Fri, 18 Jul 2025

Package fastei updated to version 0.0.0.9 with previous version 0.0.0.7 dated 2025-05-20

Title: Methods for ''A Fast Alternative for the R x C Ecological Inference Case''
Description: Estimates the probability matrix for the R×C Ecological Inference problem using the Expectation-Maximization Algorithm with four approximation methods for the E-Step, and an exact method as well. It also provides a bootstrap function to estimate the standard deviation of the estimated probabilities. In addition, it has functions that aggregate rows optimally to have more reliable estimates in cases of having few data points. For comparing the probability estimates of two groups, a Wald test routine is implemented. The library has data from the first round of the Chilean Presidential Election 2021 and can also generate synthetic election data. Methods described in Thraves, Charles; Ubilla, Pablo; Hermosilla, Daniel (2024) ''A Fast Ecological Inference Algorithm for the R×C case'' <doi:10.2139/ssrn.4832834>.
Author: Charles Thraves [aut], Pablo Ubilla [aut], Daniel Hermosilla [aut, cre], Hanson Troy [ctb, cph]
Maintainer: Daniel Hermosilla <daniel.hermosilla.r@ug.uchile.cl>

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Package BGmisc updated to version 1.5.0 with previous version 1.4.3.1 dated 2025-06-10

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 bartXViz updated to version 1.0.6 with previous version 1.0.5 dated 2025-06-24

Title: Visualization of BART and BARP using SHAP
Description: Complex machine learning models are often difficult to interpret. Shapley values serve as a powerful tool to understand and explain why a model makes a particular prediction. This package computes variable contributions using permutation-based Shapley values for Bayesian Additive Regression Trees (BART) and its extension with Post-Stratification (BARP). The permutation-based SHAP method proposed by Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> is grounded in data obtained via MCMC sampling. Similar to the BART model introduced by Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>, this package leverages Bayesian posterior samples generated during model estimation, allowing variable contributions to be computed without requiring additional sampling. For XGBoost and baseline adjustments, the approach by Lundberg et al. (2020) <doi:10.1038/s42256-019-0138-9> is also considered.The BARP model proposed by Bisbee (2019) <doi:10.1017/S000305541 [...truncated...]
Author: Dong-eun Lee [aut, cre], Eun-Kyung Lee [aut]
Maintainer: Dong-eun Lee <ldongeun.leel@gmail.com>

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Package voluModel updated to version 0.2.3 with previous version 0.2.2 dated 2024-08-20

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre] , Emmaline Sheahan [aut] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package RSQLite updated to version 2.4.2 with previous version 2.4.1 dated 2025-06-08

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine (version 3.50.3) and for various extensions is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package bhetGP updated to version 1.0.1 with previous version 1.0 dated 2025-07-14

Title: Bayesian Heteroskedastic Gaussian Processes
Description: Performs Bayesian posterior inference for heteroskedastic Gaussian processes. Models are trained through MCMC including elliptical slice sampling (ESS) of latent noise processes and Metropolis-Hastings sampling of kernel hyperparameters. Replicates are handled efficientyly through a Woodbury formulation of the joint likelihood for the mean and noise process (Binois, M., Gramacy, R., Ludkovski, M. (2018) <doi:10.1080/10618600.2018.1458625>) For large data, Vecchia-approximation for faster computation is leveraged (Sauer, A., Cooper, A., and Gramacy, R., (2023), <doi:10.1080/10618600.2022.2129662>). Incorporates 'OpenMP' and SNOW parallelization and utilizes 'C'/'C++' under the hood.
Author: Parul V. Patil [aut, cre]
Maintainer: Parul V. Patil <parulvijay@vt.edu>

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Package stoppingrule updated to version 0.6 with previous version 0.5.2 dated 2025-02-06

Title: Create and Evaluate Stopping Rules for Safety Monitoring
Description: Provides functions for creating, displaying, and evaluating stopping rules for safety monitoring in clinical studies.
Author: Michael J. Martens [aut, cre], Qinghua Lian [aut], Brent R. Logan [ctb]
Maintainer: Michael J. Martens <mmartens@mcw.edu>

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Package rdhte updated to version 0.1.0 with previous version 0.0.2 dated 2025-04-03

Title: Heterogeneous Treatment Effects in Regression Discontinuity Designs
Description: Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); 'rdbwhte', which implements automatic bandwidth selection methods; and 'rdhte_lincom' to test linear combinations of parameters.
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>

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Package AccSamplingDesign updated to version 0.0.6 with previous version 0.0.5 dated 2025-07-11

Title: Acceptance Sampling Plans Design
Description: Provides tools for designing and analyzing Acceptance Sampling plans. Supports both Attributes Sampling (Binomial and Poisson distributions) and Variables Sampling (Normal and Beta distributions), enabling quality control for fractional and compositional data. Uses nonlinear programming for sampling plan optimization, minimizing sample size while controlling producer's and consumer's risks. Operating Characteristic curves are available for plan visualization.
Author: Ha Truong [aut, cre, cph], Victor Miranda [ths, rev], Roger Kissling [ths, rev]
Maintainer: Ha Truong <truongvietha87@gmail.com>

Diff between AccSamplingDesign versions 0.0.5 dated 2025-07-11 and 0.0.6 dated 2025-07-18

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Package modEvA updated to version 3.39 with previous version 3.34 dated 2025-04-29

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Jose Carlos [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package statnetWeb updated to version 0.6.1 with previous version 0.5.8 dated 2024-07-17

Title: A Shiny App for Network Modeling with 'statnet'
Description: A graphical user interface for cross-sectional network modeling with the 'statnet' software suite <https://github.com/statnet>.
Author: Martina Morris [cre, aut], Emily Beylerian [aut], Kirk Li [ctb], Samuel Jenness [ctb], Michal Bojanowski [ctb]
Maintainer: Martina Morris <morrism@uw.edu>

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Package iotarelr updated to version 0.1.6 with previous version 0.1.5 dated 2024-01-25

Title: Iota Inter Coder Reliability for Content Analysis
Description: Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022) <doi:10.30819/5581>.
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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Package GeoModels updated to version 2.1.7 with previous version 2.1.6 dated 2025-06-25

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 torchvision updated to version 0.7.0 with previous version 0.6.0 dated 2024-06-14

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
Author: Daniel Falbel [aut, cre], Christophe Regouby [ctb], Akanksha Koshti [ctb], Derrick Richard [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@posit.co>

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Package densityratio updated to version 0.2.2 with previous version 0.2.1 dated 2025-06-18

Title: Distribution Comparison Through Density Ratio Estimation
Description: Fast, flexible and user-friendly tools for distribution comparison through direct density ratio estimation. The estimated density ratio can be used for covariate shift adjustment, outlier-detection, change-point detection, classification and evaluation of synthetic data quality. The package implements multiple non-parametric estimation techniques (unconstrained least-squares importance fitting, ulsif(), Kullback-Leibler importance estimation procedure, kliep(), spectral density ratio estimation, spectral(), kernel mean matching, kmm(), and least-squares hetero-distributional subspace search, lhss()). with automatic tuning of hyperparameters. Helper functions are available for two-sample testing and visualizing the density ratios. For an overview on density ratio estimation, see Sugiyama et al. (2012) <doi:10.1017/CBO9781139035613> for a general overview, and the help files for references on the specific estimation techniques.
Author: Thom Volker [aut, cre] , Carlos Gonzalez Poses [ctb], Erik-Jan van Kesteren [ctb]
Maintainer: Thom Volker <thombenjaminvolker@gmail.com>

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Package Cyclops updated to version 3.6.0 with previous version 3.5.2 dated 2025-06-24

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.5.2 dated 2025-06-24 and 3.6.0 dated 2025-07-18

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 NEWS.md                                   |   14 ++
 R/ModelFit.R                              |  161 +++++++++++++++++++++++++-----
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 36 files changed, 627 insertions(+), 116 deletions(-)

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Package spareg updated to version 1.1.0 with previous version 1.0.0 dated 2025-05-06

Title: Sparse Projected Averaged Regression
Description: A flexible framework combining variable screening and random projection techniques for fitting ensembles of predictive generalized linear models to high-dimensional data. Designed for extensibility, the package implements key techniques as S3 classes with user-friendly constructors, enabling easy integration and development of new procedures for high-dimensional applications. For more details see Parzer et al (2024a) <doi:10.48550/arXiv.2312.00130> and Parzer et al (2024b) <doi:10.48550/arXiv.2410.00971>.
Author: Laura Vana-Guer [aut, cre] , Roman Parzer [aut] , Peter Filzmoser [aut]
Maintainer: Laura Vana-Guer <laura.vana.guer@tuwien.ac.at>

Diff between spareg versions 1.0.0 dated 2025-05-06 and 1.1.0 dated 2025-07-18

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 NAMESPACE                      |   10 
 NEWS.md                        |   23 +
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 R/simulate.R                   |    7 
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 tests/testthat/test-spareg.R   |  126 +++++--
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 33 files changed, 2306 insertions(+), 1097 deletions(-)

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New package rim with initial version 0.8.1
Package: rim
Title: Interface to 'Maxima', Enabling Symbolic Computation
Version: 0.8.1
Date: 2025-07-18
Description: An interface to the powerful and fairly complete computer algebra system 'Maxima'. It can be used to start and control 'Maxima' from within R by entering 'Maxima' commands. Results from 'Maxima' can be parsed and evaluated in R. It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 2D and 3D plots can be displayed directly. This package also registers a 'knitr'-engine enabling 'Maxima' code chunks to be written in 'RMarkdown' documents.
URL: https://rcst.github.io/rim/
BugReports: https://github.com/rcst/rim/issues
SystemRequirements: Maxima (https://sourceforge.net/projects/maxima/, tested with versions 5.42.0 - 5.46.0), needs to be on PATH
License: GPL (>= 3)
Imports: methods, Rcpp, R6, knitr, GlobalOptions
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-18 13:24:50 UTC; eric
Author: Eric Stemmler [aut, cre], Kseniia Shumelchyk [aut], Hans W. Borchers [aut]
Maintainer: Eric Stemmler <stemmler.eric@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-18 15:20:08 UTC

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Package rcheology updated to version 4.5.1.0 with previous version 4.5.0.0 dated 2025-04-12

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between rcheology versions 4.5.0.0 dated 2025-04-12 and 4.5.1.0 dated 2025-07-18

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 8 files changed, 43 insertions(+), 43 deletions(-)

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New package qryflow with initial version 0.1.0
Package: qryflow
Title: Execute Multi-Step 'SQL' Workflows
Version: 0.1.0
Description: Execute multi-step 'SQL' workflows by leveraging specially formatted comments to define and control execution. This enables users to mix queries, commands, and metadata within a single script. Results are returned as named objects for use in downstream workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI
Suggests: knitr, rmarkdown, RSQLite, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://christian-million.github.io/qryflow/, https://github.com/christian-million/qryflow
BugReports: https://github.com/christian-million/qryflow/issues
NeedsCompilation: no
Packaged: 2025-07-15 19:02:39 UTC; chris
Author: Christian Million [aut, cre, cph]
Maintainer: Christian Million <christianmillion93@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-18 15:20:18 UTC

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New package omixVizR with initial version 1.0.5
Package: omixVizR
Title: A Toolkit for Omics Data Visualization
Version: 1.0.5
Description: Provides a suite of tools for the comprehensive visualization of multi-omics data, including genomics, transcriptomics, and proteomics. Offers user-friendly functions to generate publication-quality plots, thereby facilitating the exploration and interpretation of complex biological datasets. Supports seamless integration with popular R visualization frameworks and is well-suited for both exploratory data analysis and the presentation of final results. Key formats and methods are presented in Huang, S., et al. (2024) "The Born in Guangzhou Cohort Study enables generational genetic discoveries" <doi:10.1038/s41586-023-06988-4>.
License: MIT + file LICENSE
URL: https://leslie-lu.github.io/
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), spelling
Imports: data.table, ggbreak, ggplot2, ggrepel, ggtext, grid, magrittr, purrr, scales, showtext, sysfonts
NeedsCompilation: no
Packaged: 2025-07-15 15:35:15 UTC; luzh2
Author: Zhen Lu [aut, cre]
Maintainer: Zhen Lu <luzh29@mail2.sysu.edu.cn>
Repository: CRAN
Date/Publication: 2025-07-18 15:10:02 UTC

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New package mcptools with initial version 0.1.0
Package: mcptools
Title: Model Context Protocol Servers and Clients
Version: 0.1.0
Description: Implements the Model Context Protocol (MCP). Users can start 'R'-based servers, serving functions as tools for large language models to call before responding to the user in MCP-compatible apps like 'Claude Desktop' and 'Claude Code', with options to run those tools inside of interactive 'R' sessions. On the other end, when 'R' is the client via the 'ellmer' package, users can register tools from third-party MCP servers to integrate additional context into chats.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Encoding: UTF-8
Imports: cli, ellmer (>= 0.2.0), jsonlite, nanonext (>= 1.6.0), processx, promises, rlang
Depends: R (>= 4.1.0)
URL: https://github.com/posit-dev/mcptools, https://posit-dev.github.io/mcptools/
BugReports: https://github.com/posit-dev/mcptools/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-15 15:57:46 UTC; simoncouch
Author: Simon Couch [aut, cre] , Winston Chang [aut], Charlie Gao [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2025-07-18 15:10:07 UTC

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Package IJSE updated to version 0.1.2 with previous version 0.1.1 dated 2024-09-26

Title: Infinitesimal Jackknife Standard Errors for 'brms' Models
Description: Provides a function to calculate infinite-jackknife-based standard errors for fixed effects parameters in 'brms' models, handling both clustered and independent data. References: Ji et al. (2024) <doi:10.48550/arXiv.2407.09772>; Giordano et al. (2024) <doi:10.48550/arXiv.2305.06466>.
Author: Feng Ji [aut, cre] , JoonHo Lee [aut], Sophia Rabe-Hesketh [aut]
Maintainer: Feng Ji <f.ji@utoronto.ca>

Diff between IJSE versions 0.1.1 dated 2024-09-26 and 0.1.2 dated 2025-07-18

 DESCRIPTION |   10 +++++-----
 MD5         |    4 ++--
 NEWS.md     |    5 +++++
 3 files changed, 12 insertions(+), 7 deletions(-)

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New package filtro with initial version 0.1.0
Package: filtro
Title: Feature Selection Using Supervised Filter-Based Methods
Version: 0.1.0
Description: Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) <doi:10.1201/9781315108230>).
License: MIT + file LICENSE
URL: https://github.com/tidymodels/filtro
BugReports: https://github.com/tidymodels/filtro/issues
Depends: R (>= 4.1)
Imports: purrr, rlang (>= 1.1.0), stats, tibble
Suggests: aorsf, dplyr, FSelectorRcpp, modeldata, partykit, ranger, testthat (>= 3.0.0), titanic
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-15 16:22:14 UTC; franceslin
Author: Frances Lin [aut, cre], Max Kuhn [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Frances Lin <franceslinyc@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-18 15:20:24 UTC

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New package dagHMM with initial version 0.1.1
Package: dagHMM
Title: Directed Acyclic Graph HMM with TAN Structured Emissions
Version: 0.1.1
Maintainer: Prajwal Bende <prajwal.bende@gmail.com>
Description: Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence. They provide a conceptual toolkit for building complex models just by drawing an intuitive picture. They are at the heart of a diverse range of programs, including genefinding, profile searches, multiple sequence alignment and regulatory site identification. HMMs are the Legos of computational sequence analysis. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. Tree represents the nodes connected by edges. It is a non-linear data structure. A poly-tree is simply a directed acyclic graph whose underlying undirected graph is a tree. The model proposed in this package is the same as an HMM but where the states are linked via a polytree structure rather than a simple path.
License: GPL (>= 2.0.0)
Encoding: UTF-8
Imports: gtools, future, matrixStats, PRROC, bnlearn, bnclassify
NeedsCompilation: no
Packaged: 2025-07-15 16:01:46 UTC; prajw
Author: Prajwal Bende [aut, cre], Russ Greiner [ths], Pouria Ramazi [ths]
Repository: CRAN
Date/Publication: 2025-07-18 15:20:29 UTC

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New package spectrakit with initial version 0.1.1
Package: spectrakit
Title: Spectral Data Handling and Visualization
Version: 0.1.1
Description: Provides functions to combine, normalize and visualize spectral data, and for assembling customizable image grids suitable for publication-quality scientific figures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, readr, ggplot2, tibble, purrr, rlang, magick, glue, data.table
NeedsCompilation: no
Packaged: 2025-07-15 13:52:32 UTC; B041254
Author: Gianluca Pastorelli [aut, cre]
Maintainer: Gianluca Pastorelli <gianluca.pastorelli@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-18 15:00:02 UTC

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Package Rmpfr updated to version 1.1-1 with previous version 1.1-0 dated 2025-05-13

Title: Interface R to MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] , Richard M. Heiberger [ctb] , *Bin, *Dec), John C. Nash [ctb] , origin of unirootR), Hans W. Borchers [ctb] ; origin of hjkMpfr), Mikael Jagan [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 1.1-0 dated 2025-05-13 and 1.1-1 dated 2025-07-18

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 11 files changed, 44 insertions(+), 23 deletions(-)

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New package hbsaems with initial version 0.1.1
Package: hbsaems
Encoding: UTF-8
Title: Hierarchical Bayes Small Area Estimation Model using 'Stan'
Version: 0.1.1
Maintainer: Achmad Syahrul Choir <madsyair@stis.ac.id>
Description: Implementing Hierarchical Bayesian Small Area Estimation models using the 'brms' package as the computational backend. The modeling framework follows the methodological foundations described in area-level models. This package is designed to facilitate a principled Bayesian workflow, enabling users to conduct prior predictive checks, model fitting, posterior predictive checks, model comparison, and sensitivity analysis in a coherent and reproducible manner. It supports flexible model specifications via 'brms' and promotes transparency in model development, aligned with the recommendations of modern Bayesian data analysis practices, implementing methods described in Rao and Molina (2015) <doi:10.1002/9781118735855>.
Depends: R (>= 3.6.0), brms
Imports: bayesplot, bridgesampling, coda, DT, energy, ggplot2, grDevices, mice, minerva, priorsense, posterior, readxl, shiny, shinyWidgets, shinydashboard, stats, tools, XICOR
Suggests: spelling, kableExtra, knitr, rmarkdown, Matrix, mockery, testthat (>= 3.0.0)
License: GPL (>= 3)
URL: https://github.com/madsyair/hbsaems
BugReports: https://github.com/madsyair/hbsaems/issues
Packaged: 2025-07-15 09:09:22 UTC; madsyair
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: no
Author: Achmad Syahrul Choir [aut, cre] , Saniyyah Sri Nurhayati [aut], Sofi Zamzanah [aut], Arsyka Laila Oktalia Siregar [aut]
Repository: CRAN
Date/Publication: 2025-07-18 14:40:02 UTC

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New package functionals with initial version 0.5.0
Package: functionals
Title: Functional Programming with Parallelism and Progress Tracking
Version: 0.5.0
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Description: Provides functional tools such as fmap(), fwalk(), and fapply() to iterate over vectors, data frames, or grouped data with optional parallelism and real-time progress tracking. Designed for readable and reproducible workflows, including support for Monte Carlo simulations and benchmarking.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel
Suggests: testthat (>= 3.0.0), bench, rsample
BugReports: https://github.com/ielbadisy/functionals/issues
NeedsCompilation: no
Packaged: 2025-07-15 12:26:32 UTC; imad-el-badisy
Author: Imad EL BADISY [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-18 15:00:08 UTC

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New package easyScieloPack with initial version 0.1.0
Package: easyScieloPack
Title: Easy Interface to Search 'SciELO' Database
Version: 0.1.0
Description: Provides a simple interface to search and retrieve scientific articles from the 'SciELO' (Scientific Electronic Library Online) database <https://scielo.org>. It allows querying, filtering, and visualizing results in an interactive table.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr (>= 1.4.6), xml2 (>= 1.3.6), rvest (>= 1.0.3), dplyr (>= 1.1.4), magrittr (>= 2.0.3), stats, stringr (>= 1.5.1)
URL: https://github.com/PabloIxcamparij/easyScieloPack
BugReports: https://github.com/PabloIxcamparij/easyScieloPack/issues
NeedsCompilation: no
Packaged: 2025-07-15 06:31:56 UTC; emmas
Author: Pablo Ixcamparij [aut, cre]
Maintainer: Pablo Ixcamparij <jose.sorto@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2025-07-18 14:40:08 UTC

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New package cmgnd with initial version 0.1.1
Package: cmgnd
Title: Constrained Mixture of Generalized Normal Distributions
Version: 0.1.1
Description: The 'cmgnd' implements the constrained mixture of generalized normal distributions model, a flexible statistical framework for modelling univariate data exhibiting non-normal features such as skewness, multi-modality, and heavy tails. By imposing constraints on model parameters, the 'cmgnd' reduces estimation complexity while maintaining high descriptive power, offering an efficient solution in the presence of distributional irregularities. For more details see Duttilo and Gattone (2025) <doi:10.1007/s00180-025-01638-x> and Duttilo et al (2025) <doi:10.48550/arXiv.2506.03285>.
Depends: R (>= 4.0.0)
Imports: RcppAlgos, lubridate, stats, utils, gnorm, purrr, ggplot2
Encoding: UTF-8
License: GPL (>= 3)
URL: https://github.com/pierdutt/cmgnd
BugReports: https://github.com/pierdutt/cmgnd/issues
NeedsCompilation: no
Packaged: 2025-07-15 09:57:33 UTC; User
Author: Pierdomenico Duttilo [aut, cre] , Stefano Antonio Gattone [aut] , Alfred Kume [aut]
Maintainer: Pierdomenico Duttilo <pierdomenico.duttilo@unipd.it>
Repository: CRAN
Date/Publication: 2025-07-18 14:50:02 UTC

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New package chopin with initial version 0.9.4
Package: chopin
Title: Spatial Parallel Computing by Hierarchical Data Partitioning
Version: 0.9.4
Description: Geospatial data computation is parallelized by grid, hierarchy, or raster files. Based on 'future' (Bengtsson, 2024 <doi:10.32614/CRAN.package.future>) and 'mirai' (Gao et al., 2025 <doi:10.32614/CRAN.package.mirai>) parallel back-ends, 'terra' (Hijmans et al., 2025 <doi:10.32614/CRAN.package.terra>) and 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) functions as well as convenience functions in the package can be distributed over multiple threads. The simplest way of parallelizing generic geospatial computation is to start from par_pad_*() functions to par_grid(), par_hierarchy(), or par_multirasters() functions. Virtually any functions accepting classes in 'terra' or 'sf' packages can be used in the three parallelization functions. A common raster-vector overlay operation is provided as a function extract_at(), which uses 'exactextractr' (Baston, 2023 <doi:10.32614/CRAN.package.exactextractr>), with options for kernel weights for summarizing [...truncated...]
License: MIT + file LICENSE
URL: https://docs.ropensci.org/chopin/, https://github.com/ropensci/chopin
BugReports: https://github.com/ropensci/chopin/issues
Depends: R (>= 4.1)
SystemRequirements: netcdf
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: anticlust, cli, dplyr (>= 1.1.0), exactextractr (>= 0.8.2), future, future.apply, igraph, methods, rlang, sf (>= 1.0-10), stars (>= 0.6-0), terra (>= 1.7-18), mirai (>= 1.3.0), collapse
Suggests: covr, devtools, targets, DiagrammeR, future.mirai, knitr, lifecycle, rmarkdown, spatstat.random, testthat (>= 3.0.0), units, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-15 05:07:03 UTC; isong
Author: Insang Song [aut, cre] , Kyle Messier [aut, ctb] , Alec L. Robitaille [rev] , Eric R. Scott [rev]
Maintainer: Insang Song <geoissong@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-18 14:40:12 UTC

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New package cancerradarr with initial version 1.3.1
Package: cancerradarr
Title: Cancer RADAR Project Tool
Version: 1.3.1
Description: Cancer RADAR is a project which aim is to develop an infrastructure that allows quantifying the risk of cancer by migration background across Europe. This package contains a set of functions cancer registries partners should use to reshape 5 year-age group cancer incidence data into a set of summary statistics (see Boyle & Parkin (1991, ISBN:978-92-832-1195-2)) in lines with Cancer RADAR data protections rules.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr (>= 1.1.0), epitools, magrittr, openxlsx (>= 4.2.7), purrr, rmarkdown, rlang, stats, stringr, tidyr, utils, plyr
Depends: R (>= 4.1.0)
Suggests: plotly, shiny, quarto, tidyverse, DT, gtools, testthat (>= 3.0.0), knitr
LazyData: true
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2025-07-15 09:04:36 UTC; georgesd
Author: Nienke Alberts [aut], Damien Georges [aut, cre] , Stefano Rosso [aut], Iacopo Baussano [aut]
Maintainer: Damien Georges <georgesd@iarc.who.int>
Repository: CRAN
Date/Publication: 2025-07-18 14:40:20 UTC

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

Title: Generate Analysis Results Programmes Using ARS Metadata
Description: Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical Data Interchange Standards Consortium), provides a logical data model for metadata describing all components to calculate Analysis Results. <https://www.cdisc.org/standards/foundational/analysis-results-standard> Using 'siera' package, ARS metadata is ingested (JSON or Excel format), producing programmes to generate Analysis Results Datasets (ARDs).
Author: Malan Bosman [aut, cre], Clymb Clinical [cph, fnd]
Maintainer: Malan Bosman <malanbos@gmail.com>

Diff between siera versions 0.3.0 dated 2025-03-03 and 0.4.0 dated 2025-07-18

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Package gofigR updated to version 1.1.0 with previous version 0.3.1 dated 2025-03-19

Title: Client for 'GoFigr.io'
Description: Integrates with your 'RMarkdown' documents to automatically publish figures to the <https://GoFigr.io> service. Supports both 'knitr' and interactive execution within 'RStudio'.
Author: Maciej Pacula [cre, aut], Flagstaff Solutions, LLC [cph]
Maintainer: Maciej Pacula <maciej@gofigr.io>

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Package decorrelate updated to version 0.1.6.4 with previous version 0.1.6.3 dated 2025-07-17

Title: Decorrelation Projection Scalable to High Dimensional Data
Description: Data whitening is a widely used preprocessing step to remove correlation structure since statistical models often assume independence. Here we use a probabilistic model of the observed data to apply a whitening transformation. This Gaussian Inverse Wishart Empirical Bayes model substantially reduces computational complexity, and regularizes the eigen-values of the sample covariance matrix to improve out-of-sample performance.
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>

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Package maestro updated to version 0.6.1 with previous version 0.6.0 dated 2025-05-13

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package mlr3spatial updated to version 0.6.0 with previous version 0.5.0 dated 2024-03-09

Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package manydist updated to version 0.4.8 with previous version 0.4.7 dated 2025-07-08

Title: Unbiased Distances for Mixed-Type Data
Description: A comprehensive framework for calculating unbiased distances in datasets containing mixed-type variables (numerical and categorical). The package implements a general formulation that ensures multivariate additivity and commensurability, meaning that variables contribute equally to the overall distance regardless of their type, scale, or distribution. Supports multiple distance measures including Gower's distance, Euclidean distance, Manhattan distance, and various categorical variable distances such as simple matching, Eskin, occurrence frequency, and association-based distances. Provides tools for variable scaling (standard deviation, range, robust range, and principal component scaling), and handles both independent and association-based category dissimilarities. Implements methods to correct for biases that typically arise from different variable types, distributions, and number of categories. Particularly useful for cluster analysis, data visualization, and other distance-based me [...truncated...]
Author: Alfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [aut], Carlo Cavicchia [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

Diff between manydist versions 0.4.7 dated 2025-07-08 and 0.4.8 dated 2025-07-18

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Package shinyMixR updated to version 0.5.1 with previous version 0.5.0 dated 2024-11-14

Title: Interactive 'shiny' Dashboard for 'nlmixr2'
Description: An R shiny user interface for the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) package, designed to simplify the modeling process for users. Additionally, this package includes supplementary functions to further enhances the usage of 'nlmixr2'.
Author: Richard Hooijmaijers [aut, cre, cph], Teun Post [aut, cph], LAPP Consultants [fnd, cph], Matthew Fidler [ctb], Veerle van Leemput [ctb]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>

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Package parcr updated to version 0.5.3 with previous version 0.5.2 dated 2024-06-07

Title: Construct Parsers for Structured Text Files
Description: Construct parser combinator functions, higher order functions that parse input. Construction of such parsers is transparent and easy. Their main application is the parsing of structured text files like those generated by laboratory instruments. Based on a paper by Hutton (1992) <doi:10.1017/S0956796800000411>.
Author: Douwe Molenaar [aut, cre, cph]
Maintainer: Douwe Molenaar <d.molenaar@vu.nl>

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Package gsaot updated to version 1.1.0 with previous version 1.0.0 dated 2025-06-17

Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>

Diff between gsaot versions 1.0.0 dated 2025-06-17 and 1.1.0 dated 2025-07-18

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Package dendroTools updated to version 1.2.15 with previous version 1.2.14 dated 2025-06-03

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

Diff between dendroTools versions 1.2.14 dated 2025-06-03 and 1.2.15 dated 2025-07-18

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Package SerolyzeR updated to version 1.3.0 with previous version 1.2.0 dated 2025-05-06

Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>

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Package mlr3db updated to version 0.6.0 with previous version 0.5.2 dated 2023-11-04

Title: Data Base Backend for 'mlr3'
Description: Extends the 'mlr3' package with a backend to transparently work with databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'. The package provides three additional backends: 'DataBackendDplyr' relies on the abstraction of package 'dbplyr' to interact with most DBMS. 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache Parquet files. 'DataBackendPolars' operates on 'Polars' data frames.
Author: Michel Lang [aut] , Lona Koers [aut], Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package heatindex updated to version 0.0.2 with previous version 0.0.1 dated 2025-04-15

Title: Calculating Heat Stress
Description: Implements the simpler and faster heat index, which matches the values of the original 1979 heat index and its 2022 extension for air temperatures above 300 K (27 C, 80 F) and with only minor differences at lower temperatures. Also implements an algorithm for calculating the thermodynamic (and psychrometric) wet-bulb (and ice-bulb) temperature.
Author: Yi-Chuan Lu [aut] , David M. Romps [aut, cre]
Maintainer: David M. Romps <romps@berkeley.edu>

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Package GGally updated to version 2.3.0 with previous version 2.2.1 dated 2024-02-13

Title: Extension to 'ggplot2'
Description: The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.
Author: Barret Schloerke [aut, cre] , Di Cook [aut, ths] , Joseph Larmarange [aut] , Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths] , Hadley Wickham [ths]
Maintainer: Barret Schloerke <schloerke@gmail.com>

Diff between GGally versions 2.2.1 dated 2024-02-13 and 2.3.0 dated 2025-07-18

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More information about GGally at CRAN
Permanent link

New package bsamGP with initial version 1.2.7
Package: bsamGP
Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Version: 1.2.7
Date: 2025-07-17
Author: Seongil Jo [aut], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjop@gmail.com>
Imports: MASS, ggplot2, gridExtra
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).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-07-18 06:12:45 UTC; beomjo
Repository: CRAN
Date/Publication: 2025-07-18 08:40:12 UTC

More information about bsamGP at CRAN
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Package stevedata updated to version 1.6.0 with previous version 1.5.0 dated 2025-01-24

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

Diff between stevedata versions 1.5.0 dated 2025-01-24 and 1.6.0 dated 2025-07-18

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Package rjwsacruncher updated to version 0.2.2 with previous version 0.2.1 dated 2025-02-07

Title: Interface to the 'JWSACruncher' of 'JDemetra+'
Description: 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks. Seasonal adjustment models performed with 'JDemetra+' can be stored into workspaces. 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases> for v2 and <https://github.com/jdemetra/jdplus-main/releases> for v3) is a console tool that re-estimates all the multi-processing defined in a workspace and to export the result. 'rjwsacruncher' allows to launch easily the 'JWSACruncher'.
Author: Alain Quartier-la-Tente [aut, cre] , Institut national de la statistique et des etudes economiques [cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between rjwsacruncher versions 0.2.1 dated 2025-02-07 and 0.2.2 dated 2025-07-18

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More information about rjwsacruncher at CRAN
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Package gadget2 (with last version 2.3.11) was removed from CRAN

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

2023-06-22 2.3.11

Permanent link
Package bsamGP (with last version 1.2.6) was removed from CRAN

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

2025-04-02 1.2.6
2024-03-18 1.2.5
2022-03-17 1.2.4
2020-03-21 1.2.3
2019-07-29 1.2.2
2018-06-15 1.2.1
2018-06-10 1.2.0
2018-01-03 1.1.2
2017-11-26 1.1.1
2017-10-22 1.1.0
2017-08-06 1.0.1
2017-08-05 1.0

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Package tinysnapshot updated to version 0.2.0 with previous version 0.1.0 dated 2025-03-16

Title: Snapshots for Unit Tests using the 'tinytest' Framework
Description: Snapshots for unit tests using the 'tinytest' framework for R. Includes expectations to test base R and 'ggplot2' plots as well as console output from print().
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between tinysnapshot versions 0.1.0 dated 2025-03-16 and 0.2.0 dated 2025-07-18

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Package lotri updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-18

Title: A Simple Way to Specify Symmetric, Block Diagonal Matrices
Description: Provides a simple mechanism to specify a symmetric block diagonal matrices (often used for covariance matrices). This is based on the domain specific language implemented in 'nlmixr2' but expanded to create matrices in R generally instead of specifying parts of matrices to estimate. It has expanded to include some matrix manipulation functions that are generally useful for 'rxode2' and 'nlmixr2'.
Author: Matthew L. Fidler [aut, cre] , Bill Denney [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between lotri versions 1.0.0 dated 2024-09-18 and 1.0.1 dated 2025-07-18

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 18 files changed, 465 insertions(+), 141 deletions(-)

More information about lotri at CRAN
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