Tue, 26 Aug 2025

Package screenshot updated to version 0.9.2 with previous version 0.9.1 dated 2024-05-29

Title: Take Screenshots (Screen Capture) from R Command
Description: Take screenshots from R command and locate an image position.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

Diff between screenshot versions 0.9.1 dated 2024-05-29 and 0.9.2 dated 2025-08-26

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Package scitb updated to version 0.2.2 with previous version 0.2.1 dated 2024-09-25

Title: Provides Some Useful Functions for Making Statistical Tables
Description: You can use the functions provided by the package to make various statistical tables, such as baseline data tables. Creates 'Table 1', i.e., a description of the baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. This method was described by Mary L McHugh (2013) <doi:10.11613/bm.2013.018>.
Author: Qiang Liu [aut, cre]
Maintainer: Qiang Liu <dege857@163.com>

Diff between scitb versions 0.2.1 dated 2024-09-25 and 0.2.2 dated 2025-08-26

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Package MKMeans updated to version 3.3 with previous version 3.2 dated 2025-08-20

Title: A Modern K-Means (MKMeans) Clustering Algorithm
Description: It's a Modern K-Means clustering algorithm which works for data of any number of dimensions, has no limit with number of clusters expected, and can start with any initial cluster centers.
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>

Diff between MKMeans versions 3.2 dated 2025-08-20 and 3.3 dated 2025-08-26

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Package exametrika updated to version 1.6.1 with previous version 1.6.0 dated 2025-08-19

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between exametrika versions 1.6.0 dated 2025-08-19 and 1.6.1 dated 2025-08-26

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Package segregatr updated to version 0.5.0 with previous version 0.4.0 dated 2024-06-28

Title: Segregation Analysis for Variant Interpretation
Description: An implementation of the full-likelihood Bayes factor (FLB) for evaluating segregation evidence in clinical medical genetics. The method was introduced by Thompson et al. (2003) <doi:10.1086/378100>. This implementation supports custom penetrance values and liability classes, and allows visualisations and robustness analysis as presented in Ratajska et al. (2023) <doi:10.1002/mgg3.2107>. See also the online app 'shinyseg', <https://chrcarrizosa.shinyapps.io/shinyseg>, which offers interactive segregation analysis with many additional features (Carrizosa et al. (2024) <doi:10.1093/bioinformatics/btae201>).
Author: Magnus Dehli Vigeland [aut, cre] , Christian Carrizosa [aut]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between segregatr versions 0.4.0 dated 2024-06-28 and 0.5.0 dated 2025-08-26

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Package kSamples updated to version 1.2-12 with previous version 1.2-10 dated 2023-10-07

Title: K-Sample Rank Tests and their Combinations
Description: Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Author: Fritz Scholz [aut, cre], Angie Zhu [aut]
Maintainer: Fritz Scholz <fscholz@u.washington.edu>

Diff between kSamples versions 1.2-10 dated 2023-10-07 and 1.2-12 dated 2025-08-26

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Package fad updated to version 0.9-3 with previous version 0.9-1 dated 2022-05-01

Title: Factor Analysis for Data
Description: Compute maximum likelihood estimators of parameters in a Gaussian factor model using the the matrix-free methodology described in Dai et al. (2020) <doi:10.1080/10618600.2019.1704296>. In contrast to the factanal() function from 'stats' package, fad() can handle high-dimensional datasets where number of variables exceed the sample size and is also substantially faster than the EM algorithms.
Author: Somak Dutta [aut, cre], Fan Dai [aut], Ranjan Maitra [ctb]
Maintainer: Somak Dutta <somakd@iastate.edu>

Diff between fad versions 0.9-1 dated 2022-05-01 and 0.9-3 dated 2025-08-26

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Package crosstalk updated to version 1.2.2 with previous version 1.2.1 dated 2023-11-23

Title: Inter-Widget Interactivity for HTML Widgets
Description: Provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static .html files). Currently supports linked brushing and filtering.
Author: Joe Cheng [aut], Carson Sievert [aut, cre] , Posit Software, PBC [cph, fnd], jQuery Foundation [cph] , jQuery contributors [ctb, cph] , Mark Otto [ctb] , Jacob Thornton [ctb] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Brian Reavis [ctb, cp [...truncated...]
Maintainer: Carson Sievert <carson@posit.co>

Diff between crosstalk versions 1.2.1 dated 2023-11-23 and 1.2.2 dated 2025-08-26

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Package basicdrm updated to version 0.3.2 with previous version 0.3.0 dated 2024-04-26

Title: Fit Hill Dose Response Models
Description: Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters.
Author: Anang Shelat [aut], Nathaniel Twarog [aut, cre]
Maintainer: Nathaniel Twarog <nathaniel.twarog@stjude.org>

Diff between basicdrm versions 0.3.0 dated 2024-04-26 and 0.3.2 dated 2025-08-26

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Package animation updated to version 2.8 with previous version 2.7 dated 2021-10-07

Title: A Gallery of Animations in Statistics and Utilities to Create Animations
Description: Provides functions for animations in statistics, covering topics in probability theory, mathematical statistics, multivariate statistics, non-parametric statistics, sampling survey, linear models, time series, computational statistics, data mining and machine learning. These functions may be helpful in teaching statistics and data analysis. Also provided in this package are a series of functions to save animations to various formats, e.g. Flash, 'GIF', HTML pages, 'PDF' and videos. 'PDF' animations can be inserted into 'Sweave' / 'knitr' easily.
Author: Yihui Xie [aut, cre] , Christian Mueller [ctb], Lijia Yu [ctb], Xinyuan Chu [ctb], Weicheng Zhu [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between animation versions 2.7 dated 2021-10-07 and 2.8 dated 2025-08-26

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Package persval updated to version 1.1.2 with previous version 1.1.1 dated 2024-09-25

Title: Computing Personal Values Scores
Description: Compute personal values scores from various questionnaires based on the theoretical constructs proposed by professor Shalom H. Schwartz. Designed for researchers and practitioners in psychology, sociology, and related fields, the package facilitates the quantification and visualization of different dimensions related to personal values from survey data. It incorporates the recommended statistical adjustment to enhance the accuracy and interpretation of the results.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

Diff between persval versions 1.1.1 dated 2024-09-25 and 1.1.2 dated 2025-08-26

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Package sae2 updated to version 1.2-2 with previous version 1.2-1 dated 2023-08-23

Title: Small Area Estimation: Time-Series Models
Description: Time series area-level models for small area estimation. The package supplements the functionality of the sae package. Specifically, it includes EBLUP fitting of the Rao-Yu model in the original form without a spatial component. The package also offers a modified ("dynamic") version of the Rao-Yu model, replacing the assumption of stationarity. Both univariate and multivariate applications are supported. Of particular note is the allowance for covariance of the area-level sample estimates over time, as encountered in rotating panel designs such as the U.S. National Crime Victimization Survey or present in a time-series of 5-year estimates from the American Community Survey. Key references to the methods include J.N.K. Rao and I. Molina (2015, ISBN:9781118735787), J.N.K. Rao and M. Yu (1994) <doi:10.2307/3315407>, and R.E. Fay and R.A. Herriot (1979) <doi:10.1080/01621459.1979.10482505>.
Author: Robert Fay [aut, cre], Mamadou Diallo [aut]
Maintainer: Robert Fay <bobfay@hotmail.com>

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Package filtro updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-18

Title: Feature Selection Using Supervised Filter-Based Methods
Description: Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) <doi:10.1201/9781315108230>).
Author: Frances Lin [aut, cre], Max Kuhn [aut] , Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Frances Lin <franceslinyc@gmail.com>

Diff between filtro versions 0.1.0 dated 2025-07-18 and 0.2.0 dated 2025-08-26

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Package XML2R updated to version 0.0.9 with previous version 0.0.8 dated 2024-06-04

Title: Easier XML Data Collection
Description: Helpers for transforming XML content into number of tables while preserving parent to child relationships.
Author: Carson Sievert [aut, cre]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

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Package treasury updated to version 0.4.0 with previous version 0.3.0 dated 2025-07-10

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package mverse updated to version 0.2.3 with previous version 0.2.2 dated 2025-06-21

Title: Tidy Multiverse Analysis Made Simple
Description: Extends 'multiverse' package (Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm>, which allows users perform to create explorable multiverse analysis in R. This extension provides an additional level of abstraction to the 'multiverse' package with the aim of creating user friendly syntax to researchers, educators, and students in statistics. The 'mverse' syntax is designed to allow piping and takes hints from the 'tidyverse' grammar. The package allows users to define and inspect multiverse analysis using familiar syntax in R.
Author: Michael Jongho Moon [aut, cre], Haoda Li [aut], Mingwei Xu [aut], Nathan Taback [aut], Fanny Chevalier [aut], Alison Gibbs [ctb]
Maintainer: Michael Jongho Moon <michael.moon@utoronto.ca>

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Package momentfit updated to version 1.0 with previous version 0.5 dated 2023-06-05

Title: Methods of Moments
Description: Several classes for moment-based models are defined. The classes are defined for moment conditions derived from a single equation or a system of equations. The conditions can also be expressed as functions or formulas. Several methods are also offered to facilitate the development of different estimation techniques. The methods that are currently provided are the Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), for single equations and systems of equation, and the Generalized Empirical Likelihood (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>). Some work is being done to add tools to deal with weak and/or many instruments. This includes K-Class estimators (Limited Information Maximum Likelihood and Fuller), Anderson and Rubin statistic test, etc.
Author: Pierre Chausse [aut, cre]
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>

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Package FLASHMM updated to version 1.2.3 with previous version 1.2.2 dated 2025-08-19

Title: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
Description: A fast and scalable linear mixed-effects model (LMM) estimation algorithm for analysis of single-cell differential expression. The algorithm uses summary-level statistics and requires less computer memory to fit the LMM.
Author: Changjiang Xu [aut, cre], Delaram Pouyabahar [ctb], Veronique Voisin [ctb], Gary Bader [ctb]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>

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Package CSHShydRology updated to version 1.4.3 with previous version 1.4.2 dated 2024-07-16

Title: Canadian Hydrological Analyses
Description: A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
Author: Kevin Shook [cre, aut], Paul Whitfield [aut], Robert Chlumsky [aut], Daniel Moore [aut], Martin Durocher [aut], Matthew Lemieux [ctb], Jason Chiang [ctb], Joel Trubilowicz [ctb], SJ Kim [ctb]
Maintainer: Kevin Shook <kevin.shook@usask.ca>

Diff between CSHShydRology versions 1.4.2 dated 2024-07-16 and 1.4.3 dated 2025-08-26

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Package BoneDensityMapping updated to version 0.1.3 with previous version 0.1.2 dated 2025-07-28

Title: Maps Bone Densities from CT Scans to Surface Models
Description: Allows local bone density estimates to be derived from CT data and mapped to 3D bone models in a reproducible manner. Processing can be performed at the individual bone or group level. Also includes tools for visualizing the bone density estimates. Example methods are described in Telfer et al., (2021) <doi:10.1002/jor.24792>, Telfer et al., (2021) <doi:10.1016/j.jse.2021.05.011>.
Author: Scott Telfer [aut, cre, cph] , Lucas Lacambra [aut]
Maintainer: Scott Telfer <scott.telfer@gmail.com>

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New package WarnEpi with initial version 1.0.1
Package: WarnEpi
Title: A Comprehensive Tool for Early Warning in Infectious Disease
Version: 1.0.1
Description: Infectious disease surveillance requires early outbreak detection. This package provides statistical tools for analyzing time-series monitoring data through three core methods: a) EWMA (Exponentially Weighted Moving Average) b) Modified-CUSUM (Modified Cumulative Sum) c) Adjusted-Serfling models Methodologies are based on: - Wang et al. (2010) <doi:10.1016/j.jbi.2009.08.003> - Wang et al. (2015) <doi:10.1371/journal.pone.0119923> Designed for epidemiologists and public health researchers working with disease surveillance systems.
Language: en
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
URL: https://github.com/pan-mingyue/WarnEpi
BugReports: https://github.com/pan-mingyue/WarnEpi/issues
NeedsCompilation: no
Packaged: 2025-08-21 07:37:06 UTC; panmingyue
Author: Xiaoli Wang [aut], Mingyue Pan [aut, cre]
Maintainer: Mingyue Pan <panmyue18@163.com>
Repository: CRAN
Date/Publication: 2025-08-26 19:50:07 UTC

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Package vcrpart updated to version 1.0-7 with previous version 1.0-6 dated 2024-10-04

Title: Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models
Description: Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression. A description of a part of this package was published by Burgin and Ritschard (2017) <doi:10.18637/jss.v080.i06>.
Author: Reto Burgin [aut, cre] , Gilbert Ritschard [ctb]
Maintainer: Reto Burgin <rbuergin@gmx.ch>

Diff between vcrpart versions 1.0-6 dated 2024-10-04 and 1.0-7 dated 2025-08-26

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New package utest with initial version 0.4.0
Package: utest
Title: Lind/Mehlum Utest
Version: 0.4.0
Description: An implementation of Lind and Mehlum's (2010) <doi:10.1111/j.1468-0084.2009.00569.x> Utest to test for the presence of a U shaped or inverted U shaped relationship between variables in (generalized) linear models. It also implements a test of upward/downward sloping relationships at the lower and upper boundary of the data range.
URL: https://github.com/jotlind/utest
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-08-21 08:13:52 UTC; jlind
Author: Jo Thori Lind [aut, cre] , Halvor Mehlum [aut]
Maintainer: Jo Thori Lind <j.t.lind@econ.uio.no>
Repository: CRAN
Date/Publication: 2025-08-26 19:50:02 UTC

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New package unfold with initial version 1.0.0
Package: unfold
Title: Mapping Hidden Geometry into Future Sequences
Version: 1.0.0
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: A variational mapping approach that reveals and expands future temporal dynamics from folded high-dimensional geometric distance spaces, unfold turns a set of time series into a 4D block of pairwise distances between reframed windows, learns a variational mapper that maps those distances to the next reframed window, and produces horizon-wise predictive functions for each input series. In short: it unfolds the future path of each series from a folded geometric distance representation.
License: GPL-3
LazyData: true
Imports: torch (>= 0.11.0), purrr (>= 1.0.1), imputeTS (>= 3.3), lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0), abind (>= 1.4-5), coro (>= 1.1.0)
Encoding: UTF-8
URL: https://rpubs.com/giancarlo_vercellino/unfold
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-08-21 04:34:45 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-08-26 19:30:02 UTC

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New package mlspatial with initial version 0.1.0
Package: mlspatial
Title: Machine Learning and Mapping for Spatial Epidemiology
Version: 0.1.0
Description: Provides tools for the integration, visualisation, and modelling of spatial epidemiological data using the method described in Azeez, A., & Noel, C. (2025). 'Predictive Modelling and Spatial Distribution of Pancreatic Cancer in Africa Using Machine Learning-Based Spatial Model' <doi:10.5281/zenodo.16529986> and <doi:10.5281/zenodo.16529016>. It facilitates the analysis of geographic health data by combining modern spatial mapping tools with advanced machine learning (ML) algorithms. 'mlspatial' enables users to import and pre-process shapefile and associated demographic or disease incidence data, generate richly annotated thematic maps, and apply predictive models, including Random Forest, 'XGBoost', and Support Vector Regression, to identify spatial patterns and risk factors. It is suited for spatial epidemiologists, public health researchers, and GIS analysts aiming to uncover hidden geographic patterns in health-related outcomes and inform evidence-based intervention [...truncated...]
Suggests: knitr, rmarkdown, tidyr, kernlab, writexl, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1)
Imports: sf, readxl, dplyr, ggplot2, randomForest, xgboost, e1071, caret, tmap, spdep, ggpubr, stats, methods
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-21 07:19:53 UTC; azeez
Author: Adeboye Azeez [aut, cre], Colin Noel [aut]
Maintainer: Adeboye Azeez <azizadeboye@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-26 19:40:02 UTC

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New package JapanAPIs with initial version 0.1.0
Package: JapanAPIs
Title: Access Japanese Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Japan, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on Japan, covering topics such as natural disasters, economic production, vehicle industry, air quality, demographics, and administrative divisions. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/japanapis, https://lightbluetitan.github.io/japanapis/
BugReports: https://github.com/lightbluetitan/japanapis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-21 02:52:15 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-26 19:30:07 UTC

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New package E2E with initial version 0.0.3
Package: E2E
Title: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Version: 0.0.3
Description: Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://xiaojie0519.github.io/E2E/
BugReports: https://github.com/xiaojie0519/E2E/issues
Imports: caret, dplyr, gbm, ggplot2, glmnet, magrittr, MASS, patchwork, pROC, PRROC, randomForestSRC, readr, RSNNS, shapviz, survcomp, survival, survivalROC, survminer, timeROC, xgboost
Suggests: ada, doParallel, e1071, kernlab, klaR, knitr, nnet, randomForest, RColorBrewer, rmarkdown, rpart
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Language: en
NeedsCompilation: no
Packaged: 2025-08-21 03:11:50 UTC; Lenovo
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>
Repository: CRAN
Date/Publication: 2025-08-26 19:30:14 UTC

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New package ChinAPIs with initial version 0.1.0
Package: ChinAPIs
Title: Access Chinese Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to China, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on China and Hong Kong, covering topics such as air quality, demographics, input-output tables, epidemiology, political structure, names, and social indicators. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/chinapis, https://lightbluetitan.github.io/chinapis/
BugReports: https://github.com/lightbluetitan/chinapis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-21 07:01:54 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-26 19:40:07 UTC

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Package cheem updated to version 0.4.1 with previous version 0.4.0.0 dated 2023-11-08

Title: Interactively Explore Local Explanations with the Radial Tour
Description: Given a non-linear model, calculate the local explanation. We purpose view the data space, explanation space, and model residuals as ensemble graphic interactive on a shiny application. After an observation of interest is identified, the normalized variable importance of the local explanation is used as a 1D projection basis. The support of the local explanation is then explored by changing the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.
Author: Nicholas Spyrison [aut, cre]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

Diff between cheem versions 0.4.0.0 dated 2023-11-08 and 0.4.1 dated 2025-08-26

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Package rliger updated to version 2.2.1 with previous version 2.2.0 dated 2025-05-01

Title: Linked Inference of Genomic Experimental Relationships
Description: Uses an extension of nonnegative matrix factorization to identify shared and dataset-specific factors. See Welch J, Kozareva V, et al (2019) <doi:10.1016/j.cell.2019.05.006>, and Liu J, Gao C, Sodicoff J, et al (2020) <doi:10.1038/s41596-020-0391-8> for more details.
Author: Joshua Welch [aut], Yichen Wang [aut, cre], Chao Gao [aut], Jialin Liu [aut], Joshua Sodicoff [aut, ctb], Velina Kozareva [aut, ctb], Evan Macosko [aut, ctb], Paul Hoffman [ctb], Ilya Korsunsky [ctb], Robert Lee [ctb], Andrew Robbins [ctb]
Maintainer: Yichen Wang <wayichen@umich.edu>

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Package FlexParamCurve updated to version 1.5-7 with previous version 1.5-6 dated 2023-12-10

Title: Tools to Fit Flexible Parametric Curves
Description: Model selection tools and 'selfStart' functions to fit parametric curves in 'nls', 'nlsList' and 'nlme' frameworks.
Author: Stephen Oswald [aut, cre]
Maintainer: Stephen Oswald <steve.oswald@psu.edu>

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Package rprojroot updated to version 2.1.1 with previous version 2.1.0 dated 2025-07-12

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Mueller [aut, cre]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package milorGWAS updated to version 0.7.1 with previous version 0.7 dated 2024-06-21

Title: Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS)
Description: Fast approximate methods for mixed logistic regression in genome-wide analysis studies (GWAS). Two computationnally efficient methods are proposed for obtaining effect size estimates (beta) in Mixed Logistic Regression in GWAS: the Approximate Maximum Likelihood Estimate (AMLE), and the Offset method. The wald test obtained with AMLE is identical to the score test. Data can be genotype matrices in plink format, or dosage (VCF files). The methods are described in details in Milet et al (2020) <doi:10.1101/2020.01.17.910109>.
Author: Herve Perdry [cre, aut], Jacqueline Milet [aut]
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>

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Package grates updated to version 1.6.0 with previous version 1.5.0 dated 2025-04-28

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package vegan3d updated to version 1.4-1 with previous version 1.4-0 dated 2025-02-20

Title: Static and Dynamic 3D and Editable Interactive Plots for the 'vegan' Package
Description: Static and dynamic 3D plots to be used with ordination results and in diversity analysis, especially with the vegan package.
Author: Jari Oksanen [aut, cre], Roeland Kindt [aut], Gavin L. Simpson [aut], Duncan Murdoch [ctb]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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Package traumar updated to version 1.2.2 with previous version 1.2.1 dated 2025-06-24

Title: Calculate Metrics for Trauma System Performance
Description: Hospitals, hospital systems, and even trauma systems that provide care to injured patients may not be aware of robust metrics that can help gauge the efficacy of their programs in saving the lives of injured patients. 'traumar' provides robust functions driven by the academic literature to automate the calculation of relevant metrics to individuals desiring to measure the performance of their trauma center or even a trauma system. 'traumar' also provides some helper functions for the data analysis journey. Users can refer to the following publications for descriptions of the methods used in 'traumar'. TRISS methodology, including probability of survival, and the W, M, and Z Scores - Flora (1978) <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and Champion et al. (1989) <doi:10.1097/00005373-198905000- [...truncated...]
Author: Nicolas Foss [aut, cre], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

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Package surveysd updated to version 2.0.0 with previous version 1.3.1 dated 2022-12-19

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] , Eileen Vattheuer [aut], Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

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Package rasterList updated to version 0.5.21 with previous version 0.5.20 dated 2023-08-17

Title: A Raster Where Cells are Generic Objects
Description: A S4 class has been created such that complex operations can be executed on each cell of a raster map. The raster of objects contains a raster map with the addition of a list of generic objects: one object for each raster cells. It allows to write few lines of R code for complex map algebra. Two environmental applications about frequency analysis of raster map of precipitation and creation of a raster map of soil water retention curves have been presented.
Author: Emanuele Cordano [aut, cre]
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

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Package mlr3oml updated to version 0.11.0 with previous version 0.10.1 dated 2025-07-24

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface with more upload options, see the 'OpenML' package.
Author: Michel Lang [aut] , Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package MAMS updated to version 3.0.3 with previous version 3.0.2 dated 2025-06-05

Title: Designing Multi-Arm Multi-Stage Studies
Description: Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Author: Thomas Jaki [aut, cre] , Dominique-Laurent Couturier [aut] , Dominic Magirr [aut], Nikita Mozgunov [aut] , Philip Pallmann [aut]
Maintainer: Thomas Jaki <thomas.jaki@pm.me>

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Package LNPar updated to version 1.1.2 with previous version 1.1.1 dated 2025-04-02

Title: Estimation and Testing for a Lognormal-Pareto Mixture
Description: Estimates a lognormal-Pareto mixture by means of the Expectation-Conditional-Maximization-Either algorithm and by maximizing the profile likelihood function. A likelihood ratio test for discriminating between lognormal and Pareto tail is also implemented. See Bee, M. (2022) <doi:10.1007/s11634-022-00497-4>.
Author: Marco Bee [aut, cre]
Maintainer: Marco Bee <marco.bee@unitn.it>

Diff between LNPar versions 1.1.1 dated 2025-04-02 and 1.1.2 dated 2025-08-26

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Package gmm updated to version 1.9-1 with previous version 1.8 dated 2023-06-06

Title: Generalized Method of Moments and Generalized Empirical Likelihood
Description: It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
Author: Pierre Chausse [aut, cre]
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>

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Package causalSLSE updated to version 0.4 with previous version 0.3-1 dated 2024-01-17

Title: Semiparametric Least Squares Inference for Causal Effects
Description: Several causal effects are measured using least squares regressions and basis function approximations. Backward and forward selection methods based on different criteria are used to select the basis functions.
Author: Pierre Chausse Developer [aut, cre], Mihai Giurcanu Developer [aut]
Maintainer: Pierre Chausse Developer <pchausse@uwaterloo.ca>

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New package spatialCatalogueViewer with initial version 0.1.2
Package: spatialCatalogueViewer
Title: A 'Shiny' Tool to Create Interactive Catalogues for Geospatial Data
Version: 0.1.2
Date: 2025-08-21
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: Seamlessly create interactive online catalogues for geospatial data. Items can be mapped as points or areas and retrieved using either a map or a dynamic table with search form and optional column filters.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: leaflet, leaflet.extras, shiny, shinythemes, DT,
Depends: R (>= 4.1.0)
URL: https://github.com/sebastien-plutniak/spatialCatalogueViewer
BugReports: https://github.com/sebastien-plutniak/spatialCatalogueViewer/issues
NeedsCompilation: no
Packaged: 2025-08-20 22:41:48 UTC; seb
Date/Publication: 2025-08-26 14:20:02 UTC

More information about spatialCatalogueViewer at CRAN
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Package shiny.telemetry updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-15

Title: 'Shiny' App Usage Telemetry
Description: Enables instrumentation of 'Shiny' apps for tracking user session events such as input changes, browser type, and session duration. These events can be sent to any of the available storage backends and analyzed using the included 'Shiny' app to gain insights about app usage and adoption.
Author: Andre Verissimo [aut, cre], Kamil Zyla [aut], Krystian Igras [aut], Recle Vibal [aut], Arun Kodati [aut], Wahaduzzaman Khan [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Andre Verissimo <opensource+andre@appsilon.com>

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Package mlr3torch updated to version 0.3.1 with previous version 0.3.0 dated 2025-07-07

Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] , Bernd Bischl [ctb] , Lukas Burk [ctb] , Martin Binder [aut], Florian Pfisterer [ctb] , Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3torch versions 0.3.0 dated 2025-07-07 and 0.3.1 dated 2025-08-26

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New package matrixCorr with initial version 0.3.1
Package: matrixCorr
Title: Collection of Correlation and Association Estimators
Version: 0.3.1
Description: Compute correlation and other association matrices from small to very large datasets with simple, 'cor()'-like functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised 'C++' backends using 'BLAS'/'OpenMP' and memory-aware symmetric updates. Works with base matrices and data frames, returning standard 'R' objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11, Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2 (>= 3.5.2)
Suggests: knitr, rmarkdown, testthat, MASS, Matrix, viridisLite
URL: https://github.com/Prof-ThiagoOliveira/matrixCorr
BugReports: https://github.com/Prof-ThiagoOliveira/matrixCorr/issues
NeedsCompilation: yes
Packaged: 2025-08-20 21:16:13 UTC; ThiagoOliveira
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <toliveira@abacusbio.com>
Repository: CRAN
Date/Publication: 2025-08-26 14:20:12 UTC

More information about matrixCorr at CRAN
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Package invivoPKfit updated to version 2.0.2 with previous version 2.0.1 dated 2025-03-24

Title: Fits Toxicokinetic Models to In Vivo PK Data Sets
Description: Takes in vivo toxicokinetic concentration-time data and fits parameters of 1-compartment and 2-compartment models for each chemical. These methods are described in detail in "Informatics for Toxicokinetics" (2025).
Author: John Wambaugh [aut, cre] , Caroline Ring [aut] , Gilberto Padilla Mercado [aut] , Chris Cook [aut]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>

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New package IndiAPIs with initial version 0.1.0
Package: IndiAPIs
Title: Access Indian Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to India, such as economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on India, covering topics such as population, economy, weather, politics, health, biodiversity, sports, agriculture, cybercrime, infrastructure, and more. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/indiapis, https://lightbluetitan.github.io/indiapis/
BugReports: https://github.com/lightbluetitan/indiapis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-20 19:22:31 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-26 14:10:15 UTC

More information about IndiAPIs at CRAN
Permanent link

New package CATAcode with initial version 1.0.0
Package: CATAcode
Title: Explore and Code Responses to Check-All-that-Apply Survey Items
Version: 1.0.0
Description: Analyzing responses to check-all-that-apply survey items often requires data transformations and subjective decisions for combining categories. 'CATAcode' contains tools for exploring response patterns, facilitating data transformations, applying a set of decision rules for coding responses, and summarizing response frequencies.
License: GPL (>= 3)
URL: https://github.com/knickodem/CATAcode
BugReports: https://github.com/knickodem/CATAcode/issues
Depends: R (>= 3.6)
Imports: rlang, dplyr (>= 1.1.0), tidyr, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-20 20:40:00 UTC; nicko013
Author: Kyle Nickodem [aut, cre] , Gabriel J. Merrin [aut]
Maintainer: Kyle Nickodem <kyle.nickodem@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-26 14:20:17 UTC

More information about CATAcode at CRAN
Permanent link

Package rmake updated to version 1.2.0 with previous version 1.1.0 dated 2018-08-30

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 rextendr updated to version 0.4.2 with previous version 0.4.1 dated 2025-06-19

Title: Call Rust Code from R using the 'extendr' Crate
Description: Provides functions to compile and load Rust code from R, similar to how 'Rcpp' or 'cpp11' allow easy interfacing with C++ code. Also provides helper functions to create R packages that use Rust code. Under the hood, the Rust crate 'extendr' is used to do all the heavy lifting.
Author: Claus O. Wilke [aut] , Andy Thomason [aut], Mossa M. Reimert [aut], Ilia Kosenkov [aut, cre] , Malcolm Barrett [aut] , Josiah Parry [ctb] , Kenneth Vernon [ctb] , Alberson Miranda [ctb]
Maintainer: Ilia Kosenkov <ilia.kosenkov@outlook.com>

Diff between rextendr versions 0.4.1 dated 2025-06-19 and 0.4.2 dated 2025-08-26

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New package EQUALencrypt with initial version 0.1.0
Package: EQUALencrypt
Title: Encryption and Decryption of Files and Data for Researchers Without Coding Skills
Version: 0.1.0
Date: 2025-08-20
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: openssl, stringr, uuid, zip
Description: Support functions for R-based "EQUALencrypt - Encrypt and decrypt whole files" and "EQUALencrypt - Encrypt and decrypt columns of data" shiny applications which allow researchers without coding skills or expertise in encryption algorithms to share data after encryption. Gurusamy,K (2025)<doi:10.5281/zenodo.16743676> and Gurusamy,K (2025)<doi:10.5281/zenodo.16744058>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2025-08-20 17:13:01 UTC; kurin
Repository: CRAN
Date/Publication: 2025-08-26 13:50:02 UTC

More information about EQUALencrypt at CRAN
Permanent link

New package edfinr with initial version 0.1.1
Package: edfinr
Title: Access Tidy Education Finance Data
Version: 0.1.1
Description: Provides easy access to tidy education finance data using Bellwether's methodology to combine NCES F-33 Survey, Census Bureau Small Area Income Poverty Estimates (SAIPE), and community data from the ACS 5-Year Estimates. The package simplifies downloading, caching, and filtering education finance data by year and state, enabling researchers and analysts to explore K-12 education funding patterns, revenue sources, expenditure categories, and demographic factors across U.S. school districts.
License: CC BY 4.0
URL: https://github.com/bellwetherorg/edfinr, https://bellwetherorg.github.io/edfinr/
BugReports: https://github.com/bellwetherorg/edfinr/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, rlang, tibble
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, scales, stringr, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-20 17:42:47 UTC; alexspurrier
Author: Alex Spurrier [aut, cre], Krista Kaput [aut], Michael Chrzan [ctb], Bellwether [cph]
Maintainer: Alex Spurrier <alex.spurrier@bellwether.org>
Repository: CRAN
Date/Publication: 2025-08-26 14:00:08 UTC

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New package azuremapsr with initial version 0.0.1
Package: azuremapsr
Title: Interface to the 'Azure Maps' API
Version: 0.0.1
Description: Provides a wrapper for the Microsoft 'Azure Maps' REST APIs <https://learn.microsoft.com/en-us/rest/api/maps/route?view=rest-maps-2025-01-01>, enabling users to access mapping and geospatial services directly from R. This package simplifies authenticating, building, and sending requests for services like route directions. It handles conversions between R objects (such as 'sf' objects) and the GeoJSON+JSON format required by the API, making it easier to integrate 'Azure Maps' into R-based data analysis workflows.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/juanfonsecaLS1/azuremapsr
BugReports: https://github.com/juanfonsecaLS1/azuremapsr/issues
Imports: geojsonsf (>= 2.0.3), httr2 (>= 1.2.1), jsonlite (>= 2.0.0), lubridate (>= 1.9.4), purrr (>= 1.1.0), rlist (>= 0.4.6.2), sf (>= 1.0.21), stringr (>= 1.5.1)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-20 17:55:20 UTC; ts18jpf
Author: Juan P. Fonseca-Zamora [aut, cre]
Maintainer: Juan P. Fonseca-Zamora <ts18jpf@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2025-08-26 14:00:13 UTC

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Package wpa updated to version 1.10.0 with previous version 1.9.2 dated 2025-05-28

Title: Tools for Analysing and Visualising Viva Insights Data
Description: Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Aleksey Ashikhmin [ctb], Ellen Trinklein [ctb], [...truncated...]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between wpa versions 1.9.2 dated 2025-05-28 and 1.10.0 dated 2025-08-26

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Package TransProR updated to version 1.0.6 with previous version 1.0.5 dated 2025-06-16

Title: Analysis and Visualization of Multi-Omics Data
Description: A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10. [...truncated...]
Author: Dongyue Yu [aut, cre, cph]
Maintainer: Dongyue Yu <yudongyue@mail.nankai.edu.cn>

Diff between TransProR versions 1.0.5 dated 2025-06-16 and 1.0.6 dated 2025-08-26

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Package svUnit updated to version 1.0.8 with previous version 1.0.6 dated 2021-04-19

Title: 'SciViews::R' - Unit, Integration and System Testing
Description: A complete unit test system.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svUnit versions 1.0.6 dated 2021-04-19 and 1.0.8 dated 2025-08-26

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Package bayesSSM updated to version 0.7.0 with previous version 0.6.1 dated 2025-06-23

Title: Bayesian Methods for State Space Models
Description: Implements methods for Bayesian analysis of State Space Models. Includes implementations of the Particle Marginal Metropolis-Hastings algorithm described in Andrieu et al. (2010) <doi:10.1111/j.1467-9868.2009.00736.x> and automatic tuning inspired by Pitt et al. (2012) <doi:10.1016/j.jeconom.2012.06.004> and J. Dahlin and T. B. Schön (2019) <doi:10.18637/jss.v088.c02>.
Author: Bjarke Hautop [aut, cre, cph]
Maintainer: Bjarke Hautop <bjarke.hautop@gmail.com>

Diff between bayesSSM versions 0.6.1 dated 2025-06-23 and 0.7.0 dated 2025-08-26

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Package biclustermd (with last version 0.2.4) was removed from CRAN

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

2025-08-22 0.2.4
2021-06-17 0.2.3
2020-04-15 0.2.2
2020-02-18 0.2.1
2019-12-07 0.2.0
2019-09-30 0.1.0

Permanent link
Package dataset updated to version 0.4.0 with previous version 0.3.9 dated 2025-05-25

Title: Create Data Frames for Exchange and Reuse
Description: The 'dataset' package helps create semantically rich, machine-readable, and interoperable datasets in R. It extends tidy data frames with metadata that preserves meaning, improves interoperability, and makes datasets easier to publish, exchange, and reuse in line with ISO and W3C standards.
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev] , Anna Marta Mester [rev] , Mauro Lepore [rev]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>

Diff between dataset versions 0.3.9 dated 2025-05-25 and 0.4.0 dated 2025-08-26

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Package ARCensReg updated to version 3.0.2 with previous version 3.0.1 dated 2023-08-29

Title: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors
Description: It fits a univariate left, right, or interval censored linear regression model with autoregressive errors, considering the normal or the Student-t distribution for the innovations. It provides estimates and standard errors of the parameters, predicts future observations, and supports missing values on the dependent variable. References used for this package: Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored regression models with autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics, 45(4), 375-392 <doi:10.1002/cjs.11338>. Schumacher, F. L., Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018). Influence diagnostics for censored regression models with autoregressive errors. Australian & New Zealand Journal of Statistics, 60(2), 209-229 <doi:10.1111/anzs.12229>. Valeriano, K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A. (2024). Censored autoregressive regression models with Student‐t innovations. Can [...truncated...]
Author: Fernanda L. Schumacher [aut, cre] , Katherine A. L. Valeriano [ctb] , Victor H. Lachos [ctb] , Christian G. Morales [ctb] , Larissa A. Matos [ctb]
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>

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Package scCustomize updated to version 3.1.3 with previous version 3.0.1 dated 2024-12-18

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>

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Permanent link

Package propertee updated to version 1.0.1 with previous version 1.0.0 dated 2025-08-21

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 polarzonoid updated to version 0.2-0 with previous version 0.1-2 dated 2025-06-13

Title: Compute Maps and Properties of Polar Zonoids
Description: In each odd dimension is a convex body - the polar zonoid - whose generating functions are trigonometric polynomials. The polar zonoid is a straightforward generalization of the polar zonohedron in dimension 3, as defined by Chilton and Coxeter (1963) <doi:10.2307/2313051>. The package has some applications of the polar zonoid, including the properties of configuration spaces of arcs on the circle and 3x3 rotation matrices. There is also a root solver for trigonometric polynomials.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package equatiomatic updated to version 0.4.4 with previous version 0.3.7 dated 2025-07-04

Title: Transform Models into 'LaTeX' Equations
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package ctrdata updated to version 1.25.0 with previous version 1.24.1 dated 2025-07-25

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial concepts canonically across registers, identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the re [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package sarp.snowprofile.pyface updated to version 0.4.3 with previous version 0.1.3 dated 2022-11-01

Title: 'python' Modules from Snowpack and Avalanche Research
Description: The development of post-processing functionality for simulated snow profiles by the snow and avalanche community is often done in 'python'. This package aims to make some of these tools accessible to 'R' users. Currently integrated modules contain functions to calculate dry snow layer instabilities in support of avalache hazard assessments following the publications of Richter, Schweizer, Rotach, and Van Herwijnen (2019) <doi:10.5194/tc-13-3353-2019>, and Mayer, Van Herwijnen, Techel, and Schweizer (2022) <doi:10.5194/tc-2022-34>.
Author: Florian Herla [aut, cre], Stephanie Mayer [aut], SFU Avalanche Research Program [fnd]
Maintainer: Florian Herla <fherla@sfu.ca>

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Package gdtools updated to version 0.4.3 with previous version 0.4.2 dated 2025-03-27

Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings and to check the availability of a font. Another set of functions is provided to support the collection of fonts from 'Google Fonts' in a cache. Their use is simple within 'R Markdown' documents and 'shiny' applications but also with graphic productions generated with the 'ggiraph', 'ragg' and 'svglite' packages or with tabular productions from the 'flextable' package.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package svHttp updated to version 1.0.5 with previous version 1.0.4 dated 2022-05-10

Title: 'SciViews::R' - HTTP Server
Description: A simple HTTP server allows to connect GUI clients to R.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package svGUI updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-16

Title: 'SciViews::R' - Manage GUIs in R
Description: Manage Graphical User Interfaces (GUI) in R. It is independent from any particular GUI widgets ('Tk', 'Gtk2', native, ...). It centralizes info about GUI elements currently used, and it dispatches GUI calls to the particular toolkits in use in function of the context (is R run at the terminal, within a 'Tk' application, a HTML page?).
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package svDialogstcltk updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-10

Title: 'SciViews::R' - Standard Dialog Boxes using Tcl/Tk
Description: Reimplementation of the 'svDialogs' dialog boxes in Tcl/Tk.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package svDialogs updated to version 1.1.1 with previous version 1.1.0 dated 2022-05-10

Title: 'SciViews::R' - Standard Dialog Boxes for Windows, MacOS and Linuxes
Description: Quickly construct standard dialog boxes for your GUI, including message boxes, input boxes, list, file or directory selection, ... In case R cannot display GUI dialog boxes, a simpler command line version of these interactive elements is also provided as fallback solution.
Author: Philippe Grosjean [aut, cre] , Paul Hibbins [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package LLMR updated to version 0.6.0 with previous version 0.5.0 dated 2025-07-16

Title: Interface for Large Language Model APIs in R
Description: Provides a unified interface to large language models across multiple providers. Supports text generation, structured output with optional JSON Schema validation, and embeddings. Includes tidyverse-friendly helpers, chat session, consistent error handling, and parallel batch tools.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package EvidenceSynthesis updated to version 1.0.0 with previous version 0.5.0 dated 2023-05-08

Title: Synthesizing Causal Evidence in a Distributed Research Network
Description: Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Fan Bu [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between EvidenceSynthesis versions 0.5.0 dated 2023-05-08 and 1.0.0 dated 2025-08-26

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 EvidenceSynthesis-1.0.0/EvidenceSynthesis/R/Simulation.R                                                         |  745 +++-
 EvidenceSynthesis-1.0.0/EvidenceSynthesis/R/Utilities.R                                                          |  136 
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More information about EvidenceSynthesis at CRAN
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Package vcmeta updated to version 1.5.0 with previous version 1.4.0 dated 2024-07-04

Title: Varying Coefficient Meta-Analysis
Description: Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

Diff between vcmeta versions 1.4.0 dated 2024-07-04 and 1.5.0 dated 2025-08-26

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Permanent link

Package SRMData updated to version 1.0.2 with previous version 1.0.1 dated 2025-05-28

Title: Data Files Supporting "Scientific Research and Methodology" by Peter K. Dunn (2025)
Description: Provides most of the data files used in the textbook "Scientific Research and Methodology" by Dunn (2025, ISBN: 9781032496726).
Author: Peter K. Dunn [aut, cre]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

Diff between SRMData versions 1.0.1 dated 2025-05-28 and 1.0.2 dated 2025-08-26

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 210 files changed, 867 insertions(+), 523 deletions(-)

More information about SRMData at CRAN
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Package gMCPLite updated to version 0.1.6 with previous version 0.1.5 dated 2024-01-11

Title: Lightweight Graph Based Multiple Comparison Procedures
Description: A lightweight fork of 'gMCP' with functions for graphical described multiple test procedures introduced in Bretz et al. (2009) <doi:10.1002/sim.3495> and Bretz et al. (2011) <doi:10.1002/bimj.201000239>. Implements a flexible function using 'ggplot2' to create multiplicity graph visualizations. Contains instructions of multiplicity graph and graphical testing for group sequential design, described in Maurer and Bretz (2013) <doi:10.1080/19466315.2013.807748>, with necessary unit testing using 'testthat'.
Author: Yalin Zhu [aut] , Yilong Zhang [aut], Xuan Deng [aut], Keaven Anderson [aut], Nan Xiao [aut, cre] , Kornelius Rohmeyer [ctb] , Florian Klinglmueller [ctb] , gMCP project contributors [cph] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Nan Xiao <nan.xiao1@merck.com>

Diff between gMCPLite versions 0.1.5 dated 2024-01-11 and 0.1.6 dated 2025-08-26

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Package GauPro updated to version 0.2.16 with previous version 0.2.15 dated 2025-04-08

Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>

Diff between GauPro versions 0.2.15 dated 2025-04-08 and 0.2.16 dated 2025-08-26

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Package ergm updated to version 4.9.0.1 with previous version 4.9.0 dated 2025-06-10

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.9.0 dated 2025-06-10 and 4.9.0.1 dated 2025-08-26

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Package emhawkes updated to version 0.9.8 with previous version 0.9.7 dated 2023-02-02

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fitting exponential multivariate Hawkes model. This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.2307/2334319>, with an exponential kernel and fits the parameters from the data. Models with the constant parameters, as well as complex dependent structures, can also be simulated and estimated. The estimation is based on the maximum likelihood method, introduced by introduced by Ozaki (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

Diff between emhawkes versions 0.9.7 dated 2023-02-02 and 0.9.8 dated 2025-08-26

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More information about emhawkes at CRAN
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