Mon, 14 Jul 2025

Package neotoma2 updated to version 1.0.7 with previous version 1.0.6 dated 2025-06-25

Title: Working with the Neotoma Paleoecology Database
Description: Access and manipulation of data using the Neotoma Paleoecology Database. <https://api.neotomadb.org/api-docs/>.
Author: Dominguez Vidana Socorro [aut, cre] , Simon Goring [aut]
Maintainer: Dominguez Vidana Socorro <s.dominguez@ht-data.com>

Diff between neotoma2 versions 1.0.6 dated 2025-06-25 and 1.0.7 dated 2025-07-14

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Package spStack updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-11

Title: Bayesian Geostatistics Using Predictive Stacking
Description: Fits Bayesian hierarchical spatial and spatial-temporal process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2025) <doi:10.48550/arXiv.2304.12414>, and, Pan, Zhang, Bradley, and Banerjee (2025) <doi:10.48550/arXiv.2406.04655> for details.
Author: Soumyakanti Pan [aut, cre] , Sudipto Banerjee [aut]
Maintainer: Soumyakanti Pan <span18@ucla.edu>

Diff between spStack versions 1.1.0 dated 2025-07-11 and 1.1.1 dated 2025-07-14

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Package RcppPlanc updated to version 2.0.13 with previous version 2.0.12 dated 2025-05-29

Title: Parallel Low-Rank Approximation with Nonnegativity Constraints
Description: 'Rcpp' bindings for 'PLANC', a highly parallel and extensible NMF/NTF (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.
Author: Andrew Robbins [aut, cre] , Yichen Wang [aut], Joshua Welch [cph] , Ramakrishnan Kannan [cph] , Conrad Sanderson [cph] , Blue Brain Project/EPFL [cph] , UT-Batelle [cph]
Maintainer: Andrew Robbins <robbiand@umich.edu>

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Package metacore updated to version 0.2.0 with previous version 0.1.3 dated 2024-05-02

Title: A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows
Description: Create an immutable container holding metadata for the purpose of better enabling programming activities and functionality of other packages within the clinical programming workflow.
Author: Liam Hobby [aut, cre], Christina Fillmore [aut] , Bill Denney [aut], Maya Gans [aut] , Ashley Tarasiewicz [aut], Mike Stackhouse [aut] , Tamara Senior [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Liam Hobby <liam.f.hobby@gsk.com>

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Package aLBI updated to version 0.1.8 with previous version 0.1.7 dated 2024-11-21

Title: Estimating Length-Based Indicators for Fish Stock
Description: Provides tools for estimating length-based indicators from length frequency data to assess fish stock status and manage fisheries sustainably. Implements methods from Cope and Punt (2009) <doi:10.1577/C08-025.1> for data-limited stock assessment and Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x> for detecting overfishing using simple indicators. Key functions include: FrequencyTable(): Calculate the frequency table from the collected and also the extract the length frequency data from the frequency table with the upper length_range. A numeric value specifying the bin width for class intervals. If not provided, the bin width is automatically calculated using Sturges (1926) <doi:10.1080/01621459.1926.10502161> formula. CalPar(): Calculates various lengths used in fish stock assessment as biological length indicators such as asymptotic length (Linf), maximum length (Lmax), length at sexual maturity (Lm), and optimal length (Lopt). FishPar(): Calculates length-based [...truncated...]
Author: Ataher Ali [aut, cre], Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>

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Package i2extras (with last version 0.2.1) was removed from CRAN

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

2023-03-17 0.2.1
2021-07-08 0.1.2
2021-03-30 0.1.0
2020-10-30 0.0.2

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Package voice updated to version 0.5.4 with previous version 0.4.21 dated 2023-04-19

Title: Speaker Recognition, Voice Analysis and Mood Inference via Music Theory
Description: Provides tools for audio data analysis, including feature extraction, pitch detection, and speaker identification. Designed for voice research and signal processing applications.
Author: Zabala Filipe J. [cre, aut]
Maintainer: Zabala Filipe J. <filipezabala@gmail.com>

Diff between voice versions 0.4.21 dated 2023-04-19 and 0.5.4 dated 2025-07-14

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Package thames updated to version 0.1.2 with previous version 0.1.1 dated 2023-10-27

Title: Truncated Harmonic Mean Estimator of the Marginal Likelihood
Description: Implements the truncated harmonic mean estimator (THAMES) of the reciprocal marginal likelihood using posterior samples and unnormalized log posterior values via reciprocal importance sampling. Metodiev, Perrot-Dockès, Ouadah, Irons, Latouche, & Raftery (2024). Bayesian Analysis. <doi:10.1214/24-BA1422>.
Author: Nicholas J. Irons [aut, cre] , Marie Perrot-Dockes [aut], Martin Metodiev [aut]
Maintainer: Nicholas J. Irons <nicholasjonirons@gmail.com>

Diff between thames versions 0.1.1 dated 2023-10-27 and 0.1.2 dated 2025-07-14

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Package gdalraster updated to version 2.1.0 with previous version 2.0.0 dated 2025-05-11

Title: Bindings to 'GDAL'
Description: API bindings to the Geospatial Data Abstraction Library ('GDAL', <https://gdal.org>). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Class 'VSIFile' provides bindings to the 'GDAL' 'VSIVirtualHandle' API. Additional classes include 'CmbTable' for counting unique combinations of integers, and 'RunningStats' for computing summary statistics efficiently on large data streams. C++ stand-alone functions provide bindings to most 'GDAL' raster and vector utilities including 'OGR' facilities for vector geoprocessing, several algorithms, the Geometry API ('GEOS' via 'GDAL' he [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [ctb], Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <jctoney@gmail.com>

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Package eudata updated to version 0.1.3 with previous version 0.1.2 dated 2025-07-09

Title: Access Data from 'GISCO'
Description: Access data related to the European union from 'GISCO' <https://ec.europa.eu/eurostat/web/gisco>, the Geographic Information System of the European Commission, via its rest API at <https://gisco-services.ec.europa.eu>. This package tries to make it easier to get these data into R.
Author: Vilmos Prokaj [aut, cre]
Maintainer: Vilmos Prokaj <prokaj.vilmos@gmail.com>

Diff between eudata versions 0.1.2 dated 2025-07-09 and 0.1.3 dated 2025-07-14

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Package classmap updated to version 1.2.6 with previous version 1.2.5 dated 2025-06-18

Title: Visualizing Classification Results
Description: Tools to visualize the results of a classification or a regression. The graphical displays include stacked plots, silhouette plots, quasi residual plots, class maps, predictions plots, and predictions correlation plots. Implements the techniques described and illustrated in Raymaekers J., Rousseeuw P.J., Hubert M. (2022). Class maps for visualizing classification results. \emph{Technometrics}, 64(2), 151–165. \doi{10.1080/00401706.2021.1927849} (open access), Raymaekers J., Rousseeuw P.J.(2022). Silhouettes and quasi residual plots for neural nets and tree-based classifiers. \emph{Journal of Computational and Graphical Statistics}, 31(4), 1332–1343. \doi{10.1080/10618600.2022.2050249}, and Rousseeuw, P.J. (2025). Explainable Linear and Generalized Linear Models by the Predictions Plot. <doi:10.48550/arXiv.2412.16980> (open access). Examples can be found in the vignettes: "Discriminant_analysis_examples","K_nearest_neighbors_examples", "Support_vector_machine_examples", "Rpart_exa [...truncated...]
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package AQEval updated to version 0.6.2 with previous version 0.6.0 dated 2025-01-09

Title: Air Quality Evaluation
Description: Developed for use by those tasked with the routine detection, characterisation and quantification of discrete changes in air quality time-series, such as identifying the impacts of air quality policy interventions. The main functions use signal isolation then break-point/segment (BP/S) methods based on 'strucchange' and 'segmented' methods to detect and quantify change events (Ropkins & Tate, 2021, <doi:10.1016/j.scitotenv.2020.142374>).
Author: Karl Ropkins [aut, cre] , Anthony Walker [aut] , James Tate [aut]
Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>

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Package annotater updated to version 0.2.4 with previous version 0.2.3 dated 2024-01-26

Title: Annotate Package Load Calls
Description: Provides non-invasive annotation of package load calls such as \code{library()}, \code{p_load()}, and \code{require()} so that we can have an idea of what the packages we are loading are meant for.
Author: Luis D. Verde Arregoitia [aut, cre] , Juan Cruz Rodriguez [ctb], Hadley Wickham [ctb]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>

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Package thamesmix updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-26

Title: Truncated Harmonic Mean Estimator of the Marginal Likelihood for Mixtures
Description: Implements the truncated harmonic mean estimator (THAMES) of the reciprocal marginal likelihood for uni- and multivariate mixture models using posterior samples and unnormalized log posterior values via reciprocal importance sampling. Metodiev, Irons, Perrot-Dockès, Latouche & Raftery (2025) <doi:10.48550/arXiv.2504.21812>.
Author: Martin Metodiev [aut, cre, cph] , Nicholas J. Irons [aut] , Marie Perrot-Dockes [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>

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More information about thamesmix at CRAN
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New package snc with initial version 0.1.0
Package: snc
Title: Strongest Neighbor Coherence
Version: 0.1.0
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>
Description: Computes Strongest Neighbor Coherence (SNC), a structural diagnostic that replaces Cronbach's alpha using top-k correlation structure. For methodology, see Wells (2025) <https://github.com/TheotherDrWells/snc>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-09 20:34:33 UTC; w10105397
Author: Kevin E. Wells [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-14 17:30:02 UTC

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New package multimediate with initial version 0.1.4
Package: multimediate
Title: Causal Mediation Analysis in Presence of Multiple Mediators Uncausally Related
Version: 0.1.4
Description: Estimates key quantities in causal mediation analysis - including average causal mediation effects (indirect effects), average direct effects, total effects, and proportions mediated - in the presence of multiple uncausally related mediators. Methods are described by Jérolon et al., (2021) <doi:10.1515/ijb-2019-0088> and extended to accommodate survival outcomes as described by Domingo-Relloso et al., (2024) <doi:10.1101/2024.02.16.24302923>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://samarafk.github.io/multimediate/
Imports: rmutil, MASS, mvtnorm, stats, graphics, timereg
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-07-09 18:59:16 UTC; samara
Author: Allan Jerolon [aut], Arce Domingo-Relloso [aut], Samara Kiihl [cre, aut], Maria Tellez-Plaza [aut]
Maintainer: Samara Kiihl <samarak@unicamp.br>
Repository: CRAN
Date/Publication: 2025-07-14 17:20:02 UTC

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Package mtarm updated to version 0.1.6 with previous version 0.1.5 dated 2025-05-07

Title: Bayesian Estimation of Multivariate Threshold Autoregressive Models
Description: Estimation, inference and forecasting using the Bayesian approach for multivariate threshold autoregressive (TAR) models in which the distribution used to describe the noise process belongs to the class of Gaussian variance mixtures.
Author: Luis Hernando Vanegas [aut, cre], Sergio Alejandro Calderon [aut], Luz Marina Rondon [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

Diff between mtarm versions 0.1.5 dated 2025-05-07 and 0.1.6 dated 2025-07-14

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Package LogicForest updated to version 2.1.2 with previous version 2.1.1 dated 2024-03-13

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

Diff between LogicForest versions 2.1.1 dated 2024-03-13 and 2.1.2 dated 2025-07-14

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New package glsm with initial version 0.0.0.6
Package: glsm
Title: Saturated Model Log-Likelihood for Multinomial Outcomes
Version: 0.0.0.6
Date: 2025-07-09
Author: Jorge Villalba [aut, cre] , Humberto Llinas [aut] , Jorge Borja [aut] , Jorge Tilano [aut]
Maintainer: Jorge Villalba <jvillalba@utb.edu.co>
Description: When the response variable Y takes one of R > 1 values, the function 'glsm()' computes the maximum likelihood estimates (MLEs) of the parameters under four models: null, complete, saturated, and logistic. It also calculates the log-likelihood values for each model. This method assumes independent, non-identically distributed variables. For grouped data with a multinomial outcome, where observations are divided into J populations, the function 'glsm()' provides estimation for any number K of explanatory variables.
Depends: R (>= 3.5.0)
Imports: stats, dplyr (>= 1.0.0), ggplot2 (>= 1.0.0), VGAM (>= 1.0.0), plyr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 14:14:12 UTC; jvillalba
Repository: CRAN
Date/Publication: 2025-07-14 17:10:02 UTC

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New package conMItion with initial version 0.2.0
Package: conMItion
Title: Conditional Mutual Information Estimation for Multi-Omics Data
Version: 0.2.0
Description: The biases introduced in association measures, particularly mutual information, are influenced by factors such as tumor purity, mutation burden, and hypermethylation. This package provides the estimation of conditional mutual information (CMI) and its statistical significance with a focus on its application to multi-omics data. Utilizing B-spline functions (inspired by Daub et al. (2004) <doi:10.1186/1471-2105-5-118>), the package offers tools to estimate the association between heterogeneous multi- omics data, while removing the effects of confounding factors. This helps to unravel complex biological interactions. In addition, it includes methods to evaluate the statistical significance of these associations, providing a robust framework for multi-omics data integration and analysis. This package is ideal for researchers in computational biology, bioinformatics, and systems biology seeking a comprehensive tool for understanding interdependencies in omics data.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-09 16:03:07 UTC; gjywang
Author: Gaojianyong Wang [aut, cre]
Maintainer: Gaojianyong Wang <gjywang@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:10:05 UTC

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New package bhetGP with initial version 1.0
Package: bhetGP
Title: Bayesian Heteroskedastic Gaussian Processes
Version: 1.0
Maintainer: Parul V. Patil <parulvijay@vt.edu>
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.
License: LGPL
Encoding: UTF-8
NeedsCompilation: yes
Imports: grDevices, graphics, stats, doParallel, foreach, parallel, GpGp, GPvecchia, Matrix, Rcpp, mvtnorm, FNN, hetGP, laGP
LinkingTo: Rcpp, RcppArmadillo
Suggests: interp
Packaged: 2025-07-09 17:09:04 UTC; parulvijay
Author: Parul V. Patil [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-14 17:20:10 UTC

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New package BayesMoFo with initial version 0.1.0
Package: BayesMoFo
Title: Bayesian Mortality Forecasting
Version: 0.1.0
Description: Carry out Bayesian estimation and forecasting for a variety of stochastic mortality models using vague prior distributions. Models supported include numerous well-established approaches introduced in the actuarial and demographic literature, such as the Lee-Carter (1992) <doi:10.1080/01621459.1992.10475265>, the Cairns-Blake-Dowd (2009) <doi:10.1080/10920277.2009.10597538>, the Li-Lee (2005) <doi:10.1353/dem.2005.0021>, and the Plat (2009) <doi:10.1016/j.insmatheco.2009.08.006> models. The package is designed to analyse stratified mortality data structured as a 3-dimensional array of dimensions p × A × T (strata × age × year). Stratification can represent factors such as cause of death, country, deprivation level, sex, geographic region, insurance product, marital status, socioeconomic group, or smoking behavior. While the primary focus is on analysing stratified data (p > 1), the package can also handle mortality data that are not stratified (p = 1). Model s [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Imports: rjags, insight, coda, tidyverse, dplyr, magrittr, rlang
Depends: R (>= 4.0.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-10 00:19:50 UTC; Jackie
Author: Jackie Siaw Tze Wong [aut, cre] , Alex Diana [ctb], Aniketh Pittea [ctb]
Maintainer: Jackie Siaw Tze Wong <jw19203@essex.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-14 17:30:06 UTC

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New package wpeR with initial version 0.1.0
Package: wpeR
Title: Streamlined Analysis of Wild Pedigree Data
Version: 0.1.0
Description: Analyzing pedigree data of wild populations. While primarily designed to process outputs from the 'COLONY' (Jones & Wang (2010) <doi:10.1111/j.1755-0998.2009.02787.x>) pedigree reconstruction software, it can also accommodate data from other sources. By linking reconstructed pedigrees with genetic sample metadata, 'wpeR' produces spatial and temporal visualizations as well as tabular summaries that support interpretation of family structures and dynamics. The main goal of the package is to provide a solution for the analysis of complex wild pedigree data and to help the user to gain insights into genetic relationships within wild animal populations.
License: GPL (>= 3)
URL: https://gr3602.github.io/wpeR/
BugReports: https://github.com/GR3602/wpeR/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, sf, stats, utils
Suggests: basemaps, ggforce, ggrepel, gridExtra, kinship2, knitr, leaflet, leaflet.providers, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 13:06:42 UTC; gregor
Author: Tomaz Skrbinsek [aut], Gregor Simcic [aut, cre]
Maintainer: Gregor Simcic <grega0simcic@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:02 UTC

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New package urlexplorer with initial version 0.1.0
Package: urlexplorer
Title: Structural Analysis and Pattern Discovery in URL Datasets
Version: 0.1.0
Description: Offers tools for parsing and analyzing URL datasets, extracting key components and identifying common patterns. It aids in examining website architecture and identifying SEO issues, helping users optimize web presence and content strategy.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, rlang, stringr, tibble, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/MarekProkop/urlexplorer
BugReports: https://github.com/MarekProkop/urlexplorer/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-07-09 05:13:45 UTC; mprok
Author: Marek Prokop [aut, cre]
Maintainer: Marek Prokop <mprokop@prokopsw.cz>
Repository: CRAN
Date/Publication: 2025-07-14 16:40:02 UTC

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New package saeHB.TF.beta with initial version 0.1.0
Package: saeHB.TF.beta
Title: SAE using HB Twofold Subarea Model under Beta Distribution
Version: 0.1.0
Maintainer: Nasya Zahira Putri <nasyazp28@gmail.com>
Description: Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0), bayesplot, stringr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
URL: https://github.com/Nasyazahira/saeHB.TF.beta
BugReports: https://github.com/Nasyazahira/saeHB.TF.beta/issues
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-07-09 12:09:22 UTC; User
Author: Nasya Zahira Putri [aut, cre], Cucu Sumarni [aut]
Repository: CRAN
Date/Publication: 2025-07-14 17:00:06 UTC

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Package quickPlot updated to version 1.0.4 with previous version 1.0.2 dated 2023-07-02

Title: A System of Plotting Optimized for Speed and Modularity
Description: A high-level plotting system, compatible with `ggplot2` objects, maps from `sf`, `terra`, `raster`, `sp`. It is built primarily on the 'grid' package. The objective of the package is to provide a plotting system that is built for speed and modularity. This is useful for quick visualizations when testing code and for plotting multiple figures to the same device from independent sources that may be independent of one another (i.e., different function or modules the create the visualizations).
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between quickPlot versions 1.0.2 dated 2023-07-02 and 1.0.4 dated 2025-07-14

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 40 files changed, 1449 insertions(+), 2004 deletions(-)

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New package genderapi with initial version 1.0.3
Package: genderapi
Language: en-US
Title: Client for 'GenderAPI.io'
Version: 1.0.3
Description: Provides an interface to the 'GenderAPI.io' web service (<https://www.genderapi.io>) for determining gender from personal names, email addresses, or social media usernames. Functions are available to submit single or batch queries and retrieve additional information such as accuracy scores and country-specific gender predictions. This package simplifies integration of 'GenderAPI.io' into R workflows for data cleaning, user profiling, and analytics tasks.
License: MIT + file LICENSE
URL: https://github.com/GenderAPI/genderapi-R
BugReports: https://github.com/GenderAPI/genderapi-R/issues
Imports: httr, jsonlite
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-07-09 12:03:21 UTC; onurozturk
Author: Onur Ozturk [aut, cre]
Maintainer: Onur Ozturk <onurozturk1980@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:10 UTC

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New package emodnet.wfs with initial version 2.1.1
Package: emodnet.wfs
Title: Access 'EMODnet' Web Feature Service Data
Version: 2.1.1
Description: Access and interrogate 'EMODnet' (European Marine Observation and Data Network) Web Feature Service data <https://emodnet.ec.europa.eu/en/emodnet-web-service-documentation#data-download-services>. This includes listing existing data sources, and getting data from each of them.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/emodnet.wfs/, https://github.com/EMODnet/emodnet.wfs
BugReports: https://github.com/EMODnet/emodnet.wfs/issues
Depends: R (>= 4.1)
Imports: checkmate, cli, dplyr, lifecycle, memoise, ows4R (>= 0.5), purrr, rlang, sf, tibble, utils, whoami
Suggests: covr, httptest, knitr, mapview, readr, rmarkdown, testthat (>= 3.1.2), testthis, withr
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
NeedsCompilation: no
Packaged: 2025-07-09 09:02:52 UTC; maelle
Author: Joana Beja [aut, cre] , Anna Krystalli [aut] , Salvador Fernandez-Bejarano [aut] , Thomas J Webb [ctb], European Marine Observation Data Network Biology project European Commission's Directorate - General for Maritime Affairs and Fisheries [cph], V [...truncated...]
Maintainer: Joana Beja <joana.beja@vliz.be>
Repository: CRAN
Date/Publication: 2025-07-14 17:00:14 UTC

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Package doFuture updated to version 1.1.2 with previous version 1.1.1 dated 2025-06-06

Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 1.1.1 dated 2025-06-06 and 1.1.2 dated 2025-07-14

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Permanent link

New package clusterWebApp with initial version 0.1.3
Package: clusterWebApp
Title: Universal Clustering Analysis Platform
Version: 0.1.3
Description: An interactive platform for clustering analysis and teaching based on the 'shiny' web application framework. Supports multiple popular clustering algorithms including k-means, hierarchical clustering, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), PAM (Partitioning Around Medoids), GMM (Gaussian Mixture Model), and spectral clustering. Users can upload datasets or use built-in ones, visualize clustering results using dimensionality reduction methods such as Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE), evaluate clustering quality via silhouette plots, and explore method-specific visualizations and guides. For details on implemented methods, see: Reynolds (2009, ISBN:9781598296975) for GMM; Luxburg (2007) <doi:10.1007/s11222-007-9033-z> for spectral clustering.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, shinythemes, shinycssloaders, cluster, factoextra, datasets, ggplot2, dbscan, mclust, kernlab, Rtsne, DT, dplyr, tidyr, mlbench, magrittr
NeedsCompilation: no
Packaged: 2025-07-09 11:49:37 UTC; 86136
Author: Yijin Zhou [aut, cre]
Maintainer: Yijin Zhou <yijin_zhou1116@163.com>
Repository: CRAN
Date/Publication: 2025-07-14 16:50:02 UTC

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Package BCEA updated to version 2.4.81 with previous version 2.4.8 dated 2025-07-04

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a sample of suitable variables of cost and effectiveness / utility for two or more interventions, e.g. from a Bayesian model in the form of MCMC simulations. This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis, see Baio et al (2017) <doi:10.1007/978-3-319-55718-2>.
Author: Gianluca Baio [aut, cre, cph] , Andrea Berardi [aut] , Anna Heath [aut] , Nathan Green [aut]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>

Diff between BCEA versions 2.4.8 dated 2025-07-04 and 2.4.81 dated 2025-07-14

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Package b64 updated to version 0.1.7 with previous version 0.1.6 dated 2025-05-19

Title: Fast and Vectorized Base 64 Engine
Description: Provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, 'BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.
Author: Josiah Parry [aut, cre] , Etienne Bacher [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between b64 versions 0.1.6 dated 2025-05-19 and 0.1.7 dated 2025-07-14

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New package argminCS with initial version 1.1.0
Package: argminCS
Title: Argmin Inference over a Discrete Candidate Set
Version: 1.1.0
Date: 2025-07-07
Description: Provides methods to construct frequentist confidence sets with valid marginal coverage for identifying the population-level argmin or argmax based on IID data. For instance, given an n by p loss matrix—where n is the sample size and p is the number of models—the CS.argmin() method produces a discrete confidence set that contains the model with the minimal (best) expected risk with desired probability. The argmin.HT() method helps check if a specific model should be included in such a confidence set. The main implemented method is proposed by Tianyu Zhang, Hao Lee and Jing Lei (2024) "Winners with confidence: Discrete argmin inference with an application to model selection".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: BSDA, glue, LDATS, MASS, methods, Rdpack, stats, withr
URL: https://github.com/xu3cl4/argminCS
NeedsCompilation: no
Packaged: 2025-07-09 02:22:50 UTC; haolee
Author: Tianyu Zhang [aut], Hao Lee [aut, cre, cph], Jing Lei [aut]
Maintainer: Hao Lee <haolee@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-07-14 16:30:09 UTC

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Package VeccTMVN updated to version 1.3.0 with previous version 1.2.1 dated 2024-11-26

Title: Multivariate Normal Probabilities using Vecchia Approximation
Description: Under a different representation of the multivariate normal (MVN) probability, we can use the Vecchia approximation to sample the integrand at a linear complexity with respect to n. Additionally, both the SOV algorithm from Genz (92) and the exponential-tilting method from Botev (2017) can be adapted to linear complexity. The reference for the method implemented in this package is Jian Cao and Matthias Katzfuss (2024) "Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities" <doi:10.48550/arXiv.2311.09426>. Two major references for the development of our method are Alan Genz (1992) "Numerical Computation of Multivariate Normal Probabilities" <doi:10.1080/10618600.1992.10477010> and Z. I. Botev (2017) "The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting" <doi:10.48550/arXiv.1603.04166>.
Author: Jian Cao [aut, cre], Matthias Katzfuss [aut]
Maintainer: Jian Cao <jcao2416@gmail.com>

Diff between VeccTMVN versions 1.2.1 dated 2024-11-26 and 1.3.0 dated 2025-07-14

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Package WhatsR updated to version 1.0.6 with previous version 1.0.4 dated 2024-01-29

Title: Parsing, Anonymizing and Visualizing Exported 'WhatsApp' Chat Logs
Description: Imports 'WhatsApp' chat logs and parses them into a usable dataframe object. The parser works on chats exported from Android or iOS phones and on Linux, macOS and Windows. The parser has multiple options for extracting smileys and emojis from the messages, extracting URLs and domains from the messages, extracting names and types of sent media files from the messages, extracting timestamps from messages, extracting and anonymizing author names from messages. Can be used to create anonymized versions of data.
Author: Julian Kohne [aut, cre]
Maintainer: Julian Kohne <julian.kohne@gesis.org>

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Package sbtools updated to version 1.4.1 with previous version 1.4.0 dated 2025-07-07

Title: USGS ScienceBase Tools
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Author: David Blodgett [cre], Luke Winslow [aut], Scott Chamberlain [ctb], Alison Appling [ctb], Jordan Read [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between sbtools versions 1.4.0 dated 2025-07-07 and 1.4.1 dated 2025-07-14

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Package anytime updated to version 0.3.12 with previous version 0.3.11 dated 2024-12-19

Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package PolisheR updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-13

Title: Interfacing 'NaileR' with 'Shiny'
Description: A very small package for more convenient use of 'NaileR'. You provide a data set containing a latent variable you want to understand. It generates a description and an interpretation of this latent variable using a Large Language Model. For perceptual data, it describes the stimuli used in the experiment.
Author: Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>

Diff between PolisheR versions 1.1.0 dated 2025-07-13 and 1.1.1 dated 2025-07-14

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Package I14Y updated to version 0.1.5 with previous version 0.1.4 dated 2025-06-09

Title: Search and Get Data from the I14Y Interoperability Platform of Switzerland
Description: Search and download Swiss data and metadata from the I14Y interoperability platform of Switzerland using its public APIs <https://www.i14y.admin.ch/api/index.html>.
Author: Felix Luginbuhl [aut, cre, cph] , Felix Lorenz [ctr]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package GencoDymo2 updated to version 1.0.2 with previous version 1.0.1 dated 2025-05-15

Title: Comprehensive Analysis of 'GENCODE' Annotations and Splice Site Motifs
Description: A comprehensive suite of helper functions designed to facilitate the analysis of genomic annotations from the 'GENCODE' database <https://www.gencodegenes.org/>, supporting both human and mouse genomes. This toolkit enables users to extract, filter, and analyze a wide range of annotation features including genes, transcripts, exons, and introns across different 'GENCODE' releases. It provides functionality for cross-version comparisons, allowing researchers to systematically track annotation updates, structural changes, and feature-level differences between releases. In addition, the package can generate high-quality FASTA files containing donor and acceptor splice site motifs, which are formatted for direct input into the 'MaxEntScan' tool (Yeo and Burge, 2004 <doi:10.1089/1066527041410418>), enabling accurate calculation of splice site strength scores.
Author: Monah Abou Alezz [aut, cre, cph] , Lorenzo Salviati [ctb], Roberta Alfieri [ctb], Silvia Bione [ctb]
Maintainer: Monah Abou Alezz <aboualezz.monah@hsr.it>

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Package CopernicusMarine updated to version 0.2.6 with previous version 0.2.5 dated 2025-04-05

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.2.5 dated 2025-04-05 and 0.2.6 dated 2025-07-14

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 39 files changed, 617 insertions(+), 689 deletions(-)

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Package nanonext updated to version 1.6.2 with previous version 1.6.1 dated 2025-06-23

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library for reliable, high-performance messaging over in-process, IPC, TCP, WebSocket and secure TLS transports. Implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and service discovery. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing. Intuitive 'aio' objects resolve automatically when asynchronous operations complete, and synchronisation primitives allow R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between nanonext versions 1.6.1 dated 2025-06-23 and 1.6.2 dated 2025-07-14

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Package lrstat updated to version 0.2.15 with previous version 0.2.14 dated 2025-06-09

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between lrstat versions 0.2.14 dated 2025-06-09 and 0.2.15 dated 2025-07-14

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More information about lrstat at CRAN
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Package NHSRwaitinglist (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:

2025-04-29 0.1.1
2025-04-03 0.1.0

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Package AgePopDenom (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:

2025-02-25 0.4.0

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