Wed, 12 Nov 2025

Package gerda updated to version 0.4.0 with previous version 0.3.0 dated 2025-10-29

Title: German Election Database (GERDA)
Description: Provides tools to download comprehensive datasets of local, state, and federal election results in Germany from 1990 to 2025. The package facilitates access to data on turnout, vote shares for major parties, and demographic information across different levels of government (municipal, state, and federal). It offers access to geographically harmonized datasets that account for changes in municipal boundaries over time and incorporate mail-in voting districts. Users can easily retrieve, clean, and standardize German electoral data, making it ready for analysis. Data is sourced from <https://github.com/awiedem/german_election_data>.
Author: Hanno Hilbig [aut, cre]
Maintainer: Hanno Hilbig <hhilbig@ucdavis.edu>

Diff between gerda versions 0.3.0 dated 2025-10-29 and 0.4.0 dated 2025-11-12

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Package xtdml updated to version 0.1.9 with previous version 0.1.8 dated 2025-11-06

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

Diff between xtdml versions 0.1.8 dated 2025-11-06 and 0.1.9 dated 2025-11-12

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Package scCustomize updated to version 3.2.2 with previous version 3.2.1 dated 2025-11-08

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

Diff between scCustomize versions 3.2.1 dated 2025-11-08 and 3.2.2 dated 2025-11-12

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Package multidplyr updated to version 0.1.4 with previous version 0.1.3 dated 2023-03-22

Title: A Multi-Process 'dplyr' Backend
Description: Partition a data frame across multiple worker processes to provide simple multicore parallelism.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between multidplyr versions 0.1.3 dated 2023-03-22 and 0.1.4 dated 2025-11-12

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Package DiceOptim readmission to version 2.1.2 with previous version 2.1.1 dated 2021-02-01

Title: Kriging-Based Optimization for Computer Experiments
Description: Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Author: Mickael Binois [cre, ctb], Victor Picheny [aut], David Ginsbourger [aut], Olivier Roustant [aut], Sebastien Marmin [ctb], Tobias Wagner [ctb]
Maintainer: Mickael Binois <mickael.binois@inria.fr>

This is a re-admission after prior archival of version 2.1.1 dated 2021-02-01

Diff between DiceOptim versions 2.1.1 dated 2021-02-01 and 2.1.2 dated 2025-11-12

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Package datetoiso updated to version 1.0.0 with previous version 0.2.0 dated 2023-12-01

Title: Convert and Impute Dates to ISO Standard ("International Organization for Standardization")
Description: Provides functions to convert and impute date values to the ISO 8601 standard format. The package automatically recognizes date patterns within a data frame and transforms them into consistent ISO-formatted dates. It also supports imputing missing month or day components in partial date strings using user-defined rules. Only one date format can be applied within a single data frame column.
Author: Lukasz Andrzejewski [aut, cre]
Maintainer: Lukasz Andrzejewski <lukasz.coding@gmail.com>

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Package ConversationAlign updated to version 0.4.0 with previous version 0.3.2 dated 2025-07-30

Title: Process Text and Compute Linguistic Alignment in Conversation Transcripts
Description: Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.
Author: Jamie Reilly [aut, cre] , Virginia Ulichney [aut], Ben Sacks [aut], Sarah Weinstein [ctb], Chelsea Helion [ctb], Gus Cooney [ctb]
Maintainer: Jamie Reilly <jamie_reilly@temple.edu>

Diff between ConversationAlign versions 0.3.2 dated 2025-07-30 and 0.4.0 dated 2025-11-12

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Package cookiemonster updated to version 0.0.4 with previous version 0.0.3 dated 2023-11-30

Title: Your Friendly Solution to Managing Browser Cookies
Description: A convenient tool to store and format browser cookies and use them in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between cookiemonster versions 0.0.3 dated 2023-11-30 and 0.0.4 dated 2025-11-12

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Package kernelPhil readmission to version 0.2 with previous version 0.1 dated 2021-02-25

Title: Kernel Smoothing Tools for Philology and Historical Dialectology
Description: Contains kernel smoothing tools designed for use by historical dialectologists and philologists for exploring spatial and temporal patterns in noisy historical language data, such as that obtained from historical texts. The main way in which these might differ from other implementations of kernel smoothing is that they assume that the function (linguistic variable) being explored has the form of the relative frequency of a series of discrete possibilities (linguistic variants). This package also offers a way of exploring distributions in 2-dimensional space and in time with separate kernels, and tools for identifying appropriate bandwidths for these.
Author: Tamsin Blaxter [aut, cre]
Maintainer: Tamsin Blaxter <tamsinblaxter@gmail.com>

This is a re-admission after prior archival of version 0.1 dated 2021-02-25

Diff between kernelPhil versions 0.1 dated 2021-02-25 and 0.2 dated 2025-11-12

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New package GraphRankTest with initial version 0.1
Package: GraphRankTest
Title: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)
Version: 0.1
Maintainer: Doudou Zhou <ddzhou@nus.edu.sg>
Description: Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) <https://proceedings.mlr.press/v195/zhou23a.html>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, ade4, nbpMatching
Suggests: testthat (>= 3.0.0), rmarkdown
URL: https://proceedings.mlr.press/v195/zhou23a.html
NeedsCompilation: no
Packaged: 2025-11-09 08:21:43 UTC; doudou
Author: Doudou Zhou [aut, cre] , Hao Chen [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:10:07 UTC

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New package FCUSUM with initial version 1.0.0
Package: FCUSUM
Title: Fourier CUSUM Cointegration Test
Version: 1.0.0
Description: Implements the Fourier cumulative sum (CUSUM) cointegration test for detecting cointegration relationships in time series data with structural breaks. The test uses Fourier approximations to capture smooth structural changes and CUSUM statistics to test for cointegration stability. Based on methodology described in Zaghdoudi (2025) <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion (AICc) is used for optimal frequency selection.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-11-09 16:11:47 UTC; admin
Author: Taha Zaghdoudi [aut, cre]
Maintainer: Taha Zaghdoudi <zedtaha@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:10:11 UTC

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New package trendseries with initial version 1.1.0
Package: trendseries
Title: Extract Trends from Time Series
Version: 1.1.0
Description: Extract trends from monthly and quarterly economic time series. Provides two main functions: augment_trends() for pipe-friendly 'tibble' workflows and extract_trends() for direct time series analysis. Includes key econometric filters and modern parameter experimentation tools.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/viniciusoike/trendseries, https://viniciusoike.github.io/trendseries/
BugReports: https://github.com/viniciusoike/trendseries/issues
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Depends: R (>= 4.1.0)
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyr, xts
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-09 03:07:45 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:02 UTC

More information about trendseries at CRAN
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Package testex updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-14

Title: Add Tests to Examples
Description: Add tests in-line in examples. Provides standalone functions for facilitating easier test writing in Rd files. However, a more familiar interface is provided using 'roxygen2' tags. Tools are also provided for facilitating package configuration and use with 'testthat'.
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

Diff between testex versions 0.2.0 dated 2024-04-14 and 0.2.1 dated 2025-11-12

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Package epizootic updated to version 2.0.0 with previous version 1.0.0 dated 2024-10-02

Title: Spatially Explicit Population Models of Disease Transmission in Wildlife
Description: This extension of the pattern-oriented modeling framework of the 'poems' package provides a collection of modules and functions customized for modeling disease transmission on a population scale in a spatiotemporally explicit manner. This includes seasonal time steps, dispersal functions that track disease state of dispersers, results objects that store disease states, and a population simulator that includes disease dynamics.
Author: July Pilowsky [aut, cre] , National Science Foundation Biology Integration Institute 2213854 [fnd]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

Diff between epizootic versions 1.0.0 dated 2024-10-02 and 2.0.0 dated 2025-11-12

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Permanent link

Package DER updated to version 1.3 with previous version 1.2 dated 2025-11-05

Title: Income Polarization Index
Description: Extremely fast and memory efficient computation of the DER (or PaF) income polarization index as proposed by Duclos J. Y., Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement, estimation". Econometrica, 72(6): 1737--1772. <doi:10.1111/j.1468-0262.2004.00552.x>. The index may be computed for a single or for a range of values of the alpha-parameter and bootstrapping is also available.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between DER versions 1.2 dated 2025-11-05 and 1.3 dated 2025-11-12

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New package deepspat with initial version 0.3.0
Package: deepspat
Title: Deep Compositional Spatial Models
Date: 2025-11-03
Version: 0.3.0
Maintainer: Quan Vu <quanvustats@gmail.com>
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using 'tensorflow', which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, and Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>.
License: Apache License 2.0
Imports: data.table, dplyr, Matrix, methods, reticulate, keras, tensorflow, tfprobability, evd, SpatialExtremes, fields
SystemRequirements: TensorFlow (https://www.tensorflow.org/),
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-08 05:51:13 UTC; vudan
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Repository: CRAN
Date/Publication: 2025-11-12 21:00:08 UTC

More information about deepspat at CRAN
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New package contoso with initial version 1.1.1
Package: contoso
Title: Dataset of the 'Contoso' Company
Version: 1.1.1
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indica [...truncated...]
License: MIT + file LICENSE
Imports: DBI, dplyr, cli, duckdb (>= 1.4.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/contoso/, https://github.com/usrbinr/contoso
BugReports: https://github.com/usrbinr/contoso/issues
NeedsCompilation: no
Packaged: 2025-11-09 02:23:30 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-12 21:00:15 UTC

More information about contoso at CRAN
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Package saros.base updated to version 1.2.0 with previous version 1.1.0 dated 2025-06-01

Title: Base Tools for Semi-Automatic Reporting of Ordinary Surveys
Description: Scaffold an entire web-based report using template chunks, based on a small chapter overview and a dataset. Highly adaptable with prefixes, suffixes, translations, etc. Also contains tools for password-protecting, e.g. for each organization's report on a website. Developed for the common case of a survey across multiple organizations/sites where each organization wants to obtain results for their organization compared with everyone else. See 'saros' (<https://CRAN.R-project.org/package=saros>) for tools used for authors in the drafted reports.
Author: Stephan Daus [aut, cre, cph] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros.base versions 1.1.0 dated 2025-06-01 and 1.2.0 dated 2025-11-12

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Package crt2power updated to version 1.2.2 with previous version 1.2.1 dated 2025-05-07

Title: Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes
Description: Provides methods for powering cluster-randomized trials with two continuous co-primary outcomes using five key design techniques. Includes functions for calculating required sample size and statistical power. For more details on methodology, see Owen et al. (2025) <doi:10.1002/sim.70015>, Yang et al. (2022) <doi:10.1111/biom.13692>, Pocock et al. (1987) <doi:10.2307/2531989>, Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Li et al. (2020) <doi:10.1111/biom.13212>.
Author: Melody Owen [aut, cre]
Maintainer: Melody Owen <melody.owen@yale.edu>

Diff between crt2power versions 1.2.1 dated 2025-05-07 and 1.2.2 dated 2025-11-12

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More information about crt2power at CRAN
Permanent link

Package PxWebApiData updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-08

Title: PX-Web Data by API
Description: Function to read PX-Web data into R via API. The example code reads data from the three national statistical institutes, Statistics Norway, Statistics Sweden and Statistics Finland.
Author: Oeyvind Langsrud [aut, cre], Jan Bruusgaard [aut], Solveig Bjoerkholt [ctb], Susie Jentoft [ctb]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package phenology updated to version 2025.11.12 with previous version 10.3 dated 2025-06-17

Title: Tools to Manage a Parametric Function that Describes Phenology and More
Description: Functions used to fit and test the phenology of species based on counts. Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the convolution of negative binomial, Girondot, M. and Rizzo, A. (2015) <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ..., Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate, Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020) <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.
Author: Marc Girondot [aut, cre]
Maintainer: Marc Girondot <marc.girondot@gmail.com>

Diff between phenology versions 10.3 dated 2025-06-17 and 2025.11.12 dated 2025-11-12

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Package DataSum updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-28

Title: Comprehensive Data Summarization for Statistical Analysis
Description: Summarizes data frames by calculating various statistics including central tendency, dispersion, shape, and normality diagnostics. Handles numeric, character, and factor columns with NA-aware computations.
Author: Immad Ahmad Shah [aut], Uzair Javid Khan [aut, cre], Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>

Diff between DataSum versions 0.1.0 dated 2024-08-28 and 0.1.1 dated 2025-11-12

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Package poems updated to version 1.4.0 with previous version 1.3.3 dated 2025-05-07

Title: Pattern-Oriented Ensemble Modeling System
Description: A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, [...truncated...]
Author: Sean Haythorne [aut], Damien Fordham [aut], Stuart Brown [aut] , Jessie Buettel [aut], Barry Brook [aut], July Pilowsky [aut, cre]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

Diff between poems versions 1.3.3 dated 2025-05-07 and 1.4.0 dated 2025-11-12

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Package nonparaeff updated to version 0.5-15 with previous version 0.5-13 dated 2022-06-20

Title: Nonparametric Methods for Measuring Efficiency and Productivity
Description: Efficiency and productivity indices are measured using this package. This package contains functions for measuring efficiency and productivity of decision making units (DMUs) under the framework of Data Envelopment Analysis (DEA) and its variations.
Author: Dong-hyun Oh [aut, cre], Dukrok Suh [aut]
Maintainer: Dong-hyun Oh <oh.donghyun77@gmail.com>

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Package loon.shiny updated to version 1.0.4 with previous version 1.0.3 dated 2022-10-08

Title: Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets
Description: Package 'shiny' provides interactive web applications in R. Package 'loon' is an interactive toolkit engaged in open-ended, creative and unscripted data exploration. The 'loon.shiny' package can take 'loon' widgets and display a selfsame 'shiny' app.
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@gmail.com>

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Package hyper2 updated to version 3.2 with previous version 3.1-0 dated 2024-05-31

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package gginnards updated to version 0.2.0-2 with previous version 0.2.0-1 dated 2024-11-13

Title: Explore the Innards of 'ggplot2' Objects
Description: Extensions to 'ggplot2' providing low-level debug tools: statistics and geometries echoing their data argument. Layer manipulation: deletion, insertion, extraction and reordering of layers. Deletion of unused variables from the data object embedded in "ggplot" objects.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package CFtime updated to version 1.7.2 with previous version 1.7.1 dated 2025-10-01

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package tgstat updated to version 2.3.29 with previous version 2.3.28 dated 2024-09-23

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package GeRnika updated to version 1.2.0 with previous version 1.1.0 dated 2025-03-27

Title: Simulation, Visualization and Comparison of Tumor Evolution Data
Description: Simulating, visualizing and comparing tumor clonal data by using simple commands. This aims at providing a tool to help researchers to easily simulate tumor data and analyze the results of their approaches for studying the composition and the evolutionary history of tumors.
Author: Aitor Sanchez-Ferrera [cre, aut] , Maitena Tellaetxe-Abete [aut] , Borja Calvo [aut]
Maintainer: Aitor Sanchez-Ferrera <aitor.sanchezf@ehu.eus>

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Package geodl updated to version 0.3.0 with previous version 0.2.0 dated 2024-08-20

Title: Geospatial Semantic Segmentation with Torch and Terra
Description: Provides tools for semantic segmentation of geospatial data using convolutional neural network-based deep learning. Utility functions allow for creating masks, image chips, data frames listing image chips in a directory, and DataSets for use within DataLoaders. Additional functions are provided to serve as checks during the data preparation and training process. A UNet architecture can be defined with 4 blocks in the encoder, a bottleneck block, and 4 blocks in the decoder. The UNet can accept a variable number of input channels, and the user can define the number of feature maps produced in each encoder and decoder block and the bottleneck. Users can also choose to (1) replace all rectified linear unit (ReLU) activation functions with leaky ReLU or swish, (2) implement attention gates along the skip connections, (3) implement squeeze and excitation modules within the encoder blocks, (4) add residual connections within all blocks, (5) replace the bottleneck with a modified atrous spati [...truncated...]
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut], Srinjoy Das [aut], Yalin Yang [aut]
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>

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Package CohortGenerator updated to version 1.0.0 with previous version 0.12.2 dated 2025-09-11

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Freddy Avila Cruz [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

Diff between CohortGenerator versions 0.12.2 dated 2025-09-11 and 1.0.0 dated 2025-11-12

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Permanent link

New package CircaCP with initial version 0.1.2
Package: CircaCP
Title: Sleep and Circadian Metrics Estimation from Actigraphy Data
Version: 0.1.2
Maintainer: Shanshan Chen <schen3@vcu.edu>
Description: A generic sleep–wake cycle detection algorithm for analyzing unlabeled actigraphy data. The algorithm has been validated against event markers using data from the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, and its methodological details are described in Chen and Sun (2024) <doi:10.1098/rsos.231468>. The package provides functions to estimate sleep metrics (e.g., sleep and wake onset times) and circadian rhythm metrics (e.g., mesor, phasor, interdaily stability, intradaily variability), as well as tools for screening actigraphy quality, fitting cosinor models, and performing parametric change point detection. The workflow can also be used to segment long actigraphy sequences into regularized structures for physical activity research.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, pracma, stats, tibble
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-11-08 20:12:09 UTC; schen3
Author: Shanshan Chen [aut, cre], Jonathon Jacobs [ctb]
Repository: CRAN
Date/Publication: 2025-11-12 11:10:02 UTC

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Package stevedata updated to version 1.8.0 with previous version 1.7.0 dated 2025-09-17

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

Diff between stevedata versions 1.7.0 dated 2025-09-17 and 1.8.0 dated 2025-11-12

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New package PhysioIndexR with initial version 0.1.0
Package: PhysioIndexR
Title: Physiological and Stress Indices for Crop Evaluation
Version: 0.1.0
Maintainer: Vinayaka <vinayaka.b3vs@gmail.com>
Description: Crop production systems are increasingly challenged by climate variability, resource limitations, and biotic–abiotic stresses. In this context, stress tolerance indices and physiological trait estimators are essential tools to identify stable and superior genotypes, quantify yield stability under stress versus non-stress conditions, and understand plant adaptive responses. The 'PhysioIndexR' package provides a unified framework to compute commonly used stress indices, physiological traits, and derived metrics that are critical in crop improvement, crop physiology, and other agricultural sciences. The package includes functions to calculate classical stress tolerance indices (See Lamba et al., 2023; <doi:10.1038/s41598-023-37634-8>) such as Tolerance (TOL), Stress Tolerance Index (STI), Stress Susceptibility Percentage Index (SSPI), Yield Index (YI), Yield Stability Index (YSI), Relative Stress Index (RSI), Mean Productivity (MP), Geometric Mean Productivity (GMP), Harmonic Mean ( [...truncated...]
Imports: stats
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2025-11-08 06:32:30 UTC; user
Author: Vinayaka [aut, cre] , Vengavasi Krishnapriya [aut, ctb] , T. Lakshmi Pathy [aut, ctb] , Amaresh [aut, ctb] , K. Gopalareddy [aut, ctb] , G.S. Suresha [aut, ctb] , P. Govindaraj [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-12 10:50:01 UTC

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Package meteospain updated to version 0.3.0 with previous version 0.2.2 dated 2025-10-01

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb], Ruben Fernandez-Casal [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package AssumpSure updated to version 1.1.3 with previous version 1.1.2 dated 2025-10-19

Title: 'shiny' Application for Statistical Test Assumption Checking and Guidance
Description: A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.
Author: Ahmed Bargheet [aut, cre]
Maintainer: Ahmed Bargheet <ahmed.bargheet@yahoo.com>

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Package statgenGxE updated to version 1.0.11 with previous version 1.0.10 dated 2025-06-24

Title: Genotype by Environment (GxE) Analysis
Description: Analysis of multi environment data of plant breeding experiments following the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013), <doi:10.3389/fphys.2013.00044>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package rmake updated to version 1.2.1 with previous version 1.2.0 dated 2025-08-26

Title: Makefile Generator for R Analytical Projects
Description: Creates and maintains a build process for complex analytic tasks in R. Package allows to easily generate Makefile for the (GNU) 'make' tool, which drives the build process by (in parallel) executing build commands in order to update results accordingly to given dependencies on changed data or updated source files.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package digest updated to version 0.6.38 with previous version 0.6.37 dated 2024-08-19

Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.
Author: Dirk Eddelbuettel [aut, cre] , Antoine Lucas [ctb] , Jarek Tuszynski [ctb], Henrik Bengtsson [ctb] , Simon Urbanek [ctb] , Mario Frasca [ctb], Bryan Lewis [ctb], Murray Stokely [ctb], Hannes Muehleisen [ctb] , Duncan Murdoch [ctb], Jim Hester [ctb] , [...truncated...]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package TransGraph updated to version 1.1.0 with previous version 1.0.0 dated 2023-10-19

Title: Transfer Graph Learning
Description: Transfer learning, aiming to use auxiliary domains to help improve learning of the target domain of interest when multiple heterogeneous datasets are available, has been a hot topic in statistical machine learning. The recent transfer learning methods with statistical guarantees mainly focus on the overall parameter transfer for supervised models in the ideal case with the informative auxiliary domains with overall similarity. In contrast, transfer learning for unsupervised graph learning is in its infancy and largely follows the idea of overall parameter transfer as for supervised learning. In this package, the transfer learning for several complex graphical models is implemented, including Tensor Gaussian graphical models, non-Gaussian directed acyclic graph (DAG), and Gaussian graphical mixture models. Notably, this package promotes local transfer at node-level and subgroup-level in DAG structural learning and Gaussian graphical mixture models, respectively, which are more flexible [...truncated...]
Author: Mingyang Ren [aut, cre] , Ruixuan Zhao [aut], Xin He [aut], Junhui Wang [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>

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Package sspse updated to version 1.1.0-6 with previous version 1.1.0-4 dated 2025-11-06

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.
Author: Mark S. Handcock [aut, cre, cph] , Krista J. Gile [aut, cph], Brian Kim [ctb], Katherine R. McLaughlin [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package r2resize updated to version 2.0 with previous version 1.9.2 dated 2024-11-25

Title: In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Description: Offers a suite of tools designed to enhance the responsiveness and interactivity of web-based documents and applications created with R. It provides an automatic, configurable resizing toolbar that can be seamlessly integrated with HTML elements such as containers, images, and tables, allowing end-users to dynamically adjust their dimensions. Beyond the toolbar, the package includes a rich collection of flexible, expandable, and interactive container functionalities, such as highly customizable split-screen layouts (splitCard), versatile sizeable cards (sizeableCard), dynamic window-like elements (windowCard), visually engaging emphasis cards (empahsisCard), and sophisticated flexible and elastic card layouts (flexCard, elastiCard). Furthermore, it offers an elegant image viewer and resizer (shinyExpandImage) perfect for interactive galleries. r2resize is particularly well-suited for developers and data scientists looking to create modern, responsive, and user-friendly 'shiny' applicat [...truncated...]
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package MMGFM updated to version 1.2.1 with previous version 1.2.0 dated 2025-07-29

Title: Multi-Study Multi-Modality Generalized Factor Model
Description: We introduce a generalized factor model designed to jointly analyze high-dimensional multi-modality data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among modality variables with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors. More details can be referred to Liu et al. (2025) <doi:10.48550/arXiv.2507.09889>.
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>

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Package lolliplot (with last version 0.2.2) was removed from CRAN

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

2023-01-26 0.2.2

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Package treestats updated to version 1.70.8 with previous version 1.70.7 dated 2025-09-11

Title: Phylogenetic Tree Statistics
Description: Collection of phylogenetic tree statistics, collected throughout the literature. All functions have been written to maximize computation speed. The package includes umbrella functions to calculate all statistics, all balance associated statistics, or all branching time related statistics. Furthermore, the 'treestats' package supports summary statistic calculations on Ltables, provides speed-improved coding of branching times, Ltable conversion and includes algorithms to create intermediately balanced trees. Full description can be found in Janzen (2024) <doi:10.1016/j.ympev.2024.108168>.
Author: Thijs Janzen [cre, aut]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package reshape2 updated to version 1.4.5 with previous version 1.4.4 dated 2020-04-09

Title: Flexibly Reshape Data: A Reboot of the Reshape Package
Description: Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Author: Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package NPCirc updated to version 3.1.2 with previous version 3.1.1 dated 2022-11-10

Title: Nonparametric Circular Methods
Description: Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.
Author: Maria Alonso-Pena [aut, cre], Maria Oliveira [aut], Jose Ameijeiras-Alonso [aut], Rosa M. Crujeiras [aut], Irene Gijbels [aut], Alberto Rodriguez-Casal [aut], Felicita Scapini [dtc]
Maintainer: Maria Alonso-Pena <mariaalonso.pena@usc.es>

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 NPCirc-3.1.2/NPCirc/man/bw.circ.local.lik.Rd         |    4 -
 NPCirc-3.1.2/NPCirc/man/bw.pi.Rd                     |    2 
 NPCirc-3.1.2/NPCirc/man/bw.reg.circ.lin.Rd           |    4 -
 NPCirc-3.1.2/NPCirc/man/bw.rt.Rd                     |    2 
 NPCirc-3.1.2/NPCirc/man/circ.local.lik.Rd            |    4 -
 NPCirc-3.1.2/NPCirc/man/circsizer.density.Rd         |    2 
 NPCirc-3.1.2/NPCirc/man/circsizer.regression.Rd      |    2 
 NPCirc-3.1.2/NPCirc/man/dcircmix.Rd                  |    2 
 NPCirc-3.1.2/NPCirc/man/dpreg.circ.Rd                |    4 -
 NPCirc-3.1.2/NPCirc/man/dwsn.Rd                      |    4 -
 NPCirc-3.1.2/NPCirc/man/kern.den.circ.Rd             |    6 -
 NPCirc-3.1.2/NPCirc/man/kern.dpreg.circ.Rd           |    4 -
 NPCirc-3.1.2/NPCirc/man/kern.reg.circ.lin.Rd         |    6 -
 NPCirc-3.1.2/NPCirc/man/lines.regression.circular.Rd |    4 -
 NPCirc-3.1.2/NPCirc/man/modalreg.circ.lin.Rd         |    6 -
 NPCirc-3.1.2/NPCirc/man/noeffect.circ.lin.Rd         |    4 -
 NPCirc-3.1.2/NPCirc/man/plot.regression.circular.Rd  |    4 -
 NPCirc-3.1.2/NPCirc/src/Makevars                     |   12 ---
 NPCirc-3.1.2/NPCirc/src/Makevars.win                 |   12 ---
 37 files changed, 140 insertions(+), 121 deletions(-)

More information about NPCirc at CRAN
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Package mlt updated to version 1.7-2 with previous version 1.7-1 dated 2025-10-31

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.7-1 dated 2025-10-31 and 1.7-2 dated 2025-11-12

 DESCRIPTION       |    8 ++++----
 MD5               |   10 +++++-----
 R/R.R             |    2 +-
 build/partial.rdb |binary
 inst/NEWS.Rd      |   10 ++++++++++
 man/R.Rd          |    3 ++-
 6 files changed, 22 insertions(+), 11 deletions(-)

More information about mlt at CRAN
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