Fri, 11 Apr 2025

Package coxphm updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-23

Title: Time-to-Event Data Analysis with Missing Survival Times
Description: Fits a pseudo Cox proprotional hazards model when survival times are missing for control groups.
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>

Diff between coxphm versions 0.1.0 dated 2024-09-23 and 0.2.0 dated 2025-04-11

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Package cardx updated to version 0.2.4 with previous version 0.2.3 dated 2025-02-18

Title: Extra Analysis Results Data Utilities
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
Author: Daniel D. Sjoberg [aut, cre] , Abinaya Yogasekaram [aut], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

Diff between cardx versions 0.2.3 dated 2025-02-18 and 0.2.4 dated 2025-04-11

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Package qreport updated to version 1.0-2 with previous version 1.0-1 dated 2024-05-26

Title: Statistical Reporting with 'Quarto'
Description: Provides statistical components, tables, and graphs that are useful in 'Quarto' and 'RMarkdown' reports and that produce 'Quarto' elements for special formatting such as tabs and marginal notes and graphs. Some of the functions produce entire report sections with tabs, e.g., the missing data report created by missChk(). Functions for inserting variables and tables inside 'graphviz' and 'mermaid' diagrams are included, and so are special clinical trial graphics for adverse event reporting.
Author: Frank Harrell [aut, cre]
Maintainer: Frank Harrell <fh@fharrell.com>

Diff between qreport versions 1.0-1 dated 2024-05-26 and 1.0-2 dated 2025-04-11

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Package bcmixed updated to version 0.1.5 with previous version 0.1.4 dated 2020-03-31

Title: Mixed Effect Model with the Box-Cox Transformation
Description: Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.
Author: Kazushi Maruo [aut, cre], Ryota Ishii [aut], Yusuke Yamaguchi [ctb], Masahiko Gosho [ctb]
Maintainer: Kazushi Maruo <kazushi.maruo@gmail.com>

Diff between bcmixed versions 0.1.4 dated 2020-03-31 and 0.1.5 dated 2025-04-11

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Package shinytest2 updated to version 0.4.1 with previous version 0.4.0 dated 2025-04-10

Title: Testing for Shiny Applications
Description: Automated unit testing of Shiny applications through a headless 'Chromium' browser.
Author: Barret Schloerke [cre, aut] , Posit Software, PBC [cph, fnd], Winston Chang [ctb] , Gabor Csardi [ctb] , Hadley Wickham [ctb] , Mango Solutions [cph, ccp]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between shinytest2 versions 0.4.0 dated 2025-04-10 and 0.4.1 dated 2025-04-11

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Package shinymeta updated to version 0.2.1 with previous version 0.2.0.3 dated 2021-11-17

Title: Export Domain Logic from Shiny using Meta-Programming
Description: Provides tools for capturing logic in a Shiny app and exposing it as code that can be run outside of Shiny (e.g., from an R console). It also provides tools for bundling both the code and results to the end user.
Author: Joe Cheng [aut], Carson Sievert [cre, aut] , RStudio [cph]
Maintainer: Carson Sievert <carson@rstudio.com>

Diff between shinymeta versions 0.2.0.3 dated 2021-11-17 and 0.2.1 dated 2025-04-11

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Package qlifetable updated to version 0.0.2-6 with previous version 0.0.2-5 dated 2024-06-28

Title: Managing and Building of Quarterly Life Tables
Description: Manages, builds and computes statistics and datasets for the construction of quarterly (sub-annual) life tables by exploiting micro-data from either a general or an insured population. References: Pavía and Lledó (2022) <doi:10.1111/rssa.12769>. Pavía and Lledó (2023) <doi:10.1017/asb.2023.16>. Pavía and Lledó (2025) <doi:10.1371/journal.pone.0315937>. Acknowledgements: The authors wish to thank Conselleria de Educación, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257; CIAICO/2024/031), Ministerio de Ciencia e Innovación (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e intra-anual de la mortalidad en España. Una herramienta automática para el calculo de productos de vida') for supporting this research.
Author: Jose M. Pavia [aut, cre] , Josep Lledo [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Diff between qlifetable versions 0.0.2-5 dated 2024-06-28 and 0.0.2-6 dated 2025-04-11

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New package clinDataReview with initial version 1.6.2
Package: clinDataReview
Title: Clinical Data Review Tool
Version: 1.6.2
Date: 2025-04-11
Description: Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template 'R Markdown' reports contained in the package.
Imports: bookdown, clinUtils (>= 0.1.0), crosstalk, data.table, ggplot2, grid, haven, htmltools, htmlwidgets, knitr, jsonlite, jsonvalidate, methods, plotly, plyr, rmarkdown, stats, stringr, utils, tools, yaml, xml2, xfun, base64enc
Suggests: countrycode, inTextSummaryTable (>= 3.1.0), patientProfilesVis (>= 0.12.0), testthat, DT, scales, grDevices
SystemRequirements: pandoc (to create a clinical data review report)
URL: https://github.com/openanalytics/clinDataReview
BugReports: https://github.com/openanalytics/clinDataReview/issues
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-11 19:04:21 UTC; lcougnaud
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Lennart Tuijnder [aut], Adriaan Blommaert [aut], Arne De Roeck [ctb, rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>
Repository: CRAN
Date/Publication: 2025-04-11 22:10:02 UTC

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New package choroplethr with initial version 4.0.0
Package: choroplethr
Title: Simplify the Creation of Choropleth Maps
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from 'Google Maps'.
Version: 4.0.0
URL: https://github.com/eastnile/choroplethr
Copyright: Trulia, Inc.
License: BSD_3_clause + file LICENSE
Imports: Hmisc, stringr, ggplot2 (>= 2.0.0), dplyr, R6, WDI, ggmap, RgoogleMaps, tigris (>= 1.0), gridExtra, xml2, rvest, tidyr, tidycensus
Suggests: testthat, choroplethrMaps, choroplethrAdmin1 (>= 1.1.0),
Depends: R (>= 3.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-11 16:49:37 UTC; zhaochenhe
Author: Ari Lamstein [aut], Zhaochen He [aut, cre], Brian Johnson [ctb], Trulia, Inc. [cph]
Maintainer: Zhaochen He <zhaochen.he@cnu.edu>
Repository: CRAN
Date/Publication: 2025-04-11 22:10:08 UTC

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Package VirtualPop updated to version 2.1.0 with previous version 2.0.2 dated 2024-03-18

Title: Simulation of Populations by Sampling Waiting-Time Distributions
Description: Constructs a virtual population from fertility and mortality rates for any country, calendar year and birth cohort in the Human Mortality Database <https://www.mortality.org> and the Human Fertility Database <https://www.humanfertility.org>. Fertility histories are simulated for every individual and their offspring, producing a multi-generation virtual population.
Author: Frans Willekens [aut, cre] , Tim Riffe [ctb]
Maintainer: Frans Willekens <willekens@nidi.nl>

Diff between VirtualPop versions 2.0.2 dated 2024-03-18 and 2.1.0 dated 2025-04-11

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Package shrinkDSM updated to version 1.0.0 with previous version 0.2.0 dated 2022-11-15

Title: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of dynamic survival models with shrinkage priors. Details on the algorithms used are provided in Wagner (2011) <doi:10.1007/s11222-009-9164-5>, Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020>.
Author: Daniel Winkler [aut, cre], Peter Knaus [aut]
Maintainer: Daniel Winkler <daniel.winkler@wu.ac.at>

Diff between shrinkDSM versions 0.2.0 dated 2022-11-15 and 1.0.0 dated 2025-04-11

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New package MethEvolSIM with initial version 0.2.1
Package: MethEvolSIM
Title: Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies
Version: 0.2.1
Author: Sara Castillo Vicente [aut, cre], Dirk Metzler [aut, ths]
Maintainer: Sara Castillo Vicente <castillo@bio.lmu.de>
Description: DNA methylation is an epigenetic modification involved in genomic stability, gene regulation, development and disease. DNA methylation occurs mainly through the addition of a methyl group to cytosines, for example to cytosines in a CpG dinucleotide context (CpG stands for a cytosine followed by a guanine). Tissue-specific methylation patterns lead to genomic regions with different characteristic methylation levels. E.g. in vertebrates CpG islands (regions with high CpG content) that are associated to promoter regions of expressed genes tend to be unmethylated. 'MethEvolSIM' is a model-based simulation software for the generation and modification of cytosine methylation patterns along a given tree, which can be a genealogy of cells within an organism, a coalescent tree of DNA sequences sampled from a population, or a species tree. The simulations are based on an extension of the model of Grosser & Metzler (2020) <doi:10.1186/s12859-020-3438-5> and allows for changes of the met [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: R6, ape
Depends: R (>= 4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-11 11:08:50 UTC; castillo
Repository: CRAN
Date/Publication: 2025-04-11 22:00:19 UTC

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Package lphom updated to version 0.3.5-6 with previous version 0.3.5-5 dated 2024-03-03

Title: Ecological Inference by Linear Programming under Homogeneity
Description: Provides a bunch of algorithms based on linear programming for estimating, under the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices) using mainly aggregate data (from voting units). References: Pavía and Romero (2024) <doi:10.1177/00491241221092725>. Pavía and Romero (2024) <doi:10.1093/jrsssa/qnae013>. Pavía (2023) <doi:10.1007/s43545-023-00658-y>. Pavía (2024) <doi:10.1080/0022250X.2024.2423943>. Pavía (2024) <doi:10.1177/07591063241277064>. Pavía and Penadés (2024). A bottom-up approach for ecological inference. Romero, Pavía, Martín and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Acknowledgements: The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257, CIAICO/2023/031) and Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) for supporting this research.
Author: Jose M. Pavia [aut, cre] , Rafael Romero [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Diff between lphom versions 0.3.5-5 dated 2024-03-03 and 0.3.5-6 dated 2025-04-11

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Package cards updated to version 0.6.0 with previous version 0.5.1 dated 2025-03-01

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package mixedBayes updated to version 0.1.6 with previous version 0.1.5 dated 2025-02-11

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: In longitudinal studies, the same subjects are measured repeatedly over time, leading to correlations among the repeated measurements. Properly accounting for the intra-cluster correlations in the presence of data heterogeneity and long tailed distributions of the disease phenotype is challenging, especially in the context of high dimensional regressions. In this package, we developed a Bayesian quantile mixed effects model with spike- and -slab priors to dissect important gene - environment interactions under longitudinal genomics studies. An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package Cyclops updated to version 3.5.1 with previous version 3.5.0 dated 2024-12-01

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package coarseDataTools updated to version 0.7.2 with previous version 0.6-6 dated 2021-12-09

Title: Analysis of Coarsely Observed Data
Description: Functions to analyze coarse data. Specifically, it contains functions to (1) fit parametric accelerated failure time models to interval-censored survival time data, and (2) estimate the case-fatality ratio in scenarios with under-reporting. This package's development was motivated by applications to infectious disease: in particular, problems with estimating the incubation period and the case fatality ratio of a given disease. Sample data files are included in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>, Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.
Author: Nicholas G. Reich [aut, cre], Justin Lessler [aut], Andrew Azman [aut], Zhian N. Kamvar [ctb], Hugo Gruson [ctb]
Maintainer: Nicholas G. Reich <nick@umass.edu>

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Package SDPDmod updated to version 0.0.6 with previous version 0.0.5 dated 2024-04-13

Title: Spatial Dynamic Panel Data Modeling
Description: Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.
Author: Rozeta Simonovska [aut, cre]
Maintainer: Rozeta Simonovska <simonovska.r@gmail.com>

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Package sass updated to version 0.4.10 with previous version 0.4.9 dated 2024-03-15

Title: Syntactically Awesome Style Sheets ('Sass')
Description: An 'SCSS' compiler, powered by the 'LibSass' library. With this, R developers can use variables, inheritance, and functions to generate dynamic style sheets. The package uses the 'Sass CSS' extension language, which is stable, powerful, and CSS compatible.
Author: Joe Cheng [aut], Timothy Mastny [aut], Richard Iannone [aut] , Barret Schloerke [aut] , Carson Sievert [aut, cre] , Christophe Dervieux [ctb] , RStudio [cph, fnd], Sass Open Source Foundation [ctb, cph] , Greter Marcel [ctb, cph] , Mifsud Michael [ct [...truncated...]
Maintainer: Carson Sievert <carson@rstudio.com>

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Package metaConvert updated to version 1.0.3 with previous version 1.0.2 dated 2024-11-17

Title: An Automatic Suite for Estimation of Various Effect Size Measures
Description: Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.
Author: Corentin J. Gosling [aut, cre], Samuele Cortese [aut], Marco Solmi [aut], Belen Haza [aut], Eduard Vieta [aut], Richard Delorme [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Maintainer: Corentin J. Gosling <corentin.gosling@parisnanterre.fr>

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Package ggsurveillance updated to version 0.3.0 with previous version 0.2.0 dated 2025-03-02

Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>

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Package ecce updated to version 3.0.3 with previous version 3.0.2 dated 2024-06-27

Title: Translate English Sentence into Chinese, or Translate Chinese Sentence into English
Description: If translate English or Chinese sentence, there is a faster way for R user. You can pass in an English or Chinese sentence, ecce package support both English and Chinese translation. It also support browse translation results in website. In addition, also support obtain the pinyin of the Chinese character, you can more easily understand the pronunciation of the Chinese character.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

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Package ipkg updated to version 1.1.3 with previous version 1.1.2 dated 2025-02-27

Title: Install R Packages or Download File from GitHub via the Proxy Site
Description: When you want to install R package or download file from GitHub, but you can't access GitHub, this package helps you install R packages or download file from GitHub via the proxy website <https://gh-proxy.com/> or <https://ghfast.top/>, which is in real-time sync with GitHub.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

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Package CNID updated to version 2.1.1 with previous version 2.1.0 dated 2025-03-17

Title: Get Basic Information from Chinese ID Number
Description: The Chinese ID number contains a lot of information, this package helps you get the region, date of birth, age, age based on year, gender, zodiac, constellation information from the Chinese ID number.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

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Package tergo updated to version 0.1.9 with previous version 0.1.8 dated 2025-02-05

Title: Style Your Code Fast
Description: Provides a set of functions that allow users for styling their R code according to the 'tidyverse' style guide. The package uses a native Rust implementation to ensure the highest performance. Learn more about 'tergo' at <https://rtergo.pagacz.io>.
Author: Konrad Pagacz [aut, cre], Maciej Nasinski [ctb], The authors of the dependency Rust crates [ctb]
Maintainer: Konrad Pagacz <konrad.pagacz@gmail.com>

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Package RH2 updated to version 0.2.5 with previous version 0.2.4 dated 2018-03-14

Title: DBI/RJDBC Interface to H2 Database
Description: DBI/RJDBC interface to h2 database. h2 version 2.3.232 is included.
Author: G. Grothendieck [aut], "David M. Kaplan" [cre]
Maintainer: "David M. Kaplan" <dmkaplan2000@gmail.com>

Diff between RH2 versions 0.2.4 dated 2018-03-14 and 0.2.5 dated 2025-04-11

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Package igrf updated to version 2.0 with previous version 1.0 dated 2022-01-07

Title: International Geomagnetic Reference Field
Description: The 14th generation International Geomagnetic Reference Field (IGRF). A standard spherical harmonic representation of the Earth's main field.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package espadon updated to version 1.11.0 with previous version 1.10.0 dated 2025-02-05

Title: Easy Study of Patient DICOM Data in Oncology
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>

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Package BioVizSeq updated to version 1.0.3 with previous version 1.0.2 dated 2025-03-20

Title: Visualizing the Elements Within Bio-Sequences
Description: Visualizing the types and distribution of elements within bio-sequences. At the same time, We have developed a geom layer, geom_rrect(), that can generate rounded rectangles. No external references are used in the development of this package.
Author: Shiqi Zhao [aut, cre, cph]
Maintainer: Shiqi Zhao <zhaosq89@163.com>

Diff between BioVizSeq versions 1.0.2 dated 2025-03-20 and 1.0.3 dated 2025-04-11

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Package disprose (with last version 0.1.6) was removed from CRAN

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

2022-03-18 0.1.6
2022-03-01 0.1.5
2022-01-24 0.1.4

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Package monitoR updated to version 1.2 with previous version 1.0.7 dated 2018-02-14

Title: Acoustic Template Detection in R
Description: Acoustic template detection and monitoring database interface. Create, modify, save, and use templates for detection of animal vocalizations. View, verify, and extract results. Upload a MySQL schema to a existing instance, manage survey metadata, write and read templates and detections locally or to the database.
Author: Sasha D. Hafner [aut, cre] , Jon Katz [aut], Jerome Sueur [aut] ), Thierry Aubin [aut] ), Caroline Simonis [aut] ), Uwe Ligges [aut] used in monitoR)), Therese Donovan [ctb]
Maintainer: Sasha D. Hafner <sasha.hafner@bce.au.dk>

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Package cenGAM updated to version 0.5.4 with previous version 0.5.3 dated 2017-08-30

Title: Censored Regression with Smooth Terms
Description: Implementation of Tobit type I and type II families for censored regression using the 'mgcv' package, based on methods detailed in Woods (2016) <doi:10.1080/01621459.2016.1180986>.
Author: Zhou Fang [aut, cre]
Maintainer: Zhou Fang <zhou.fang@bioss.ac.uk>

Diff between cenGAM versions 0.5.3 dated 2017-08-30 and 0.5.4 dated 2025-04-11

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Package rlistings updated to version 0.2.11 with previous version 0.2.10 dated 2025-01-08

Title: Clinical Trial Style Data Readout Listings
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Joe Zhu [aut, cre] , Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package RBPcurve updated to version 1.3 with previous version 1.2 dated 2017-05-15

Title: The Residual-Based Predictiveness Curve
Description: The RBP curve is a visual tool to assess the performance of prediction models.
Author: Giuseppe Casalicchio [cre, aut] , Bernd Bischl [ctb]
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>

Diff between RBPcurve versions 1.2 dated 2017-05-15 and 1.3 dated 2025-04-11

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Package npphen updated to version 2.0.1 with previous version 2.0.0 dated 2023-10-12

Title: Vegetation Phenological Cycle and Anomaly Detection using Remote Sensing Data
Description: Calculates phenological cycle and anomalies using a non-parametric approach applied to time series of vegetation indices derived from remote sensing data or field measurements. The package implements basic and high-level functions for manipulating vector data (numerical series) and raster data (satellite derived products). Processing of very large raster files is supported. For more information, please check the following paper: Chávez et al. (2023) <doi:10.3390/rs15010073>.
Author: Roberto O. Chavez [aut] , Sergio A. Estay [aut] , Jose A. Lastra [cre, ctb] , Carlos G. Riquelme [ctb]
Maintainer: Jose A. Lastra <jose.lastra@pucv.cl>

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Package mgcViz updated to version 0.2.0 with previous version 0.1.11 dated 2023-10-06

Title: Visualisations for Generalized Additive Models
Description: Extension of the 'mgcv' package, providing visual tools for Generalized Additive Models that exploit the additive structure of such models, scale to large data sets and can be used in conjunction with a wide range of response distributions. The focus is providing visual methods for better understanding the model output and for aiding model checking and development beyond simple exponential family regression. The graphical framework is based on the layering system provided by 'ggplot2'.
Author: Matteo Fasiolo [aut, cre], Raphael Nedellec [aut], Yannig Goude [ctb], Christian Capezza [ctb], Simon N. Wood [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package geneExpressionFromGEO updated to version 1.2 with previous version 0.9 dated 2021-12-16

Title: Easily Downloads a Gene Expression Dataset from a GEO Code and Retrieves the Gene Symbols of Its Probesets
Description: A function that reads in the GEO code of a gene expression dataset, retrieves its data from GEO, (optionally) retrieves the gene symbols of the dataset, and returns a simple dataframe table containing all the data. Platforms available: GPL11532, GPL23126, GPL6244, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>. More information can be found in the following manuscript: Davide Chicco, "geneExpressionFromGEO: an R package to facilitate data reading from Gene Expression Omnibus (GEO)". Microarray Data Analysis, Methods in Molecular Biology, volume 2401, chapter 12, pages 187-194, Springer Protocols, 2021, <doi:10.1007/978-1-0716-1839-4_12>.
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>

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Package eiCircles updated to version 0.0.1-12 with previous version 0.0.1-7 dated 2024-03-24

Title: Ecological Inference of RxC Tables by Overdispersed-Multinomial Models
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data using the model described in Forcina et al. (2012), as extension of the model proposed in Brown and Payne (1986). Allows incorporation of covariates. References: Brown, P. and Payne, C. (1986). ''Aggregate data, ecological regression and voting transitions''. Journal of the American Statistical Association, 81, 453–460. <DOI:10.1080/01621459.1986.10478290>. Forcina, A., Gnaldi, M. and Bracalente, B. (2012). ''A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy''. Statistical Methods & Applications, 21, 109–119. <DOI:10.1007/s10260-011-0184-x>.
Author: Antonio Forcina [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package CoClust updated to version 1.0-0 with previous version 0.3-2 dated 2017-12-17

Title: A Copula-Based Clustering Algorithm
Description: A copula based clustering algorithm that finds clusters according to the complex multivariate dependence structure of the data generating process. The updated version of the algorithm is described in Di Lascio, F.M.L. and Giannerini, S. (2019). "Clustering dependent observations with copula functions". Statistical Papers, 60, p.35-51. <doi:10.1007/s00362-016-0822-3>.
Author: Francesca Marta Lilja Di Lascio [aut, cre], Simone Giannerini [aut]
Maintainer: Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>

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Package CDSS updated to version 0.3-0 with previous version 0.2-0 dated 2023-10-08

Title: Course-Dependent Skill Structures
Description: Deriving skill structures from skill assignment data for courses (sets of learning objects).
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package RcppCWB updated to version 0.6.7 with previous version 0.6.6 dated 2025-03-30

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<https://cwb.sourceforge.io>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre2' (BSD license, see <https://github.com/PCRE2Project/pcre2/blob/master/LICENCE.md>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stephanie Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb], Marius Bertram [ctb], Tomas Kalibera [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package popdemo updated to version 1.3-2 with previous version 1.3-1 dated 2021-11-16

Title: Demographic Modelling Using Projection Matrices
Description: Tools for modelling populations and demography using matrix projection models, with deterministic and stochastic model implementations. Includes population projection, indices of short- and long-term population size and growth, perturbation analysis, convergence to stability or stationarity, and diagnostic and manipulation tools.
Author: Iain Stott [aut, cre], Dave Hodgson [aut], Stuart Townley [aut], Stephen Ellner [ctb]
Maintainer: Iain Stott <iainmstott@gmail.com>

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Package DoubleML updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-05

Title: Double Machine Learning in R
Description: Implementation of the double/debiased machine learning framework of Chernozhukov et al. (2018) <doi:10.1111/ectj.12097> for partially linear regression models, partially linear instrumental variable regression models, interactive regression models and interactive instrumental variable regression models. 'DoubleML' allows estimation of the nuisance parts in these models by machine learning methods and computation of the Neyman orthogonal score functions. 'DoubleML' is built on top of 'mlr3' and the 'mlr3' ecosystem. The object-oriented implementation of 'DoubleML' based on the 'R6' package is very flexible. More information available in the publication in the Journal of Statistical Software: <doi:10.18637/jss.v108.i03>.
Author: Philipp Bach [aut, cre], Victor Chernozhukov [aut], Malte S. Kurz [aut], Martin Spindler [aut], Klaassen Sven [aut]
Maintainer: Philipp Bach <philipp.bach@uni-hamburg.de>

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New package beam with initial version 2.0.4
Package: beam
Title: Fast Bayesian Inference in Large Gaussian Graphical Models
Version: 2.0.4
Date: 2025-03-14
Author: Gwenael G.R. Leday [cre, aut], Ilaria Speranza [aut], Harry Gray [ctb]
Maintainer: Gwenael G.R. Leday <gwenael.leday@proton.me>
Depends: R (>= 4.1.0)
Imports: stats, methods, grDevices, graphics, Matrix, fdrtool, igraph, knitr, Rcpp, assertthat
Description: Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.
LazyLoad: yes
License: GPL (>= 2.0)
LazyData: TRUE
NeedsCompilation: yes
Repository: CRAN
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: covr, testthat
URL: https://github.com/gleday/beam
Encoding: UTF-8
Packaged: 2025-04-09 14:53:45 UTC; User
Date/Publication: 2025-04-11 10:10:07 UTC

More information about beam at CRAN
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Package sharp updated to version 1.4.7 with previous version 1.4.6 dated 2024-02-03

Title: Stability-enHanced Approaches using Resampling Procedures
Description: In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>) and consensus clustering (S Monti et al (2003) <doi:10.1023/A:1023949509487>), resampling techniques are used to enhance the reliability of the results. In this package (B Bodinier et al (2025) <doi:10.18637/jss.v112.i05>), hyper-parameters are calibrated by maximising model stability, which is measured under the null hypothesis that all selection (or co-membership) probabilities are identical (B Bodinier et al (2023a) <doi:10.1093/jrsssc/qlad058> and B Bodinier et al (2023b) <doi:10.1093/bioinformatics/btad635>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO in stability selection, and hierarchical clustering, partitioning around medoids, K means or Gaussian mixture models in consensus clustering.
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <barbara.bodinier@gmail.com>

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More information about sharp at CRAN
Permanent link

Package rtables updated to version 0.6.12 with previous version 0.6.11 dated 2025-01-09

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between rtables versions 0.6.11 dated 2025-01-09 and 0.6.12 dated 2025-04-11

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More information about rtables at CRAN
Permanent link

Package rlang updated to version 1.1.6 with previous version 1.1.5 dated 2025-01-17

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between rlang versions 1.1.5 dated 2025-01-17 and 1.1.6 dated 2025-04-11

 rlang-1.1.5/rlang/src/internal/init.c                                                      |only
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 rlang-1.1.6/rlang/R/aaa.R                                                                  |    2 
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 rlang-1.1.6/rlang/R/nse-inject.R                                                           |   14 
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 rlang-1.1.6/rlang/R/standalone-linked-version.R                                            |   30 
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 rlang-1.1.6/rlang/R/vec.R                                                                  |    8 
 rlang-1.1.6/rlang/man/args_data_masking.Rd                                                 |    2 
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Package RcensusPkg updated to version 0.1.5 with previous version 0.1.4 dated 2025-03-15

Title: Easily Access US Census Bureau Survey and Geographic Data
Description: The key function 'get_vintage_data()' returns a dataframe and is the window into the Census Bureau API requiring just a dataset name, vintage(year), and vector of variable names for survey estimates/percentages. Other functions assist in searching for available datasets, geographies, group/variable concepts of interest. Also provided are functions to access and layer (via standard piping) displayable geometries for the US, states, counties, blocks/tracts, roads, landmarks, places, and bodies of water. Joining survey data with many of the geometry functions is built-in to produce choropleth maps.
Author: Rick Dean [aut, cre, cph]
Maintainer: Rick Dean <deanr3@bardstown.com>

Diff between RcensusPkg versions 0.1.4 dated 2025-03-15 and 0.1.5 dated 2025-04-11

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Permanent link

Package parTimeROC updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-14

Title: Parametric Time-Dependent Receiver Operating Characteristic
Description: Producing the time-dependent receiver operating characteristic (ROC) curve through parametric approaches. Tools for generating random data, fitting, predicting and check goodness of fit are prepared. The methods are developed from the theoretical framework of proportional hazard model and copula functions. Using this package, users can now simulate parametric time-dependent ROC and run experiment to understand the behavior of the curve under different scenario.
Author: Faiz Azhar [aut, cre, cph] , Adina Najwa Kamarudin [cph, ths] , Universiti Teknologi Malaysia, UTM [cph]
Maintainer: Faiz Azhar <faiz.azhar241@gmail.com>

Diff between parTimeROC versions 0.1.0 dated 2024-06-14 and 0.1.1 dated 2025-04-11

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Package networkDynamicData updated to version 0.3.0 with previous version 0.2.1 dated 2016-01-11

Title: Dynamic (Longitudinal) Network Datasets
Description: A collection of dynamic network data sets from various sources and multiple authors represented as 'networkDynamic'-formatted objects.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb], Li Wang [ctb], Gerhard van de Bunt [ctb], Goele Bossaert [ctb], Nadine Meidert [ctb], SocioPatterns.org [ctb], Tore Opsahi [ctb], Radoslaw Michalski, [ctb], Allison Davis, [ctb], C.E. Priebe, [c [...truncated...]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

Diff between networkDynamicData versions 0.2.1 dated 2016-01-11 and 0.3.0 dated 2025-04-11

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Package GrowthCurveME updated to version 0.1.11 with previous version 0.1.0 dated 2024-12-17

Title: Mixed-Effects Modeling for Growth Data
Description: Simple and user-friendly wrappers to the 'saemix' package for performing linear and non-linear mixed-effects regression modeling for growth data to account for clustering or longitudinal analysis via repeated measurements. The package allows users to fit a variety of growth models, including linear, exponential, logistic, and 'Gompertz' functions. For non-linear models, starting values are automatically calculated using initial least-squares estimates. The package includes functions for summarizing models, visualizing data and results, calculating doubling time and other key statistics, and generating model diagnostic plots and residual summary statistics. It also provides functions for generating publication-ready summary tables for reports. Additionally, users can fit linear and non-linear least-squares regression models if clustering is not applicable. The mixed-effects modeling methods in this package are based on Comets, Lavenu, and Lavielle (2017) <doi:10.18637/jss.v080.i03&g [...truncated...]
Author: Anand Panigrahy [aut, cre] , Sonam Bhatia [ctb] , Thomas Quinn [dtc], Aniket Shetty [rev], Keith Ligon [fnd] , Center for Patient-Derived Models Dana-Farber Cancer Institute [cph]
Maintainer: Anand Panigrahy <anand_panigrahy@dfci.harvard.edu>

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Package fishstat updated to version 2025.1.0.0 with previous version 2024.1.0.1 dated 2025-02-17

Title: Global Fishery and Aquaculture Statistics
Description: The Food and Agriculture Organization of the United Nations (FAO) FishStat database is the leading source of global fishery and aquaculture statistics and provides unique information for sector analysis and monitoring. This package provides the global production data from all fisheries and aquaculture in R format, ready for analysis.
Author: Arni Magnusson [aut, cre], Rishi Sharma [aut], FAO [cph]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package CausalMetaR updated to version 0.1.3 with previous version 0.1.2 dated 2024-06-04

Title: Causally Interpretable Meta-Analysis
Description: Provides robust and efficient methods for estimating causal effects in a target population using a multi-source dataset, including those of Dahabreh et al. (2019) <doi:10.1111/biom.13716>, Robertson et al. (2021) <doi:10.48550/arXiv.2104.05905>, and Wang et al. (2024) <doi:10.48550/arXiv.2402.02684>. The multi-source data can be a collection of trials, observational studies, or a combination of both, which have the same data structure (outcome, treatment, and covariates). The target population can be based on an internal dataset or an external dataset where only covariate information is available. The causal estimands available are average treatment effects and subgroup treatment effects. See Wang et al. (2025) <doi:10.1017/rsm.2025.5> for a detailed guide on using the package.
Author: Yi Lian [aut], Guanbo Wang [aut], Sean McGrath [aut, cre] , Issa Dahabreh [aut]
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>

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Package arcgisgeocode updated to version 0.2.3 with previous version 0.2.2 dated 2024-09-27

Title: A Robust Interface to ArcGIS 'Geocoding Services'
Description: A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisgeocode versions 0.2.2 dated 2024-09-27 and 0.2.3 dated 2025-04-11

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Package cgam updated to version 1.24 with previous version 1.23 dated 2025-02-19

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with [...truncated...]
Author: Mary Meyer [aut], Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>

Diff between cgam versions 1.23 dated 2025-02-19 and 1.24 dated 2025-04-11

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Thu, 10 Apr 2025

Package salso updated to version 0.3.53 with previous version 0.3.51 dated 2025-03-30

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Andres Felipe Barrientos [aut], Garritt Page [aut], David Dunson [aut], Alex Crichton [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [c [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between salso versions 0.3.51 dated 2025-03-30 and 0.3.53 dated 2025-04-10

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Package fangs updated to version 0.2.21 with previous version 0.2.18 dated 2025-03-29

Title: Feature Allocation Neighborhood Greedy Search Algorithm
Description: A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution. The method is described in Dahl, Johnson, and Andros (2023) "Comparison and Bayesian Estimation of Feature Allocations" <doi:10.1080/10618600.2023.2204136>.
Author: David B. Dahl [aut, cre] , R. Jacob Andros [aut] , Devin J. Johnson [aut] , Alex Crichton [ctb] , Andrii Dmytrenko [ctb] , Brendan Zabarauskas [ctb] , David B. Dahl [ctb] , David Tolnay [ctb] , Jim Turner [ctb] , Josh Stone [ctb] , Niko Matsakis [ctb [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package cohetsurr updated to version 2.0 with previous version 1.1 dated 2025-03-05

Title: Assessing Complex Heterogeneity in Surrogacy
Description: Provides functions to assess complex heterogeneity in the strength of a surrogate marker with respect to multiple baseline covariates, in either a randomized treatment setting or observational setting. For a randomized treatment setting, the functions assess and test for heterogeneity using both a parametric model and a semiparametric two-step model. More details for the randomized setting are available in: Knowlton, R., Tian, L., & Parast, L. (2025). "A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker," Statistics in Medicine, 44(5), e70001 <doi:10.1002/sim.70001>. For an observational setting, functions in this package assess complex heterogeneity in the strength of a surrogate marker using meta-learners, with options for different base learners. More details for the observational setting will be available in the future in: Knowlton, R., Parast, L. (2025) "Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners." A tut [...truncated...]
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package CytoProfile updated to version 0.2.0 with previous version 0.1.2 dated 2025-04-03

Title: Cytokine Profiling Analysis Tool
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>

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Package gmwmx2 updated to version 0.0.2 with previous version 0.0.1 dated 2025-03-10

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

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Package targets updated to version 1.11.1 with previous version 1.10.1 dated 2025-01-31

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package NumericEnsembles updated to version 0.7.0 with previous version 0.5.0 dated 2025-04-01

Title: Automatically Runs 23 Individual and 17 Ensembles of Models
Description: Automatically runs 23 individual models and 17 ensembles on numeric data. The package automatically returns complete results on all 40 models, 25 charts, multiple tables. The user simply provides the data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets, builds models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 40 pre trained models on totally new (untrained) data if the user selects that feature. This feature alone represents a very effective solution to the issue of reproducibility of models in data science. [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package arcpbf updated to version 0.1.7 with previous version 0.1.6 dated 2024-10-01

Title: Process ArcGIS Protocol Buffer FeatureCollections
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package evapoRe updated to version 1.0.1 with previous version 1.0.0 dated 2023-11-29

Title: Evapotranspiration R Recipes
Description: An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based, combined type, and radiation-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.
Author: Akbar Rahmati Ziveh [aut, cre] , Mijael Rodrigo Vargas Godoy [aut] , Vishal Thakur [ctb] , Yannis Markonis [aut, ths]
Maintainer: Akbar Rahmati Ziveh <rahmati_ziveh@fzp.czu.cz>

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Package VLF updated to version 1.1-3 with previous version 1.1 dated 2022-08-18

Title: Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records
Description: Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences. The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs. The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another. Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures. Based on Stoeckle and Kerr (2012) <doi:10.1371/journal.pone.0043992> and Phillips et al. (2023) <doi:10.3897/BDJ.11.e96480>.
Author: Taryn B. T. Athey [cre], Paul D. McNicholas [aut], Jarrett D. Phillips [ctb]
Maintainer: Taryn B. T. Athey <taryn.athey@gmail.com>

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Package tarchetypes updated to version 0.13.0 with previous version 0.12.0 dated 2025-01-31

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Rudolf Siegel [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package qgam updated to version 2.0.0 with previous version 1.3.4 dated 2021-11-22

Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2020) <doi:10.1080/01621459.2020.1725521>. See Fasiolo at al. (2021) <doi:10.18637/jss.v100.i09> for an introduction to the package. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre], Ben Griffiths [aut], Simon N. Wood [ctb], Margaux Zaffran [ctb], Yannig Goude [ctb], Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

Diff between qgam versions 1.3.4 dated 2021-11-22 and 2.0.0 dated 2025-04-10

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Package netmeta updated to version 3.2-0 with previous version 3.1-1 dated 2025-02-06

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-Adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package extremefit updated to version 1.0.3 with previous version 1.0.2 dated 2019-05-04

Title: Estimation of Extreme Conditional Quantiles and Probabilities
Description: Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.
Author: Gilles Durrieu [aut], Ion Grama [aut], Kevin Jaunatre [aut, cre], Quang-Khoai Pham [aut], Jean-Marie Tricot [aut]
Maintainer: Kevin Jaunatre <kevin.jaunatre@hotmail.fr>

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Package crew updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-03

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package CodelistGenerator updated to version 3.5.0 with previous version 3.4.1 dated 2025-03-26

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb] , Xihang Chen [aut] , Nuria Mercade-Besora [aut] , Mike Du [ctb] , Danielle Newby [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package BradleyTerry2 updated to version 1.1.3 with previous version 1.1-2 dated 2020-02-03

Title: Bradley-Terry Models
Description: Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.
Author: Heather Turner [aut, cre], David Firth [aut]
Maintainer: Heather Turner <ht@heatherturner.net>

Diff between BradleyTerry2 versions 1.1-2 dated 2020-02-03 and 1.1.3 dated 2025-04-10

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Package arcgisutils updated to version 0.3.3 with previous version 0.3.1 dated 2024-09-26

Title: ArcGIS Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://developers.arcgis.com/r-bridge/installation/>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisutils versions 0.3.1 dated 2024-09-26 and 0.3.3 dated 2025-04-10

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Package ILSAmerge updated to version 1.3.8 with previous version 1.3.6 dated 2025-02-12

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

Diff between ILSAmerge versions 1.3.6 dated 2025-02-12 and 1.3.8 dated 2025-04-10

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Package Rdistance updated to version 4.0.5 with previous version 4.0.3 dated 2025-03-29

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) estimates density and abundance of survey targets (e.g., animals) when detection probability declines with distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Distance-sampling includes line-transect studies that measure observation distances as the closest approach of the sample route (transect) to the target (i.e., perpendicular off-transect distance), and point-transect studies that measure observation distances from stationary observers to the target (i.e., radial distance). The routines included here fit smooth (parametric) curves to histograms of observation distances and use those functions to compute effective sampling distances, density of targets in the surveyed area, and abundance of targets in a surrounding study area. Curve shapes include the half-normal, haza [...truncated...]
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

Diff between Rdistance versions 4.0.3 dated 2025-03-29 and 4.0.5 dated 2025-04-10

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Package arcgisplaces updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-15

Title: Search for POIs using ArcGIS 'Places Service'
Description: The ArcGIS 'Places service' is a ready-to-use location service that can search for businesses and geographic locations around the world. It allows you to find, locate, and discover detailed information about each place. Query for places near a point, within a bounding box, filter based on categories, or provide search text. 'arcgisplaces' integrates with 'sf' for out of the box compatibility with other spatial libraries. Learn more in the 'Places service' API reference <https://developers.arcgis.com/rest/places/>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisplaces versions 0.1.1 dated 2025-01-15 and 0.1.2 dated 2025-04-10

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Package SQLove updated to version 1.0.1 with previous version 0.0.4 dated 2023-11-13

Title: Execute 'SQL' Scripts in 'R' Containing Multiple Queries
Description: The nature of working with structured query language ('SQL') scripts efficiently often requires the creation of temporary tables and there are few clean and simple 'R' 'SQL' execution approaches that allow you to complete this kind of work with the 'R' environment. This package seeks to give 'SQL' implementations in 'R' a little love by deploying functions that allow you to deploy complex 'SQL' scripts within a typical 'R' workflow.
Author: Kerns Sam [aut, cre]
Maintainer: Kerns Sam <samwkerns@gmail.com>

Diff between SQLove versions 0.0.4 dated 2023-11-13 and 1.0.1 dated 2025-04-10

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New package ztils with initial version 1.0.0
Package: ztils
Title: Various Common Statistical Utilities
Version: 1.0.0
Description: Utilities for simplifying common statistical operations including probability density functions, cumulative distribution functions, Kolmogorov-Smirnov tests, principal component analysis plots, and prediction plots.
License: MIT + file LICENSE
URL: https://zachpeagler.github.io/ztils/, https://github.com/zachpeagler/ztils
BugReports: https://github.com/zachpeagler/ztils/issues
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: ggplot2, MASS, scico, vegan
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 17:22:52 UTC; Zach
Author: Zach Peagler [aut, cre, cph]
Maintainer: Zach Peagler <zachpeagler00@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:30:01 UTC

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Package TruncExpFam updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-26

Title: Truncated Exponential Family
Description: Handles truncated members from the exponential family of probability distributions. Contains functions such as rtruncnorm() and dtruncpois(), which are truncated versions of rnorm() and dpois() from the stats package that also offer richer output containing, for example, the distribution parameters. It also provides functions to retrieve the original distribution parameters from a truncated sample by maximum-likelihood estimation.
Author: Rene Holst [aut], Waldir Leoncio [cre, aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between TruncExpFam versions 1.2.0 dated 2024-09-26 and 1.2.1 dated 2025-04-10

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New package tickr with initial version 1.0.2
Package: tickr
Title: Consistent Axis Tick Marks
Version: 1.0.2
Maintainer: Benjamin C. Williams <kleheni@gmail.com>
Description: This is a small package to provide consistent tick marks for plotting 'ggplot2' figures. It provides breaks and labels for 'ggplot2' without requiring 'ggplot2' to be installed.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/ben-williams/tickr
NeedsCompilation: no
Packaged: 2025-04-09 17:00:52 UTC; Ben.Williams
Author: Benjamin C. Williams [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 14:30:05 UTC

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Package tbea updated to version 1.6.1 with previous version 1.5.0 dated 2024-07-01

Title: Pre- And Post-Processing in Bayesian Evolutionary Analyses
Description: Functions are provided for prior specification in divergence time estimation using fossils as well as other kinds of data. It provides tools for interacting with the input and output of Bayesian platforms in evolutionary biology such as 'BEAST2', 'MrBayes', 'RevBayes', or 'MCMCTree'. It Implements a simple measure similarity between probability density functions for comparing prior and posterior Bayesian densities, as well as code for calculating the combination of distributions using conflation of Hill (2008). Functions for estimating the origination time in collections of distributions using the x-intercept (e.g., Draper and Smith, 1998) and stratigraphic intervals (Marshall 2010) are also available. Hill, T. 2008. "Conflations of probability distributions". Transactions of the American Mathematical Society, 363:3351-3372. <doi:10.48550/arXiv.0808.1808>, Draper, N. R. and Smith, H. 1998. "Applied Regression Analysis". 1--706. Wiley Interscience, New York. <DOI:10.1002/978111 [...truncated...]
Author: Gustavo A. Ballen [aut, cre], Sandra Reinales [aut]
Maintainer: Gustavo A. Ballen <gustavo.a.ballen@gmail.com>

Diff between tbea versions 1.5.0 dated 2024-07-01 and 1.6.1 dated 2025-04-10

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Package RCMsize updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-02

Title: Sample Size Calculation in Reversible Catalytic Models
Description: Sample size and confidence interval calculations in reversible catalytic models, with applications in malaria research. Further details can be found in the paper by Sepúlveda and Drakeley (2015, <doi:10.1186/s12936-015-0661-z>).
Author: Marcia Graca [aut, cre], Fernanda Diamantino [aut, ths], Nuno Sepulveda [aut, ctb, ths]
Maintainer: Marcia Graca <marcia_da_graca@hotmail.com>

Diff between RCMsize versions 1.0.0 dated 2024-12-02 and 1.0.1 dated 2025-04-10

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New package piiR with initial version 0.2.0
Package: piiR
Title: Predictive Information Index ('PII')
Version: 0.2.0
Maintainer: Kevin E. Wells <kevin.e.wells@usm.edu>
Description: A simple implementation of the Predictive Information Index ('PII') using mutual information and entropy from the 'infotheo' package. For related methodology, see Wells (2025) <https://github.com/TheotherDrWells/piiR>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats (>= 3.6.0), infotheo (>= 1.2.0), pROC (>= 1.18.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-04-09 16:42:19 UTC; w10105397
Author: Kevin E. Wells [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 14:30:08 UTC

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New package neuroim2 with initial version 0.8.1
Package: neuroim2
Title: Data Structures for Brain Imaging Data
Version: 0.8.1
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Maintainer: Bradley R Buchsbaum <brad.buchsbaum@gmail.com>
Description: A collection of data structures and methods for handling volumetric brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array implementations, memory-mapped file access for large datasets, and spatial transformation capabilities. Implements methods for image resampling, spatial filtering, region of interest analysis, and connected component labeling. General introduction to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis", <ISBN:9781108795760>).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Depends: R (>= 4.3.0), Matrix
Imports: purrr, assertthat, mmap, Rcpp, RcppParallel, RNifti, dbscan, stringr, methods, colorplane, bigstatsr, RNiftyReg, future.apply, deflist, crayon, ggplot2, magrittr
Suggests: testthat, covr, knitr, roxygen2, rmarkdown, Gmedian, R.utils, spelling
URL: https://github.com/bbuchsbaum/neuroim2, https://bbuchsbaum.github.io/neuroim2/
BugReports: https://github.com/bbuchsbaum/neuroim2/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2025-04-09 21:31:43 UTC; bbuchsbaum
Author: Bradley R Buchsbaum [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-04-10 14:50:06 UTC

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New package MCSimMod with initial version 0.9
Package: MCSimMod
Title: Working with 'MCSim' Models
Version: 0.9
Description: Tools that facilitate ordinary differential equation (ODE) modeling in 'R'. This package allows one to perform simulations for ODE models that are encoded in the GNU 'MCSim' model specification language (Bois, 2009) <doi:10.1093/bioinformatics/btp162> using ODE solvers from the 'R' package 'deSolve' (Soetaert et al., 2010) <doi:10.18637/jss.v033.i09>.
Depends: methods, tools
Imports: deSolve
URL: https://CRAN.R-project.org/package=MCSimMod, https://github.com/USEPA/MCSimMod
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-09 18:56:47 UTC; dkapraun
Author: Dustin F. Kapraun [aut, cre] , Todd J. Zurlinden [aut] , Andrew J. Shapiro [aut] , Ryan D. Friese [aut] , Frederic Y. Bois [ctb] , Free Software Foundation, Inc. [cph]
Maintainer: Dustin F. Kapraun <kapraun.dustin@epa.gov>
Repository: CRAN
Date/Publication: 2025-04-10 14:40:06 UTC

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New package marcox with initial version 1.0.0
Package: marcox
Title: Marginal Hazard Ratio Estimation in Clustered Failure Time Data
Version: 1.0.0
Description: Estimation of marginal hazard ratios in clustered failure time data. It implements the weighted generalized estimating equation approach based on a semiparametric marginal proportional hazards model (See Niu, Y. Peng, Y.(2015). "A new estimating equation approach for marginal hazard ratio estimation"), accounting for within-cluster correlations. 5 different correlation structures are supported. The package is designed for researchers in biostatistics and epidemiology who require accurate and efficient estimation methods for survival analysis in clustered data settings.
Depends: R (>= 4.4.0), Matrix
Imports: Rcpp, RcppEigen, survival, ggplot2, stats
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
Maintainer: Junyi Chen <2655088079@qq.com>
License: GPL-3
NeedsCompilation: yes
Packaged: 2025-04-09 09:55:26 UTC; NTLDR
Author: Junyi Chen [aut, cre], Siqi Zhou [ctb], Shida Li [ctb], Yi Niu [aut]
Repository: CRAN
Date/Publication: 2025-04-10 14:20:02 UTC

More information about marcox at CRAN
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New package geoprofiler with initial version 0.0.2
Package: geoprofiler
Title: Perpendicular Line Transects for Geosciences
Version: 0.0.2
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
License: GPL (>= 3)
URL: https://tobiste.github.io/geoprofiler/
BugReports: https://github.com/tobiste/geoprofiler/issues
Depends: R (>= 4.1.0)
Imports: dplyr, sf, tectonicr, terra, units
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tidyterra
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-09 16:42:59 UTC; tstephan
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:30:12 UTC

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New package EZFragility with initial version 1.0.3
Package: EZFragility
Title: Compute Neural Fragility for Ictal iEEG Time Series
Version: 1.0.3
Description: Provides tools to compute the neural fragility matrix from intracranial electrocorticographic (iEEG) recordings, enabling the analysis of brain dynamics during seizures. The package implements the method described by Li et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for data preprocessing (`Epoch`), fragility computation (`calcAdjFrag`), and visualization.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: stats, methods, ggplot2 (>= 3.4.0), viridis, ggtext, glue, rlang, foreach, progress, ramify, reshape2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), doSNOW
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 17:51:22 UTC; jiewang
Author: Jiefei Wang [aut, cre] , Anne-Cecile Lesage [aut] , Ioannis Malagaris [aut] , Oliver Zhou [ctb], Liliana Camarillo Rodriguez [ctb] , Sean O'Leary [ctb] , Patrick Karas [ctb]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-10 14:40:09 UTC

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New package clootl with initial version 0.1.1
Package: clootl
Title: Fetch and Explore the Cornell Lab of Ornithology Open Tree of Life Avian Phylogeny
Version: 0.1.1
Maintainer: Eliot Miller <clootlmaintainers@gmail.com>
URL: https://github.com/eliotmiller/clootl
BugReports: https://github.com/eliotmiller/clootl/issues
Depends: R (>= 4.3.0), ape
Imports: stats, dplyr, RCurl, jsonlite
LazyData: true
LazyDataCompression: xz
Description: Fetches the Cornell Lab of Ornithology Open Tree of Life (clootl) tree in a specified taxonomy. Optionally prune it to a given set of study taxa. Provide a recommended citation list for the studies that informed the extracted tree. Tree generated as described in McTavish et al. (2024) <doi:10.1101/2024.05.20.595017>.
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 19:28:43 UTC; luna
Author: Eliot Miller [aut, cre], Emily Jane McTavish [aut], Luna L. Sanchez Reyes [ctb, aut]
Repository: CRAN
Date/Publication: 2025-04-10 14:40:02 UTC

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Package psc updated to version 1.2.0 with previous version 1.1.0 dated 2024-12-12

Title: Personalised Synthetic Controls
Description: Allows the comparison of data cohorts (DC) against a Counter Factual Model (CFM) and measures the difference in terms of an efficacy parameter. Allows the application of Personalised Synthetic Controls.
Author: Richard Jackson [cre, aut, cph]
Maintainer: Richard Jackson <richJ23@liverpool.ac.uk>

Diff between psc versions 1.1.0 dated 2024-12-12 and 1.2.0 dated 2025-04-10

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Package priorsense updated to version 1.1.0 with previous version 1.0.4 dated 2024-11-01

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

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Package gemini.R updated to version 0.12.0 with previous version 0.11.0 dated 2025-03-29

Title: Interface for 'Google Gemini' API
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
Author: Jinhwan Kim [aut, cre, cph] , Maciej Nasinski [ctb]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>

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Package bayesplot updated to version 1.12.0 with previous version 1.11.1 dated 2024-02-15

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut], Paul-Christian Buerkner [ctb], Martin Modrak [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Teemu Sailynoja [ctb], Aki Vehtari [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package r2sundials updated to version 7.2.1-3 with previous version 6.5.0-5 dated 2024-07-22

Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:1 [...truncated...]
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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 r2sundials-7.2.1-3/r2sundials/src/lib/sundials/sundials_version.c                             |   35 
 r2sundials-7.2.1-3/r2sundials/src/lib/sunlinsol/band/sunlinsol_band.c                         |  172 
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 r2sundials-7.2.1-3/r2sundials/src/r2sundials.cpp                                              |   33 
 r2sundials-7.2.1-3/r2sundials/src/sunlinsol_rmumps.cpp                                        |   23 
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New package PwePred with initial version 1.0.0
Package: PwePred
Title: Event/Timeline Prediction Model Based on Piecewise Exponential
Imports: graphics, grDevices, stats, methods, utils, segmented, foreach, doSNOW, parallel
Depends: survival, fastmatch
Suggests: knitr, RColorBrewer, rmarkdown
Version: 1.0.0
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>
Description: Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2025-04-09 07:04:01 UTC; xut13
Date/Publication: 2025-04-10 10:00:02 UTC
NeedsCompilation: no
Author: Tianchen Xu [aut, cre]

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New package puff with initial version 0.1.0
Package: puff
Title: Simulate and Visualize the Gaussian Puff Forward Atmospheric Model
Version: 0.1.0
Description: Simulate and run the Gaussian puff forward atmospheric model in sensor (specific sensor coordinates) or grid (across the grid of a full oil and gas operations site) modes, following Jia, M., Fish, R., Daniels, W., Sprinkle, B. and Hammerling, D. (2024) <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous visualization options, including static and animated, 2D and 3D, and a site map generator based on sensor and source coordinates.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Hammerling-Research-Group/puff
BugReports: https://github.com/Hammerling-Research-Group/puff/issues
Depends: R (>= 4.1.0)
Imports: ggplot2, dplyr, tidyr, magrittr, htmlwidgets, patchwork, plotly, scales, tidyselect
Suggests: knitr, rmarkdown, devtools, akima, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 14:38:08 UTC; philipwaggoner
Author: Teagan Ward [aut], Philip Waggoner [aut, cre], Will Daniels [aut], Meng Jia [aut], Dorit Hammerling [aut, ths]
Maintainer: Philip Waggoner <philip.waggoner@mines.edu>
Repository: CRAN
Date/Publication: 2025-04-10 09:40:02 UTC

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New package isard with initial version 0.1.0
Package: isard
Title: Overflow Data for Quantitative Peace Science Research
Version: 0.1.0
Depends: R (>= 3.5.0)
Description: These are data and functions to support quantitative peace science research. The data are important state-year information on democracy and wealth, which require periodic updates and regular maintenance. The functions permit some exploratory and diagnostic assessment of the kinds of data in demand by the community, but do not impose many dependencies on the user.
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: peacesciencer, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-09 13:01:55 UTC; steve
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>
Repository: CRAN
Date/Publication: 2025-04-10 09:10:01 UTC

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New package hera with initial version 0.1.1
Package: hera
Title: Companion to the 'xeus-r' 'jupyter' Kernel
Version: 0.1.1
Description: Set of R functions to be coupled with the 'xeus-r' 'jupyter' kernel in order to drive execution of code in notebook input cells, how R objects are to be displayed in output cells, and handle two way communication with the front end through comms.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, evaluate, glue, IRdisplay, jsonlite, R6, repr, rlang, tools, utils
URL: https://github.com/jupyter-xeus/xeus-r
BugReports: https://github.com/jupyter-xeus/xeus-r/issues
NeedsCompilation: no
Packaged: 2025-04-09 12:54:37 UTC; romainfrancois
Author: Romain Francois [aut, cre], QuantStack [cph]
Maintainer: Romain Francois <romain@tada.science>
Repository: CRAN
Date/Publication: 2025-04-10 09:10:05 UTC

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New package correlationr with initial version 0.1.0
Package: correlationr
Title: Conduct Robust Correlations on Non-Normal Data
Version: 0.1.0
Maintainer: Aurora Robert <roberta5@myumanitoba.ca>
Description: Allows you to conduct robust correlations on your non-normal data set. The robust correlations included in the package are median-absolute-deviation and median-based correlations. Li, J.C.H. (2022) <doi:10.5964/meth.8467>.
URL: https://liqas.org/1-correlationr-package/, https://github.com/Aurora-UofM/correlationr
BugReports: https://github.com/Aurora-UofM/correlationr/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr, stats
NeedsCompilation: no
Packaged: 2025-04-09 14:18:49 UTC; aurorarobert
Author: Johnson Li [aut] , Aurora Robert [cre, aut]
Repository: CRAN
Date/Publication: 2025-04-10 09:40:05 UTC

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Package websocket updated to version 1.4.4 with previous version 1.4.2 dated 2024-07-22

Title: 'WebSocket' Client Library
Description: Provides a 'WebSocket' client interface for R. 'WebSocket' is a protocol for low-overhead real-time communication: <https://en.wikipedia.org/wiki/WebSocket>.
Author: Winston Chang [aut, cre], Joe Cheng [aut], Alan Dipert [aut], Barbara Borges [aut], Posit, PBC [cph], Peter Thorson [ctb, cph] , Rene Nyffenegger [ctb, cph] , Micael Hildenborg [ctb, cph] , Aladdin Enterprises [cph] , Bjoern Hoehrmann [ctb, cph]
Maintainer: Winston Chang <winston@posit.co>

Diff between websocket versions 1.4.2 dated 2024-07-22 and 1.4.4 dated 2025-04-10

 DESCRIPTION         |    6 +++---
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 8 files changed, 52 insertions(+), 40 deletions(-)

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New package TukeyC with initial version 1.3-43
Package: TukeyC
Title: Conventional Tukey Test
Version: 1.3-43
Date: 2025-04-09
Maintainer: Ivan Bezerra Allaman <ivanalaman@gmail.com>
Depends: R (>= 2.6.0)
Imports: doBy, xtable
Suggests: pbkrtest (>= 0.4-6), lme4
Description: Provides tools to perform multiple comparison analyses, based on the well-known Tukey's "Honestly Significant Difference" (HSD) test. In models involving interactions, 'TukeyC' stands out from other R packages by implementing intuitive and easy-to-use functions. In addition to accommodating traditional R methods such as lm() and aov(), it has also been extended to objects of the lmer() class, that is, mixed models with fixed effects. For more details see Tukey (1949) <doi:10.2307/3001913>.
License: GPL (>= 2)
URL: https://github.com/jcfaria/TukeyC
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-04-09 23:55:41 UTC; iballaman
Author: Jose Claudio Faria [aut], Enio G. Jelihovschi [aut], Ivan Bezerra Allaman [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-10 08:50:08 UTC

More information about TukeyC at CRAN
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Package this.path updated to version 2.7.0 with previous version 2.6.0 dated 2024-12-18

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

Diff between this.path versions 2.6.0 dated 2024-12-18 and 2.7.0 dated 2025-04-10

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Package shinytest2 updated to version 0.4.0 with previous version 0.3.2 dated 2024-04-28

Title: Testing for Shiny Applications
Description: Automated unit testing of Shiny applications through a headless 'Chromium' browser.
Author: Barret Schloerke [cre, aut] , Posit Software, PBC [cph, fnd], Winston Chang [ctb] , Gabor Csardi [ctb] , Hadley Wickham [ctb] , Mango Solutions [cph, ccp]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between shinytest2 versions 0.3.2 dated 2024-04-28 and 0.4.0 dated 2025-04-10

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 NAMESPACE                                       |   15 -
 NEWS.md                                         |   21 +
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Package ragg updated to version 1.4.0 with previous version 1.3.3 dated 2024-09-11

Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] , Maxim Shemanarev [aut, cph] , Tony Juricic [ctb, cph] , Milan Marusinec [ctb, cph] , Spencer Garrett [ctb] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ragg versions 1.3.3 dated 2024-09-11 and 1.4.0 dated 2025-04-10

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More information about ragg at CRAN
Permanent link

Package heatwaveR updated to version 0.5.4 with previous version 0.4.6 dated 2021-10-27

Title: Detect Heatwaves and Cold-Spells
Description: The different methods for defining, detecting, and categorising the extreme events known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014> and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air and water temperature data. These detection algorithms may be used on non-temperature data as well.
Author: Robert W. Schlegel [aut, cre, ctb] , Albertus J. Smit [aut, ctb]
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

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Package future updated to version 1.40.0 with previous version 1.34.0 dated 2024-07-29

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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More information about future at CRAN
Permanent link

New package ernm with initial version 1.0.0
Package: ernm
Title: Exponential-Family Random Network Models
Version: 1.0.0
Date: 2025-04-08
Description: Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.
License: LGPL-2.1
Depends: R (>= 3.5.0), BH, methods, network, Rcpp
Imports: dplyr, ggplot2, graphics, moments, rlang, stats, tidyr, trust
Suggests: spelling, testthat
LinkingTo: BH, Rcpp
Copyright: @ 2014-2025 Ian Fellows
Encoding: UTF-8
Language: en-US
LazyData: true
LazyLoad: yes
RcppModules: ernm
NeedsCompilation: yes
Packaged: 2025-04-09 11:13:22 UTC; dac6
Author: Ian Fellows [aut], Duncan Clark [aut, cre]
Maintainer: Duncan Clark <dac6@williams.edu>
Repository: CRAN
Date/Publication: 2025-04-10 08:50:04 UTC

More information about ernm at CRAN
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New package ARTool with initial version 0.11.2
Package: ARTool
Title: Aligned Rank Transform
Version: 0.11.2
Date: 2025-04-09
Maintainer: Matthew Kay <mjskay@northwestern.edu>
Description: The aligned rank transform for nonparametric factorial ANOVAs as described by Wobbrock, Findlater, Gergle, and Higgins (2011) <doi:10.1145/1978942.1978963>. Also supports aligned rank transform contrasts as described by Elkin, Kay, Higgins, and Wobbrock (2021) <doi:10.1145/3472749.3474784>.
Depends: R (>= 3.2)
Imports: lme4, car (>= 2.0-24), plyr, magrittr, dplyr, emmeans
Suggests: testthat (>= 0.10.0), knitr, rmarkdown, ggplot2, tidyr, pander, lmerTest, cluster, phia, survival, psych, stringi, DescTools, tibble, covr
License: GPL (>= 2)
Language: en-US
BugReports: https://github.com/mjskay/ARTool/issues
URL: https://github.com/mjskay/ARTool/
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-10 05:37:43 UTC; matth
Author: Matthew Kay [aut, cre], Lisa A. Elkin [aut], James J. Higgins [aut], Jacob O. Wobbrock [aut]
Repository: CRAN
Date/Publication: 2025-04-10 08:20:02 UTC

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Package ggalign updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-15

Title: A 'ggplot2' Extension for Consistent Axis Alignment
Description: A 'ggplot2' extension offers various tools the creation of complex, multi-plot visualizations. Built on the familiar grammar of graphics, it provides intuitive tools to align and organize plots, making it ideal for complex visualizations. It excels in multi-omics research—such as genomics and microbiomes—by simplifying the visualization of intricate relationships between datasets, for example, linking genes to pathways. Whether you need to stack plots, arrange them around a central figure, or create a circular layout, 'ggalign' delivers flexibility and accuracy with minimal effort.
Author: Yun Peng [aut, cre] , Shixiang Wang [aut] , Guangchuang Yu [ths]
Maintainer: Yun Peng <yunyunp96@163.com>

Diff between ggalign versions 1.0.0 dated 2025-03-15 and 1.0.1 dated 2025-04-10

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 ggalign-1.0.1/ggalign/NAMESPACE                                                                   |    7 
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Package frair updated to version 0.5.203 with previous version 0.5.100 dated 2017-03-26

Title: Tools for Functional Response Analysis
Description: Tools to support sensible statistics for functional response analysis.
Author: Daniel Pritchard [aut, cre], Daniel Barrios-O'Neill [ctb], Helene Bovy [ctb], Rachel Paterson [ctb]
Maintainer: Daniel Pritchard <daniel@pritchard.co>

Diff between frair versions 0.5.100 dated 2017-03-26 and 0.5.203 dated 2025-04-10

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Package zoo updated to version 1.8-14 with previous version 1.8-13 dated 2025-02-22

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre] , Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between zoo versions 1.8-13 dated 2025-02-22 and 1.8-14 dated 2025-04-10

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Package MetaNet updated to version 0.2.5 with previous version 0.1.2 dated 2024-03-25

Title: Network Analysis for Omics Data
Description: Comprehensive network analysis package. Calculate correlation network fastly, accelerate lots of analysis by parallel computing. Support for multi-omics data, search sub-nets fluently. Handle bigger data, more than 10,000 nodes in each omics. Offer various layout method for multi-omics network and some interfaces to other software ('Gephi', 'Cytoscape', 'ggplot2'), easy to visualize. Provide comprehensive topology indexes calculation, including ecological network stability.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>

Diff between MetaNet versions 0.1.2 dated 2024-03-25 and 0.2.5 dated 2025-04-10

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More information about MetaNet at CRAN
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Package optimx updated to version 2025-4.9 with previous version 2024-12.2 dated 2024-12-10

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Hans W Borchers [ctb], Gabor Grothendieck [ctb]
Maintainer: John C Nash <profjcnash@gmail.com>

Diff between optimx versions 2024-12.2 dated 2024-12-10 and 2025-4.9 dated 2025-04-10

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Package mlflow updated to version 2.21.3 with previous version 2.21.2 dated 2025-04-02

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

Diff between mlflow versions 2.21.2 dated 2025-04-02 and 2.21.3 dated 2025-04-10

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More information about mlflow at CRAN
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Wed, 09 Apr 2025

Package tomledit updated to version 0.1.1 with previous version 0.1.0 dated 2025-02-13

Title: Parse, Read, and Edit 'TOML'
Description: A toolkit for working with 'TOML' files in R while preserving formatting, comments, and structure. 'tomledit' enables serialization of R objects such as lists, data.frames, numeric, logical, and date vectors.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between tomledit versions 0.1.0 dated 2025-02-13 and 0.1.1 dated 2025-04-09

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Package FPCdpca updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-27

Title: The FPCdpca Criterion on Distributed Principal Component Analysis
Description: We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Jiarui Li [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between FPCdpca versions 0.1.0 dated 2024-05-27 and 0.2.0 dated 2025-04-09

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Package rjaf updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-16

Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Description: Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.
Author: Wenbo Wu [aut, cph] , Xinyi Zhang [aut, cre, cph] , Jann Spiess [aut, cph] , Rahul Ladhania [aut, cph]
Maintainer: Xinyi Zhang <zhang.xinyi@nyu.edu>

Diff between rjaf versions 0.1.2 dated 2025-02-16 and 0.1.3 dated 2025-04-09

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Package ip2locationio updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-31

Title: Lookup Geolocation and Proxy Information using 'IP2Location.io' API
Description: Query for enriched data such as country, region, city, latitude & longitude, ZIP code, time zone, Autonomous System, Internet Service Provider, domain, net speed, International direct dialing (IDD) code, area code, weather station data, mobile data, elevation, usage type, address type, advertisement category, fraud score, and proxy data with an IP address. You can also query a list of hosted domain names for the IP address too. This package uses the 'IP2Location.io' API to query this data. To get started with a free API key, sign up here <https://www.ip2location.io/sign-up?ref=1>.
Author: IP2Location.io [aut, cre]
Maintainer: IP2Location.io <support@ip2location.io>

Diff between ip2locationio versions 1.0.0 dated 2024-10-31 and 1.1.0 dated 2025-04-09

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Package epiR updated to version 2.0.81 with previous version 2.0.80 dated 2025-01-30

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.80 dated 2025-01-30 and 2.0.81 dated 2025-04-09

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Package VisCov updated to version 1.6.0 with previous version 1.5.0 dated 2024-12-04

Title: Visualizing of Distributions of Covariance Matrices
Description: Visualizing of distributions of covariance matrices. The package implements the methodology described in Tokuda, T., Goodrich, B., Van Mechelen, I., Gelman, A., & Tuerlinckx, F. (2012) <https://sites.stat.columbia.edu/gelman/research/unpublished/Visualization.pdf>.
Author: Tomoki Tokuda [aut], Ben Goodrich [ctb], Iven Van Mechelen [ctb], Andrew Gelman [ctb], Francis Tuerlinckx [ctb], Kristof Meers [cre]
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>

Diff between VisCov versions 1.5.0 dated 2024-12-04 and 1.6.0 dated 2025-04-09

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Package TreeSearch updated to version 1.6.0 with previous version 1.5.1 dated 2024-05-23

Title: Phylogenetic Analysis with Discrete Character Data
Description: Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.
Author: Martin R. Smith [aut, cre, cph] , Martin Brazeau [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeSearch versions 1.5.1 dated 2024-05-23 and 1.6.0 dated 2025-04-09

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Package EGAnet updated to version 2.3.0 with previous version 2.2.0 dated 2025-03-07

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package cartogramR updated to version 1.5-0 with previous version 1.2-0 dated 2024-09-03

Title: Continuous Cartogram
Description: Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).
Author: Pierre-Andre Cornillon [aut, cre], Florent Demoraes [aut], Flow-Based-Cartograms [cph]
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>

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Package watcher updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-25

Title: Watch the File System for Changes
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or run an R function every time a change event occurs.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package quickcode updated to version 1.0.7 with previous version 1.0.6 dated 2025-03-02

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package mtsdi updated to version 0.3.7 with previous version 0.3.5 dated 2018-01-23

Title: Multivariate Time Series Data Imputation
Description: This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.
Author: Washington Junger [aut, cre], Antonio Ponce de Leon [ctb]
Maintainer: Washington Junger <wjunger@ims.uerj.br>

Diff between mtsdi versions 0.3.5 dated 2018-01-23 and 0.3.7 dated 2025-04-09

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Package mortAAR updated to version 1.1.8 with previous version 1.1.7 dated 2025-01-12

Title: Analysis of Archaeological Mortality Data
Description: A collection of functions for the analysis of archaeological mortality data (on the topic see e.g. Chamberlain 2006 <https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>). It takes demographic data in different formats and displays the result in a standard life table as well as plots the relevant indices (percentage of deaths, survivorship, probability of death, life expectancy, percentage of population). It also checks for possible biases in the age structure and applies corrections to life tables.
Author: Nils Mueller-Scheessel [aut, cre, cph] , Martin Hinz [aut], Clemens Schmid [aut], Christoph Rinne [aut], Daniel Knitter [aut], Wolfgang Hamer [aut], Dirk Seidensticker [aut], Franziska Faupel [aut], Carolin Tietze [aut], Nicole Grunert [aut]
Maintainer: Nils Mueller-Scheessel <nils.mueller-scheessel@ufg.uni-kiel.de>

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Package homomorpheR updated to version 0.3 with previous version 0.2-2 dated 2019-01-23

Title: Homomorphic Computations in R
Description: Homomorphic computations in R for privacy-preserving applications. Currently only the Paillier Scheme is implemented.
Author: Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package qPRAentry updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-17

Title: Quantitative Pest Risk Assessment at the Entry Step
Description: Supports risk assessors in performing the entry step of the quantitative Pest Risk Assessment. It allows the estimation of the amount of a plant pest entering a risk assessment area (in terms of founder populations) through the calculation of the imported commodities that could be potential pathways of pest entry, and the development of a pathway model. Two 'Shiny' apps based on the functionalities of the package are included, that simplify the process of assessing the risk of entry of plant pests. The approach is based on the work of the European Food Safety Authority (EFSA PLH Panel et al., 2018) <doi:10.2903/j.efsa.2018.5350>.
Author: Martina Cendoya [aut, cre] , Maria Chiara Rosace [aut]
Maintainer: Martina Cendoya <cendoya_marmar@gva.es>

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Package naijR updated to version 0.6.2 with previous version 0.6.1 dated 2024-10-10

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] , Laura DeCicco [ctb], Emily Riederer [rev], Margaret Siple [rev], Cagri Alican [rev]
Maintainer: Victor Ordu <victorordu@outlook.com>

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Package ale updated to version 0.5.0 with previous version 0.3.1 dated 2025-03-10

Title: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE)
Description: Accumulated Local Effects (ALE) were initially developed as a model-agnostic approach for global explanations of the results of black-box machine learning algorithms. ALE has a key advantage over other approaches like partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its values represent a clean functional decomposition of the model. As such, ALE values are not affected by the presence or absence of interactions among variables in a mode. Moreover, its computation is relatively rapid. This package reimplements the algorithms for calculating ALE data and develops highly interpretable visualizations for plotting these ALE values. It also extends the original ALE concept to add bootstrap-based confidence intervals and ALE-based statistics that can be used for statistical inference. For more details, see Okoli, Chitu. 2023. “Statistical Inference Using Machine Learning and Classical Techniques Based on Accumulated Local Effects (ALE).” arXiv. <doi:10.48550/arXiv.2 [...truncated...]
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>

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Package restatis updated to version 0.3.0 with previous version 0.2.0 dated 2024-07-25

Title: R Wrapper to Access a Wide Range of Germany's Federal Statistical System Databases Based on the GENESIS Web Service RESTful API of the German Federal Statistical Office (Statistisches Bundesamt/Destatis)
Description: A RESTful API wrapper for accessing the GENESIS database of the German Federal Statistical Office (Destatis) as well as its Census Database and the database of Germany's regional statistics. Supports data search functions, credential management, result caching, and handling remote background jobs for large datasets.
Author: Yannik Buhl [aut, cre], Zoran Kovacevic [aut] , Dorian Le Jeune [aut], Long Nguyen [aut] , Johannes Ritter [aut]
Maintainer: Yannik Buhl <ybuhl@posteo.de>

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Package ChemoSpec2D updated to version 0.5.1 with previous version 0.5.0 dated 2021-10-11

Title: Exploratory Chemometrics for 2D Spectroscopy
Description: A collection of functions for exploratory chemometrics of 2D spectroscopic data sets such as COSY (correlated spectroscopy) and HSQC (heteronuclear single quantum coherence) 2D NMR (nuclear magnetic resonance) spectra. 'ChemoSpec2D' deploys methods aimed primarily at classification of samples and the identification of spectral features which are important in distinguishing samples from each other. Each 2D spectrum (a matrix) is treated as the unit of observation, and thus the physical sample in the spectrometer corresponds to the sample from a statistical perspective. In addition to chemometric tools, a few tools are provided for plotting 2D spectra, but these are not intended to replace the functionality typically available on the spectrometer. 'ChemoSpec2D' takes many of its cues from 'ChemoSpec' and tries to create consistent graphical output and to be very user friendly.
Author: Bryan A. Hanson [aut, cre]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package immunaut updated to version 1.0.2 with previous version 1.0.0 dated 2024-10-25

Title: Machine Learning Immunogenicity and Vaccine Response Analysis
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Maintainer: Ivan Tomic <info@ivantomic.com>

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Package FLASHMM updated to version 1.2.1 with previous version 1.2.0 dated 2025-03-31

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], Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>

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Package Surrogate updated to version 3.4.0 with previous version 3.3.3 dated 2025-02-11

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.
Author: Wim Van Der Elst [cre, aut], Florian Stijven [aut], Fenny Ong [aut], Dries De Witte [aut], Gokce Deliorman [aut], Paul Meyvisch [aut], Alvaro Poveda [aut], Ariel Alonso [aut], Hannah Ensor [aut], Christoper Weir [aut], Geert Molenberghs [aut]
Maintainer: Wim Van Der Elst <wim.vanderelst@gmail.com>

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New package stilt with initial version 1.3.1
Package: stilt
Title: Separable Gaussian Process Interpolation (Emulation)
Version: 1.3.1
Date: 2025-04-09
Maintainer: Kelsey Ruckert <datamgmt@scrim.psu.edu>
Description: Functions for simplified emulation of time series computer model output in model parameter space using Gaussian processes. Stilt can be used more generally for Kriging of spatio-temporal fields. There are functions to predict at new parameter settings, to test the emulator using cross-validation (which includes information on 95% confidence interval empirical coverage), and to produce contour plots over 2D slices in model parameter space.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: fields
LazyLoad: no
Packaged: 2025-04-09 14:24:41 UTC; klr324
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2025-04-09 16:40:02 UTC
Author: Roman Olson [aut], Won Chang [aut], Klaus Keller [aut], Murali Haran [aut], Kelsey Ruckert [cre]

More information about stilt at CRAN
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Package osmextract updated to version 0.5.3 with previous version 0.5.2 dated 2024-11-22

Title: Download and Import Open Street Map Data Extracts
Description: Match, download, convert and import Open Street Map data extracts obtained from several providers.
Author: Andrea Gilardi [aut, cre] , Robin Lovelace [aut] , Barry Rowlingson [ctb] , Salva Fernandez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] for rOpenSci, see <https://github.com/ropensci/soft [...truncated...]
Maintainer: Andrea Gilardi <andrea.gilardi@unimib.it>

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Package oncmap updated to version 0.1.7 with previous version 0.1.5 dated 2025-01-27

Title: Analyze Data from Electronic Adherence Monitoring Devices
Description: Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or “actuation”). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values -- Dose Taken and Correct Dose Taken.
Author: Michal Kouril [aut, cre] , Meghan McGrady [aut] , Mara Constance [aut] , Kevin Hommel [aut]
Maintainer: Michal Kouril <Michal.Kouril@cchmc.org>

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Package bigGP updated to version 0.1.9 with previous version 0.1.8 dated 2023-04-25

Title: Distributed Gaussian Process Calculations
Description: Distributes Gaussian process calculations across nodes in a distributed memory setting, using Rmpi. The bigGP class provides high-level methods for maximum likelihood with normal data, prediction, calculation of uncertainty (i.e., posterior covariance calculations), and simulation of realizations. In addition, bigGP provides an API for basic matrix calculations with distributed covariance matrices, including Cholesky decomposition, back/forwardsolve, crossproduct, and matrix multiplication.
Author: Christopher Paciorek [aut, cre], Benjamin Lipshitz [aut], Prabhat [ctb], Cari Kaufman [ctb], Tina Zhuo [ctb], Rollin Thomas [ctb]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package tbm updated to version 0.3-7 with previous version 0.3-6 dated 2024-04-17

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models as introduced in <DOI:10.1007/s11222-019-09870-4>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package SDModels updated to version 1.0.7 with previous version 1.0.4 dated 2025-02-19

Title: Spectrally Deconfounded Models
Description: Screen for and analyze non-linear sparse direct effects in the presence of unobserved confounding using the spectral deconfounding techniques (Ćevid, Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo, Ćevid, and Bühlmann (2022) <doi:10.1214/21-AOS2152>). These methods have been shown to be a good estimate for the true direct effect if we observe many covariates, e.g., high-dimensional settings, and we have fairly dense confounding. Even if the assumptions are violated, it seems like there is not much to lose, and the deconfounded models will, in general, estimate a function closer to the true one than classical least squares optimization. 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive Models (Scheidegger, Guo, and Bühlmann (2025) <doi:10.1145/3711116>) and SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger, and Bühlmann (2025) <doi:10.48550/arXiv.2502.03969>).
Author: Markus Ulmer [aut, cre, cph] , Cyrill Scheidegger [aut]
Maintainer: Markus Ulmer <markus.ulmer@stat.math.ethz.ch>

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Package runjags updated to version 2.2.2-5 with previous version 2.2.2-4 dated 2024-03-10

Title: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Description: User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
Author: Matthew Denwood [aut, cre], Martyn Plummer [cph]
Maintainer: Matthew Denwood <md@sund.ku.dk>

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Package rice updated to version 1.1.1 with previous version 1.0.0 dated 2025-01-07

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package complements the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package phylospatial updated to version 1.1.0 with previous version 1.0.0 dated 2025-01-24

Title: Spatial Phylogenetic Analysis
Description: Conduct various analyses on spatial phylogenetic diversity patterns. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package HistData updated to version 0.9-3 with previous version 0.9-1 dated 2023-08-09

Title: Data Sets from the History of Statistics and Data Visualization
Description: The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
Author: Michael Friendly [aut, cre] , Stephane Dray [ctb] , Hadley Wickham [ctb], James Hanley [ctb], Dennis Murphy [ctb], Peter Li [ctb], Luiz Droubi [ctb], James Riley [ctb], Antoine de Falguerolles [ctb], Monique Graf [ctb], Neville Verlander [ctb], Brian [...truncated...]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package glmnetcr updated to version 1.0.7 with previous version 1.0.6 dated 2020-07-03

Title: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
Description: Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.
Author: Kellie J. Archer [aut, cre]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package adlift updated to version 1.4-6 with previous version 1.4-5 dated 2023-03-22

Title: An Adaptive Lifting Scheme Algorithm
Description: Adaptive wavelet lifting transforms for signal denoising using optimal local neighbourhood regression, from Nunes et al. (2006) <doi:10.1007/s11222-006-6560-y>.
Author: Matt Nunes [aut, cre], Marina Knight [aut], Guy Nason [ctb, ths]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package ClimClass updated to version 2.1.1 with previous version 2.1.0 dated 2016-08-04

Title: Climate Classification According to Several Indices
Description: Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indices, of water balance after Thornthwaite, of viticultural bioclimatic indices. Drawing climographs: Thornthwaite, Peguy, Bagnouls-Gaussen.
Author: Emanuele Eccel [aut], Fabio Zottele [aut, cre], Emanuele Cordano [aut], Giambattista Toller [aut], Fondazione Edmund Mach [cph]
Maintainer: Fabio Zottele <fabio.zottele@fmach.it>

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Package archeofrag.gui updated to version 1.1.0 with previous version 1.0.0 dated 2025-03-10

Title: Spatial Analysis in Archaeology from Refitting Fragments (GUI)
Description: A 'Shiny' application to access the functionalities and datasets of the 'archeofrag' package for spatial analysis in archaeology from refitting data. Quick and seamless exploration of archaeological refitting datasets, focusing on physical refits only. Features include: built-in documentation and convenient workflow, plot generation and exports, exploration of spatial units merging solutions, simulation of archaeological site formation processes, support for parallel computing, R code generation to re-execute simulations and ensure reproducibility, code generation for the 'openMOLE' model exploration software. A demonstration of the app is available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package SPARRAfairness updated to version 0.1.0.0 with previous version 0.0.0.2 dated 2024-11-07

Title: Analysis of Differential Behaviour of SPARRA Score Across Demographic Groups
Description: The SPARRA risk score (Scottish Patients At Risk of admission and Re-Admission) estimates yearly risk of emergency hospital admission using electronic health records on a monthly basis for most of the Scottish population. This package implements a suite of functions used to analyse the behaviour and performance of the score, focusing particularly on differential performance over demographically-defined groups. It includes useful utility functions to plot receiver-operator-characteristic, precision-recall and calibration curves, draw stock human figures, estimate counterfactual quantities without the need to re-compute risk scores, to simulate a semi-realistic dataset. Our manuscript can be found at: <doi:10.1371/journal.pdig.0000675>.
Author: Ioanna Thoma [aut] , Catalina Vallejos [ctb] , Louis Aslett [ctb] , Jill Ireland [ctb] , Simon Rogers [ctb] , James Liley [cre, aut]
Maintainer: James Liley <james.liley@durham.ac.uk>

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Package spanishoddata updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-18

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package solaR updated to version 0.47 with previous version 0.46 dated 2021-10-19

Title: Radiation and Photovoltaic Systems
Description: Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.
Author: Oscar Perpinan Lamigueiro [cre, aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@upm.es>

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More information about solaR at CRAN
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Package spGARCH updated to version 0.2.3 with previous version 0.2.2 dated 2020-09-02

Title: Spatial ARCH and GARCH Models (spGARCH)
Description: A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <doi:10.1016/j.spasta.2018.07.005>: simulation of spatial ARCH-type processes (spARCH, log/exponential-spARCH, complex-spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.
Author: Philipp Otto [cre, aut]
Maintainer: Philipp Otto <philipp.otto89@gmail.com>

Diff between spGARCH versions 0.2.2 dated 2020-09-02 and 0.2.3 dated 2025-04-09

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 18 files changed, 921 insertions(+), 901 deletions(-)

More information about spGARCH at CRAN
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Package Rlibeemd updated to version 1.4.4 with previous version 1.4.3 dated 2023-09-05

Title: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Description: An R interface for libeemd (Luukko, Helske, Räsänen, 2016) <doi:10.1007/s00180-015-0603-9>, a C library of highly efficient parallelizable functions for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN), the regular empirical mode decomposition (EMD), and bivariate EMD (BEMD). Due to the possible portability issues CRAN version no longer supports OpenMP, but you can install OpenMP-supported version from GitHub: <https://github.com/helske/Rlibeemd/>.
Author: Jouni Helske [aut, cre] , Perttu Luukko [aut]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between Rlibeemd versions 1.4.3 dated 2023-09-05 and 1.4.4 dated 2025-04-09

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Package OptHoldoutSize updated to version 0.1.0.1 with previous version 0.1.0.0 dated 2022-02-18

Title: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score
Description: Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) <doi:10.48550/arXiv.2202.06374> (to appear in Annals of Applied Statistics) for details of methods.
Author: Sami Haidar-Wehbe [aut], Sam Emerson [aut] , Louis Aslett [aut] , James Liley [cre, aut]
Maintainer: James Liley <james.liley@durham.ac.uk>

Diff between OptHoldoutSize versions 0.1.0.0 dated 2022-02-18 and 0.1.0.1 dated 2025-04-09

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 33 files changed, 66 insertions(+), 164 deletions(-)

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Package OPI updated to version 3.0.4 with previous version 3.0.2 dated 2024-07-09

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

Diff between OPI versions 3.0.2 dated 2024-07-09 and 3.0.4 dated 2025-04-09

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 55 files changed, 232 insertions(+), 95 deletions(-)

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Package funkyheatmap updated to version 0.5.2 with previous version 0.5.1 dated 2025-01-15

Title: Generating Funky Heatmaps for Data Frames
Description: Allows generating heatmap-like visualisations for data frames. Funky heatmaps can be fine-tuned by providing annotations of the columns and rows, which allows assigning multiple palettes or geometries or grouping rows and columns together in categories. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut] , Louise Deconinck [ctb] , Artuur Couckuyt [ctb] , Nick Markov [ctb] , Luke Zappia [ctb]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between funkyheatmap versions 0.5.1 dated 2025-01-15 and 0.5.2 dated 2025-04-09

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New package slurm with initial version 2025.4.9
Package: slurm
Version: 2025.4.9
License: GPL-3
Title: Running and Parsing Slurm Commands
Description: User-friendly functions which parse output of command line programs used to query Slurm. Morris A. Jette and Tim Wickberg (2023) <doi:10.1007/978-3-031-43943-8_1> describe Slurm in detail.
Imports: data.table (>= 1.11.6), nc (>= 2019.11.22)
SystemRequirements: Slurm command line programs (sacct, squeue)
Suggests: testthat, ggplot2, R.utils
NeedsCompilation: no
Packaged: 2025-04-09 09:25:44 UTC; hoct2726
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2025-04-09 10:30:02 UTC

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New package seinfitR with initial version 1.0.1
Package: seinfitR
Title: Modeling the Relationship Between Nematode Densities and Plant Growth
Version: 1.0.1
Description: Implements the Seinhorst model to analyze the relationship between initial nematode densities and plant growth response using nonlinear least squares estimation. The package provides tools for model fitting, prediction, and visualization, facilitating the study of plant-nematode interactions. Model parameters can be estimated or set to predefined values based on Seinhorst (1986) <doi:10.1007/978-1-4613-2251-1_11>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: minpack.lm
Suggests: testthat (>= 3.0.0), readxl, knitr, rmarkdown
URL: https://github.com/dslabcena/seinfitR
BugReports: https://github.com/dslabcena/seinfitR/issues
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 20:12:35 UTC; joaon
Author: Deoclecio Amorim [aut] , Joao Novoletti [aut, cre, cph]
Maintainer: Joao Novoletti <joao.novoletti@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:10:02 UTC

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New package robcp with initial version 0.3.8
Package: robcp
Title: Robust Change-Point Tests
Version: 0.3.8
Description: Provides robust methods to detect change-points in uni- or multivariate time series. They can cope with corrupted data and heavy tails. Focus is on the detection of abrupt changes in location, but changes in the scale or dependence structure can be detected as well. This package provides tests for change detection in uni- and multivariate time series based on Huberized versions of CUSUM tests proposed in Duerre and Fried (2019) <DOI:10.48550/arXiv.1905.06201>, and tests for change detection in univariate time series based on 2-sample U-statistics or 2-sample U-quantiles as proposed by Dehling et al. (2015) <DOI:10.1007/978-1-4939-3076-0_12> and Dehling, Fried and Wendler (2020) <DOI:10.1093/biomet/asaa004>. Furthermore, the packages provides tests on changes in the scale or the correlation as proposed in Gerstenberger, Vogel and Wendler (2020) <DOI:10.1080/01621459.2019.1629938>, Dehling et al. (2017) <DOI:10.1017/S026646661600044X>, and Wied et al. (2014) [...truncated...]
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-04-09 08:59:05 UTC; goerz
Author: Sheila Goerz [aut, cre], Alexander Duerre [aut], Roland Fried [ctb, ths]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>
Imports: methods, Rcpp
LinkingTo: Rcpp
Suggests: testthat, MASS, pracma, mvtnorm, cumstats
Repository: CRAN
Date/Publication: 2025-04-09 10:30:05 UTC

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New package npdsim with initial version 1.0.0
Package: npdsim
Title: Simulate Demand and Attributes for New Products
Version: 1.0.0
Description: Simulate demand and attributes for ready to launch new products during their life cycle, or during their introduction and growth phases. You provide the number of products, attributes, time periods and/or other parameters and 'npdsim' can simulate for you the demand for each product during the considered time periods, and the attributes of each product. The simulation for the demand is based on the idea that each product has a shape and a level, where the level is the cumulative demand over the considered time periods, and the shape is the normalized demand across those time periods.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mohammedhichame/npdsim
BugReports: https://github.com/mohammedhichame/npdsim/issues
Imports: dplyr (>= 1.1.4), tidyr (>= 1.3.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 22:41:23 UTC; Hichame
Author: Mohammed Hichame BENBITOUR [aut, cre, cph]
Maintainer: Mohammed Hichame BENBITOUR <res.mhichame@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:20:02 UTC

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New package GBOP2 with initial version 0.1.2
Package: GBOP2
Title: Generalized Bayesian Optimal Phase II Design (G-BOP2)
Version: 0.1.2
Depends: R (>= 4.1.0)
Maintainer: Wanni Lei <wanni.lei17@gmail.com>
Description: Provides functions for implementing the Generalized Bayesian Optimal Phase II (G-BOP2) design using various Particle Swarm Optimization (PSO) algorithms, including: - PSO-Default, based on Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, "Particle Swarm Optimization"; - PSO-Quantum, based on Sun, Xu, and Feng (2004) <doi:10.1109/ICCIS.2004.1460396>, "A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization"; - PSO-Dexp, based on Stehlík et al. (2024) <doi:10.1016/j.asoc.2024.111913>, "A Double Exponential Particle Swarm Optimization with Non-Uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics"; - and PSO-GO.
Imports: tidyr, R6, Rcpp, doParallel, foreach, dplyr, stats, globpso, parallel, utils, RcppArmadillo
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), R.rsp
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
VignetteBuilder: R.rsp
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-08 23:46:44 UTC; wanni
Author: Xinying Fang [aut], Wanni Lei [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-09 10:20:05 UTC

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New package flexoki with initial version 0.0.1
Package: flexoki
Title: Inky Color Schemes
Version: 0.0.1
Description: Provides color palettes designed to be reminiscent of text on paper. The color schemes were taken from <https://stephango.com/flexoki>. Includes discrete, continuous, and binned scales that are not necessarily color-blind friendly. Simple scale and theme functions are available for use with 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, palette, scales
URL: https://github.com/christopherkenny/flexoki, https://christophertkenny.com/flexoki/
BugReports: https://github.com/christopherkenny/flexoki/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-04-08 21:13:07 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2025-04-09 10:10:06 UTC

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New package AdsorpR with initial version 0.1.0
Package: AdsorpR
Title: Adsorption Isotherm Models
Version: 0.1.0
Maintainer: Jajati Mandal <J.Mandal2@salford.ac.uk>
Description: Model adsorption behavior using classical isotherms, including Langmuir, Freundlich, Brunauer–Emmett–Teller (BET), and Temkin models. The package supports parameter estimation through both linearized and non-linear fitting techniques and generates high-quality plots for model diagnostics. It is intended for environmental scientists, chemists, and researchers working on adsorption phenomena in soils, water treatment, and material sciences. Functions are compatible with base 'R' and 'ggplot2' for visualization.
License: GPL
Encoding: UTF-8
Imports: ggplot2, stats
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 09:28:29 UTC; jajatimandal
Author: Jajati Mandal [cre], Sandipan Samanta [aut]
Repository: CRAN
Date/Publication: 2025-04-09 10:30:09 UTC

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New package yfscreen with initial version 0.1.1
Package: yfscreen
Title: Yahoo Finance 'screener' API
Version: 0.1.1
Description: Simple and efficient access to Yahoo Finance's 'screener' API <https://finance.yahoo.com/research-hub/screener/> for querying and retrieval of financial data. The core functionality abstracts the complexities of interacting with Yahoo Finance APIs, such as session management, crumb and cookie handling, query construction, pagination, and JSON payload generation. This abstraction allows users to focus on filtering and retrieving data rather than managing API details. Use cases include screening across a range of security types including equities, mutual funds, ETFs, indices, and futures. The package supports advanced query capabilities, including logical operators, nested filters, and customizable payloads. It automatically handles pagination to ensure efficient retrieval of large datasets by fetching results in batches of up to 250 entries per request. Filters can be dynamically defined to accommodate a wide range of screening needs. The implementation leverages standard HTTP lib [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/jasonjfoster/screen
BugReports: https://github.com/jasonjfoster/screen/issues
Depends: R (>= 3.5.0)
Imports: curl, jsonlite
Suggests: covr, testthat
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-08 19:12:38 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:02 UTC

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Package simaerep updated to version 0.7.0 with previous version 0.6.0 dated 2024-09-30

Title: Find Clinical Trial Sites Under-Reporting Adverse Events
Description: Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).
Author: Bjoern Koneswarakantha [aut, cre, cph] , F. Hoffmann-La Roche Ltd [cph]
Maintainer: Bjoern Koneswarakantha <bjoern.koneswarakantha@roche.com>

Diff between simaerep versions 0.6.0 dated 2024-09-30 and 0.7.0 dated 2025-04-09

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New package piglet with initial version 1.0.7
Package: piglet
Title: Program for Inferring Immunoglobulin Allele Similarity Clusters and Genotypes
Version: 1.0.7
Description: Improves genotype inference and downstream Adaptive Immune Receptor Repertoire Sequence data analysis. Inference of allele similarity clusters, an alternative naming scheme and genotype inference for immunoglobulin heavy chain repertoires. The main tools are allele similarity clusters, and allele based genotype. The first tool is designed to reduce the ambiguity within the immunoglobulin heavy chain V alleles. The ambiguity is caused by duplicated or similar alleles which are shared among different genes. The second tool is an allele based genotype, that determined the presence of an allele based on a threshold derived from a naive population. See Peres et al. (2023) <doi:10.1093/nar/gkad603>.
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: dplyr (>= 1.0.9), Biostrings (>= 2.62.0), DECIPHER (>= 2.22.0), alakazam (>= 1.2.0), dendextend (>= 1.9.0), data.table (>= 1.12.2), tigger (>= 1.0.0), methods (>= 3.4.4), rlang (>= 0.4.0), zen4R (>= 0.7), RColorBrewer (>= 1.1.2), ggplot2 (>= 3.3.6), circlize (>= 0.4.15), R6 (>= 2.5.1), jsonlite (>= 1.8.3), Rcpp (>= 0.11.0), magrittr, ComplexHeatmap
Suggests: knitr, rmarkdown, stats, graphics, grDevices, htmltools, stringi, bookdown
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-08 19:14:57 UTC; ayelet
Author: Ayelet Peres [aut, cre], William Lees [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <peresay@biu.ac.il>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:05 UTC

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New package nimblewomble with initial version 0.1.0
Package: nimblewomble
Title: Bayesian Wombling using 'nimble'
Version: 0.1.0
Description: A software package to perform Wombling, or boundary analysis, using the 'nimble' Bayesian hierarchical modeling environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. For more details on wombling please see, Banerjee and Gelfand (2006) <doi:10.1198/016214506000000041> and Halder, Banerjee and Dey (2024) <doi:10.1080/01621459.2023.2177166>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: nimble, ggplot2, MBA, metR, ggspatial, sf, terra, sp, coda, methods
NeedsCompilation: no
Packaged: 2025-04-08 20:02:31 UTC; aritrah-dsph
Author: Aritra Halder [aut, cre], Sudipto Banerjee [aut]
Maintainer: Aritra Halder <aritra.halder@drexel.edu>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:10 UTC

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Package junctions updated to version 2.1.3 with previous version 2.1.1 dated 2025-03-12

Title: The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Description: Individual based simulations of hybridizing populations, where the accumulation of junctions is tracked. Furthermore, mathematical equations are provided to verify simulation outcomes. Both simulations and mathematical equations are based on Janzen (2018, <doi:10.1101/058107>) and Janzen (2022, <doi:10.1111/1755-0998.13519>).
Author: Thijs Janzen [aut, cre]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package ggplot2 updated to version 3.5.2 with previous version 3.5.1 dated 2024-04-23

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package GENEAcore updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-01

Title: Pre-Processing of 'GENEActiv' Data
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>

Diff between GENEAcore versions 1.0.0 dated 2025-04-01 and 1.0.1 dated 2025-04-09

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Package formatters updated to version 0.5.11 with previous version 0.5.10 dated 2025-01-08

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package filenamer updated to version 0.3 with previous version 0.2.4 dated 2024-04-04

Title: Easy Management of File Names
Description: Create descriptive file names with ease. New file names are automatically (but optionally) time stamped and placed in date stamped directories. Streamline your analysis pipeline with input and output file names that have informative tags and proper file extensions.
Author: David J. H. Shih [aut, cre]
Maintainer: David J. H. Shih <djh.shih@gmail.com>

Diff between filenamer versions 0.2.4 dated 2024-04-04 and 0.3 dated 2025-04-09

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Package doBy updated to version 4.6.26 with previous version 4.6.25 dated 2025-01-30

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear estimates. 3) Restrict functions to a smaller domain. 4) Miscellaneous other utilities.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package bnRep updated to version 0.0.3 with previous version 0.0.2 dated 2024-10-01

Title: A Repository of Bayesian Networks from the Academic Literature
Description: A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>

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Package aedseo updated to version 0.3.0 with previous version 0.1.2 dated 2023-11-27

Title: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
Description: A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Author: Sofia Myrup Otero [aut] , Kasper Schou Telkamp [aut] , Lasse Engbo Christiansen [aut, cre] , Rasmus Skytte Randloev [rev] , Statens Serum Institut, SSI [cph, fnd]
Maintainer: Lasse Engbo Christiansen <lsec@ssi.dk>

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New package vvbitwarden with initial version 0.1.0
Package: vvbitwarden
Title: Interacts with 'Bitwarden Secrets Manager'
Version: 0.1.0
Description: Provides functions to securely retrieve secrets from a 'Bitwarden Secrets Manager' vault using the 'Bitwarden CLI', enabling secret and configuration management within R packages and workflows. For more information visit <https://bitwarden.com/products/secrets-manager/>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: jsonlite, processx
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 09:58:55 UTC; esr316
Author: Hajo Bons [aut, cre], Tomer Iwan [aut]
Maintainer: Hajo Bons <h.b.bons@vu.nl>
Repository: CRAN
Date/Publication: 2025-04-09 08:10:02 UTC

More information about vvbitwarden at CRAN
Permanent link

New package valh with initial version 0.1.0
Package: valh
Title: Interface Between R and the OpenStreetMap-Based Routing Service Valhalla
Version: 0.1.0
Description: An interface between R and the 'Valhalla' API. 'Valhalla' is a routing service based on 'OpenStreetMap' data. See <https://valhalla.github.io/valhalla/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometer distance).
License: GPL (>= 3)
Imports: jsonlite, googlePolylines, curl, utils, sf
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, tinytest
URL: https://github.com/riatelab/valh
BugReports: https://github.com/riatelab/valh/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 14:16:19 UTC; tim
Author: Timothee Giraud [cre, aut] , Matthieu Viry [aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-04-09 08:20:02 UTC

More information about valh at CRAN
Permanent link

Package WayFindR updated to version 0.3.1 with previous version 0.1.2 dated 2024-04-10

Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition).
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package tcpl updated to version 3.2.1 with previous version 3.2.0 dated 2024-10-09

Title: ToxCast Data Analysis Pipeline
Description: The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.
Author: Richard S Judson [ctb, ths] , Dayne L Filer [aut], Jason Brown [ctb] , Sarah E Davidson-Fritz [ctb] , Madison Feshuk [cre] , Carter Thunes [ctb], Ashley Ko [ctb], Kelly Carstens [ctb] , Todd Zurlinden [ctb] , Lori Kolaczkowski [ctb], Kurt Dunham [ctb [...truncated...]
Maintainer: Madison Feshuk <feshuk.madison@epa.gov>

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Package qfa updated to version 4.1 with previous version 4.0 dated 2025-01-08

Title: Quantile-Frequency Analysis (QFA) of Time Series
Description: Quantile-frequency analysis (QFA) of time series based on trigonometric quantile regression. Spline quantile regression (SQR) for regression coefficient estimation. References: [1] Li, T.-H. (2012) "Quantile periodograms," Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>. [2] Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154> [3] Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra," <doi:10.48550/arXiv.2211.05844>. [4] Li, T.-H. (2024) "Quantile crossing spectrum and spline autoregression estimation," <doi:10.48550/arXiv.2412.02513>. [5] Li, T.-H. (2024) "Spline autoregression method for estimation of quantile spectrum," <doi:10.48550/arXiv.2412.17163>. [6] Li, T.-H., and Megiddo, N. (2025) "Spline quantile regression," <doi:10.48550/arXiv.2501.03883>.
Author: Ta-Hsin Li [cre, aut]
Maintainer: Ta-Hsin Li <thl024@outlook.com>

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Package plsVarSel updated to version 0.9.13 with previous version 0.9.12 dated 2024-05-22

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package PhotoGEA updated to version 1.3.2 with previous version 1.3.1 dated 2025-04-08

Title: Photosynthetic Gas Exchange Analysis
Description: Read, process, fit, and analyze photosynthetic gas exchange measurements. Documentation is provided by several vignettes; also see Lochocki, Salesse-Smith, & McGrath (2025) <doi:10.1111/pce.15501>.
Author: Edward B. Lochocki [cre, aut] , Coralie E. Salesse-Smith [aut] , Justin M. McGrath [aut] , PhotoGEA authors [cph]
Maintainer: Edward B. Lochocki <eloch@illinois.edu>

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Package nlt updated to version 2.2-2 with previous version 2.2-1 dated 2018-07-10

Title: A Nondecimated Lifting Transform for Signal Denoising
Description: Uses a modified lifting algorithm on which it builds the nondecimated lifting transform. It has applications in wavelet shrinkage.
Author: Marina Knight [aut], Matt Nunes [aut, cre]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package nc updated to version 2025.3.24 with previous version 2025.1.21 dated 2025-01-21

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package mlr3resampling updated to version 2025.3.30 with previous version 2024.9.6 dated 2024-09-11

Title: Resampling Algorithms for 'mlr3' Framework
Description: A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a subset (such as geographic region, year, etc), then how do we know if subsets are similar enough so that we can get accurate predictions on one subset, after training on Other subsets? And how do we know if training on All subsets would improve prediction accuracy, relative to training on the Same subset? SOAK, Same/Other/All K-fold cross-validation, <doi:10.48550/arXiv.2410.08643> can be used to answer these question, by fixing a test subset, training models on Same/Other/All subsets, and then comparing test error rates (Same versus Other and Same versus All). Also provides code for estimating how many train samples are required to get accurate predictions on a test set.
Author: Toby Hocking [aut, cre] , Michel Lang [ctb] , Bernd Bischl [ctb] , Jakob Richter [ctb] , Patrick Schratz [ctb] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [ctb], Florian Pfisterer [ctb] , Raphael Sonabend [ctb] , [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package minimapR updated to version 0.0.1.3 with previous version 0.0.1.1 dated 2025-03-30

Title: Wrapper for 'minimap2'
Description: Wrapper for 'Minimap2'. 'Minimap2' is a very valuable long read aligner for the Pacbio and Oxford Nanopore Technologies sequencing platforms. 'minimapR' is an R wrapper for 'minimap2' which was developed by Heng Li <me@liheng.org>. *SPECIAL NOTES 1. Examples can only be run from 'GitHub' installation. 2. 'conda' or 'mamba' must be used to install 'minimapR' on your system. 3. For Windows users, 'minimap2' and 'samtools' can be installed via MSYS2, instructions are provided when 'minimap2_installation()' is run. Li, Heng (2018) <doi:10.1093/bioinformatics/bty191> "Minimap2: pairwise alignment for nucleotide sequences".
Author: Jake Reed [aut, cre] , Pradyun Pulipaka [ctb]
Maintainer: Jake Reed <hreed.ga@gmail.com>

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Package ggstudent updated to version 0.1.2 with previous version 0.1.1-1 dated 2020-05-11

Title: Continuous Confidence Interval Plots using t-Distribution
Description: Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution. These visualizations are studied in (Helske, Helske, Cooper, Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.
Author: Jouni Helske [aut, cre]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package crosswalkr updated to version 0.3.0 with previous version 0.2.6 dated 2020-01-08

Title: Rename and Encode Data Frames Using External Crosswalk Files
Description: A pair of functions for renaming and encoding data frames using external crosswalk files. It is especially useful when constructing master data sets from multiple smaller data sets that do not name or encode variables consistently across files. Based on similar commands in 'Stata'.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

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Package CliftLRD updated to version 0.1-2 with previous version 0.1-1 dated 2018-07-18

Title: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series
Description: Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.
Author: Matt Nunes [aut, cre], Marina Knight [aut]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

Diff between CliftLRD versions 0.1-1 dated 2018-07-18 and 0.1-2 dated 2025-04-09

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Package atime updated to version 2025.4.1 with previous version 2025.1.21 dated 2025-01-21

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package simTool updated to version 1.1.8 with previous version 1.1.7 dated 2020-09-22

Title: Conduct Simulation Studies with a Minimal Amount of Source Code
Description: Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
Author: Marsel Scheer [aut, cre]
Maintainer: Marsel Scheer <scheer@freescience.de>

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Package CovSel updated to version 1.2.2 with previous version 1.2.1 dated 2015-11-09

Title: Model-Free Covariate Selection
Description: Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.
Author: Jenny Haeggstroem [aut, cre], Emma Persson [aut], Sandy Weisberg [aut]
Maintainer: Jenny Haeggstroem <jenny.haggstrom@umu.se>

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Package rscorecard updated to version 0.31.0 with previous version 0.30.0 dated 2024-10-23

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/data-documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

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Package serosv updated to version 1.1.0 with previous version 1.0.1 dated 2024-10-18

Title: Model Infectious Disease Parameters from Serosurveys
Description: An easy-to-use and efficient tool to estimate infectious diseases parameters using serological data. Implemented models include SIR models (basic_sir_model(), static_sir_model(), mseir_model(), sir_subpops_model()), parametric models (polynomial_model(), fp_model()), nonparametric models (lp_model()), semiparametric models (penalized_splines_model()), hierarchical models (hierarchical_bayesian_model()). The package is based on the book "Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective" (Hens, Niel & Shkedy, Ziv & Aerts, Marc & Faes, Christel & Damme, Pierre & Beutels, Philippe., 2013) <doi:10.1007/978-1-4614-4072-7>.
Author: Anh Phan Truong Quynh [aut, cre], Nguyen Pham Nguyen The [aut], Long Bui Thanh [aut], Tuyen Huynh [aut], Thinh Ong [aut] , Marc Choisy [aut]
Maintainer: Anh Phan Truong Quynh <anhptq@oucru.org>

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Tue, 08 Apr 2025

Package Rdpack updated to version 2.6.4 with previous version 2.6.3 dated 2025-03-16

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre] , Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package treesitter updated to version 0.2.0 with previous version 0.1.0 dated 2024-06-24

Title: Bindings to 'Tree-Sitter'
Description: Provides bindings to 'Tree-sitter', an incremental parsing system for programming tools. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>

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Package ssizeRNA updated to version 1.3.3 with previous version 1.3.2 dated 2019-08-20

Title: Sample Size Calculation for RNA-Seq Experimental Design
Description: We propose a procedure for sample size calculation while controlling false discovery rate for RNA-seq experimental design. Our procedure depends on the Voom method proposed for RNA-seq data analysis by Law et al. (2014) <DOI:10.1186/gb-2014-15-2-r29> and the sample size calculation method proposed for microarray experiments by Liu and Hwang (2007) <DOI:10.1093/bioinformatics/btl664>. We develop a set of functions that calculates appropriate sample sizes for two-sample t-test for RNA-seq experiments with fixed or varied set of parameters. The outputs also contain a plot of power versus sample size, a table of power at different sample sizes, and a table of critical test values at different sample sizes. To install this package, please use 'source("http://bioconductor.org/biocLite.R"); biocLite("ssizeRNA")'. For R version 3.5 or greater, please use 'if(!requireNamespace("BiocManager", quietly = TRUE)){install.packages("BiocManager")}; BiocManager::install("ssizeRNA")'.
Author: Ran Bi [aut, cre], Peng Liu [aut], Tim Triche [ctb]
Maintainer: Ran Bi <biranpier@gmail.com>

Diff between ssizeRNA versions 1.3.2 dated 2019-08-20 and 1.3.3 dated 2025-04-08

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Package Rfast2 updated to version 0.1.5.3 with previous version 0.1.5.2 dated 2024-03-10

Title: A Collection of Efficient and Extremely Fast R Functions II
Description: A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions. References: Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>.
Author: Manos Papadakis [aut, cre, cph], Michail Tsagris [aut], Stefanos Fafalios [aut], Marios Dimitriadis [aut], Manos Lasithiotakis [aut], Nikolaos Kontemeniotis [ctb]
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

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 132 files changed, 1308 insertions(+), 632 deletions(-)

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