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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 arcgisgeocode-0.2.3/arcgisgeocode/NEWS.md                      |    4 
 arcgisgeocode-0.2.3/arcgisgeocode/R/extendr-wrappers.R         |    1 
 arcgisgeocode-0.2.3/arcgisgeocode/configure                    |    2 
 arcgisgeocode-0.2.3/arcgisgeocode/configure.win                |    2 
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 arcgisgeocode-0.2.3/arcgisgeocode/src/rust/Cargo.lock          |  312 ++++++----
 arcgisgeocode-0.2.3/arcgisgeocode/src/rust/Cargo.toml          |    3 
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 arcgisgeocode-0.2.3/arcgisgeocode/tools/msrv.R                 |    4 
 18 files changed, 222 insertions(+), 159 deletions(-)

More information about arcgisgeocode at CRAN
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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

 ChangeLog       |    5 
 DESCRIPTION     |   18 -
 MD5             |   15 
 NAMESPACE       |   16 
 R/cgam.R        |  910 ++++++++++++++++++++++++++++++++++++++++++++++++++++----
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 man/best.fit.Rd |   61 ++-
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 10 files changed, 920 insertions(+), 122 deletions(-)

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