.11 with previous version 0.3.4 dated 2021-04-13

Title: Utility Functions for Large-scale Data
Description: Utility functions for large-scale data. For now, package 'bigutilsr' mainly includes functions for outlier detection and unbiased PCA projection.
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

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Package RGENERATEPREC updated to version 1.3.2 with previous version 1.2.9 dated 2022-01-20

Title: Tools to Generate Daily-Precipitation Time Series
Description: The method 'generate()' is extended for spatial multi-site stochastic generation of daily precipitation. It generates precipitation occurrence in several sites using logit regression (Generalized Linear Models) and the approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .
Author: Emanuele Cordano [aut, cre, ctb]
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

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Package probably updated to version 1.1.1 with previous version 1.1.0 dated 2025-05-21

Title: Tools for Post-Processing Predicted Values
Description: Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package movedesign updated to version 0.3.2 with previous version 0.3.1 dated 2025-06-24

Title: Study Design Toolbox for Movement Ecology Studies
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
Author: Ines Silva [cre, aut, cph]
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>

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Package ILSM updated to version 1.1.0.1 with previous version 1.0.3.2 dated 2024-09-04

Title: Analyze Interconnection Structure of Tripartite Interaction Networks
Description: In view of the analysis of the structural characteristics of the tripartite network has been complete, however, there is still a lack of a unified operation that can quickly obtain the corresponding characteristics of the tripartite network. To solve this insufficiency, 'ILSM' was designed for supporting calculating such metrics of tripartite networks by functions of this R package.
Author: Weicheng Sun [aut, cre], Chuan Yan [aut], Yangyang Zhao [aut]
Maintainer: Weicheng Sun <sunwch2023@lzu.edu.cn>

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Package funcMapper updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-24

Title: Map User-Created Functions
Description: Create an interactive function map by analyzing a specified R script. It uses the find_dependencies() function from the 'functiondepends' package to recursively trace all user-defined function dependencies.
Author: Antonio Fratamico [aut, cre]
Maintainer: Antonio Fratamico <fratamicoa@outlook.com>

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Package fastR2 updated to version 1.2.5 with previous version 1.2.4 dated 2023-11-09

Title: Foundations and Applications of Statistics Using R (2nd Edition)
Description: Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Author: Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package xegaPopulation updated to version 1.0.0.8 with previous version 1.0.0.7 dated 2025-04-16

Title: Genetic Population Level Functions
Description: This collection of gene representation-independent functions implements the population layer of extended evolutionary and genetic algorithms and its support. The population layer consists of functions for initializing, logging, observing, evaluating a population of genes, as well as of computing the next population. For parallel evaluation of a population of genes 4 execution models - named Sequential, MultiCore, FutureApply, and Cluster - are provided. They are implemented by configuring the lapply() function. The execution model FutureApply can be externally configured as recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized approximate search procedure elements. Adaptive crossover and mutation rates depending on po [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package ResIN updated to version 2.2.1 with previous version 2.2.0 dated 2025-07-11

Title: Response Item Networks
Description: Contains various tools to perform and visualize Response Item Networks ('ResIN's'). 'ResIN' binarizes ordered-categorical and qualitative response choices from (survey) data, calculates pairwise associations and maps the location of each item response as a node in a force-directed network. Please refer to <https://www.resinmethod.net/> for more details.
Author: Philip Warncke [cre, aut], Dino Carpentras [aut], Adrian Lueders [aut]
Maintainer: Philip Warncke <philip.warncke@ul.ie>

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Package IsoplotR updated to version 6.7 with previous version 6.6 dated 2025-05-08

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington', 'Ludwig' and Omnivariant Generalised Least-Squares ('OGLS') approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isoch [...truncated...]
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package iNEXT updated to version 3.0.2 with previous version 3.0.1 dated 2024-03-24

Title: Interpolation and Extrapolation for Species Diversity
Description: Provides simple functions to compute and plot two types (sample-size- and coverage-based) rarefaction and extrapolation curves for species diversity (Hill numbers) based on individual-based abundance data or sampling-unit- based incidence data; see Chao and others (2014, Ecological Monographs) for pertinent theory and methodologies, and Hsieh, Ma and Chao (2016, Methods in Ecology and Evolution) for an introduction of the R package.
Author: T. C. Hsieh [aut], K. H. Ma [aut], Anne Chao [aut, cre]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

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Package OmicNavigator updated to version 1.16.0 with previous version 1.15.0 dated 2025-05-28

Title: Open-Source Software for 'Omic' Data Analysis and Visualization
Description: A tool for interactive exploration of the results from 'omics' experiments to facilitate novel discoveries from high-throughput biology. The software includes R functions for the 'bioinformatician' to deposit study metadata and the outputs from statistical analyses (e.g. differential expression, enrichment). These results are then exported to an interactive JavaScript dashboard that can be interrogated on the user's local machine or deployed online to be explored by collaborators. The dashboard includes 'sortable' tables, interactive plots including network visualization, and fine-grained filtering based on statistical significance.
Author: Terrence Ernst [aut] , John Blischak [aut, cre] , Paul Nordlund [aut] , Justin Moore [aut] , Joe Dalen [aut] , Akshay Bhamidipati [aut] , Brett Engelmann [aut], Marco Curado [aut] , Joe LoGrasso [aut] , Elyse Geoffroy [ctb], AbbVie Inc. [cph, fnd]
Maintainer: John Blischak <jdblischak@gmail.com>

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Package intamap updated to version 1.5-11 with previous version 1.5-10 dated 2025-07-17

Title: Procedures for Automated Interpolation
Description: Geostatistical interpolation has traditionally been done by manually fitting a variogram and then interpolating. Here, we introduce classes and methods that can do this interpolation automatically. Pebesma et al (2010) gives an overview of the methods behind and possible usage <doi:10.1016/j.cageo.2010.03.019>.
Author: Edzer Pebesma [aut], Jon Olav Skoien [aut, cre], Olivier Baume [ctb], A Chorti [ctb], Dionisis Hristopulos [ctb], Hannes Kazianka [ctb], Stepahnie Melles [ctb], Giannis Spiliopoulos [ctb]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

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Package EFAtools updated to version 0.6.1 with previous version 0.6.0 dated 2025-06-19

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre], Silvia Grieder [aut], William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

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Package clubSandwich updated to version 0.6.1 with previous version 0.6.0 dated 2025-04-01

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), geeglm() (from package 'geepack'), lm_robust() and lm_lin() (from package 'estimatr'), ivreg() (from package 'AER'), ivreg() (from package [...truncated...]
Author: James E. Pustejovsky [aut, cre] , Samuel Pekofsky [ctb], Jingru Zhang [ctb]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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Package ggmice updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-07

Title: Visualizations for 'mice' with 'ggplot2'
Description: Enhance a 'mice' imputation workflow with visualizations for incomplete and/or imputed data. The plotting functions produce 'ggplot' objects which may be easily manipulated or extended. Use 'ggmice' to inspect missing data, develop imputation models, evaluate algorithmic convergence, or compare observed versus imputed data.
Author: Hanne Oberman [aut, cre] , Utrecht University [fnd], University Medical Centre Utrecht [fnd], Thom Volker [ctb] , Gerko Vink [ctb] , Pepijn Vink [ctb] , Jamie Wallis [ctb] , Kyle Lang [ctb]
Maintainer: Hanne Oberman <h.i.oberman@uu.nl>

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Package KinMixLite updated to version 2.2.1 with previous version 2.2.0 dated 2025-07-15

Title: Inference About Relationships from DNA Mixtures
Description: Methods for inference about/under complex relationships using peak height data from DNA mixtures: the most basic example would be testing whether a contributor to a mixture is the father of a child of known genotype. This provides most of the functionality of the 'KinMix' package, but with some loss of efficiency and restriction on problem size, as the latter uses 'RHugin' as the Bayes net engine, while this package uses 'gRain'. The package implements the methods introduced in Green, P. J. and Mortera, J. (2017) <doi:10.1016/j.fsigen.2017.02.001> and Green, P. J. and Mortera, J. (2021) <doi:10.1111/rssc.12498>.
Author: Peter Green [aut, cre]
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>

Diff between KinMixLite versions 2.2.0 dated 2025-07-15 and 2.2.1 dated 2025-07-30

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Package worldmet updated to version 0.10.0 with previous version 0.9.9 dated 2025-01-14

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database>).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.9.9 dated 2025-01-14 and 0.10.0 dated 2025-07-30

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Package sjmisc updated to version 2.8.11 with previous version 2.8.10 dated 2024-05-13

Title: Data and Variable Transformation Functions
Description: Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Author: Daniel Luedecke [aut, cre] , Iago Gine-Vazquez [ctb], Alexander Bartel [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between sjmisc versions 2.8.10 dated 2024-05-13 and 2.8.11 dated 2025-07-30

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Package plotthis updated to version 0.7.3 with previous version 0.7.2 dated 2025-07-12

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>

Diff between plotthis versions 0.7.2 dated 2025-07-12 and 0.7.3 dated 2025-07-30

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Package PAGE updated to version 0.3.0 with previous version 0.2.0 dated 2025-07-29

Title: Predictor-Assisted Graphical Models under Error-in-Variables
Description: We consider the network structure detection for variables Y with auxiliary variables X accommodated, which are possibly subject to measurement error. The following three functions are designed to address various structures by different methods : one is NP_Graph() that is used for handling the nonlinear relationship between the responses and the covariates, another is Joint_Gaussian() that is used for correction in linear regression models via the Gaussian maximum likelihood, and the other Cond_Gaussian() is for linear regression models via conditional likelihood function.
Author: Wan-Yi Chang [aut, cre], Li-Pang Chen [aut]
Maintainer: Wan-Yi Chang <jessica306a@gmail.com>

Diff between PAGE versions 0.2.0 dated 2025-07-29 and 0.3.0 dated 2025-07-30

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Package OBIC updated to version 4.0.0 with previous version 3.0.3 dated 2024-09-09

Title: Calculate the Open Bodem Index (OBI) Score
Description: The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.
Author: Sven Verweij [aut, cre] , Gerard Ros [aut] , Yuki Fujita [aut] , Wilbrand Hendrik Riechelman [aut] , Kees van den Dool [aut] , Job de Pater [ctb], Nutrienten Managment Instituut [cph]
Maintainer: Sven Verweij <sven.verweij@nmi-agro.nl>

Diff between OBIC versions 3.0.3 dated 2024-09-09 and 4.0.0 dated 2025-07-30

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Package marmap updated to version 1.0.12 with previous version 1.0.10 dated 2023-03-24

Title: Import, Plot and Analyze Bathymetric and Topographic Data
Description: Import bathymetric and hypsometric data from the NOAA (National Oceanic and Atmospheric Administration, <https://www.ncei.noaa.gov/products/etopo-global-relief-model>), GEBCO (General Bathymetric Chart of the Oceans, <https://www.gebco.net>) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.
Author: Eric Pante [aut], Benoit Simon-Bouhet [aut, cre], Jean-Olivier Irisson [aut]
Maintainer: Benoit Simon-Bouhet <besibo@gmail.com>

Diff between marmap versions 1.0.10 dated 2023-03-24 and 1.0.12 dated 2025-07-30

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Package BayesTools updated to version 0.2.20 with previous version 0.2.19 dated 2025-06-08

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between BayesTools versions 0.2.19 dated 2025-06-08 and 0.2.20 dated 2025-07-30

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Package arakno updated to version 1.3.1 with previous version 1.3.0 dated 2022-08-23

Title: ARAchnid KNowledge Online
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pmcardoso@ciencias.ulisboa.pt>

Diff between arakno versions 1.3.0 dated 2022-08-23 and 1.3.1 dated 2025-07-30

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Package adas.utils updated to version 1.2.1 with previous version 1.2.0 dated 2025-05-06

Title: Design of Experiments and Factorial Plans Utilities
Description: A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>

Diff between adas.utils versions 1.2.0 dated 2025-05-06 and 1.2.1 dated 2025-07-30

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New package staninside with initial version 0.0.4
Package: staninside
Title: Facilitating the Use of 'Stan' Within Packages
Version: 0.0.4
Description: Infrastructure and functions that can be used for integrating 'Stan' (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>) code into stand alone R packages which in turn use the 'CmdStan' engine which is often accessed through 'CmdStanR'. Details given in Stan Development Team (2025) <https://mc-stan.org/cmdstanr/>. Using 'CmdStanR' and pre-written 'Stan' code can make package installation easy. Using 'staninside' offers a way to cache user-compiled 'Stan' models in user-specified directories reducing the need to recompile the same model multiple times.
License: MIT + file LICENSE
URL: https://github.com/medewitt/staninside, https://medewitt.github.io/staninside/
BugReports: https://github.com/medewitt/staninside/issues
Encoding: UTF-8
Depends: R (>= 3.1)
Suggests: knitr, covr, spelling, testthat (>= 3.0.0), rmarkdown
Imports: cli, fs, rappdirs
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-28 14:54:18 UTC; michael
Author: Michael DeWitt [aut, cre]
Maintainer: Michael DeWitt <me.dewitt.jr@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-30 08:30:02 UTC

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New package Silhouette with initial version 0.9.4
Package: Silhouette
Title: Proximity Measure Based Diagnostics for Standard, Soft, and Multi-Way Clustering
Version: 0.9.4
Language: en-US
Maintainer: Shrikrishna Bhat K <skbhat.in@gmail.com>
Description: Quantifies clustering quality by measuring both cohesion within clusters and separation between clusters. Implements advanced silhouette width computations for diverse clustering structures, including: simplified silhouette (Van der Laan et al., 2003) <doi:10.1080/0094965031000136012>, Probability of Alternative Cluster normalization methods (Raymaekers & Rousseeuw, 2022) <doi:10.1080/10618600.2022.2050249>, fuzzy clustering and silhouette diagnostics using membership probabilities (Campello & Hruschka, 2006; Bhat & Kiruthika, 2024) <doi:10.1016/j.fss.2006.07.006>, <doi:10.1080/23737484.2024.2408534>, and multi-way clustering extensions such as block and tensor clustering (Schepers et al., 2008; Bhat & Kiruthika, 2025) <doi:10.1007/s00357-008-9005-9>, <doi:10.21203/rs.3.rs-6973596/v1>. Provides tools for computation and visualization (Rousseeuw, 1987) <doi:10.1016/0377-0427(87)90125-7> to support robust and reproducible cluster [...truncated...]
License: GPL-2
URL: https://kskbhat.github.io/Silhouette/
Encoding: UTF-8
Imports: dplyr, ggplot2, ggpubr, methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ppclust, blockcluster, cluster, factoextra, proxy
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-28 09:02:31 UTC; Gubbi
Author: Shrikrishna Bhat K [aut, cre, cph] , Kiruthika C [aut]
Repository: CRAN
Date/Publication: 2025-07-30 08:20:02 UTC

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Package runonce updated to version 0.3.2 with previous version 0.2.3 dated 2021-10-02

Title: Run Once and Save Result
Description: Package 'runonce' helps automating the saving of long-running code to help running the same code multiple times. If you run some long-running code once, it saves the result in a file on disk. Then, if the result already exists, i.e. if the code has already been run and its output has already been saved, it just reads the result from the stored file instead of running the code again.
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

Diff between runonce versions 0.2.3 dated 2021-10-02 and 0.3.2 dated 2025-07-30

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New package REPS with initial version 1.0.0
Package: REPS
Title: Hedonic and Multilateral Index Methods for Real Estate Price Statistics
Version: 1.0.0
Maintainer: Vivek Gajadhar <v.gajadhar@cbs.nl>
Description: Compute price indices using various Hedonic and multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time series re-estimation with splicing). The central function calculate_price_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows across a wide range of domains — including but not limited to real estate — where quality-adjusted price comparisons over time are essential. The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands. The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).
License: EUPL-1.2
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: dplyr, stats, KFAS, stringr, lmtest
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/vivekag7/REPS
BugReports: https://github.com/vivekag7/REPS/issues
NeedsCompilation: no
Packaged: 2025-07-28 06:52:08 UTC; VGAR
Author: Farley Ishaak [aut], Pim Ouwehand [aut], David Pietersz [aut], Liu Nuo Su [aut], Cynthia Cao [aut], Mohammed Kardal [aut], Odens van der Zwan [aut], Vivek Gajadhar [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-30 08:10:02 UTC

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Package REddyProc updated to version 1.3.4 with previous version 1.3.3 dated 2024-01-25

Title: Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Description: Standard and extensible Eddy-Covariance data post-processing (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>) includes uStar-filtering, gap-filling, and flux-partitioning. The Eddy-Covariance (EC) micrometeorological technique quantifies continuous exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere. It is important for understanding ecosystem dynamics and upscaling exchange fluxes. (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>). This package inputs pre-processed (half-)hourly data and supports further processing. First, a quality-check and filtering is performed based on the relationship between measured flux and friction velocity (uStar) to discard biased data (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>). Second, gaps in the data are filled based on information from environmental conditions (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>). Third, the net flux of carbon dioxide is partiti [...truncated...]
Author: Department for Biogeochemical Integration at MPI-BGC, Jena, Germany [cph], Thomas Wutzler [aut, cre], Markus Reichstein [aut], Antje Maria Moffat [aut, trl], Olaf Menzer [ctb], Mirco Migliavacca [aut], Kerstin Sickel [ctb, trl], Ladislav <U+0160>igut [...truncated...]
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

Diff between REddyProc versions 1.3.3 dated 2024-01-25 and 1.3.4 dated 2025-07-30

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Package nhstplot updated to version 1.4.0 with previous version 1.3.0 dated 2024-03-01

Title: Plot Null Hypothesis Significance Tests
Description: Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nilsmyszkowskiscience@gmail.com>

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Package jskm updated to version 0.5.14 with previous version 0.5.13 dated 2025-06-12

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jskm versions 0.5.13 dated 2025-06-12 and 0.5.14 dated 2025-07-30

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Package dtmapi (with last version 0.0.3) was removed from CRAN

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

2025-06-23 0.0.3
2024-09-17 0.0.2
2024-09-16 0.0.1

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Package xactonomial updated to version 1.2.0 with previous version 1.0.3 dated 2025-04-28

Title: Inference for Functions of Multinomial Parameters
Description: We consider the problem where we observe k vectors (possibly of different lengths), each representing an independent multinomial random vector. For a given function that takes in the concatenated vector of multinomial probabilities and outputs a real number, this is a Monte Carlo estimation procedure of an exact p-value and confidence interval. The resulting inference is valid even in small samples, when the parameter is on the boundary, and when the function is not differentiable at the parameter value, all situations where asymptotic methods and the bootstrap would fail. For more details see Sachs, Fay, and Gabriel (2025) <doi:10.48550/arXiv.2406.19141>.
Author: Michael C Sachs [aut, cre], Michael P Fay [aut], Erin E Gabriel [aut], David B Dahl [ctb] )
Maintainer: Michael C Sachs <sachsmc@gmail.com>

Diff between xactonomial versions 1.0.3 dated 2025-04-28 and 1.2.0 dated 2025-07-30

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New package statioVAR with initial version 0.1.2
Package: statioVAR
Title: Trend Removal for Vector Autoregressive Workflows
Version: 0.1.2
Description: Detrending multivariate time-series to approximate stationarity when dealing with intensive longitudinal data, prior to Vector Autoregressive (VAR) or multilevel-VAR estimation. Classical VAR assumes weak stationarity (constant first two moments), and deterministic trends inflate spurious autocorrelation, biasing Granger-causality and impulse-response analyses. All functions operate on raw panel data and write detrended columns back to the data set, but differ in the level at which the trend is estimated. See, for instance, Wang & Maxwell (2015) <doi:10.1037/met0000030>; Burger et al. (2022) <doi:10.4324/9781003111238-13>; Epskamp et al. (2018) <doi:10.1177/2167702617744325>.
URL: https://github.com/g-corbelli/statioVAR
BugReports: https://github.com/g-corbelli/statioVAR/issues
License: GPL-3
Encoding: UTF-8
Imports: dplyr, rlang, stats
Suggests: shiny, testthat (>= 3.0.0), knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uniroma1.it>
Packaged: 2025-07-27 22:40:53 UTC; giuse
Author: Giuseppe Corbelli [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-30 08:00:07 UTC

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New package ggdmcLikelihood with initial version 0.2.9.0
Package: ggdmcLikelihood
Title: Likelihood Computation for 'ggdmc' Package
Version: 0.2.9.0
Date: 2025-07-28
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Efficient computation of likelihoods in design-based choice response time models, including the Decision Diffusion Model, is supported. The package enables rapid evaluation of likelihood functions for both single- and multi-subject models across trial-level data. It also offers fast initialisation of starting parameters for genetic sampling with many Markov chains, facilitating estimation in complex models typically found in experimental psychology and behavioural science. These optimisations help reduce computational overhead in large-scale model fitting tasks.
License: GPL (>= 2)
URL: https://github.com/yxlin/ggdmcLikelihood
Imports: Rcpp (>= 1.0.7)
Depends: R (>= 3.5.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat, ggdmcModel
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-28 00:44:01 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-30 08:00:12 UTC

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Package pawacc updated to version 1.2.4 with previous version 1.2.3 dated 2024-02-12

Title: Physical Activity with Accelerometers
Description: Functions to process, format and store ActiGraph GT1M and GT3X accelerometer data.
Author: Marco Geraci [aut, cph, cre]
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

Diff between pawacc versions 1.2.3 dated 2024-02-12 and 1.2.4 dated 2025-07-30

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Package SPUTNIK (with last version 1.4.3) was removed from CRAN

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

2025-06-23 1.4.3
2024-04-16 1.4.2

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Package forestecology (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:

2021-10-02 0.2.0
2021-03-12 0.1.0

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Package intSDM (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:

2025-01-13 2.1.1
2024-08-21 2.1.0

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Package blockCV (with last version 3.1-6) was removed from CRAN

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

2025-06-23 3.1-6
2024-11-01 3.1-5
2024-05-23 3.1-4
2023-06-04 3.1-3
2023-05-20 3.1-2
2023-04-08 3.1-1
2023-02-06 3.0-0
2021-06-17 2.1.4
2020-02-23 2.1.1

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Package glossa (with last version 1.2.2) was removed from CRAN

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

2025-07-15 1.2.2

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Package BRVM (with last version 5.3.0) was removed from CRAN

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

2024-02-21 5.3.0

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Package PointedSDMs (with last version 2.1.3) was removed from CRAN

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

2025-01-13 2.1.3
2024-08-21 2.1.2
2024-07-08 2.1.0
2024-02-02 1.3.2
2023-10-10 1.3.1
2023-08-09 1.3
2023-02-07 1.2.1
2023-01-16 1.2.0
2022-09-05 1.1.1
2022-08-31 1.1.0
2022-06-15 1.0.6
2022-06-14 1.0.5

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Package sommer updated to version 4.4.3 with previous version 4.4.2 dated 2025-05-26

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>

Diff between sommer versions 4.4.2 dated 2025-05-26 and 4.4.3 dated 2025-07-30

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Package mosaicCore updated to version 0.9.5 with previous version 0.9.4.0 dated 2023-11-04

Title: Common Utilities for Other MOSAIC-Family Packages
Description: Common utilities used in other MOSAIC-family packages are collected here.
Author: Randall Pruim [aut, cre], Daniel T. Kaplan [aut], Nicholas J. Horton [aut]
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between mosaicCore versions 0.9.4.0 dated 2023-11-04 and 0.9.5 dated 2025-07-30

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Package duckplyr updated to version 1.1.1 with previous version 1.1.0 dated 2025-05-08

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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