Wed, 02 Apr 2025

Package bsamGP updated to version 1.2.6 with previous version 1.2.5 dated 2024-03-18

Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjop@gmail.com>

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Package rbgm updated to version 0.2.0 with previous version 0.1.0 dated 2020-04-12

Title: Tools for 'Box Geometry Model' (BGM) Files and Topology for the Atlantis Ecosystem Model
Description: Facilities for working with Atlantis box-geometry model (BGM) files. Atlantis is a deterministic, biogeochemical, whole-of-ecosystem model. Functions are provided to read from BGM files directly, preserving their internal topology, as well as helper functions to generate spatial data from these mesh forms. This functionality aims to simplify the creation and modification of box and geometry as well as the ability to integrate with other data sources.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package PROJ updated to version 0.6.0 with previous version 0.5.0 dated 2024-06-12

Title: Generic Coordinate System Transformations Using 'PROJ'
Description: A wrapper around the generic coordinate transformation software 'PROJ' that transforms coordinates from one coordinate reference system ('CRS') to another. This includes cartographic projections as well as geodetic transformations. The intention is for this package to be used by user-packages such as 'reproj', and that the older 'PROJ.4' and version 5 pathways be provided by the 'proj4' package.
Author: Michael D. Sumner [aut, cre] , Jeroen Ooms [ctb] , Simon Urbanek [cph, ctb] , Dewey Dunnington [ctb] , Anthony North [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package growthPheno updated to version 3.1.11 with previous version 3.1.10 dated 2025-01-12

Title: Functional Analysis of Phenotypic Growth Data to Smooth and Extract Traits
Description: Assists in the plotting and functional smoothing of traits measured over time and the extraction of features from these traits, implementing the SET (Smoothing and Extraction of Traits) method described in Brien et al. (2020) Plant Methods, 16. Smoothing of growth trends for individual plants using natural cubic smoothing splines or P-splines is available for removing transient effects and segmented smoothing is available to deal with discontinuities in growth trends. There are graphical tools for assessing the adequacy of trait smoothing, both when using this and other packages, such as those that fit nonlinear growth models. A range of per-unit (plant, pot, plot) growth traits or features can be extracted from the data, including single time points, interval growth rates and other growth statistics, such as maximum growth or days to maximum growth. The package also has tools adapted to inputting data from high-throughput phenotyping facilities, such from a Lemna-Tec Scananalyzer 3D ( [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package faoutlier updated to version 0.7.7 with previous version 0.7.6 dated 2021-01-10

Title: Influential Case Detection Methods for Factor Analysis and Structural Equation Models
Description: Tools for detecting and summarize influential cases that can affect exploratory and confirmatory factor analysis models as well as structural equation models more generally (Chalmers, 2015, <doi:10.1177/0146621615597894>; Flora, D. B., LaBrish, C. & Chalmers, R. P., 2012, <doi:10.3389/fpsyg.2012.00055>).
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package glmmTMB updated to version 1.1.11 with previous version 1.1.10 dated 2024-09-26

Title: Generalized Linear Mixed Models using Template Model Builder
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
Author: Mollie Brooks [aut, cre] , Ben Bolker [aut] , Kasper Kristensen [aut], Martin Maechler [aut] , Arni Magnusson [aut] , Maeve McGillycuddy [ctb], Hans Skaug [aut] , Anders Nielsen [aut] , Casper Berg [aut] , Koen van Bentham [aut], Nafis Sadat [ctb] , [...truncated...]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>

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Package scDECO updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-04

Title: Estimating Dynamic Correlation
Description: Implementations for two different Bayesian models of differential co-expression. scdeco.cop() fits the bivariate Gaussian copula model from Zichen Ma, Shannon W. Davis, Yen-Yi Ho (2023) <doi:10.1111/biom.13701>, while scdeco.pg() fits the bivariate Poisson-Gamma model from Zhen Yang, Yen-Yi Ho (2022) <doi:10.1111/biom.13457>.
Author: Anderson Bussing [aut, cre], Yen-Yi Ho [aut, ths], Zichen Ma [aut], Zhen Yang [aut]
Maintainer: Anderson Bussing <abussing@email.sc.edu>

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Package BGmisc updated to version 1.3.5 with previous version 1.3.3 dated 2025-02-19

Title: An R Package for Extended Behavior Genetics Analysis
Description: Provides functions for behavior genetics analysis, including variance component model identification [Hunter et al. (2021) <doi:10.1007/s10519-021-10055-x>], calculation of relatedness coefficients using path-tracing methods [Wright (1922) <doi:10.1086/279872>; McArdle & McDonald (1984) <doi:10.1111/j.2044-8317.1984.tb00802.x>], inference of relatedness, pedigree conversion, and simulation of multi-generational family data [Lyu et al. (2024) <doi:10.1101/2024.12.19.629449>]. For a full overview, see Garrison et al. (2024) <doi:10.21105/joss.06203>.
Author: S. Mason Garrison [aut, cre] , Michael D. Hunter [aut] , Xuanyu Lyu [aut] , Rachel N. Good [ctb], Jonathan D. Trattner [aut] , S. Alexandra Burt [aut]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

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Package rsample updated to version 1.3.0 with previous version 1.2.1 dated 2024-03-25

Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Author: Hannah Frick [aut, cre] , Fanny Chow [aut], Max Kuhn [aut], Michael Mahoney [aut] , Julia Silge [aut] , Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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New package multiDoE with initial version 0.9.4
Package: multiDoE
Title: Multi-Criteria Design of Experiments for Optimal Design
Version: 0.9.4
Maintainer: Andrea Melloncelli <andrea.melloncelli@vanlog.it>
Description: Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.
License: CC BY 4.0
URL: https://github.com/andreamelloncelli/multiDoE
Depends: R (>= 3.5.0)
Imports: ggplot2, magrittr, plotly, pracma
Suggests: devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-02 17:06:07 UTC; mello
Author: Francesca Cucchi [aut], Andrea Melloncelli [aut, cre], Francesco Sambo [aut], Kalliopi Mylona [aut], Matteo Borrotti [aut]
Repository: CRAN
Date/Publication: 2025-04-02 21:50:06 UTC

More information about multiDoE at CRAN
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Package fio updated to version 0.1.5 with previous version 0.1.2 dated 2024-08-27

Title: Friendly Input-Output Analysis
Description: Simplifies the process of importing and managing input-output matrices from 'Microsoft Excel' into R, and provides a suite of functions for analysis. It leverages the 'R6' class for clean, memory-efficient object-oriented programming. Furthermore, all linear algebra computations are implemented in 'Rust' to achieve highly optimized performance.
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>

Diff between fio versions 0.1.2 dated 2024-08-27 and 0.1.5 dated 2025-04-02

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Package AllelicSeries updated to version 0.1.1.5 with previous version 0.1.1.2 dated 2024-11-23

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, O’Dushlaine C, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2023) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1016/j.ajhg.2023.07.001>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , Thomas Soare [ctb] , Jianhui Gao [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>

Diff between AllelicSeries versions 0.1.1.2 dated 2024-11-23 and 0.1.1.5 dated 2025-04-02

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Package xfun updated to version 0.52 with previous version 0.51 dated 2025-02-19

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package PSpower updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-15

Title: Sample Size Calculation for Propensity Score Analysis
Description: Sample size calculations in causal inference with observational data are increasingly desired. This package is a tool to calculate sample size under prespecified power with minimal summary quantities needed.
Author: Bo Liu [aut, cre], Xiaoxiao Zhou [ctb], Fan Li [ctb]
Maintainer: Bo Liu <bl226@duke.edu>

Diff between PSpower versions 0.1.0 dated 2025-01-15 and 0.1.1 dated 2025-04-02

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Package PAMscapes updated to version 0.11.3 with previous version 0.10.0 dated 2025-01-29

Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.
Author: Taiki Sakai [aut, cre], Anne Simonis [ctb], Shannon Rankin [ctb], Megan McKenna [ctb], Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package dsb updated to version 2.0.0 with previous version 1.0.4 dated 2024-06-15

Title: Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)
Description: This lightweight R package provides a method for normalizing and denoising protein expression data from droplet based single cell experiments. Raw protein Unique Molecular Index (UMI) counts from sequencing DNA-conjugated antibody derived tags (ADT) in droplets (e.g. 'CITE-seq') have substantial measurement noise. Our experiments and computational modeling revealed two major components of this noise: 1) protein-specific noise originating from ambient, unbound antibody encapsulated in droplets that can be accurately inferred via the expected protein counts detected in empty droplets, and 2) droplet/cell-specific noise revealed via the shared variance component associated with isotype antibody controls and background protein counts in each cell. This package normalizes and removes both of these sources of noise from raw protein data derived from methods such as 'CITE-seq', 'REAP-seq', 'ASAP-seq', 'TEA-seq', 'proteogenomic' data from the Mission Bio platform, etc. See the vignette for tut [...truncated...]
Author: Matthew Mule [aut, cre] , Andrew Martins [aut] , John Tsang [pdr]
Maintainer: Matthew Mule <mattmule@gmail.com>

Diff between dsb versions 1.0.4 dated 2024-06-15 and 2.0.0 dated 2025-04-02

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Package pnd updated to version 0.0.10 with previous version 0.0.9 dated 2025-03-11

Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

Diff between pnd versions 0.0.9 dated 2025-03-11 and 0.0.10 dated 2025-04-02

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Package penetrance updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-03

Title: Methods for Penetrance Estimation in Family-Based Studies
Description: Implements statistical methods for estimating disease penetrance in family-based studies. Penetrance refers to the probability of disease§ manifestation in individuals carrying specific genetic variants. The package provides tools for age-specific penetrance estimation, handling missing data, and accounting for ascertainment bias in family studies. Cite as: Kubista, N., Braun, D. & Parmigiani, G. (2024) <doi:10.48550/arXiv.2411.18816>.
Author: Nicolas Kubista [aut, cre], BayesMendel Lab [aut]
Maintainer: Nicolas Kubista <bmendel@jimmy.harvard.edu>

Diff between penetrance versions 0.1.0 dated 2025-03-03 and 0.1.1 dated 2025-04-02

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Package pRecipe updated to version 3.0.3 with previous version 3.0.2 dated 2024-12-07

Title: Precipitation R Recipes
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut, ths]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

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Package MonotonicityTest updated to version 1.1 with previous version 1.0 dated 2025-01-17

Title: Nonparametric Bootstrap Test for Regression Monotonicity
Description: Implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) <doi:10.1214/aos/1016120363> Includes tools for visualizing results using Nadaraya-Watson kernel regression and supports efficient computation with 'C++'.
Author: Dylan Huynh [aut, cre]
Maintainer: Dylan Huynh <dylanhuynh@utexas.edu>

Diff between MonotonicityTest versions 1.0 dated 2025-01-17 and 1.1 dated 2025-04-02

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Package GeneCycle updated to version 1.1.6 with previous version 1.1.5 dated 2021-01-05

Title: Identification of Periodically Expressed Genes
Description: The GeneCycle package implements the approaches of Wichert et al. (2004) <doi:10.1093/bioinformatics/btg364>, Ahdesmaki et al. (2005) <doi:10.1186/1471-2105-6-117> and Ahdesmaki et al. (2007) <DOI:10.1186/1471-2105-8-233> for detecting periodically expressed genes from gene expression time series data.
Author: Miika Ahdesmaki [aut, cre], Konstantinos Fokianos [aut], Korbinian Strimmer [aut]
Maintainer: Miika Ahdesmaki <miika.ahdesmaki@gmail.com>

Diff between GeneCycle versions 1.1.5 dated 2021-01-05 and 1.1.6 dated 2025-04-02

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Package dbarts updated to version 0.9-32 with previous version 0.9-30 dated 2024-12-03

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/Metropolis-Hastings sampler. Also serves as a drop-in replacement for package 'BayesTree'.
Author: Vincent Dorie [aut, cre] , Hugh Chipman [aut], Robert McCulloch [aut], Armon Dadgar [ctb] , R Core Team [ctb] , Guido U Draheim [ctb] , Maarten Bosmans [ctb] , Christophe Tournayre [ctb] , Michael Petch [ctb] , Rafael de Lucena Valle [ctb] , Steven G [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between dbarts versions 0.9-30 dated 2024-12-03 and 0.9-32 dated 2025-04-02

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Package basifoR updated to version 0.4.1 with previous version 0.4 dated 2021-09-20

Title: Retrieval and Processing of the Spanish National Forest Inventory
Description: Data sets of the Spanish National Forest Inventory <https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible.html> are processed to compute tree metrics and statistics. Function metrics2Vol() controls most of the routines.
Author: Wilson Lara [aut, cre] , Cristobal Ordonez [aut] , Felipe Bravo [aut]
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between basifoR versions 0.4 dated 2021-09-20 and 0.4.1 dated 2025-04-02

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New package SwPcIndex with initial version 0.1.0
Package: SwPcIndex
Title: Computation of Survey Weighted PC Based Composite Index
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: An index is created using a mathematical model that transforms multi-dimensional variables into a single value. These variables are often correlated, and while PCA-based indices can address the issue of multicollinearity, they typically do not account for survey weights, which can lead to inaccurate rankings of survey units such as households, districts, or states. To resolve this, the current package facilitates the development of a principal component analysis-based composite index by incorporating survey weights for each sample observation. This ensures the generation of a survey-weighted principal component-based normalized composite index. Additionally, the package provides a normalized principal component-based composite index and ranks the sample observations based on the values of the composite indices. For method details see, Skinner, C. J., Holmes, D. J. and Smith, T. M. F. (1986) <DOI:10.1080/01621459.1986.10478336>, Singh, D., Basak, P., Kumar, R. and Ahmad, T. (2023) [...truncated...]
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Author: Pradip Basak [aut, cph, cre], Deepak Singh [aut, cph], Raju Kumar [aut, cph], Tauqueer Ahmad [aut, cph]
Maintainer: Pradip Basak <pradip@ubkv.ac.in>
Packaged: 2025-04-01 18:04:36 UTC; Dr. Pradeep
Repository: CRAN
Date/Publication: 2025-04-02 17:40:12 UTC

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New package stochcorr with initial version 0.0.1
Package: stochcorr
Title: Stochastic Correlation Modelling via Circular Diffusion
Version: 0.0.1
Description: Performs simulation and inference of diffusion processes on circle. Stochastic correlation models based on circular diffusion models are provided. For details see Majumdar, S. and Laha, A.K. (2024) "Diffusion on the circle and a stochastic correlation model" <doi:10.48550/arXiv.2412.06343>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, nloptr, progress, foreach, doSNOW, snow
Suggests: ggplot2
Author: Sourav Majumdar [aut, cre]
Maintainer: Sourav Majumdar <souravm@iitk.ac.in>
NeedsCompilation: yes
Packaged: 2025-04-01 05:53:14 UTC; sourav
Repository: CRAN
Date/Publication: 2025-04-02 17:20:01 UTC

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New package SecretsProvider with initial version 1.0.0
Package: SecretsProvider
Title: Save and Retrieve Name-Value Pairs to and from a File
Version: 1.0.0
Date: 2025-03-07
Maintainer: Koen Greuell <vlic@lifewatch.eu>
Description: Facilitates secret management by storing credentials in a dedicated file, keeping them out of your code base. The secrets are stored without encryption. This package is compatible with secrets stored by the 'SecretsProvider' 'Python' package <https://pypi.org/project/SecretsProvider/>.
License: Apache License (== 2.0)
Suggests: testthat (>= 3.0.0), getPass
NeedsCompilation: no
Packaged: 2025-04-01 12:15:59 UTC; koen-greuell
Author: Koen Greuell [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-02 17:20:05 UTC

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New package RKaggle with initial version 0.1.0
Package: RKaggle
Title: 'Kaggle' Dataset Downloader 'API'
Version: 0.1.0
Description: Easily download datasets from Kaggle <https://www.kaggle.com/> directly into your R environment using 'RKaggle'. Streamline your data analysis workflows by importing datasets effortlessly and focusing on insights rather than manual data handling. Perfect for data enthusiasts and professionals looking to integrate Kaggle datasets into their R projects with minimal hassle.
License: MIT + file LICENSE
URL: https://github.com/benyamindsmith/RKaggle
BugReports: https://github.com/benyamindsmith/RKaggle/issues
Encoding: UTF-8
Imports: httr, readr, withr, jsonlite, arrow, readODS, tibble, readxl
Depends: R (>= 4.1.0)
Suggests: conflicted
NeedsCompilation: no
Packaged: 2025-04-01 20:24:14 UTC; ben29
Author: Benjamin Smith [aut, cre]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-04-02 17:50:07 UTC

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Package PakNAcc updated to version 0.3.0 with previous version 0.1.0 dated 2024-11-11

Title: 'shiny' App for National Accounts
Description: Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly National Accounts data. Users can gain detailed insights into Pakistan's economic performance, visualize quarterly trends, and detect patterns and anomalies in key economic indicators. Compare sector contributions—including agriculture, industry, and services—to understand their influence on economic growth or decline. Customize analyses by filtering and manipulating data to focus on specific areas of interest. Ideal for policymakers, researchers, and analysts aiming to make informed, data-driven decisions based on timely and detailed economic insights.
Author: Muhammad Yaseen [aut, cre, cph] , Zahid Asghar [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between PakNAcc versions 0.1.0 dated 2024-11-11 and 0.3.0 dated 2025-04-02

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New package maxEff with initial version 0.1.1
Package: maxEff
Title: Additional Predictor with Maximum Effect Size
Version: 0.1.1
Date: 2025-04-01
Description: Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
Encoding: UTF-8
License: GPL-2
Depends: R (>= 4.4),
Language: en-US
Imports: caret, parallel, rpart, spatstat.geom
Suggests: knitr, groupedHyperframe, survival, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 17:18:23 UTC; tingtingzhan
Author: Tingting Zhan [aut, cre] , Inna Chervoneva [aut]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:01 UTC

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Package LSAfun updated to version 0.8.1 with previous version 0.7.1 dated 2023-11-17

Title: Applied Latent Semantic Analysis (LSA) Functions
Description: Provides functions that allow for convenient working with vector space models of semantics/distributional semantic models/word embeddings. Originally built for LSA models (hence the name), but can be used for all such vector-based models. For actually building a vector semantic space, use the package 'lsa' or other specialized software. Downloadable semantic spaces can be found at <https://sites.google.com/site/fritzgntr/software-resources>.
Author: Fritz Guenther [aut, cre]
Maintainer: Fritz Guenther <fritz.guenther@uni-tuebingen.de>

Diff between LSAfun versions 0.7.1 dated 2023-11-17 and 0.8.1 dated 2025-04-02

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Package leidenbase updated to version 0.1.35 with previous version 0.1.32 dated 2025-02-05

Title: R and C/C++ Wrappers to Run the Leiden find_partition() Function
Description: An R to C/C++ interface that runs the Leiden community detection algorithm to find a basic partition (). It runs the equivalent of the 'leidenalg' find_partition() function, which is given in the 'leidenalg' distribution file 'leiden/src/functions.py'. This package includes the required source code files from the official 'leidenalg' distribution and functions from the R 'igraph' package. The 'leidenalg' distribution is available from <https://github.com/vtraag/leidenalg/> and the R 'igraph' package is available from <https://igraph.org/r/>. The Leiden algorithm is described in the article by Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>. Leidenbase includes code from the packages: igraph version 0.9.8 with license GPL (>= 2), leidenalg version 0.8.10 with license GPL 3.
Author: Brent Ewing [aut, cre], Vincent Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Szabolcs Horvat [ctb], Fabio Zanini [ctb]
Maintainer: Brent Ewing <bge@uw.edu>

Diff between leidenbase versions 0.1.32 dated 2025-02-05 and 0.1.35 dated 2025-04-02

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New package HTGM with initial version 1.0
Package: HTGM
Version: 1.0
Date: 2025-03-26
Title: High Throughput 'GoMiner'
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
Imports: minimalistGODB, GoMiner, grDevices, stats, gplots
LazyData: true
LazyDataCompression: xz
Description: Two papers published in the early 2000's (Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) and (Zeeberg, B.R., Qin, H., Narashimhan, S., et al. (2005) <doi:10.1186/1471-2105-6-168>) implement 'GoMiner' and 'High Throughput GoMiner' ('HTGM') to map lists of genes to the Gene Ontology (GO) <https://geneontology.org>. Until recently, these were hosted on a server at The National Cancer Institute (NCI). In order to continue providing these services to the bio-medical community, I have developed stand-alone versions. The current package 'HTGM' builds upon my recent package 'GoMiner'. The output of 'GoMiner' is a heatmap showing the relationship of a single list of genes and the significant categories into which they map. 'High Throughput GoMiner' ('HTGM') integrates the results of the individual 'GoMiner' analyses. The output of 'HTGM' is a heatmap showing the relationship of the significant categories derived from each gene list. The heatmap [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-01 13:36:39 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2025-04-02 17:40:18 UTC

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Permanent link

Package dndR updated to version 3.0.0 with previous version 2.0.0 dated 2024-04-26

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). Some functions apply to many tabletop role-playing games (e.g., dice rolling), but others are focused on Fifth Edition (a.k.a. "5e") and where possible both there 2014 and 2024 versions are supported.
Author: Nicholas Lyon [aut, cre, cph] , Tim Schatto-Eckrodt [aut] , Humberto Nappo [ctb]
Maintainer: Nicholas Lyon <njlyon@alumni.iastate.edu>

Diff between dndR versions 2.0.0 dated 2024-04-26 and 3.0.0 dated 2025-04-02

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New package castgen with initial version 1.0.2
Package: castgen
Title: Estimate Sample Size for Population Genomic Studies
Version: 1.0.2
Description: Estimate sample sizes needed to capture target levels of genetic diversity from a population (multivariate allele frequencies) for applications like germplasm conservation and breeding efforts. Compares bootstrap samples to a full population using linear regression, employing the R-squared value to represent the proportion of diversity captured. Iteratively increases sample size until a user-defined target R-squared is met. Offers a parallelized R implementation of a previously developed 'python' method. All ploidy levels are supported. For more details, see Sandercock et al. (2024) <doi:10.1073/pnas.2403505121>.
License: Apache License (>= 2)
URL: https://github.com/alex-sandercock/castgen
BugReports: https://github.com/alex-sandercock/castgen/issues
Imports: doParallel (>= 1.0.17), dplyr (>= 1.1.2), foreach (>= 1.5.2), parallel (>= 4.0.0), Rdpack (>= 0.7), stats, utils, vcfR (>= 1.15.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-01 19:42:07 UTC; ams866
Author: Alexander M. Sandercock [aut, cre]
Maintainer: Alexander M. Sandercock <ams866@cornell.edu>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:05 UTC

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New package bidsr with initial version 0.1.0
Package: bidsr
Title: A Brain Imaging Data Structure ('BIDS') Parser
Version: 0.1.0
URL: https://dipterix.org/bidsr/, https://github.com/dipterix/bidsr/
BugReports: https://github.com/dipterix/bidsr/issues
Description: Parse and read the files that comply with the brain imaging data structure, or 'BIDS' format, see the publication from Gorgolewski, K., Auer, T., Calhoun, V. et al. (2016) <doi:10.1038/sdata.2016.44>. Provides query functions to extract and check the 'BIDS' entity information (such as subject, session, task, etc.) from the file paths and suffixes according to the specification. The package is developed and used in the reproducible analysis and visualization of intracranial electroencephalography, or 'RAVE', see Magnotti, J. F., Wang, Z., and Beauchamp, M. S. (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("bidsr")' for details and attributions.
Copyright: This software includes material (schema files from directory 'inst/bids-schema') from the 'BIDS' specification, which is licensed under a Creative Commons Attribution 4.0 International License; see a copy of the license under 'inst/bids-schema/LICENSE.txt', and website <https://bids.neuroimaging.io> for details.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: checkmate, data.table, fastmap, fs, jsonlite, nanotime, S7 (>= 0.2.0), utils, uuid
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 14:48:04 UTC; dipterix
Author: Zhengjia Wang [aut, cre] , Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 17:40:08 UTC

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Package smooth updated to version 4.2.0 with previous version 4.1.1 dated 2025-02-03

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package mlflow updated to version 2.21.2 with previous version 2.20.4 dated 2025-03-15

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

Diff between mlflow versions 2.20.4 dated 2025-03-15 and 2.21.2 dated 2025-04-02

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Package yaConsensus updated to version 1.1 with previous version 1.0 dated 2021-07-01

Title: Consensus Clustering of Omic Data
Description: Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.
Author: Stefano Maria Pagnotta [aut, cre, cph]
Maintainer: Stefano Maria Pagnotta <pagnotta@unisannio.it>

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Package twc updated to version 0.0.2 with previous version 0.0.1 dated 2024-12-02

Title: Terrestrial Water Cycle
Description: An open-access tool/framework that constitutes the core functions to analyze terrestrial water cycle data across various spatio-temporal scales.
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

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Package tbrf updated to version 0.1.6 with previous version 0.1.5 dated 2020-04-09

Title: Time-Based Rolling Functions
Description: Provides rolling statistical functions based on date and time windows instead of n-lagged observations.
Author: Michael Schramm [aut, cre, cph] , Frank Harrell [ctb]
Maintainer: Michael Schramm <mpschramm@gmail.com>

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Package opendatatoronto updated to version 0.1.6 with previous version 0.1.5 dated 2022-04-13

Title: Access the City of Toronto Open Data Portal
Description: Access data from the "City of Toronto Open Data Portal" (<https://open.toronto.ca>) directly from R.
Author: Sharla Gelfand [aut, cre], City of Toronto [cph, fnd]
Maintainer: Sharla Gelfand <sharla.gelfand@gmail.com>

Diff between opendatatoronto versions 0.1.5 dated 2022-04-13 and 0.1.6 dated 2025-04-02

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Package lattice updated to version 0.22-7 with previous version 0.22-6 dated 2024-03-20

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar [aut, cre] , Felix Andrews [ctb], Kevin Wright [ctb] , Neil Klepeis [ctb], Johan Larsson [ctb] , Zhijian Wen [cph] , Paul Murrell [ctb], Stefan Eng [ctb] , Achim Zeileis [ctb] , Alexandre Courtiol [ctb]
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

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Package dimensio updated to version 0.13.0 with previous version 0.12.0 dated 2025-02-25

Title: Multivariate Data Analysis
Description: Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
Author: Nicolas Frerebeau [aut, cre] , Jean-Baptiste Fourvel [ctb] , Camille Thabard [ctb] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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New package D4TAlink.light with initial version 2.1.18
Package: D4TAlink.light
Title: GDP - Workflow Management
Version: 2.1.18
Date: 2025-03-28
Author: Gregoire Thomas [aut, cre]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>
Description: Tools, methods and processes for the management of analysis workflows. These lightweight solutions facilitate structuring R&D activities. These solutions were developed to comply with Good Documentation Practice (GDP), with ALCOA+ principles as proposed by the U.S. FDA, and with FAIR principles as discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.
Depends: R (>= 4.0.0), jsonlite, openssl
Imports: officedown, utils, rmarkdown, Biobase, openxlsx,reticulate,feather, getPass
Suggests: knitr, roxygen2 (>= 3.1.0), WriteXLS,XLConnect,xlsx, testthat
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://bitbucket.org/SQ4/d4talink.light
ByteCompile: true
Repository: CRAN
BugReports: https://bitbucket.org/SQ4/d4talink.light/issues
NeedsCompilation: no
Packaged: 2025-03-28 17:12:28 UTC; GregoireThomas
Date/Publication: 2025-04-02 15:50:10 UTC

More information about D4TAlink.light at CRAN
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Package tame updated to version 0.2.0 with previous version 0.0.1 dated 2023-02-23

Title: Timing, Anatomical, Therapeutic and Chemical Based Medication Clustering
Description: Agglomerative hierarchical clustering with a bespoke distance measure based on medication similarities in the Anatomical Therapeutic Chemical Classification System, medication timing and medication amount or dosage. Tools for summarizing, illustrating and manipulating the cluster objects are also available.
Author: Anna Laksafoss [aut, cre]
Maintainer: Anna Laksafoss <adls@ssi.dk>

Diff between tame versions 0.0.1 dated 2023-02-23 and 0.2.0 dated 2025-04-02

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Package praatpicture updated to version 1.4.2 with previous version 1.4.0 dated 2025-01-14

Title: 'Praat Picture' Style Plots of Acoustic Data
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <r.puggaard@phonetik.uni-muenchen.de>

Diff between praatpicture versions 1.4.0 dated 2025-01-14 and 1.4.2 dated 2025-04-02

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 R/tgplot.R                                                                          |   55 +++++-
 R/waveplot.R                                                                        |   34 ++-
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 man/formantplot.Rd                                                                  |    3 
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 man/pitchplot.Rd                                                                    |    3 
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Package mgcv updated to version 1.9-2 with previous version 1.9-1 dated 2023-12-20

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>

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Package LNPar updated to version 1.1.1 with previous version 1.1.0 dated 2025-03-24

Title: Estimation and Testing for a Lognormal-Pareto Mixture
Description: Estimates a lognormal-Pareto mixture by means of the Expectation-Conditional-Maximization-Either algorithm and by maximizing the profile likelihood function. A likelihood ratio test for discriminating between lognormal and Pareto tail is also implemented. See Bee, M. (2022) <doi:10.1007/s11634-022-00497-4>.
Author: Marco Bee [aut, cre]
Maintainer: Marco Bee <marco.bee@unitn.it>

Diff between LNPar versions 1.1.0 dated 2025-03-24 and 1.1.1 dated 2025-04-02

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Package bespatial updated to version 0.1.3 with previous version 0.1.2 dated 2024-06-07

Title: Boltzmann Entropy for Spatial Data
Description: Calculates several entropy metrics for spatial data inspired by Boltzmann's entropy formula. It includes metrics introduced by Cushman for landscape mosaics (Cushman (2015) <doi:10.1007/s10980-015-0305-2>), and landscape gradients and point patterns (Cushman (2021) <doi:10.3390/e23121616>); by Zhao and Zhang for landscape mosaics (Zhao and Zhang (2019) <doi:10.1007/s10980-019-00876-x>); and by Gao et al. for landscape gradients (Gao et al. (2018) <doi:10.1111/tgis.12315>; Gao and Li (2019) <doi:10.1007/s10980-019-00854-3>).
Author: Jakub Nowosad [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package RJSDMX updated to version 3.6-0 with previous version 3.5-0 dated 2024-11-07

Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: <https://sdmx.org>.
Author: Attilio Mattiocco [aut, cre]
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>

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Package CohortSurvival updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-19

Title: Estimate Survival from Common Data Model Cohorts
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>

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Package biotools updated to version 4.3 with previous version 4.2 dated 2021-08-07

Title: Tools for Biometry and Applied Statistics in Agricultural Science
Description: Tools designed to perform and evaluate cluster analysis (including Tocher's algorithm), discriminant analysis and path analysis (standard and under collinearity), as well as some useful miscellaneous tools for dealing with sample size and optimum plot size calculations. A test for seed sample heterogeneity is now available. Mantel's permutation test can be found in this package. A new approach for calculating its power is implemented. biotools also contains tests for genetic covariance components. Heuristic approaches for performing non-parametric spatial predictions of generic response variables and spatial gene diversity are implemented.
Author: Anderson Rodrigo da Silva [aut, cre]
Maintainer: Anderson Rodrigo da Silva <anderson.agro@hotmail.com>

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Package BigDataPE updated to version 0.0.96 with previous version 0.0.95 dated 2025-02-17

Title: Secure and Intuitive Access to 'BigDataPE' 'API' Datasets
Description: Designed to simplify the process of retrieving datasets from the 'Big Data PE' platform using secure token-based authentication. It provides functions for securely storing, retrieving, and managing tokens associated with specific datasets, as well as fetching and processing data using the 'httr2' package.
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package simsem updated to version 0.5-17 with previous version 0.5-16 dated 2021-03-28

Title: SIMulated Structural Equation Modeling
Description: Provides an easy framework for Monte Carlo simulation in structural equation modeling, which can be used for various purposes, such as such as model fit evaluation, power analysis, or missing data handling and planning.
Author: Sunthud Pornprasertmanit [aut], Patrick Miller [aut], Alexander M. Schoemann [aut] , Terrence D. Jorgensen [aut, cre] , Corbin Quick [ctb]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package nanotime updated to version 0.3.12 with previous version 0.3.11 dated 2025-01-10

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel [aut, cre] , Leonardo Silvestri [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package kstMatrix updated to version 1.2-0 with previous version 1.1-0 dated 2025-01-26

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
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 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces developed by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Wai Wong [ctb]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package gamCopula updated to version 0.0-8 with previous version 0.0-7 dated 2020-02-05

Title: Generalized Additive Models for Bivariate Conditional Dependence Structures and Vine Copulas
Description: Implementation of various inference and simulation tools to apply generalized additive models to bivariate dependence structures and non-simplified vine copulas.
Author: Thomas Nagler [aut], Thibault Vatter [aut, cre]
Maintainer: Thibault Vatter <thibault.vatter@gmail.com>

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Package TDAvec updated to version 0.1.41 with previous version 0.1.4 dated 2025-02-15

Title: Vector Summaries of Persistence Diagrams
Description: Provides tools for computing various vector summaries of persistence diagrams studied in Topological Data Analysis. For improved computational efficiency, all code for the vector summaries is written in 'C++' using the 'Rcpp' and 'RcppArmadillo' packages.
Author: Umar Islambekov [aut], Aleksei Luchinsky [aut, cre]
Maintainer: Aleksei Luchinsky <aluchi@bgsu.edu>

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Package tabula updated to version 3.2.1 with previous version 3.2.0 dated 2025-01-10

Title: Analysis and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Matthew Peeples [ctb] , Ben Marwick [ctb] , Jean-Baptiste Fourvel [ctb] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package silp updated to version 1.0.2 with previous version 1.0.1 dated 2025-03-11

Title: Conditional Process Analysis (CPA) via SEM Approach
Description: Utilizes the Reliability-Adjusted Product Indicator (RAPI) method to estimate effects among latent variables, thus allowing for more precise definition and analysis of mediation and moderation models. Our simulation studies reveal that while 'silp' may exhibit instability with smaller sample sizes and lower reliability scores (e.g., N = 100, 'omega' = 0.7), implementing nearest positive definite matrix correction and bootstrap confidence interval estimation can significantly ameliorate this volatility. When these adjustments are applied, 'silp' achieves estimations akin in quality to those derived from LMS. In conclusion, the 'silp' package is a valuable tool for researchers seeking to explore complex relational structures between variables without resorting to commercial software. Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0> Hsiao et al.(2018)<doi:10.1177/0013164416679877>.
Author: Yi-Hsuan Tseng [aut, cre], Po-Hsien Huang [aut]
Maintainer: Yi-Hsuan Tseng <r12227115@g.ntu.edu.tw>

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Package MortalityLaws updated to version 2.1.2 with previous version 2.1.0 dated 2024-01-15

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.
Author: Marius D. Pascariu [aut, cre, cph] , Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

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Package clustvarsel updated to version 2.3.5 with previous version 2.3.4 dated 2020-12-16

Title: Variable Selection for Gaussian Model-Based Clustering
Description: Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting 'mclust' models. By default the algorithm uses a sequential search, but parallelisation is also available.
Author: Nema Dean [aut] , Adrian E. Raftery [aut], Luca Scrucca [aut, cre]
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>

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Package terra updated to version 1.8-42 with previous version 1.8-29 dated 2025-02-26

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Marcia Barbosa [ctb], Roger Bivand [ctb] , Andrew Brown [ctb], Michael Chirico [ctb], Emanuele Cordano [ctb] , Krzysztof Dyba [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb], Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.8-29 dated 2025-02-26 and 1.8-42 dated 2025-04-02

 terra-1.8-29/terra/R/plot_legend.R                       |only
 terra-1.8-29/terra/src/Makevars.win                      |only
 terra-1.8-42/terra/DESCRIPTION                           |   10 
 terra-1.8-42/terra/MD5                                   |  891 ++---
 terra-1.8-42/terra/NAMESPACE                             |    2 
 terra-1.8-42/terra/NEWS.md                               |   44 
 terra-1.8-42/terra/R/Aclasses.R                          |  315 -
 terra-1.8-42/terra/R/Agenerics.R                         |    6 
 terra-1.8-42/terra/R/Arith_generics.R                    | 1534 ++++----
 terra-1.8-42/terra/R/RGB.R                               |  458 +-
 terra-1.8-42/terra/R/RcppExports.R                       |    4 
 terra-1.8-42/terra/R/SpatRasterDataset.R                 |  871 ++--
 terra-1.8-42/terra/R/SpatVectorCollection.R              |  336 -
 terra-1.8-42/terra/R/Zdeprecated.R                       |  138 
 terra-1.8-42/terra/R/aggregate.R                         |  654 +--
 terra-1.8-42/terra/R/animate.R                           |   64 
 terra-1.8-42/terra/R/app.R                               |  688 +--
 terra-1.8-42/terra/R/approximate.R                       |  126 
 terra-1.8-42/terra/R/arith.R                             |   74 
 terra-1.8-42/terra/R/autocor.R                           |  408 +-
 terra-1.8-42/terra/R/cells.R                             |  194 -
 terra-1.8-42/terra/R/clean.R                             |  140 
 terra-1.8-42/terra/R/click.R                             |  318 -
 terra-1.8-42/terra/R/clip.R                              |   84 
 terra-1.8-42/terra/R/coerce.R                            | 1529 ++++----
 terra-1.8-42/terra/R/colors.R                            |  194 -
 terra-1.8-42/terra/R/connect.R                           |  162 
 terra-1.8-42/terra/R/crosstab.R                          |  168 
 terra-1.8-42/terra/R/crs.R                               |  784 ++--
 terra-1.8-42/terra/R/dimensions.R                        |  414 +-
 terra-1.8-42/terra/R/distance.R                          |  607 +--
 terra-1.8-42/terra/R/draw.R                              |  176 -
 terra-1.8-42/terra/R/expand.R                            |  126 
 terra-1.8-42/terra/R/extent.R                            |  746 ++--
 terra-1.8-42/terra/R/extract.R                           | 1195 +++---
 terra-1.8-42/terra/R/extract_single.R                    |  612 +--
 terra-1.8-42/terra/R/focal.R                             | 1714 ++++-----
 terra-1.8-42/terra/R/focalMat.R                          |  148 
 terra-1.8-42/terra/R/gcp.R                               |   90 
 terra-1.8-42/terra/R/gdal.R                              |  362 +-
 terra-1.8-42/terra/R/generics.R                          | 2621 +++++++--------
 terra-1.8-42/terra/R/geocolors.R                         |   22 
 terra-1.8-42/terra/R/geom.R                              | 1625 ++++-----
 terra-1.8-42/terra/R/graticule.R                         |  452 +-
 terra-1.8-42/terra/R/hist.R                              |  212 -
 terra-1.8-42/terra/R/ifelse.R                            |  102 
 terra-1.8-42/terra/R/image.R                             |   54 
 terra-1.8-42/terra/R/init.R                              |   84 
 terra-1.8-42/terra/R/inset.R                             |  252 -
 terra-1.8-42/terra/R/interpolate.R                       |  154 
 terra-1.8-42/terra/R/k_means.R                           |  126 
 terra-1.8-42/terra/R/lapp.R                              |  650 +--
 terra-1.8-42/terra/R/layerCor.R                          |  396 +-
 terra-1.8-42/terra/R/levels.R                            | 1015 ++---
 terra-1.8-42/terra/R/lines.R                             |  322 -
 terra-1.8-42/terra/R/makeVRT.R                           |  244 -
 terra-1.8-42/terra/R/match.R                             |  126 
 terra-1.8-42/terra/R/math.R                              |  240 -
 terra-1.8-42/terra/R/merge.R                             |  154 
 terra-1.8-42/terra/R/mergeTime.R                         |  208 -
 terra-1.8-42/terra/R/messages.R                          |  156 
 terra-1.8-42/terra/R/names.R                             |  548 +--
 terra-1.8-42/terra/R/ncdf.R                              | 1214 +++---
 terra-1.8-42/terra/R/options.R                           |  433 +-
 terra-1.8-42/terra/R/panel.R                             |  222 -
 terra-1.8-42/terra/R/plotExtent.R                        |   76 
 terra-1.8-42/terra/R/plotRGB.R                           |  146 
 terra-1.8-42/terra/R/plot_2rasters.R                     |  404 +-
 terra-1.8-42/terra/R/plot_add.R                          |only
 terra-1.8-42/terra/R/plot_axes.R                         |  396 +-
 terra-1.8-42/terra/R/plot_cartogram.R                    |   44 
 terra-1.8-42/terra/R/plot_helper.R                       |only
 terra-1.8-42/terra/R/plot_legend_classes.R               |only
 terra-1.8-42/terra/R/plot_legend_continuous.R            |only
 terra-1.8-42/terra/R/plot_let.R                          |   16 
 terra-1.8-42/terra/R/plot_raster.R                       | 1907 ++++------
 terra-1.8-42/terra/R/plot_scale.R                        |  562 +--
 terra-1.8-42/terra/R/plot_vector.R                       | 1626 ++++-----
 terra-1.8-42/terra/R/predict.R                           |  541 +--
 terra-1.8-42/terra/R/princomp.R                          |   88 
 terra-1.8-42/terra/R/rapp.R                              |  152 
 terra-1.8-42/terra/R/rast.R                              | 1203 +++---
 terra-1.8-42/terra/R/rasterize.R                         |  731 ++--
 terra-1.8-42/terra/R/rasterizeWin.R                      |  734 ++--
 terra-1.8-42/terra/R/readsvg.R                           |  152 
 terra-1.8-42/terra/R/regress.R                           |  350 +-
 terra-1.8-42/terra/R/relate.R                            |  830 ++--
 terra-1.8-42/terra/R/replace.R                           |  606 +--
 terra-1.8-42/terra/R/replace_layer.R                     |  264 -
 terra-1.8-42/terra/R/replace_values.R                    |  732 ++--
 terra-1.8-42/terra/R/roll.R                              |  148 
 terra-1.8-42/terra/R/rowSums.R                           |  186 -
 terra-1.8-42/terra/R/sample.R                            | 2010 +++++------
 terra-1.8-42/terra/R/select.R                            |   92 
 terra-1.8-42/terra/R/selectHigh.R                        |   24 
 terra-1.8-42/terra/R/show.R                              |   29 
 terra-1.8-42/terra/R/spatDF.R                            |  194 -
 terra-1.8-42/terra/R/subset.R                            |  614 +--
 terra-1.8-42/terra/R/tags.R                              |  448 +-
 terra-1.8-42/terra/R/tapp.R                              |  380 +-
 terra-1.8-42/terra/R/tempfiles.R                         |  138 
 terra-1.8-42/terra/R/tiles.R                             |  282 -
 terra-1.8-42/terra/R/time.R                              |  774 ++--
 terra-1.8-42/terra/R/twoClasses.R                        |  152 
 terra-1.8-42/terra/R/update.R                            |   22 
 terra-1.8-42/terra/R/values.R                            | 1172 +++---
 terra-1.8-42/terra/R/vect.R                              | 1066 +++---
 terra-1.8-42/terra/R/watershed.R                         |   88 
 terra-1.8-42/terra/R/window.R                            |   68 
 terra-1.8-42/terra/R/wrap.R                              | 1038 ++---
 terra-1.8-42/terra/R/write.R                             |  378 +-
 terra-1.8-42/terra/R/xapp.R                              |  144 
 terra-1.8-42/terra/R/xyRowColCell.R                      |  468 +-
 terra-1.8-42/terra/R/zonal.R                             | 1150 +++---
 terra-1.8-42/terra/R/zoom.R                              |  100 
 terra-1.8-42/terra/R/zzz.R                               |  121 
 terra-1.8-42/terra/build/partial.rdb                     |binary
 terra-1.8-42/terra/configure                             |  693 ++-
 terra-1.8-42/terra/configure.ac                          |   80 
 terra-1.8-42/terra/inst/ex/test.grd                      |   52 
 terra-1.8-42/terra/inst/tinytest/test_aggregate.R        |   26 
 terra-1.8-42/terra/inst/tinytest/test_arith.R            |   14 
 terra-1.8-42/terra/inst/tinytest/test_cats.R             |  118 
 terra-1.8-42/terra/inst/tinytest/test_classify.R         |   48 
 terra-1.8-42/terra/inst/tinytest/test_crds.R             |   14 
 terra-1.8-42/terra/inst/tinytest/test_crop.R             |   58 
 terra-1.8-42/terra/inst/tinytest/test_equal.R            |   32 
 terra-1.8-42/terra/inst/tinytest/test_extent.R           |    6 
 terra-1.8-42/terra/inst/tinytest/test_extract.R          |  470 +-
 terra-1.8-42/terra/inst/tinytest/test_flowAccumulation.R |   68 
 terra-1.8-42/terra/inst/tinytest/test_focal.R            |  164 
 terra-1.8-42/terra/inst/tinytest/test_geom.R             |   44 
 terra-1.8-42/terra/inst/tinytest/test_global.R           |   22 
 terra-1.8-42/terra/inst/tinytest/test_matrix-input.R     |  102 
 terra-1.8-42/terra/inst/tinytest/test_merge.R            |   46 
 terra-1.8-42/terra/inst/tinytest/test_multivariate.R     |   24 
 terra-1.8-42/terra/inst/tinytest/test_patches.R          |   66 
 terra-1.8-42/terra/inst/tinytest/test_pitfinder.R        |  104 
 terra-1.8-42/terra/inst/tinytest/test_plot.R             |   10 
 terra-1.8-42/terra/inst/tinytest/test_raster-vector.R    |  124 
 terra-1.8-42/terra/inst/tinytest/test_rasterize.R        |   16 
 terra-1.8-42/terra/inst/tinytest/test_rds.R              |   18 
 terra-1.8-42/terra/inst/tinytest/test_replace.R          |   50 
 terra-1.8-42/terra/inst/tinytest/test_tags.R             |only
 terra-1.8-42/terra/inst/tinytest/test_time.R             |    8 
 terra-1.8-42/terra/inst/tinytest/test_vect-geom.R        |   28 
 terra-1.8-42/terra/inst/tinytest/test_vector-subset.R    |   34 
 terra-1.8-42/terra/inst/tinytest/test_weighted-mean.R    |   32 
 terra-1.8-42/terra/inst/tinytest/test_window.R           |   64 
 terra-1.8-42/terra/inst/tinytest/test_wkt_grd.R          |   34 
 terra-1.8-42/terra/inst/tinytest/test_zonal.R            |   48 
 terra-1.8-42/terra/inst/tinytest/tinytest.R              |    8 
 terra-1.8-42/terra/man/NAflag.Rd                         |   92 
 terra-1.8-42/terra/man/NIPD.Rd                           |  196 -
 terra-1.8-42/terra/man/RGB.Rd                            |  168 
 terra-1.8-42/terra/man/SpatExtent-class.Rd               |   70 
 terra-1.8-42/terra/man/SpatRaster-class.Rd               |   90 
 terra-1.8-42/terra/man/SpatVector-class.Rd               |   60 
 terra-1.8-42/terra/man/activeCat.Rd                      |  100 
 terra-1.8-42/terra/man/add.Rd                            |   86 
 terra-1.8-42/terra/man/add_mtext.Rd                      |   72 
 terra-1.8-42/terra/man/aggregate.Rd                      |  158 
 terra-1.8-42/terra/man/align.Rd                          |   92 
 terra-1.8-42/terra/man/all.equal.Rd                      |  114 
 terra-1.8-42/terra/man/animate.Rd                        |   88 
 terra-1.8-42/terra/man/app.Rd                            |  184 -
 terra-1.8-42/terra/man/approximate.Rd                    |  124 
 terra-1.8-42/terra/man/arith-generic.Rd                  |  156 
 terra-1.8-42/terra/man/as.character.Rd                   |   78 
 terra-1.8-42/terra/man/as.data.frame.Rd                  |   96 
 terra-1.8-42/terra/man/as.lines.Rd                       |  130 
 terra-1.8-42/terra/man/as.list.Rd                        |  102 
 terra-1.8-42/terra/man/as.points.Rd                      |  112 
 terra-1.8-42/terra/man/as.polygons.Rd                    |  114 
 terra-1.8-42/terra/man/as.raster.Rd                      |   76 
 terra-1.8-42/terra/man/atan2.Rd                          |   84 
 terra-1.8-42/terra/man/autocor.Rd                        |  156 
 terra-1.8-42/terra/man/barplot.Rd                        |   92 
 terra-1.8-42/terra/man/bestMatch.Rd                      |  132 
 terra-1.8-42/terra/man/boundaries.Rd                     |   88 
 terra-1.8-42/terra/man/box.Rd                            |   60 
 terra-1.8-42/terra/man/boxplot.Rd                        |  126 
 terra-1.8-42/terra/man/buffer.Rd                         |  134 
 terra-1.8-42/terra/man/c.Rd                              |  130 
 terra-1.8-42/terra/man/cartogram.Rd                      |   84 
 terra-1.8-42/terra/man/catalyze.Rd                       |  108 
 terra-1.8-42/terra/man/cellSize.Rd                       |  120 
 terra-1.8-42/terra/man/cells.Rd                          |  154 
 terra-1.8-42/terra/man/centroids.Rd                      |   66 
 terra-1.8-42/terra/man/clamp.Rd                          |   88 
 terra-1.8-42/terra/man/clamp_ts.Rd                       |   96 
 terra-1.8-42/terra/man/classify.Rd                       |  196 -
 terra-1.8-42/terra/man/click.Rd                          |  120 
 terra-1.8-42/terra/man/coerce.Rd                         |  136 
 terra-1.8-42/terra/man/collapse.Rd                       |   78 
 terra-1.8-42/terra/man/colors.Rd                         |  118 
 terra-1.8-42/terra/man/compare-generics.Rd               |  200 -
 terra-1.8-42/terra/man/compareGeom.Rd                    |  126 
 terra-1.8-42/terra/man/concats.Rd                        |  104 
 terra-1.8-42/terra/man/contour.Rd                        |  140 
 terra-1.8-42/terra/man/convhull.Rd                       |  118 
 terra-1.8-42/terra/man/costDist.Rd                       |  116 
 terra-1.8-42/terra/man/cover.Rd                          |  134 
 terra-1.8-42/terra/man/crds.Rd                           |  120 
 terra-1.8-42/terra/man/crop.Rd                           |  168 
 terra-1.8-42/terra/man/crosstab.Rd                       |  104 
 terra-1.8-42/terra/man/crs.Rd                            |  164 
 terra-1.8-42/terra/man/datatype.Rd                       |  160 
 terra-1.8-42/terra/man/deepcopy.Rd                       |   88 
 terra-1.8-42/terra/man/densify.Rd                        |  124 
 terra-1.8-42/terra/man/density.Rd                        |   70 
 terra-1.8-42/terra/man/deprecated.Rd                     |   44 
 terra-1.8-42/terra/man/depth.Rd                          |  101 
 terra-1.8-42/terra/man/describe.Rd                       |   86 
 terra-1.8-42/terra/man/diff.Rd                           |   70 
 terra-1.8-42/terra/man/dimensions.Rd                     |  302 -
 terra-1.8-42/terra/man/direction.Rd                      |   94 
 terra-1.8-42/terra/man/disaggregate.Rd                   |  106 
 terra-1.8-42/terra/man/distance.Rd                       |   10 
 terra-1.8-42/terra/man/divide.Rd                         |  118 
 terra-1.8-42/terra/man/dots.Rd                           |   94 
 terra-1.8-42/terra/man/draw.Rd                           |   76 
 terra-1.8-42/terra/man/erase.Rd                          |  156 
 terra-1.8-42/terra/man/expanse.Rd                        |  190 -
 terra-1.8-42/terra/man/ext.Rd                            |    4 
 terra-1.8-42/terra/man/extract.Rd                        |  259 -
 terra-1.8-42/terra/man/extractAlong.Rd                   |   88 
 terra-1.8-42/terra/man/extractRange.Rd                   |   92 
 terra-1.8-42/terra/man/factors.Rd                        |  247 -
 terra-1.8-42/terra/man/fill.Rd                           |   96 
 terra-1.8-42/terra/man/fillTime.Rd                       |   96 
 terra-1.8-42/terra/man/flip.Rd                           |  108 
 terra-1.8-42/terra/man/flowAccumulation.Rd               |  214 -
 terra-1.8-42/terra/man/focal.Rd                          |  232 -
 terra-1.8-42/terra/man/focal3D.Rd                        |  120 
 terra-1.8-42/terra/man/focalCpp.Rd                       |  202 -
 terra-1.8-42/terra/man/focalMat.Rd                       |   78 
 terra-1.8-42/terra/man/focalPairs.Rd                     |  128 
 terra-1.8-42/terra/man/focalReg.Rd                       |  100 
 terra-1.8-42/terra/man/focalValues.Rd                    |   76 
 terra-1.8-42/terra/man/forceCCW.Rd                       |   66 
 terra-1.8-42/terra/man/freq.Rd                           |  108 
 terra-1.8-42/terra/man/gaps.Rd                           |   84 
 terra-1.8-42/terra/man/gdal.Rd                           |  110 
 terra-1.8-42/terra/man/geometry.Rd                       |  132 
 terra-1.8-42/terra/man/geomtype.Rd                       |  108 
 terra-1.8-42/terra/man/global.Rd                         |  102 
 terra-1.8-42/terra/man/graticule.Rd                      |   90 
 terra-1.8-42/terra/man/grid.Rd                           |   68 
 terra-1.8-42/terra/man/gridDist.Rd                       |  120 
 terra-1.8-42/terra/man/halo.Rd                           |   82 
 terra-1.8-42/terra/man/headtail.Rd                       |   94 
 terra-1.8-42/terra/man/hist.Rd                           |  112 
 terra-1.8-42/terra/man/identical.Rd                      |   84 
 terra-1.8-42/terra/man/ifelse.Rd                         |  112 
 terra-1.8-42/terra/man/image.Rd                          |   78 
 terra-1.8-42/terra/man/impose.Rd                         |   76 
 terra-1.8-42/terra/man/init.Rd                           |   79 
 terra-1.8-42/terra/man/inplace.Rd                        |  226 -
 terra-1.8-42/terra/man/inset.Rd                          |  194 -
 terra-1.8-42/terra/man/interpIDW.Rd                      |  126 
 terra-1.8-42/terra/man/interpNear.Rd                     |  124 
 terra-1.8-42/terra/man/interpolate.Rd                    |  304 -
 terra-1.8-42/terra/man/intersect.Rd                      |  180 -
 terra-1.8-42/terra/man/is.bool.Rd                        |  168 
 terra-1.8-42/terra/man/is.empty.Rd                       |   80 
 terra-1.8-42/terra/man/is.flipped.Rd                     |   82 
 terra-1.8-42/terra/man/is.lonlat.Rd                      |  100 
 terra-1.8-42/terra/man/is.rotated.Rd                     |   84 
 terra-1.8-42/terra/man/is.valid.Rd                       |  112 
 terra-1.8-42/terra/man/k_means.Rd                        |   86 
 terra-1.8-42/terra/man/lapp.Rd                           |  202 -
 terra-1.8-42/terra/man/layerCor.Rd                       |  146 
 terra-1.8-42/terra/man/legend.Rd                         |   72 
 terra-1.8-42/terra/man/linearUnits.Rd                    |  102 
 terra-1.8-42/terra/man/lines.Rd                          |  172 
 terra-1.8-42/terra/man/makeTiles.Rd                      |  136 
 terra-1.8-42/terra/man/makeVRT.Rd                        |   94 
 terra-1.8-42/terra/man/map_extent.Rd                     |   66 
 terra-1.8-42/terra/man/mappal.Rd                         |  150 
 terra-1.8-42/terra/man/mask.Rd                           |  144 
 terra-1.8-42/terra/man/match.Rd                          |   98 
 terra-1.8-42/terra/man/math-generics.Rd                  |  206 -
 terra-1.8-42/terra/man/mem.Rd                            |   78 
 terra-1.8-42/terra/man/merge.Rd                          |  174 
 terra-1.8-42/terra/man/mergeTime.Rd                      |   98 
 terra-1.8-42/terra/man/meta.Rd                           |   58 
 terra-1.8-42/terra/man/metags.Rd                         |  136 
 terra-1.8-42/terra/man/minmax.Rd                         |   88 
 terra-1.8-42/terra/man/modal.Rd                          |   74 
 terra-1.8-42/terra/man/mosaic.Rd                         |  132 
 terra-1.8-42/terra/man/na.omit.Rd                        |   84 
 terra-1.8-42/terra/man/names.Rd                          |  148 
 terra-1.8-42/terra/man/nearby.Rd                         |   92 
 terra-1.8-42/terra/man/normalize.longitude.Rd            |   68 
 terra-1.8-42/terra/man/north.Rd                          |  134 
 terra-1.8-42/terra/man/nseg.Rd                           |   66 
 terra-1.8-42/terra/man/origin.Rd                         |   78 
 terra-1.8-42/terra/man/pairs.Rd                          |   94 
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New package InterpolateR with initial version 1.2-0
Package: InterpolateR
Title: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation
Version: 1.2-0
Maintainer: Jonnathan Landi <jonnathan.landi@outlook.com>
Description: Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.
License: GPL (>= 3)
Depends: R (>= 4.4.0)
Imports: terra, randomForest, data.table, pbapply, qmap, hydroGOF
URL: https://github.com/Jonnathan-Landi/InterpolateR
BugReports: https://github.com/Jonnathan-Landi/InterpolateR/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-01 01:08:55 UTC; Jonna
Author: Jonnathan Landi [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-04-02 09:10:02 UTC

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Package gdverse updated to version 1.3-3 with previous version 1.3-2 dated 2025-02-17

Title: Analysis of Spatial Stratified Heterogeneity
Description: Detecting spatial associations via spatial stratified heterogeneity, accounting for spatial dependencies, interpretability, complex interactions, and robust stratification. In addition, it supports the spatial stratified heterogeneity family described in Lv et al. (2025)<doi:10.1111/tgis.70032>.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Fangmei Liu [aut] , Jianwu Yan [aut] , Yongze Song [aut] , Wufan Zhao [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between gdverse versions 1.3-2 dated 2025-02-17 and 1.3-3 dated 2025-04-02

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New package weathR with initial version 0.1.0
Package: weathR
Title: Interact with the U.S. National Weather Service API
Version: 0.1.0
Description: Enables interaction with the National Weather Service application programming web-interface for fetching of real-time and forecast meteorological data. Users can provide latitude and longitude, Automated Surface Observing System identifier, or Automated Weather Observing System identifier to fetch recent weather observations and recent forecasts for the given location or station. Additionally, auxiliary functions exist to identify stations nearest to a point, convert wind direction from character to degrees, and fetch active warnings. Results are returned as simple feature objects whenever possible.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr2, janitor, jsonlite, lubridate, lutz, magrittr, purrr, sf, tibble
Suggests: gt, snakecase, tmap
URL: https://github.com/JeffreyFowler/weathR
BugReports: https://github.com/JeffreyFowler/weathR/issues
NeedsCompilation: no
Packaged: 2025-03-31 23:18:40 UTC; Jeffr
Author: Jeffrey Fowler [aut, cre, cph]
Maintainer: Jeffrey Fowler <JeffreyF6120@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-02 09:00:02 UTC

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Package UComp updated to version 5.1 with previous version 5.0.6 dated 2025-02-28

Title: Automatic Univariate Time Series Modelling of many Kinds
Description: Comprehensive analysis and forecasting of univariate time series using automatic time series models of many kinds. Harvey AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>. Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>. Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>. Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

Diff between UComp versions 5.0.6 dated 2025-02-28 and 5.1 dated 2025-04-02

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Package tican updated to version 1.0.2 with previous version 1.0.1 dated 2024-08-28

Title: Plot and Analyse Time-Intensity Data
Description: Plots and analyzes time-intensity curve data, such as data from (contrast-enhanced) ultrasound. Values such as peak intensity, time to peak and area under the curve are calculated.
Author: Samuel James Tingle [aut, cre]
Maintainer: Samuel James Tingle <samjamestingle@gmail.com>

Diff between tican versions 1.0.1 dated 2024-08-28 and 1.0.2 dated 2025-04-02

 DESCRIPTION        |    6 +++---
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New package mbg with initial version 1.0.0
Package: mbg
Title: Model-Based Geostatistics
Version: 1.0.0
Description: Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: assertthat, caret, data.table, glue, Matrix, matrixStats, purrr, R6, sf, terra, tictoc
Suggests: INLA, knitr, rmarkdown, ggplot2, scales
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://henryspatialanalysis.github.io/mbg/
BugReports: https://github.com/henryspatialanalysis/mbg/issues
NeedsCompilation: no
Packaged: 2025-03-31 22:44:30 UTC; nathenry
Author: Nathaniel Henry [aut, cre] , Benjamin Mayala [aut]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>
Repository: CRAN
Date/Publication: 2025-04-02 09:00:06 UTC

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New package ieTest with initial version 2.0
Package: ieTest
Title: Indirect Effects Testing Methods in Mediation Analysis
Version: 2.0
Date: 2025-03-31
Maintainer: John Kidd <jkidd@uvu.edu>
Description: Used in testing if the indirect effect from linear regression mediation analysis is equal to 0. Includes established methods such as the Sobel Test, Joint Significant test (maxP), and tests based off the distribution of the Product or Normal Random Variables. Additionally, this package adds more powerful tests based on Intersection-Union theory. These tests are the S-Test, the ps-test, and the ascending squares test. These new methods are uniformly more powerful than maxP, which is more powerful than Sobel and less anti-conservative than the Product of Normal Random Variables. These methods are explored by Kidd and Lin, (2024) <doi:10.1007/s12561-023-09386-6> and Kidd et al., (2025) <doi:10.1007/s10260-024-00777-7>.
License: GPL (>= 2)
Depends: R (>= 3.3.0), grDevices, graphics, methods, stats, utils
Imports: Rcpp (>= 1.0.3), RcppArmadillo, RcppDist, twosamples, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-03-31 21:48:21 UTC; 10975067
Author: John Kidd [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-02 09:00:11 UTC

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Permanent link

Package autoharp updated to version 0.0.12 with previous version 0.0.10 dated 2021-11-12

Title: Semi-Automatic Grading of R and Rmd Scripts
Description: A customisable set of tools for assessing and grading R or R-markdown scripts from students. It allows for checking correctness of code output, runtime statistics and static code analysis. The latter feature is made possible by representing R expressions using a tree structure.
Author: Vik Gopal [aut, cre], Samuel Seah [aut], Viknesh Jeya Kumar [aut], Gabriel Ang [aut], Ruofan Liu [ctb], National University of Singapore [cph]
Maintainer: Vik Gopal <vik.gopal@nus.edu.sg>

Diff between autoharp versions 0.0.10 dated 2021-11-12 and 0.0.12 dated 2025-04-02

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Package rhino updated to version 1.11.0 with previous version 1.10.1 dated 2024-09-20

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Rodrigo Basa [aut], Eduardo Almeida [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

Diff between rhino versions 1.10.1 dated 2024-09-20 and 1.11.0 dated 2025-04-02

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Package brulee (with last version 0.4.0) was removed from CRAN

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

2025-01-30 0.4.0
2024-02-14 0.3.0
2022-09-19 0.2.0
2022-02-02 0.1.0
2021-12-15 0.0.1

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Package stelfi (with last version 1.0.1) was removed from CRAN

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

2023-10-24 1.0.1
2023-09-28 1.0.0
2023-04-06 0.0.2
2022-11-03 0.0.1

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Package ropenmeteo (with last version 0.1.1) was removed from CRAN

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

2025-03-27 0.1.1
2024-09-02 0.1

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Package crplyr (with last version 0.4.2) was removed from CRAN

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

2025-03-18 0.4.2
2023-03-21 0.4.0
2022-05-01 0.3.9
2021-02-01 0.3.8
2021-01-12 0.3.7
2020-07-21 0.3.6
2020-07-20 0.3.5
2020-04-24 0.3.4
2020-01-14 0.3.3

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Package MortalityGaps updated to version 1.0.7 with previous version 1.0.0 dated 2018-07-20

Title: The Double-Gap Life Expectancy Forecasting Model
Description: Life expectancy is highly correlated over time among countries and between males and females. These associations can be used to improve forecasts. Here we have implemented a method for forecasting female life expectancy based on analysis of the gap between female life expectancy in a country compared with the record level of female life expectancy in the world. Second, to forecast male life expectancy, the gap between male life expectancy and female life expectancy in a country is analysed. We named this method the Double-Gap model. For a detailed description of the method see Pascariu et al. (2018). <doi:10.1016/j.insmatheco.2017.09.011>.
Author: Marius D. Pascariu [aut, cre]
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>

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Package spqdep updated to version 0.1.3.6 with previous version 0.1.3.5 dated 2025-01-08

Title: Testing for Spatial Independence of Cross-Sectional Qualitative Data
Description: Testing for Spatial Dependence of Qualitative Data in Cross Section. The list of functions includes join-count tests, Q test, spatial scan test, similarity test and spatial runs test. The methodology of these models can be found in <doi:10.1007/s10109-009-0100-1> and <doi:10.1080/13658816.2011.586327>.
Author: Fernando Lopez [aut, cre] , Roman Minguez [aut] , Antonio Paez [aut] , Manuel Ruiz [aut]
Maintainer: Fernando Lopez <fernando.lopez@upct.es>

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Package doRNG updated to version 1.8.6.2 with previous version 1.8.6.1 dated 2025-01-13

Title: Generic Reproducible Parallel Backend for 'foreach' Loops
Description: Provides functions to perform reproducible parallel foreach loops, using independent random streams as generated by L'Ecuyer's combined multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>]. It enables to easily convert standard '%dopar%' loops into fully reproducible loops, independently of the number of workers, the task scheduling strategy, or the chosen parallel environment and associated foreach backend.
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao@protonmail.com>

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Package rscopus updated to version 0.8.1 with previous version 0.6.6 dated 2019-09-17

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 quadprogXT updated to version 0.0.6 with previous version 0.0.5 dated 2020-01-15

Title: Quadratic Programming with Absolute Value Constraints
Description: Extends the quadprog package to solve quadratic programs with absolute value constraints and absolute values in the objective function.
Author: Bob Harlow [aut, cre], Brian Koch [ctb]
Maintainer: Bob Harlow <rharlow86@gmail.com>

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Package PerFit updated to version 1.4.7 with previous version 1.4.6 dated 2021-10-15

Title: Person Fit
Description: Several person-fit statistics (PFSs; Meijer and Sijtsma, 2001, <doi:10.1177/01466210122031957>) are offered. These statistics allow assessing whether individual response patterns to tests or questionnaires are (im)plausible given the other respondents in the sample or given a specified item response theory model. Some PFSs apply to dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs (personal biserial correlation, caution index, (normed) number of Guttman errors, agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include extensions of lz, U3, and (normed) number of Guttman errors.
Author: Jorge N. Tendeiro [aut, cre]
Maintainer: Jorge N. Tendeiro <tendeiro@hiroshima-u.ac.jp>

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