Mon, 20 Oct 2025

Package ZVCV updated to version 2.1.3 with previous version 2.1.2 dated 2022-11-02

Title: Zero-Variance Control Variates
Description: Stein control variates can be used to improve Monte Carlo estimates of expectations when the derivatives of the log target are available. This package implements a variety of such methods, including zero-variance control variates (ZV-CV, Mira et al. (2013) <doi:10.1007/s11222-012-9344-6>), regularised ZV-CV (South et al., 2023 <doi:10.1214/22-BA1328>), control functionals (CF, Oates et al. (2017) <doi:10.1111/rssb.12185>) and semi-exact control functionals (SECF, South et al., 2022 <doi:10.1093/biomet/asab036>). ZV-CV is a parametric approach that is exact for (low order) polynomial integrands with Gaussian targets. CF is a non-parametric alternative that offers better than the standard Monte Carlo convergence rates. SECF has both a parametric and a non-parametric component and it offers the advantages of both for an additional computational cost. Functions for applying ZV-CV and CF to two estimators for the normalising constant of the posterior distribution in [...truncated...]
Author: Leah F. South [aut, cre]
Maintainer: Leah F. South <leah.south@hdr.qut.edu.au>

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Package PortfolioTesteR updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-29

Title: Test Investment Strategies with English-Like Code
Description: Design, backtest, and analyze portfolio strategies using simple, English-like function chains. Includes technical indicators, flexible stock selection, portfolio construction methods (equal weighting, signal weighting, inverse volatility, hierarchical risk parity), and a compact backtesting engine for portfolio returns, drawdowns, and summary metrics.
Author: Alberto Pallotta [aut, cre]
Maintainer: Alberto Pallotta <pallottaalberto@gmail.com>

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Package fastTopics updated to version 0.7-30 with previous version 0.6-192 dated 2024-07-09

Title: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data
Description: Implements fast, scalable optimization algorithms for fitting topic models ("grade of membership" models) and non-negative matrix factorizations to count data. The methods exploit the special relationship between the multinomial topic model (also, "probabilistic latent semantic indexing") and Poisson non-negative matrix factorization. The package provides tools to compare, annotate and visualize model fits, including functions to efficiently create "structure plots" and identify key features in topics. The 'fastTopics' package is a successor to the 'CountClust' package. For more information, see <doi:10.48550/arXiv.2105.13440> and <doi:10.1186/s13059-023-03067-9>. Please also see the GitHub repository for additional vignettes not included in the package on CRAN.
Author: Peter Carbonetto [aut, cre], Kevin Luo [aut], Kushal Dey [aut], Joyce Hsiao [ctb], Abhishek Sarkar [ctb], Anthony Hung [ctb], Xihui Lin [ctb], Paul C. Boutros [ctb], Minzhe Wang [ctb], Tracy Ke [ctb], Eric Weine [ctb], Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

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Package HCTDesign updated to version 0.7.4 with previous version 0.7.3 dated 2025-08-29

Title: Group Sequential Design for Historical Control Trial with Survival Outcome
Description: It provides functions to design historical controlled trials with survival outcome by group sequential method. The options for interim look boundaries are efficacy only, efficacy & futility or futility only. It also provides the function to monitor the trial for any unplanned look. The package is based on Jianrong Wu, Xiaoping Xiong (2016) <doi:10.1002/pst.1756> and Jianrong Wu, Yimei Li (2020) <doi:10.1080/10543406.2019.1684305>.
Author: Tushar Patni [aut, cre], Yimei Li [aut], Jianrong Wu [aut]
Maintainer: Tushar Patni <tushar.patni006@gmail.com>

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New package tteICE with initial version 1.0.1
Package: tteICE
Title: Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events
Version: 1.0.1
Author: Yuhao Deng [aut], Yi Zhou [cre]
Maintainer: Yi Zhou <yzhou@pku.edu.cn>
Description: Analyzing treatment effects in clinical trials with time-to-event outcomes is complicated by intercurrent events. This package implements methods for estimating and inferring the cumulative incidence functions for time-to-event (TTE) outcomes with intercurrent events (ICEs) under the five strategies outlined in the ICH E9 (R1) addendum, see Deng (2025)<doi:10.1002/sim.70091>. This package can be used for analyzing data from both randomized controlled trials and observational studies. In general, we have a primary outcome event and possibly an intercurrent event. Two data structures are allowed: competing risks, where only the time to the first event is recorded, and semicompeting risks, where the times to both the primary outcome event and intercurrent event (or censoring) are recorded. For estimation methods, users can choose nonparametric estimation (which does not use covariates) and semiparametrically efficient estimation.
URL: https://github.com/mephas/tteICE
BugReports: https://github.com/mephas/tteICE/issues
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: True
Imports: cmprsk, MASS, survival, shiny, shinythemes, shinyWidgets, DT, psych
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-10-15 06:05:06 UTC; zhouy
Repository: CRAN
Date/Publication: 2025-10-20 19:40:02 UTC

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New package SimplicialComplex with initial version 0.1.0
Package: SimplicialComplex
Title: Topological Data Analysis: Simplicial Complex
Version: 0.1.0
Maintainer: ChiChien Wang <kennywang2003@gmail.com>
Description: Provides an implementation of simplicial complexes for Topological Data Analysis (TDA). The package includes functions to compute faces, boundary operators, Betti numbers, Euler characteristic, and to construct simplicial complexes. It also implements persistent homology, from building filtrations to computing persistence diagrams, with the aim of helping readers understand the core concepts of computational topology. Methods are based on standard references in persistent homology such as Zomorodian and Carlsson (2005) <doi:10.1007/s00454-004-1146-y> and Chazal and Michel (2021) <doi:10.3389/frai.2021.667963>.
Imports: Matrix, gtools, igraph, ggplot2
License: MIT + file LICENSE
URL: https://github.com/TDA-R/SimplicialComplex
BugReports: https://github.com/TDA-R/SimplicialComplex/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-15 08:39:54 UTC; wangqiqian
Author: ChiChien Wang [aut, cre, trl]
Repository: CRAN
Date/Publication: 2025-10-20 19:30:15 UTC

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Package rvolleydata updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-02

Title: Extract Data from Professional Volleyball Leagues in North America
Description: Gather boxscore, play-by-play, and auxiliary data from Major League Volleyball (MLV) <https://provolleyball.com>, League One Volleyball Pro (LOVB Pro) <https://www.lovb.com/pro-league>, and Athletes Unlimited Pro Volleyball <https://auprosports.com/volleyball/> to create a repository of basic and advanced statistics for teams and players.
Author: David Awosoga [aut, cre, cph] , Matthew Chow [aut] , Ryan Du [aut]
Maintainer: David Awosoga <odo.awosoga@gmail.com>

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New package rosario with initial version 0.1.0
Package: rosario
Title: A Null Model Algorithm to Analyze Cyclical Data in Ecology
Version: 0.1.0
Description: Implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm Castro-Arellano et al. (2010) <doi:10.1111/j.2041-210X.2010.00031.x>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: broom, magrittr, purrr, furrr, future, rlang
URL: https://alrobles.github.io/rosario/
Suggests: rmarkdown, ggplot2, spelling
Depends: R (>= 4.1.0)
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-14 16:57:45 UTC; maria.h.m_1995
Author: Angel L. Robles-Fernandez [aut], Maria A. Hurtado-Materon [aut], Tatiana Velasquez-Roa [aut, ths], Ivan Castro-Arellano [cre]
Maintainer: Ivan Castro-Arellano <ic13@txstate.edu>
Repository: CRAN
Date/Publication: 2025-10-20 19:10:02 UTC

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Package FSinR readmission to version 2.0.8 with previous version 2.0.5 dated 2020-11-23

Title: Feature Selection
Description: Feature subset selection algorithms modularized in search algorithms and measure utilities.
Author: Alfonso Jimenez-Vilchez [aut, cre], Francisco Aragon-Royon [aut], Adan M. Rodriguez [aut], Antonio Arauzo-Azofra [aut], Jose Manuel Benitez [aut]
Maintainer: Alfonso Jimenez-Vilchez <i52jivia@uco.es>

This is a re-admission after prior archival of version 2.0.5 dated 2020-11-23

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New package faunabr with initial version 1.0.0
Package: faunabr
Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Version: 1.0.0
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <http://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Imports: XML (>= 3.99.0.14), data.table (>= 1.14.8), httr (>= 1.4.6), terra (>= 1.7.39), stats (>= 4.2.3), utils(>= 4.2.3),
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/wevertonbio/faunabr/issues
URL: https://wevertonbio.github.io/faunabr/
NeedsCompilation: no
Packaged: 2025-10-15 02:25:42 UTC; wever
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:30:09 UTC

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New package epmfd with initial version 1.1.1
Package: epmfd
Title: Exploratory and Person/Item Misfit Diagnostics for Polytomous Data
Version: 1.1.1
Description: Analysis of items and persons in data. To identify and remove person misfit in polytomous item-response data using either 'mokken' or a graded response model (GRM, via 'mirt'). Provides automatic thresholds, visual diagnostics (2D/3D), and export utilities. Methods build on Mokken scaling as in Mokken (1971, ISBN:9789027968821) and on the graded response model of Samejima (1969) <doi:10.1007/BF03372160>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/hsnbulut/epmfd
BugReports: https://github.com/hsnbulut/epmfd/issues
Imports: dplyr, fs, ggplot2, mirt, mokken, PerFit, readr, rlang, tibble
Suggests: plotly, ggrepel, openxlsx, haven, patchwork, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-10-15 21:10:27 UTC; hsn
Author: Hasan Bulut [aut, cre] , Asiye Şenguel Avsar [aut]
Maintainer: Hasan Bulut <hasan.bulut@omu.edu.tr>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:08 UTC

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New package CortSineScore with initial version 0.1.0
Package: CortSineScore
Title: Compute Cortisol Sine Score (CSS) for Diurnal Cortisol Analysis
Version: 0.1.0
Description: Computes a single scalar metric for diurnal cortisol cycle analysis, the Cortisol Sine Score (CSS). The score is calculated as the sum over time points of concentration multiplied by sin(2 * pi * time / 24), giving positive weights to morning time points and negative weights to evening ones. The method is model-free, robust, and suitable for regression, classification, clustering, and biomarker research.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: purrr, magrittr, dplyr
Suggests: tibble
URL: https://github.com/simone-anza/CortSineScore
BugReports: https://github.com/simone-anza/CortSineScore/issues
NeedsCompilation: no
Packaged: 2025-10-15 20:33:06 UTC; simon
Author: Simone Anza [aut, cre]
Maintainer: Simone Anza <simoneanza@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-20 19:40:14 UTC

More information about CortSineScore at CRAN
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New package compIndexBuilder with initial version 1.0.0
Package: compIndexBuilder
Version: 1.0.0
Title: Composite Index Builder & Analytics 'shiny' App
Description: Provides an interactive 'shiny' web application for constructing, analyzing, and visualizing composite indices from multidimensional datasets. Users can upload or select indicator data, group variables into logical categories, apply normalization and weighting methods (such as 'equal' or 'custom' schemes), and compute aggregate composite indices. The 'shiny' interface includes tools for exploring results through tables, plots, and data exports, making it useful for researchers, policymakers, and analysts interested in index-based evaluations.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: shiny, plotly, shinydashboard, dplyr, readxl, forecast, tidyr, corrplot, missForest, zoo, tibble, DT, ggplot2, networkD3, psych
Suggests: testthat (>= 3.0.0)
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-10-14 19:22:03 UTC; HAMIAN
Author: Hossein Hassani [aut], Leila Marvian Mashhad [aut, cre], Steve Macfeely [aut], Petra Kynclova [aut], Nour Barnat [aut], Fernando CANTU BAZALDUA [aut]
Repository: CRAN
Date/Publication: 2025-10-20 19:20:02 UTC

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Permanent link

Package cbcTools updated to version 0.7.1 with previous version 0.6.4 dated 2025-09-23

Title: Design and Analyze Choice-Based Conjoint Experiments
Description: Design and evaluate choice-based conjoint survey experiments. Generate a variety of survey designs, including random designs, frequency-based designs, and D-optimal designs, as well as "labeled" designs (also known as "alternative-specific designs"), designs with "no choice" options, and designs with dominant alternatives removed. Conveniently inspect and compare designs using a variety of metrics, including design balance, overlap, and D-error, and simulate choice data for a survey design either randomly or according to a utility model defined by user-provided prior parameters. Conduct a power analysis for a given survey design by estimating the same model on different subsets of the data to simulate different sample sizes. Bayesian D-efficient designs using the 'cea' and 'modfed' methods are obtained using the 'idefix' package by Traets et al (2020) <doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in power analyses are handled using the 'logitr' package by He [...truncated...]
Author: John Helveston [cre, aut, cph]
Maintainer: John Helveston <john.helveston@gmail.com>

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New package bigPCAcpp with initial version 0.9.0
Package: bigPCAcpp
Title: Principal Component Analysis for 'bigmemory' Matrices
Version: 0.9.0
Date: 2025-10-02
Author: Frederic Bertrand [aut, cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: High performance principal component analysis routines that operate directly on 'bigmemory::big.matrix' objects. The package avoids materialising large matrices in memory by streaming data through 'BLAS' and 'LAPACK' kernels and provides helpers to derive scores, loadings, correlations, and contribution diagnostics, including utilities that stream results into 'bigmemory'-backed matrices for file-based workflows. Additional interfaces expose 'scalable' singular value decomposition, robust PCA, and robust SVD algorithms so that users can explore large matrices while tempering the influence of outliers. 'Scalable' principal component analysis is also implemented, Elgamal, Yabandeh, Aboulnaga, Mustafa, and Hefeeda (2015) <doi:10.1145/2723372.2751520>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12), methods, withr
Suggests: knitr, rmarkdown, bigmemory, ggplot2, testthat (>= 3.0.0)
LinkingTo: Rcpp, bigmemory, BH
Encoding: UTF-8
VignetteBuilder: knitr
LazyLoad: yes
NeedsCompilation: yes
URL: https://fbertran.github.io/bigPCAcpp/, https://github.com/fbertran/bigPCAcpp/
BugReports: https://github.com/fbertran/bigPCAcpp/issues/
Packaged: 2025-10-14 21:24:55 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-10-20 19:20:07 UTC

More information about bigPCAcpp at CRAN
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Package wdiEF updated to version 1.0.4 with previous version 1.0.3 dated 2025-02-19

Title: Calculation of the Water Deficit Index (WDI) and the Evaporative Fraction (EF) on Rasters
Description: Provides functions to calculate the Water Deficit Index (WDI) and the Evaporative Fraction (EF) using geospatial raster data such as fractional vegetation cover (FVC) and surface-air temperature difference (TS-TA). The package automates regression-based edge fitting and produces continuous spatial maps of surface moisture and evaporative dynamics.
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>

Diff between wdiEF versions 1.0.3 dated 2025-02-19 and 1.0.4 dated 2025-10-20

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Package shazam updated to version 1.3.0 with previous version 1.2.0 dated 2023-10-02

Title: Immunoglobulin Somatic Hypermutation Analysis
Description: Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.
Author: Mohamed Uduman [aut], Namita Gupta [aut], Susanna Marquez [aut, cre], Julian Zhou [aut], Nima Nouri [aut], Noah Yann Lee [aut], Ang Cui [ctb], Jason Vander Heiden [aut], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package longreadvqs updated to version 0.1.4 with previous version 0.1.3 dated 2024-08-26

Title: Viral Quasispecies Comparison from Long-Read Sequencing Data
Description: Performs variety of viral quasispecies diversity analyses [see Pamornchainavakul et al. (2024) <doi:10.21203/rs.3.rs-4637890/v1>] based on long-read sequence alignment. Main functions include 1) sequencing error and other noise minimization and read sampling, 2) Single nucleotide variant (SNV) profiles comparison, and 3) viral quasispecies profiles comparison and visualization.
Author: Nakarin Pamornchainavakul [aut, cre]
Maintainer: Nakarin Pamornchainavakul <pamornakarin@gmail.com>

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Package datareportR updated to version 0.1.1 with previous version 0.1 dated 2025-10-16

Title: Fast Data Summary Reports
Description: Generates an RMarkdown data report with two components: a summary of an input dataset and a diff of the dataset relative to an old version.
Author: Bryant Cong [aut, cre]
Maintainer: Bryant Cong <bryant.bcp@gmail.com>

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Package hhmR updated to version 0.0.1.1 with previous version 0.0.1 dated 2025-01-14

Title: Hierarchical Heatmaps
Description: Allows users to create high-quality heatmaps from labelled, hierarchical data. Specifically, for data with a two-level hierarchical structure, it will produce a heatmap where each row and column represents a category at the lower level. These rows and columns are then grouped by the higher-level group each category belongs to, with the names for each category and groups shown in the margins. While other packages (e.g. 'dendextend') allow heatmap rows and columns to be arranged by groups only, 'hhmR' also allows the labelling of the data at both the category and group level.
Author: Michael Mahony [cre, aut, cph] , Francisco Rowe [aut] , Carmen Cabrera-Arnau [aut]
Maintainer: Michael Mahony <michael.mahony@cantab.net>

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Package spnn updated to version 1.3.0 with previous version 1.2.1 dated 2020-01-08

Title: Scale Invariant Probabilistic Neural Networks
Description: Scale invariant version of the original PNN proposed by Specht (1990) <doi:10.1016/0893-6080(90)90049-q> with the added functionality of allowing for smoothing along multiple dimensions while accounting for covariances within the data set. It is written in the R statistical programming language. Given a data set with categorical variables, we use this algorithm to estimate the probabilities of a new observation vector belonging to a specific category. This type of neural network provides the benefits of fast training time relative to backpropagation and statistical generalization with only a small set of known observations.
Author: Romin Ebrahimi [aut, cre]
Maintainer: Romin Ebrahimi <romin.ebrahimi@utexas.edu>

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Package bimets updated to version 4.1.0 with previous version 4.0.4 dated 2025-05-28

Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
Author: Andrea Luciani [aut, cre] , Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>

Diff between bimets versions 4.0.4 dated 2025-05-28 and 4.1.0 dated 2025-10-20

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Package NMOF updated to version 2.11-0 with previous version 2.10-1 dated 2024-11-03

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package manystates updated to version 1.0.3 with previous version 1.0.2 dated 2025-10-14

Title: Many Data on State and State-Like Actors in the International System
Description: Comprehensively identifying states and state-like actors is difficult. This package provides data on states and state-like entities in the international system across time. The package combines and cross-references several existing datasets consistent with the aims and functions of the manydata package. It also includes functions for identifying state references in text, and for generating fictional state names.
Author: James Hollway [cre, aut, ctb] , Bernhard Bieri [ctb] , Mylan Evrard [ctb] , Esther Peev [ctb] , Henrique Sposito [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package HARplus updated to version 1.1.2 with previous version 1.1.0 dated 2025-10-19

Title: Enhanced R Package for 'GEMPACK' .har and .sl4 Files
Description: Provides tools for processing and analyzing .har and .sl4 files, making it easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic datasets. It simplifies the management of multiple experiment results, enabling faster and more efficient comparisons without complexity. Users can extract, restructure, and merge data seamlessly, ensuring compatibility across different tools. The processed data can be exported and used in 'R', 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or 'Excel' formats.
Author: Pattawee Puangchit [aut, cre]
Maintainer: Pattawee Puangchit <ppuangch@purdue.edu>

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Package combinIT updated to version 2.0.1 with previous version 2.0.0 dated 2022-10-21

Title: A Combined Interaction Test for Unreplicated Two-Way Tables
Description: There are several non-functional-form-based interaction tests for testing interaction in unreplicated two-way layouts. However, no single test can detect all patterns of possible interaction and the tests are sensitive to a particular pattern of interaction. This package combines six non-functional-form-based interaction tests for testing additivity. These six tests were proposed by Boik (1993) <doi:10.1080/02664769300000004>, Piepho (1994), Kharrati-Kopaei and Sadooghi-Alvandi (2007) <doi:10.1080/03610920701386851>, Franck et al. (2013) <doi:10.1016/j.csda.2013.05.002>, Malik et al. (2016) <doi:10.1080/03610918.2013.870196> and Kharrati-Kopaei and Miller (2016) <doi:10.1080/00949655.2015.1057821>. The p-values of these six tests are combined by Bonferroni, Sidak, Jacobi polynomial expansion, and the Gaussian copula methods to provide researchers with a testing approach which leverages many existing methods to detect disparate forms of non-additivity. This [...truncated...]
Author: Zahra Shenavari [aut], Hossein Haghbin [aut, cre] , Mahmood Kharrati-Kopaei [aut] , Seyed Morteza Najibi [aut]
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>

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Package clifford updated to version 1.1-2 with previous version 1.1-1 dated 2025-05-07

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package MLE updated to version 1.6 with previous version 1.5 dated 2025-04-03

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb], Rafail Vargiakakis [aut], Nikolaos Kontemeniotis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between MLE versions 1.5 dated 2025-04-03 and 1.6 dated 2025-10-20

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Package cmsaf updated to version 3.6.0 with previous version 3.5.2 dated 2024-09-27

Title: A Toolbox for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and visualize CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cm [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

Diff between cmsaf versions 3.5.2 dated 2024-09-27 and 3.6.0 dated 2025-10-20

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Package stratEst updated to version 1.1.8 with previous version 1.1.7 dated 2025-04-01

Title: Strategy Estimation
Description: Variants of strategy estimation (Dal Bo & Frechette, 2011, <doi:10.1257/aer.101.1.411>), including the model with parameters for the choice probabilities of the strategies (Breitmoser, 2015, <doi:10.1257/aer.20130675>), and the model with individual level covariates for the selection of strategies by individuals (Dvorak & Fehrler, 2018, <doi:10.2139/ssrn.2986445>).
Author: Fabian Dvorak [aut, cre]
Maintainer: Fabian Dvorak <fabian.dvorak@uni.kn>

Diff between stratEst versions 1.1.7 dated 2025-04-01 and 1.1.8 dated 2025-10-20

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Package readyomics updated to version 0.2.0 with previous version 0.1.2 dated 2025-09-18

Title: Ready-to-Use Omics Formatting, Analysis, and Visualization Pipeline
Description: Provides a flexible and streamlined pipeline for formatting, analyzing, and visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, metabolomics). The package includes tools for shaping input data into analysis-ready structures, fitting linear or mixed-effect models, extracting key contrasts, and generating a rich variety of ready-to-use publication-quality plots. Designed for transparency and reproducibility across a wide range of study designs, with customizable components for statistical modeling.
Author: Laura Martinez-Gili [cre, aut, cph]
Maintainer: Laura Martinez-Gili <martinez.gili.laura@gmail.com>

Diff between readyomics versions 0.1.2 dated 2025-09-18 and 0.2.0 dated 2025-10-20

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Package Mhorseshoe updated to version 0.1.5 with previous version 0.1.4 dated 2025-03-16

Title: Approximate Algorithm for Horseshoe Prior
Description: Provides exact and approximate algorithms for the horseshoe prior in linear regression models, which were proposed by Johndrow et al. (2020) <https://www.jmlr.org/papers/v21/19-536.html>.
Author: Kang Mingi [aut, cre], Lee Kyoungjae [aut]
Maintainer: Kang Mingi <leehuimin115@g.skku.edu>

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New package funbootband with initial version 0.2.0
Package: funbootband
Title: Simultaneous Prediction and Confidence Bands for Time Series Data
Version: 0.2.0
Description: Provides methods to compute simultaneous prediction and confidence bands for dense time series data. The implementation builds on the functional bootstrap approach proposed by Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5> and extended by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506> to support both independent and clustered (hierarchical) data. Includes a simple API (see band()) and an 'Rcpp' backend for performance.
License: GPL-3
URL: https://github.com/koda86/funbootband-cran
BugReports: https://github.com/koda86/funbootband-cran/issues
Depends: R (>= 3.5)
Imports: Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
ByteCompile: true
NeedsCompilation: yes
Packaged: 2025-10-14 13:25:59 UTC; daniel
Author: Daniel Koska [aut, cre, cph]
Maintainer: Daniel Koska <dkoska@proton.me>
Repository: CRAN
Date/Publication: 2025-10-20 09:20:02 UTC

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New package arete with initial version 0.1
Package: arete
Title: Automated REtrieval from TExt
Version: 0.1
Date: 2025-09-29
Author: Vasco V. Branco [cre, aut] , Vaughn Shirey [ctb] , Thomas Merrien [ctb] , Pedro Cardoso [aut]
Maintainer: Vasco V. Branco <vasco.branco@helsinki.fi>
Description: A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) <doi:10.1002/asi.5090060209>, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) <https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) <https://repository.upenn.edu/handle/20.500.14332/2089>.
Depends: R (>= 4.3.0)
Imports: terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-10-14 13:54:02 UTC; sauron
Repository: CRAN
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2025-10-20 09:20:07 UTC

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Package spectacles readmission to version 0.5-5 with previous version 0.5-4 dated 2023-07-07

Title: Storing, Manipulating and Analysis Spectroscopy and Associated Data
Description: Stores and eases the manipulation of spectra and associated data, with dedicated classes for spatial and soil-related data.
Author: Pierre Roudier [aut, cre], Max Kuhn [ctb], Kristian Hovde Liland [ctb], Bjorn-Helge Mevik [ctb], Hadley Wickham [ctb], Raphael Viscarra Rossel [dtc]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

This is a re-admission after prior archival of version 0.5-4 dated 2023-07-07

Diff between spectacles versions 0.5-4 dated 2023-07-07 and 0.5-5 dated 2025-10-20

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Package seqtrie updated to version 0.3.5 with previous version 0.2.9 dated 2025-03-02

Title: Radix Tree and Trie-Based String Distances
Description: A collection of Radix Tree and Trie algorithms for finding similar sequences and calculating sequence distances (Levenshtein and other distance metrics). This work was inspired by a trie implementation in Python: "Fast and Easy Levenshtein distance using a Trie." Hanov (2011) <https://stevehanov.ca/blog/index.php?id=114>.
Author: Travers Ching [aut, cre, cph], Martin Moene [ctb, cph] , Steve Hanov [ctb] , Martin Leitner-Ankerl [ctb]
Maintainer: Travers Ching <traversc@gmail.com>

Diff between seqtrie versions 0.2.9 dated 2025-03-02 and 0.3.5 dated 2025-10-20

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Package jointCompRisk updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-14

Title: Joint Inference for Competing Risks Data Using Multiple Endpoints
Description: Tools for competing risks trials that allow simultaneous inference on recovery and mortality endpoints. Provides data preparation helpers, standard cumulative incidence estimators (restricted mean time gained/lost), and severity weighted extensions that integrate longitudinal ordinal outcomes to summarise treatment benefit. Methods follow Wen, Hu, and Wang (2023) Biometrics 79(3):1635-1645 <doi:10.1111/biom.13752>.
Author: Wenqing Zhang [aut, cre], Jiyang Wen [aut], Chen Hu [aut], Meicheng Wang [aut]
Maintainer: Wenqing Zhang <wzhan115@jhu.edu>

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Package forestdata (with last version 0.3.1) was removed from CRAN

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

2025-05-22 0.3.1

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Package ciccr (with last version 0.3.0) was removed from CRAN

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

2023-10-20 0.3.0
2020-10-29 0.2.0
2020-09-18 0.1.0

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Package whitebox updated to version 2.4.3 with previous version 2.4.2 dated 2025-10-14

Title: 'WhiteboxTools' R Frontend
Description: An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. [...truncated...]
Author: Qiusheng Wu [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <brown.andrewg@gmail.com>

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Package multcomp updated to version 1.4-29 with previous version 1.4-28 dated 2025-01-29

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package clhs updated to version 0.9.2 with previous version 0.9.0 dated 2021-10-14

Title: Conditioned Latin Hypercube Sampling
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb], Andrew Brown [ctb]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

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Package av updated to version 0.9.6 with previous version 0.9.5 dated 2025-08-25

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package aster updated to version 1.3-6 with previous version 1.3-5 dated 2025-06-03

Title: Aster Models
Description: Aster models (Geyer, Wagenius, and Shaw, 2007, <doi:10.1093/biomet/asm030>; Shaw, Geyer, Wagenius, Hangelbroek, and Etterson, 2008, <doi:10.1086/588063>; Geyer, Ridley, Latta, Etterson, and Shaw, 2013, <doi:10.1214/13-AOAS653>) are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, life table analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the ex [...truncated...]
Author: Charles J. Geyer [aut, cre]
Maintainer: Charles J. Geyer <geyer@umn.edu>

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