Tue, 28 Oct 2025

Package UKFE updated to version 2.0.0 with previous version 1.0.2 dated 2025-10-10

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 14. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "The FEH 2025 statistical method update", UK Centre for Ecology and Hydrology (2025). "Low flow es [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

Diff between UKFE versions 1.0.2 dated 2025-10-10 and 2.0.0 dated 2025-10-28

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Package rbmi updated to version 1.5.2 with previous version 1.5.1 dated 2025-10-14

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Craig Gower-Page [aut, cre], Isaac Gravestock [aut], Alessandro Noci [aut], Marcel Wolbers [ctb], Daniel Sabanes Bove [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@novartis.com>

Diff between rbmi versions 1.5.1 dated 2025-10-14 and 1.5.2 dated 2025-10-28

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Package vetiver updated to version 0.2.6 with previous version 0.2.5 dated 2023-11-16

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package propertee updated to version 1.0.3 with previous version 1.0.1 dated 2025-08-26

Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.
Author: Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer: Josh Errickson <jerrick@umich.edu>

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Package projpred updated to version 2.9.1 with previous version 2.9.0 dated 2025-07-08

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2025, <doi:10.1007/s00180-024-01506-0>), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, <doi:10.48550/arXiv.2109.04702>, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [aut], Frank Weber [aut], Osvaldo Martin [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Buerkner [ctb], Hamada S. Badr [ctb], Brian Sullivan [ctb], [...truncated...]
Maintainer: Osvaldo Martin <aloctavodia@gmail.com>

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Package iCellR updated to version 1.7.0 with previous version 1.6.7 dated 2024-01-29

Title: Analyzing High-Throughput Single Cell Sequencing Data
Description: A toolkit that allows scientists to work with data from single cell sequencing technologies such as scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST). Single (i) Cell R package ('iCellR') provides unprecedented flexibility at every step of the analysis pipeline, including normalization, clustering, dimensionality reduction, imputation, visualization, and so on. Users can design both unsupervised and supervised models to best suit their research. In addition, the toolkit provides 2D and 3D interactive visualizations, differential expression analysis, filters based on cells, genes and clusters, data merging, normalizing for dropouts, data imputation methods, correcting for batch differences, pathway analysis, tools to find marker genes for clusters and conditions, predict cell types and pseudotime analysis. See Khodadadi-Jamayran, et al (2020) <doi:10.1101/2020.05.05.078550> and Khodadadi-Jamayran, et al (2020) <doi:10.1101/2020.03.31.019109> for mo [...truncated...]
Author: Alireza Khodadadi-Jamayran [aut, cre] , Joseph Pucella [aut, ctb] , Hua Zhou [aut, ctb] , Nicole Doudican [aut, ctb] , John Carucci [aut, ctb] , Adriana Heguy [aut, ctb], Boris Reizis [aut, ctb] , Aristotelis Tsirigos [aut, ctb]
Maintainer: Alireza Khodadadi-Jamayran <alireza.khodadadi.j@gmail.com>

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Package cmvnorm updated to version 1.1-1 with previous version 1.0-7 dated 2022-01-30

Title: The Complex Multivariate Gaussian Distribution
Description: Various utilities for the complex multivariate Gaussian distribution and complex Gaussian processes.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package RBNZ updated to version 3.0.0 with previous version 1.1.0 dated 2020-07-27

Title: Download Data from the Reserve Bank of New Zealand Website
Description: Provides a convenient way of accessing data published by the Reserve Bank of New Zealand (RBNZ) on their website, <https://www.rbnz.govt.nz/statistics>. A range of financial and economic data is provided in spreadsheet format including exchange and interest rates, commercial lending statistics, Reserve Bank market operations, financial institution statistics, household financial data, New Zealand debt security information, and economic indicators. This package provides a method to download those spreadsheets and read them directly into R.
Author: Jasper Watson [aut, cre]
Maintainer: Jasper Watson <jasper.g.watson@gmail.com>

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New package spdgp with initial version 0.1.0
Package: spdgp
Title: Simulate Spatial Data Generation Processes
Version: 0.1.0
Description: Provides functionality for simulating data generation processes across various spatial regression models, conceptually aligned with the 'dgp' module of the 'Python' library 'spreg' <https://pysal.org/spreg/api.html#dgp>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
URL: https://josiahparry.github.io/spdgp/, https://github.com/josiahparry/spdgp
BugReports: https://github.com/josiahparry/spdgp/issues
Imports: cli, MASS, Matrix, methods, rlang, sf, smoothmest, spatialreg, spdep, stats, vctrs
NeedsCompilation: no
Packaged: 2025-10-23 13:53:26 UTC; dell
Author: Josiah Parry [aut] , Wenbo Lv [aut, cre] , Edzer Pebesma [ctb]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:20:02 UTC

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Package priorsense updated to version 1.2.0 with previous version 1.1.1 dated 2025-08-22

Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre, cph], Topi Paananen [aut], Paul-Christian Buerkner [aut], Aki Vehtari [aut], Frank Weber [ctb]
Maintainer: Noa Kallioinen <noa.kallioinen@aalto.fi>

Diff between priorsense versions 1.1.1 dated 2025-08-22 and 1.2.0 dated 2025-10-28

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New package modeltuning with initial version 0.1.2
Package: modeltuning
Title: Model Selection and Tuning Utilities
Version: 0.1.2
Description: Provides a lightweight framework for model selection and hyperparameter tuning in R. The package offers intuitive tools for grid search, cross-validation, and combined grid search with cross-validation that work seamlessly with virtually any modeling package. Designed for flexibility and ease of use, it standardizes tuning workflows while remaining fully compatible with a wide range of model interfaces and estimation functions.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: future.apply, progressr, R6, rlang
Suggests: e1071, future, parallelly, paws, rsample, rpart, yardstick, knitr, rmarkdown
URL: https://www.dmolitor.com/modeltuning/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 18:13:12 UTC; dmolitor
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:50:02 UTC

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New package ksm with initial version 1.0
Package: ksm
Title: Kernel Density Estimation for Random Symmetric Positive Definite Matrices
Version: 1.0
Description: Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
BugReports: https://github.com/lbelzile/ksm/issues
Imports: Rcpp (>= 1.0.12)
Suggests: cubature, tinytest
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-10-23 15:15:27 UTC; lbelzile
Author: Leo Belzile [aut, cre] , Frederic Ouimet [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:02 UTC

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New package HPZoneAPI with initial version 1.0.0
Package: HPZoneAPI
Title: 'HPZone' API Interface
Version: 1.0.0
Maintainer: Aart Dijkstra <a.dijkstra@ggdnog.nl>
Description: Package that simplifies the use of the 'HPZone' API. Most of the annoying and labor-intensive parts of the interface are handled by wrapper functions. Note that the API and its details are not publicly available. Information can be found at <https://www.ggdghorkennisnet.nl/groep/726-platform-infectieziekte-epidemiologen/documenten/map/9609> for those with access.
URL: https://github.com/ggdatascience/HPZoneAPI
BugReports: https://github.com/ggdatascience/HPZoneAPI/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, httr2, jsonlite, keyring, lubridate, magrittr, readxl, rstudioapi, safer, stringr
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 11:04:02 UTC; a.dijkstra
Author: Aart Dijkstra [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-10-28 12:20:08 UTC

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New package ganttify with initial version 0.1.1
Package: ganttify
Title: Create Interactive Gantt Charts with Work Breakdown Structure
Version: 0.1.1
Description: Create Primavera-style interactive Gantt charts with Work Breakdown Structure (WBS) hierarchy and activities. Features include color-coded WBS items, indented labels, scrollable views for large projects, dynamic date formatting, and the ability to dim past activities. Built on top of plotly for interactive visualizations.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: plotly (>= 4.9.0), dplyr (>= 1.0.0), htmlwidgets (>= 1.5.0), magrittr, rlang
Suggests: knitr, rmarkdown
URL: https://github.com/AhmedAredah/Ganttify
BugReports: https://github.com/AhmedAredah/Ganttify/issues
NeedsCompilation: no
Packaged: 2025-10-23 14:38:05 UTC; A-Aredah
Author: Ahmed Aredah [aut, cre]
Maintainer: Ahmed Aredah <Ahmed.Aredah@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:08 UTC

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New package easynem with initial version 1.0.3
Package: easynem
Title: Nematode Community Analysis
Version: 1.0.3
Description: Provides a built-in Nemaplex database for nematodes, which can be used to search for various nematodes. Also supports various nematode community and functional analyses such as nematode diversity, maturity index, metabolic footprint, and functional guild. The methods are based on <https://shiny.wur.nl/ninja/>, Bongers, T. (1990) <doi:10.1007/BF00324627>, Ferris, H. (2010) <doi:10.1016/j.ejsobi.2010.01.003>, Wan, B. et al. (2022) <doi:10.1016/j.soilbio.2022.108695>, and Van Den Hoogen, J. et al. (2019) <doi:10.1038/s41586-019-1418-6>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: agricolae, broom, dplyr, DT, ggplot2, ggpubr, ggraph, igraph, methods, multcompView, readr, reshape2, rlang, rstatix, shiny, shinydashboard, stats, Ternary, tibble, tidyr, utils, vegan
Depends: R (>= 4.1.0)
LazyData: true
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-23 15:20:21 UTC; wkg
Author: Wang Kunguang [aut, cre]
Maintainer: Wang Kunguang <whkygl@163.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:13 UTC

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New package CspStandSegmentation with initial version 0.1.2
Package: CspStandSegmentation
Title: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data
Version: 0.1.2
Description: Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.
URL: https://github.com/JulFrey/CspStandSegmentation
BugReports: https://github.com/JulFrey/CspStandSegmentation/issues
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 1.0.5), lidR, dbscan, igraph, foreach, doParallel, magrittr, data.table, sf, terra, RCSF, conicfit, rgl
LinkingTo: Rcpp, RcppArmadillo, lidR, BH
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-10-23 15:37:21 UTC; Frey
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2025-10-28 12:40:08 UTC

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Package simaerep updated to version 1.0.0 with previous version 0.7.0 dated 2025-04-09

Title: Detect Clinical Trial Sites Over- or Under-Reporting Clinical Events
Description: Monitoring reporting rates of subject-level clinical events (e.g. adverse events, protocol deviations) reported by clinical trial sites is an important aspect of risk-based quality monitoring strategy. Sites that are under-reporting or over-reporting events can be detected using bootstrap simulations during which patients are redistributed between sites. Site-specific distributions of event reporting rates are generated that are used to assign probabilities to the observed reporting rates. (Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).
Author: Bjoern Koneswarakantha [aut, cre, cph] , F. Hoffmann-La Roche Ltd [cph]
Maintainer: Bjoern Koneswarakantha <bjoern.koneswarakantha@roche.com>

Diff between simaerep versions 0.7.0 dated 2025-04-09 and 1.0.0 dated 2025-10-28

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Package REMixed updated to version 1.1.0 with previous version 0.1.0 dated 2025-06-27

Title: Regularized Estimation in Mixed Effects Model
Description: Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.
Author: Auriane Gabaut [aut, cre], Ariane Bercu [aut], Melanie Prague [aut], Cecile Proust-Lima [aut]
Maintainer: Auriane Gabaut <auriane.gabaut@inria.fr>

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Package inverseRegex updated to version 0.2.0 with previous version 0.1.1 dated 2022-10-23

Title: Reverse Engineers Regular Expression Patterns for R Objects
Description: Reverse engineer a regular expression pattern for the characters contained in an R object. Individual characters can be categorised into digits, letters, punctuation or spaces and encoded into run-lengths. This can be used to summarise the structure of a dataset or identify non-standard entries. Many non-character inputs such as numeric vectors and data frames are supported.
Author: Jasper Watson [aut, cre]
Maintainer: Jasper Watson <jasper.g.watson@gmail.com>

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Package cancerradarr updated to version 2.0.0 with previous version 1.3.1 dated 2025-07-18

Title: Cancer RADAR Project Tool
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.
Author: Nienke Alberts [aut], Damien Georges [aut, cre] , Stefano Rosso [aut], Iacopo Baussano [aut]
Maintainer: Damien Georges <georgesd@iarc.who.int>

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Package breathtestcore updated to version 0.8.10 with previous version 0.8.9 dated 2025-01-08

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package shapeR updated to version 1.0-2 with previous version 1.0-1 dated 2022-11-21

Title: Collection and Analysis of Otolith Shape Data
Description: Studies otolith shape variation among fish populations. Otoliths are calcified structures found in the inner ear of teleost fish and their shape has been known to vary among several fish populations and stocks, making them very useful in taxonomy, species identification and to study geographic variations. The package extends previously described software used for otolith shape analysis by allowing the user to automatically extract closed contour outlines from a large number of images, perform smoothing to eliminate pixel noise described in Haines and Crampton (2000) <doi:10.1111/1475-4983.00148>, choose from conducting either a Fourier or wavelet see Gençay et al (2001) <doi:10.1016/S0378-4371(00)00463-5> transform to the outlines and visualize the mean shape. The output of the package are independent Fourier or wavelet coefficients which can be directly imported into a wide range of statistical packages in R. The package might prove useful in studies of any two dimensional [...truncated...]
Author: Lisa Anne Libungan [aut, cre], Snaebjorn Palsson [aut, ths]
Maintainer: Lisa Anne Libungan <lisa.libungan@gmail.com>

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Package priceR updated to version 1.0.3 with previous version 1.0.2 dated 2024-08-17

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020).
Author: Steve Condylios [aut, cre], Bruno Mioto [ctb], Bryan Shalloway [ctb]
Maintainer: Steve Condylios <steve.condylios@gmail.com>

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Package FeatureExtraction updated to version 3.12.0 with previous version 3.11.0 dated 2025-09-01

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package coglasso updated to version 1.1.0 with previous version 1.0.2 dated 2024-04-03

Title: Collaborative Graphical Lasso - Multi-Omics Network Reconstruction
Description: Reconstruct networks from multi-omics data sets with the collaborative graphical lasso (coglasso) algorithm described in Albanese, A., Kohlen, W., and Behrouzi, P. (2024) <doi:10.48550/arXiv.2403.18602>. Use the main wrapper function `bs()` to build and select a multi-omics network.
Author: Alessio Albanese [aut, cre, cph] , Pariya Behrouzi [aut]
Maintainer: Alessio Albanese <alessio.albanese@wur.nl>

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Package binaryRL updated to version 0.9.8 with previous version 0.9.7 dated 2025-08-19

Title: Reinforcement Learning Tools for Two-Alternative Forced Choice Tasks
Description: Tools for building Rescorla-Wagner Models for Two-Alternative Forced Choice tasks, commonly employed in psychological research. Most concepts and ideas within this R package are referenced from Sutton and Barto (2018) <ISBN:9780262039246>. The package allows for the intuitive definition of RL models using simple if-else statements and three basic models built into this R package are referenced from Niv et al. (2012)<doi:10.1523/JNEUROSCI.5498-10.2012>. Our approach to constructing and evaluating these computational models is informed by the guidelines proposed in Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Example datasets included with the package are sourced from the work of Mason et al. (2024) <doi:10.3758/s13423-023-02415-x>.
Author: YuKi [aut, cre]
Maintainer: YuKi <hmz1969a@gmail.com>

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 18 files changed, 1134 insertions(+), 608 deletions(-)

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New package pleioh2g with initial version 0.1.0
Package: pleioh2g
Title: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics
Version: 0.1.0
Description: Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: data.table, dplyr, stats, rlang, mvtnorm, fs, arrow, checkmate, cli, gdata, glue, purrr, tibble, vroom
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-26 14:46:50 UTC; yujiezhao
Author: Yujie Zhao [aut, cre]
Maintainer: Yujie Zhao <yujiezhao@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2025-10-28 09:50:02 UTC

More information about pleioh2g at CRAN
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Package I14Y updated to version 0.1.7 with previous version 0.1.6 dated 2025-09-24

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>

Diff between I14Y versions 0.1.6 dated 2025-09-24 and 0.1.7 dated 2025-10-28

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 8 files changed, 10 insertions(+), 45 deletions(-)

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Package hdtg updated to version 0.2.3 with previous version 0.2.2 dated 2025-10-25

Title: Generate Samples from Multivariate Truncated Normal Distributions
Description: Efficient sampling from high-dimensional truncated Gaussian distributions, or multivariate truncated normal (MTN). Techniques include zigzag Hamiltonian Monte Carlo as in Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard (2024) <doi:10.1080/01621459.2024.2395587>, and harmonic Monte in Ari Pakman and Liam Paninski (2014) <doi:10.1080/10618600.2013.788448>.
Author: Zhenyu Zhang [aut, cre], Andrew Chin [aut], Akihiko Nishimura [aut], Marc A. Suchard [aut], John W. Ratcliff et al. [cph, ctb]
Maintainer: Zhenyu Zhang <zhangzhenyusa@gmail.com>

Diff between hdtg versions 0.2.2 dated 2025-10-25 and 0.2.3 dated 2025-10-28

 DESCRIPTION             |    6 +++---
 MD5                     |    6 +++---
 build/partial.rdb       |binary
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 4 files changed, 14 insertions(+), 9 deletions(-)

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New package THETASVM with initial version 0.1.0
Package: THETASVM
Title: Time Series Forecasting using THETA-SVM Hybrid Model
Version: 0.1.0
Depends: R (>= 2.3.1), stats,forecast, tseries, TSSVM
Description: Testing, Implementation, and Forecasting of the THETA-SVM hybrid model. The THETA-SVM hybrid model combines the distinct strengths of the THETA model and the Support Vector Machine (SVM) model for time series forecasting.For method details see Bhattacharyya et al. (2022) <doi:10.1007/s11071-021-07099-3>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2025-10-23 06:37:43 UTC; hps
Author: Fasila K. P. [aut, ctb], Mrinmoy Ray [aut, cre], Rajeev Ranjan Kumar [aut, ctb], K. N. Singh [aut, ctb], Amrender Kumar [aut, ctb], Santosha Rathod [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:30:08 UTC

More information about THETASVM at CRAN
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New package rSDR with initial version 1.0.2.1
Package: rSDR
Title: Robust Sufficient Dimension Reduction
Version: 1.0.2.1
Description: A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.
License: GPL (>= 3)
Encoding: UTF-8
Imports: expm, ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future, future.apply, ggplot2, ggsci
Suggests: knitr, rmarkdown, Matrix, RcppNumerical, fdm2id
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 03:41:24 UTC; chiann
Author: Sheau-Chiann Chen [aut, cre] , Shilin Zhao [aut], Hsin-Hsiung Bill Huang [aut]
Maintainer: Sheau-Chiann Chen <sheau-chiann.chen.1@vumc.org>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:08 UTC

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New package roclab with initial version 0.1.3
Package: roclab
Title: ROC-Optimizing Binary Classifiers
Version: 0.1.3
Description: Implements ROC (Receiver Operating Characteristic)–Optimizing Binary Classifiers, supporting both linear and kernel models. Both model types provide a variety of surrogate loss functions. In addition, linear models offer multiple regularization penalties, whereas kernel models support a range of kernel functions. Scalability for large datasets is achieved through approximation-based options, which accelerate training and make fitting feasible on large data. Utilities are provided for model training, prediction, and cross-validation. The implementation builds on the ROC-Optimizing Support Vector Machines. For more information, see Hernàndez-Orallo, José, et al. (2004) <doi:10.1145/1046456.1046489>, presented in the ROC Analysis in AI Workshop (ROCAI-2004).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, graphics, utils, ggplot2, fastDummies, kernlab, pracma, rsample, dplyr, caret
Suggests: mlbench, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/gimunBae/roclab
BugReports: https://github.com/gimunBae/roclab/issues
NeedsCompilation: no
Packaged: 2025-10-23 03:43:18 UTC; bgd55
Author: Gimun Bae [aut, cre], Seung Jun Shin [aut]
Maintainer: Gimun Bae <gimunbae0201@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:20:02 UTC

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New package iSTAY with initial version 1.0.0
Package: iSTAY
Title: Information-Based Stability and Synchrony Measures
Version: 1.0.0
Date: 2025-10-16
Author: Anne Chao [aut, cre], Yu-Ting Huang [aut], Johnny Shia [aut]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Description: Provides functions to to compute a continuum of information-based measures for quantifying the temporal stability of populations, communities, and ecosystems, as well as their associated synchrony, based on species (or species assemblage) biomass or other key variables. When biodiversity data are available, the package also enables the assessment of the corresponding diversity–stability relationships. All measures are applicable in both temporal and spatial contexts. The theoretical and methodological background is detailed in Chao et al. (2025) <doi:10.1101/2025.08.20.671203>.
License: GPL (>= 3)
Imports: ggplot2 (>= 3.5.0), stringr, lmerTest, lme4, dplyr, ggpubr
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-23 07:46:36 UTC; nthu
Repository: CRAN
Date/Publication: 2025-10-28 08:30:02 UTC

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New package hetcorFS with initial version 1.0
Package: hetcorFS
Title: Unsupervised Feature Selection using the Heterogeneous Correlation Matrix
Version: 1.0
Description: Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features, and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review. Forthcoming.
License: GPL-2
Imports: polycor, dplyr, cluster, graphics,psych
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-23 09:22:44 UTC; cristina
Author: Cristina Tortora [aut, cre, fnd], Antonio Punzo [aut], Shaam Madhvani [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:40:02 UTC

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Package FossilSim updated to version 2.4.2 with previous version 2.4.1 dated 2024-10-02

Title: Simulation and Plots for Fossil and Taxonomy Data
Description: Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph], Ugnė Stolz [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

Diff between FossilSim versions 2.4.1 dated 2024-10-02 and 2.4.2 dated 2025-10-28

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 30 files changed, 4362 insertions(+), 4271 deletions(-)

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New package GulFM with initial version 0.1.2
Package: GulFM
Title: General Unilateral Load Estimator for Two-Layer Latent Factor Models
Version: 0.1.2
Description: Implements general unilateral loading estimator for two-layer latent factor models with smooth, element-wise factor transformations. We provide data simulation, loading estimation,finite-sample error bounds, and diagnostic tools for zero-mean and sub-Gaussian assumptions. A unified interface is given for evaluating estimation accuracy and cosine similarity. The philosophy of the package is described in Guo G. (2026) <doi:10.1016/j.apm.2025.116280>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: MASS, matrixStats
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Language: en-US
Author: Guangbao Guo [aut, cre]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-10-22 23:54:26 UTC; Administrator
Repository: CRAN
Date/Publication: 2025-10-28 08:10:02 UTC

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Package arcgislayers updated to version 0.5.2 with previous version 0.5.1 dated 2025-10-22

Title: Harness ArcGIS Data Services
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Antony Barja [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgislayers versions 0.5.1 dated 2025-10-22 and 0.5.2 dated 2025-10-28

 DESCRIPTION                |    8 ++++----
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New package afmpar with initial version 0.2.0
Package: afmpar
Title: Check Validity of Greek AFM and PA Numbers
Version: 0.2.0
Author: Panagiotis Cheilaris [aut, cre]
Maintainer: Panagiotis Cheilaris <philaris@gmail.com>
Description: With the functions in this package you can check the validity of the Greek Tax Identification Number (AFM) and the Greek Personal Number (PA) <https://pa.gov.gr>. The PA is a new universal ID for Greek citizens across all public services and it is to replace older numbers issued by various Greek state agencies. Its format is a 12-character ID consisting of three alphanumeric characters followed by the nine numerical digits of the AFM.
URL: https://github.com/philaris/afmpar
BugReports: https://github.com/philaris/afmpar/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-23 09:05:09 UTC; philaris
Repository: CRAN
Date/Publication: 2025-10-28 08:40:07 UTC

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

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

2024-12-03 1.0.1
2024-11-14 1.0.0

Permanent link
Package DLSSM (with last version 1.1.1) was removed from CRAN

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

2025-05-22 1.1.1

Permanent link
Package wbwdi updated to version 1.0.2 with previous version 1.0.1 dated 2025-03-25

Title: Seamless Access to World Bank World Development Indicators (WDI)
Description: Access and analyze the World Bank’s World Development Indicators (WDI) using the corresponding API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. WDI provides more than 24,000 country or region-level indicators for various contexts. 'wbwdi' enables users to download, process and work with WDI series across multiple countries, aggregates, and time periods.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

Diff between wbwdi versions 1.0.1 dated 2025-03-25 and 1.0.2 dated 2025-10-28

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 tests/testthat/tests-wdi_get_topics.R        |    6 
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Package SelfControlledCaseSeries updated to version 6.1.1 with previous version 6.1.0 dated 2025-09-03

Title: Self-Controlled Case Series
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SelfControlledCaseSeries versions 6.1.0 dated 2025-09-03 and 6.1.1 dated 2025-10-28

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Package rsconnect updated to version 1.6.0 with previous version 1.5.1 dated 2025-08-28

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

Diff between rsconnect versions 1.5.1 dated 2025-08-28 and 1.6.0 dated 2025-10-28

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Package reformulas updated to version 0.4.2 with previous version 0.4.1 dated 2025-04-30

Title: Machinery for Processing Random Effect Formulas
Description: Takes formulas including random-effects components (formatted as in 'lme4', 'glmmTMB', etc.) and processes them. Includes various helper functions.
Author: Ben Bolker [aut, cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

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Package pedtools updated to version 2.9.0 with previous version 2.8.2 dated 2025-07-13

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'pedsuite', a collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package lefko3 updated to version 6.6.0 with previous version 6.5.1 dated 2025-08-29

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
Author: Richard P. Shefferson [aut, cre] , Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package DrugSim2DR updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-10

Title: Predict Drug Functional Similarity to Drug Repurposing
Description: A systematic biology tool was developed to repurpose drugs via a drug-drug functional similarity network. 'DrugSim2DR' first predict drug-drug functional similarity in the context of specific disease, and then using the similarity constructed a weighted drug similarity network. Finally, it used a network propagation algorithm on the network to identify drugs with significant target abnormalities as candidate drugs.
Author: Junwei Han [aut, cre, cph], Ji Li [aut], Jiashuo Wu [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between DrugSim2DR versions 0.1.1 dated 2023-08-10 and 0.1.2 dated 2025-10-28

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Package blogdown updated to version 1.22 with previous version 1.21 dated 2025-03-15

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.21 dated 2025-03-15 and 1.22 dated 2025-10-28

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