Wed, 29 Jan 2025

Package bsvarSIGNs updated to version 2.0 with previous version 1.0.1 dated 2024-08-17

Title: Bayesian SVARs with Sign, Zero, and Narrative Restrictions
Description: Implements state-of-the-art algorithms for the Bayesian analysis of Structural Vector Autoregressions (SVARs) identified by sign, zero, and narrative restrictions. The core model is based on a flexible Vector Autoregression with estimated hyper-parameters of the Minnesota prior and the dummy observation priors as in Giannone, Lenza, Primiceri (2015) <doi:10.1162/REST_a_00483>. The sign restrictions are implemented employing the methods proposed by Rubio-Ramírez, Waggoner & Zha (2010) <doi:10.1111/j.1467-937X.2009.00578.x>, while identification through sign and zero restrictions follows the approach developed by Arias, Rubio-Ramírez, & Waggoner (2018) <doi:10.3982/ECTA14468>. Furthermore, our tool provides algorithms for identification via sign and narrative restrictions, in line with the methods introduced by Antolín-Díaz and Rubio-Ramírez (2018) <doi:10.1257/aer.20161852>. Users can also estimate a model with sign, zero, and narrative restrictions impos [...truncated...]
Author: Xiaolei Wang [aut, cre] , Tomasz Wozniak [aut]
Maintainer: Xiaolei Wang <adamwang15@gmail.com>

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Package av updated to version 0.9.4 with previous version 0.9.3 dated 2024-11-09

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

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Package greenfeedr updated to version 1.1.0 with previous version 1.0.1 dated 2024-10-31

Title: Process and Report 'GreenFeed' Data
Description: Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.
Author: Guillermo Martinez-Boggio [cre, aut, cph] , Meredith Harrison [ctb], Patrick Lutz [ctb]
Maintainer: Guillermo Martinez-Boggio <guillermo.martinezboggio@wisc.edu>

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Package Blend updated to version 0.1.1.1 with previous version 0.1.1 dated 2025-01-20

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

Diff between Blend versions 0.1.1 dated 2025-01-20 and 0.1.1.1 dated 2025-01-29

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Package REDCapCAST updated to version 25.1.1 with previous version 24.12.1 dated 2024-12-02

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

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Package multpois updated to version 0.3.2 with previous version 0.2.0 dated 2024-10-22

Title: Analyze Nominal Response Data with the Multinomial-Poisson Trick
Description: Dichotomous responses having two categories can be analyzed with stats::glm() or lme4::glmer() using the family=binomial option. Unfortunately, polytomous responses with three or more unordered categories cannot be analyzed similarly because there is no analogous family=multinomial option. For between-subjects data, nnet::multinom() can address this need, but it cannot handle random factors and therefore cannot handle repeated measures. To address this gap, we transform nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression as per Baker (1994) <doi:10.2307/2348134>. Omnibus analyses of variance can be run along with post hoc pairwise comparisons. For users wishing to analyze nominal responses from surveys or experiments, the functions in this package essentially act as though stats::glm() or lme4::glmer() had a family=multinomial option.
Author: Jacob O. Wobbrock [aut, cre, cph]
Maintainer: Jacob O. Wobbrock <wobbrock@uw.edu>

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Package cocoon updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-05

Title: Extract, Format, and Print Statistical Output
Description: Provides functions that format statistical output in a way that can be inserted into R Markdown documents. This is analogous to the apa_print() functions in the 'papaja' package but prints Markdown or LaTeX syntax.
Author: Jeffrey R. Stevens [aut, cre, cph]
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>

Diff between cocoon versions 0.1.0 dated 2024-11-05 and 0.2.0 dated 2025-01-29

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New package SparseICA with initial version 0.1.4
Package: SparseICA
Title: Sparse Independent Component Analysis
Version: 0.1.4
Date: 2025-01-15
Author: Zihang Wang [aut, cre] , Irina Gaynanova [aut] , Aleksandr Aravkin [aut] , Benjamin Risk [aut]
Maintainer: Zihang Wang <zhwang0378@gmail.com>
BugReports: https://github.com/thebrisklab/SparseICA/issues
URL: https://github.com/thebrisklab/SparseICA
Description: Provides an implementation of the Sparse ICA method in Wang et al. (2024) <doi:10.1080/01621459.2024.2370593> for estimating sparse independent source components of cortical surface functional MRI data, by addressing a non-smooth, non-convex optimization problem through the relax-and-split framework. This method effectively balances statistical independence and sparsity while maintaining computational efficiency.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Imports: Rcpp (>= 1.0.13), MASS (>= 7.3-58), irlba (>= 2.3.5), clue (>= 0.3), ciftiTools (>= 0.16), parallel (>= 4.1)
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2025-01-26 19:35:28 UTC; zihang
Repository: CRAN
Date/Publication: 2025-01-29 18:50:02 UTC

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Package SEMgraph updated to version 1.2.3 with previous version 1.2.2 dated 2024-07-22

Title: Network Analysis and Causal Inference Through Structural Equation Modeling
Description: Estimate networks and causal relationships in complex systems through Structural Equation Modeling. This package also includes functions for importing, weight, manipulate, and fit biological network models within the Structural Equation Modeling framework as outlined in the Supplementary Material of Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.
Author: Mario Grassi [aut], Fernando Palluzzi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMgraph versions 1.2.2 dated 2024-07-22 and 1.2.3 dated 2025-01-29

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New package rdlearn with initial version 0.1.1
Package: rdlearn
Title: Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs
Version: 0.1.1
Description: Implements safe policy learning under regression discontinuity designs with multiple cutoffs, based on Zhang et al. (2022) <doi:10.48550/arXiv.2208.13323>. The learned cutoffs are guaranteed to perform no worse than the existing cutoffs in terms of overall outcomes. The 'rdlearn' package also includes features for visualizing the learned cutoffs relative to the baseline and conducting sensitivity analyses.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/kkawato/rdlearn
BugReports: https://github.com/kkawato/rdlearn/issues
Imports: nprobust, nnet, rdrobust, ggplot2, dplyr, glue, cli
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 04:18:09 UTC; kawatokentaryuu
Author: Kentaro Kawato [cre, cph], Yi Zhang [aut], Soichiro Yamauchi [aut], Eli Ben-Michael [aut], Kosuke Imai [aut]
Maintainer: Kentaro Kawato <kentaro1358nohe@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:30:02 UTC

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New package PopulateR with initial version 1.13
Package: PopulateR
Title: Create Data Frames for the Micro-Simulation of Human Populations
Version: 1.13
Maintainer: Michelle Gosse <michelle.a.gosse@gmail.com>
Description: Tools for constructing detailed synthetic human populations from frequency tables. Add ages based on age groups and sex, create households, add students to education facilities, create employers, add employers to employees, and create interpersonal networks.
Depends: R (>= 4.0)
Imports: brainGraph (>= 3.1.0), data.table (>= 1.16.2), dplyr (>= 1.1.4), igraph (>= 2.1.1), magrittr (>= 2.0.3), PearsonDS (>= 1.3.1), plyr (>= 1.8.9), rlang (>= 1.1.4), sn (>= 2.1.1), tidyr (>= 1.3.1), tidyselect (>= 1.2.1), withr (>= 3.0.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/programgirl/PopulateR
BugReports: https://github.com/programgirl/PopulateR/issues
NeedsCompilation: no
Packaged: 2025-01-26 08:07:08 UTC; michelle
Author: Michelle Gosse [aut, cre, cph], Jonathan Marshall [aut], Mark Bebbington [ctb]
Repository: CRAN
Date/Publication: 2025-01-29 18:30:05 UTC

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New package ordinalsimr with initial version 0.1.3
Package: ordinalsimr
Title: Compare Ordinal Endpoints Using Simulations
Version: 0.1.3
Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.
License: MIT + file LICENSE
Imports: assertthat, bslib, coin, config (>= 0.3.1), dplyr, DT, ggplot2, golem (>= 0.4.0), magrittr, rhandsontable, rlang, rms, shiny (>= 1.7.4), shinycssloaders, shinydashboard, shinyWidgets, stats, tidyr, utils, withr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://github.com/NeuroShepherd/ordinalsimr, https://neuroshepherd.github.io/ordinalsimr/
BugReports: https://github.com/NeuroShepherd/ordinalsimr/issues
Suggests: callr, knitr, pkgload, purrr, rmarkdown, testthat (>= 3.0.0), writexl
Depends: R (>= 4.4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 11:46:36 UTC; patcallahan
Author: Pat Callahan [aut, cre, cph]
Maintainer: Pat Callahan <patricktcallahan18@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:40:02 UTC

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New package lifepack with initial version 0.0.8
Package: lifepack
Title: Insurance Reserve Calculations
Version: 0.0.8
Description: Calculates insurance reserves and equivalence premiums using advanced numerical methods, including the Runge-Kutta algorithm and product integrals for transition probabilities. This package is useful for actuarial analyses and life insurance modeling, facilitating accurate financial projections.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 18:00:17 UTC; oskar
Author: Oskar Allerslev [aut, cre]
Maintainer: Oskar Allerslev <Oskar.m1660@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:40:06 UTC

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Package HiGarrote updated to version 1.0.1 with previous version 1.0 dated 2024-11-14

Title: Nonnegative Garrote Method Incorporating Hierarchical Relationships
Description: An implementation of the nonnegative garrote method that incorporates hierarchical relationships among variables. The core function, HiGarrote(), offers an automated approach for analyzing experiments while respecting hierarchical structures among effects. For methodological details, refer to Yu and Joseph (2024) <doi:10.48550/arXiv.2411.01383>. This work is supported by U.S. National Science Foundation grant DMS-2310637.
Author: Wei-Yang Yu [aut, cre], V. Roshan Joseph [aut]
Maintainer: Wei-Yang Yu <wyu322@gatech.edu>

Diff between HiGarrote versions 1.0 dated 2024-11-14 and 1.0.1 dated 2025-01-29

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New package bosfr with initial version 0.1.0
Package: bosfr
Title: Computes Exact Bounds of Spearman's Footrule with Missing Data
Version: 0.1.0
Author: Yijin Zeng [aut, cre, cph]
Maintainer: Yijin Zeng <yijinzeng98@gmail.com>
Description: Computes exact bounds of Spearman's footrule in the presence of missing data, and performs independence test based on the bounds with controlled Type I error regardless of the values of missing data. Suitable only for distinct, univariate data where no ties is allowed.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.2.1)
Imports: gtools, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-22 12:28:55 UTC; yz720
Repository: CRAN
Date/Publication: 2025-01-29 19:00:02 UTC

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Package tosr updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-14

Title: Create the Tree of Science from WoS and Scopus
Description: The goal of 'tosr' is to create the Tree of Science from Web of Science (WoS) and Scopus data. It can read files from both sources at the same time. More information can be found in Valencia-Hernández (2020) <https://revistas.unal.edu.co/index.php/ingeinv/article/view/77718>.
Author: Sebastian Robledo [aut, cre] , Martha Zuluaga [aut] , Oscar Arbelaez Echeverry [aut] , Luis Alexander Valencia Hernandez [aut], Centro de Bioinformatica y Biologia computacional de Colombia - BIOS [cph, fnd]
Maintainer: Sebastian Robledo <sebastian.robledo@gmail.com>

Diff between tosr versions 0.1.4 dated 2024-01-14 and 0.1.5 dated 2025-01-29

 DESCRIPTION                     |   54 ++++++++++++++++++++--------------------
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 inst/doc/ToS-dummy.R            |    2 -
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 tests/testthat/test-tosr_load.R |    2 -
 7 files changed, 37 insertions(+), 36 deletions(-)

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New package textanalyzer with initial version 0.2.0
Package: textanalyzer
Title: 'textanalyzer', an R Package to Analyze Text
Version: 0.2.0
Description: It analyzes text to create a count of top n-grams, including tokens (one-word), bigrams(two-word), and trigrams (three-word), while removing all stopwords. It also plots the n-grams and corresponding counts as a bar chart.
License: GPL-3
Encoding: UTF-8
Depends: tidytext, tidyr, dplyr, ggplot2, utils, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-25 09:34:40 UTC; RPUSH1
Author: Pushker Ravindra [aut, cre]
Maintainer: Pushker Ravindra <pushker@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:20:02 UTC

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New package smarter with initial version 1.0.0
Package: smarter
Title: A Collection of Modified R Functions to Make Basic Coding More Convenient
Version: 1.0.0
Date: 2025-01-25
Description: A collection of recycled and modified R functions to aid in file manipulation, data exploration, wrangling, optimization, and object manipulation. Other functions aid in convenient data visualization, loop progression, software packaging, and installation.
Encoding: UTF-8
Imports: devtools, RCurl, Rcpp, gplots, grDevices, stats, usethis, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-01-25 21:00:04 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:40:02 UTC

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New package shinyCLT with initial version 0.9.3
Package: shinyCLT
Title: Central Limit Theorem 'shiny' Application
Version: 0.9.3
Description: A 'shiny' application estimating the operating characteristics of the Student's t-test by Student (1908) <doi:10.1093/biomet/6.1.1>, Welch's t-test by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, and Wilcoxon test by Wilcoxon (1945) <doi:10.2307/3001968> in one-sample or two-sample cases, in settings defined by the user (conditional distribution, sample size per group, location parameter per group, nuisance parameter per group), using Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008) <doi:10.1002/9783527626212>.
Imports: testthat, purrr, shiny, gamlss, dplyr, plotly, future, shinycssloaders, waiter, shinythemes, shinyWidgets, cachem, knitr
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-25 09:05:53 UTC; Nikita
Author: Dominique-Laurent Couturier [aut, cre] , Nikita Mozgunov [aut] , Thomas Jaki [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-29 17:20:05 UTC

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New package RAFS with initial version 0.2.5
Package: RAFS
Title: Robust Aggregative Feature Selection
Version: 0.2.5
Date: 2025-01-25
URL: https://www.mdfs.it/
Description: A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: fastcluster, MDFS (>= 1.5.3), splitTools
NeedsCompilation: no
Packaged: 2025-01-25 12:56:59 UTC; radek
Author: Radoslaw Piliszek [aut, cre], Witold Remigiusz Rudnicki [ths, aut]
Maintainer: Radoslaw Piliszek <radek@piliszek.it>
Repository: CRAN
Date/Publication: 2025-01-29 17:30:16 UTC

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New package MatTransMix with initial version 0.1.18
Package: MatTransMix
Version: 0.1.18
Date: 2025-1-6
Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Depends: R (>= 3.0.0)
LazyLoad: yes
LazyData: no
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.
License: GPL (>= 2)
Imports: mvtnorm
Packaged: 2025-01-24 20:13:27 UTC; zhu
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@ua.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2025-01-29 17:20:08 UTC

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New package layer with initial version 0.0.3
Package: layer
Title: Tilt your Maps and Turn Them into 'ggplot' Plots
Version: 0.0.3
Description: Simplifies the whole process of creating stacked tilted maps, that are often used in scientific publications to show different environmental layers for a geographical region. Tilting maps and layering them allows to easily draw visual correlations between these environmental layers.
License: CC0
URL: https://github.com/marcosci/layer, https://marcosci.github.io/layer/
BugReports: https://github.com/marcosci/layer/issues
Depends: R (>= 2.10)
Imports: dplyr, furrr, ggnewscale, ggplot2, magrittr, raster, scico, sf, stars, tidyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-25 09:54:53 UTC; ek
Author: Marco Sciaini [aut, cph], Cedric Scherer [aut], Josh Erickson [ctb], Egor Kotov [ctb, cre]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:30:05 UTC

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New package deprivateR with initial version 0.1.0
Package: deprivateR
Title: Calculating and Analyzing Measures of Deprivation in the United States
Version: 0.1.0
Description: Provides a unified framework to building Area Deprivation Index (ADI), Social Vulnerability Index (SVI), and Neighborhood Deprivation Index (NDI) deprivation measures and accessing related data from the U.S. Census Bureau such as Gini coefficient data. Tools are also available for calculating percentiles, quantiles, and for creating clear map breaks for data visualization.
Depends: R (>= 3.5)
License: Apache License (>= 2)
URL: https://pfizer-opensource.github.io/deprivateR/
BugReports: https://github.com/pfizer-opensource/deprivateR/issues
Encoding: UTF-8
Imports: classInt, dplyr, english, ndi, rlang, sf, sociome, stringr, tibble, tidycensus, tidyselect, tidyr, zippeR
Suggests: measurements, testthat, tigris
NeedsCompilation: no
Packaged: 2025-01-24 17:40:47 UTC; prenec
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut]
Maintainer: Christopher Prener <christopher.prener@pfizer.com>
Repository: CRAN
Date/Publication: 2025-01-29 17:10:02 UTC

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Package broom.helpers updated to version 1.19.0 with previous version 1.18.0 dated 2025-01-07

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.18.0 dated 2025-01-07 and 1.19.0 dated 2025-01-29

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 R/broom.helpers-package.R                            |    1 
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 R/marginal_tidiers.R                                 |   89 ----
 R/model_get_pairwise_contrasts.R                     |    3 
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 R/tidy_add_pairwise_contrasts.R                      |    2 
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 tests/testthat.R                                     |    8 
 tests/testthat/test-add_coefficients_type.R          |  106 ++---
 tests/testthat/test-add_contrasts.R                  |   60 +-
 tests/testthat/test-add_estimate_to_reference_rows.R |   92 ++--
 tests/testthat/test-add_header_rows.R                |   60 +-
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 tests/testthat/test-add_reference_rows.R             |   41 +
 tests/testthat/test-add_term_labels.R                |  125 +++---
 tests/testthat/test-add_variable_labels.R            |   99 ++--
 tests/testthat/test-assert_package.R                 |   15 
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 46 files changed, 1180 insertions(+), 1365 deletions(-)

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New package reproducibleRchunks with initial version 1.0.2
Package: reproducibleRchunks
Title: Automated Reproducibility Checks for R Markdown Documents
Version: 1.0.2
Description: Provide reproducible R chunks in R Markdown document that automatically check computational results for reproducibility. This is achieved by creating json files storing metadata about computational results. A comprehensive tutorial to the package is available as preprint by Brandmaier & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: jsonlite, knitr, digest, rstudioapi, utils
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
BugReports: https://github.com/brandmaier/reproducibleRchunks/issues
NeedsCompilation: no
Packaged: 2025-01-24 10:07:23 UTC; andreas.brandmaier
Author: Andreas M. Brandmaier [aut, cre], Aaron Peikert [ctb]
Maintainer: Andreas M. Brandmaier <andreas.brandmaier@medicalschool-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-29 16:40:02 UTC

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Package quantreg updated to version 6.00 with previous version 5.99.1 dated 2024-11-22

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Martin Maechler [c [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.99.1 dated 2024-11-22 and 6.00 dated 2025-01-29

 DESCRIPTION        |    6 +++---
 MD5                |    4 ++--
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Package mlt updated to version 1.6-2 with previous version 1.6-1 dated 2024-11-18

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

Diff between mlt versions 1.6-1 dated 2024-11-18 and 1.6-2 dated 2025-01-29

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 NAMESPACE                |    2 +-
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New package MEGB with initial version 0.1
Package: MEGB
Title: Gradient Boosting for Longitudinal Data
Version: 0.1
Author: Oyebayo Ridwan Olaniran [aut, cre], Saidat Fehintola Olaniran [aut]
Maintainer: Oyebayo Ridwan Olaniran <olaniran.or@unilorin.edu.ng>
Description: Gradient boosting is a powerful statistical learning method known for its ability to model complex relationships between predictors and outcomes while performing inherent variable selection. However, traditional gradient boosting methods lack flexibility in handling longitudinal data where within-subject correlations play a critical role. In this package, we propose a novel approach Mixed Effect Gradient Boosting ('MEGB'), designed specifically for high-dimensional longitudinal data. 'MEGB' incorporates a flexible semi-parametric model that embeds random effects within the gradient boosting framework, allowing it to account for within-individual covariance over time. Additionally, the method efficiently handles scenarios where the number of predictors greatly exceeds the number of observations (p>>n) making it particularly suitable for genomics data and other large-scale biomedical studies.
License: GPL-2
Encoding: UTF-8
Imports: stats, gbm, MASS, latex2exp
NeedsCompilation: no
Suggests: testthat (>= 3.0.0)
Packaged: 2025-01-24 13:47:19 UTC; USER
Repository: CRAN
Date/Publication: 2025-01-29 17:00:02 UTC

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New package BayesCPclust with initial version 0.1.0
Package: BayesCPclust
Title: A Bayesian Approach for Clustering Constant-Wise Change-Point Data
Version: 0.1.0
Description: A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: extraDistr, RcppAlgos, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-24 13:11:21 UTC; carol
Author: Ana Carolina da Cruz [aut, cre]
Maintainer: Ana Carolina da Cruz <adacruz@uwo.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-29 16:50:06 UTC

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Package acro updated to version 0.1.4 with previous version 0.1.3 dated 2024-10-22

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: Assists researchers and output checkers by distinguishing between research output that is safe to publish, output that requires further analysis, and output that cannot be published because of substantial disclosure risk. A paper about the tool was presented at the UNECE Expert Meeting on Statistical Data Confidentiality 2023; see <https://uwe-repository.worktribe.com/output/11060964>.
Author: Jim Smith [cre, ctb] , Maha Albashir [aut, ctb], Richard John Preen [aut, ctb]
Maintainer: Jim Smith <James.Smith@uwe.ac.uk>

Diff between acro versions 0.1.3 dated 2024-10-22 and 0.1.4 dated 2025-01-29

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Package trtf updated to version 0.4-3 with previous version 0.4-2 dated 2023-02-10

Title: Transformation Trees and Forests
Description: Recursive partytioning of transformation models with corresponding random forest for conditional transformation models as described in 'Transformation Forests' (Hothorn and Zeileis, 2021, <doi:10.1080/10618600.2021.1872581>) and 'Top-Down Transformation Choice' (Hothorn, 2018, <DOI:10.1177/1471082X17748081>).
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between trtf versions 0.4-2 dated 2023-02-10 and 0.4-3 dated 2025-01-29

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Package multcomp updated to version 1.4-28 with previous version 1.4-26 dated 2024-07-18

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

Diff between multcomp versions 1.4-26 dated 2024-07-18 and 1.4-28 dated 2025-01-29

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Package geometa updated to version 0.9 with previous version 0.8-0 dated 2024-04-18

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to read, write and validate geographic metadata defined with ISO TC211 / OGC ISO geographic information metadata standards, and encoded using the ISO 19139 and ISO 19115-3 (XML) standard technical specifications. This includes ISO 19110 (Feature cataloguing), 19115 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other interoperable schemas from the OGC are progressively supported as well, such as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid (GMLRGRID).
Author: Emmanuel Blondel [aut, cre] , R Consortium [fnd]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geometa versions 0.8-0 dated 2024-04-18 and 0.9 dated 2025-01-29

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 geometa-0.9/geometa/R/GMLAbstractCurve.R                                 |    4 
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 geometa-0.9/geometa/R/GMLAbstractFeature.R                               |    8 
 geometa-0.9/geometa/R/GMLAbstractGML.R                                   |    8 
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 geometa-0.9/geometa/R/GMLAbstractImplicitGeometry.R                      |    8 
 geometa-0.9/geometa/R/GMLAbstractObject.R                                |   10 
 geometa-0.9/geometa/R/GMLAbstractReferenceableGrid.R                     |    8 
 geometa-0.9/geometa/R/GMLAbstractRing.R                                  |    4 
 geometa-0.9/geometa/R/GMLAbstractSingleCRS.R                             |    4 
 geometa-0.9/geometa/R/GMLAbstractSingleOperation.R                       |    4 
 geometa-0.9/geometa/R/GMLAbstractSurface.R                               |    4 
 geometa-0.9/geometa/R/GMLAbstractTimeGeometricPrimitive.R                |    8 
 geometa-0.9/geometa/R/GMLAbstractTimeObject.R                            |    8 
 geometa-0.9/geometa/R/GMLAbstractTimePrimitive.R                         |    8 
 geometa-0.9/geometa/R/GMLAffineCS.R                                      |    4 
 geometa-0.9/geometa/R/GMLBaseUnit.R                                      |    8 
 geometa-0.9/geometa/R/GMLCOVAbstractCoverage.R                           |   10 
 geometa-0.9/geometa/R/GMLCOVExtension.R                                  |    8 
 geometa-0.9/geometa/R/GMLCartesianCS.R                                   |    4 
 geometa-0.9/geometa/R/GMLCodeType.R                                      |    8 
 geometa-0.9/geometa/R/GMLCompoundCRS.R                                   |    8 
 geometa-0.9/geometa/R/GMLConventionalUnit.R                              |    8 
 geometa-0.9/geometa/R/GMLConversion.R                                    |    4 
 geometa-0.9/geometa/R/GMLCoordinateSystemAxis.R                          |    8 
 geometa-0.9/geometa/R/GMLCoverages.R                                     |   38 
 geometa-0.9/geometa/R/GMLCylindricalCS.R                                 |    4 
 geometa-0.9/geometa/R/GMLDefinition.R                                    |    8 
 geometa-0.9/geometa/R/GMLDerivedCRS.R                                    |    4 
 geometa-0.9/geometa/R/GMLDerivedUnit.R                                   |    8 
 geometa-0.9/geometa/R/GMLElement.R                                       |   10 
 geometa-0.9/geometa/R/GMLEllipsoidalCS.R                                 |    4 
 geometa-0.9/geometa/R/GMLEnvelope.R                                      |   10 
 geometa-0.9/geometa/R/GMLEnvelopeWithTimePeriod.R                        |   10 
 geometa-0.9/geometa/R/GMLGeneralGridAxis.R                               |   10 
 geometa-0.9/geometa/R/GMLGeodeticCRS.R                                   |    4 
 geometa-0.9/geometa/R/GMLGrid.R                                          |    8 
 geometa-0.9/geometa/R/GMLGridEnvelope.R                                  |    6 
 geometa-0.9/geometa/R/GMLGridFunction.R                                  |    8 
 geometa-0.9/geometa/R/GMLLineString.R                                    |    8 
 geometa-0.9/geometa/R/GMLLinearCS.R                                      |    6 
 geometa-0.9/geometa/R/GMLLinearRing.R                                    |    8 
 geometa-0.9/geometa/R/GMLMultiCurve.R                                    |    8 
 geometa-0.9/geometa/R/GMLMultiPoint.R                                    |    8 
 geometa-0.9/geometa/R/GMLMultiSurface.R                                  |    8 
 geometa-0.9/geometa/R/GMLObliqueCartesianCS.R                            |    6 
 geometa-0.9/geometa/R/GMLOperationMethod.R                               |    6 
 geometa-0.9/geometa/R/GMLOperationParameter.R                            |    6 
 geometa-0.9/geometa/R/GMLOperationParameterGroup.R                       |    6 
 geometa-0.9/geometa/R/GMLParameterValue.R                                |    8 
 geometa-0.9/geometa/R/GMLParameterValueGroup.R                           |    8 
 geometa-0.9/geometa/R/GMLPoint.R                                         |    8 
 geometa-0.9/geometa/R/GMLPolarCS.R                                       |    6 
 geometa-0.9/geometa/R/GMLPolygon.R                                       |    8 
 geometa-0.9/geometa/R/GMLProjectedCRS.R                                  |    6 
 geometa-0.9/geometa/R/GMLRectifiedGrid.R                                 |    8 
 geometa-0.9/geometa/R/GMLReferenceableGridByArray.R                      |    8 
 geometa-0.9/geometa/R/GMLReferenceableGridByTransformation.R             |    8 
 geometa-0.9/geometa/R/GMLReferenceableGridByVectors.R                    |    8 
 geometa-0.9/geometa/R/GMLShericalCS.R                                    |    6 
 geometa-0.9/geometa/R/GMLTemporalCRS.R                                   |    6 
 geometa-0.9/geometa/R/GMLTemporalCS.R                                    |    6 
 geometa-0.9/geometa/R/GMLTimeCS.R                                        |    6 
 geometa-0.9/geometa/R/GMLTimeInstant.R                                   |    6 
 geometa-0.9/geometa/R/GMLTimePeriod.R                                    |    6 
 geometa-0.9/geometa/R/GMLUnitDefinition.R                                |    8 
 geometa-0.9/geometa/R/GMLUserDefinedCS.R                                 |    6 
 geometa-0.9/geometa/R/GMLVerticalCRS.R                                   |    6 
 geometa-0.9/geometa/R/GMLVerticalCS.R                                    |    6 
 geometa-0.9/geometa/R/INSPIREMetadataValidator.R                         |   14 
 geometa-0.9/geometa/R/ISOAbstractAcquisitionInformation.R                |only
 geometa-0.9/geometa/R/ISOAbstractAggregate.R                             |    8 
 geometa-0.9/geometa/R/ISOAbstractApplicationSchemaInformation.R          |only
 geometa-0.9/geometa/R/ISOAbstractCarrierOfCharacteristics.R              |    8 
 geometa-0.9/geometa/R/ISOAbstractCatalogue.R                             |   21 
 geometa-0.9/geometa/R/ISOAbstractCitation.R                              |only
 geometa-0.9/geometa/R/ISOAbstractConstraints.R                           |only
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 geometa-0.9/geometa/R/ISOAbstractDataQuality.R                           |only
 geometa-0.9/geometa/R/ISOAbstractDistribution.R                          |only
 geometa-0.9/geometa/R/ISOAbstractExtent.R                                |only
 geometa-0.9/geometa/R/ISOAbstractFeatureCatalogue.R                      |only
 geometa-0.9/geometa/R/ISOAbstractFeatureType.R                           |only
 geometa-0.9/geometa/R/ISOAbstractFormat.R                                |only
 geometa-0.9/geometa/R/ISOAbstractGenericName.R                           |    8 
 geometa-0.9/geometa/R/ISOAbstractLineageInformation.R                    |only
 geometa-0.9/geometa/R/ISOAbstractMaintenanceInformation.R                |only
 geometa-0.9/geometa/R/ISOAbstractMetadata.R                              |only
 geometa-0.9/geometa/R/ISOAbstractMetadataExtension.R                     |only
 geometa-0.9/geometa/R/ISOAbstractMetaquality.R                           |only
 geometa-0.9/geometa/R/ISOAbstractObject.R                                |  219 -
 geometa-0.9/geometa/R/ISOAbstractOnlineResource.R                        |only
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 geometa-0.9/geometa/R/ISOAbstractParty.R                                 |only
 geometa-0.9/geometa/R/ISOAbstractPlatform.R                              |only
 geometa-0.9/geometa/R/ISOAbstractPortrayalCatalogueInformation.R         |only
 geometa-0.9/geometa/R/ISOAbstractPropertyType.R                          |   53 
 geometa-0.9/geometa/R/ISOAbstractQualityElement.R                        |only
 geometa-0.9/geometa/R/ISOAbstractRSReferenceSystem.R                     |only
 geometa-0.9/geometa/R/ISOAbstractReferenceSystem.R                       |   76 
 geometa-0.9/geometa/R/ISOAbstractResourceDescription.R                   |only
 geometa-0.9/geometa/R/ISOAbstractResponsibility.R                        |only
 geometa-0.9/geometa/R/ISOAbstractResult.R                                |   23 
 geometa-0.9/geometa/R/ISOAbstractSpatialRepresentation.R                 |only
 geometa-0.9/geometa/R/ISOAbstractSpatialResolution.R                     |only
 geometa-0.9/geometa/R/ISOAbstractStandardOrderProcess.R                  |only
 geometa-0.9/geometa/R/ISOAbstractTemporalQuality.R                       |only
 geometa-0.9/geometa/R/ISOAbstractTypedDate.R                             |only
 geometa-0.9/geometa/R/ISOAddress.R                                       |   74 
 geometa-0.9/geometa/R/ISOAggregateInformation.R                          |    6 
 geometa-0.9/geometa/R/ISOAnchor.R                                        |   17 
 geometa-0.9/geometa/R/ISOAngle.R                                         |   17 
 geometa-0.9/geometa/R/ISOApplicationSchemaInformation.R                  |   21 
 geometa-0.9/geometa/R/ISOAssociatedResource.R                            |only
 geometa-0.9/geometa/R/ISOAssociation.R                                   |    8 
 geometa-0.9/geometa/R/ISOAssociationRole.R                               |    8 
 geometa-0.9/geometa/R/ISOAssociationType.R                               |   17 
 geometa-0.9/geometa/R/ISOAttributeGroup.R                                |only
 geometa-0.9/geometa/R/ISOAttributes.R                                    |    6 
 geometa-0.9/geometa/R/ISOBand.R                                          |   18 
 geometa-0.9/geometa/R/ISOBaseBoolean.R                                   |   17 
 geometa-0.9/geometa/R/ISOBaseCharacterString.R                           |   17 
 geometa-0.9/geometa/R/ISOBaseDate.R                                      |   17 
 geometa-0.9/geometa/R/ISOBaseDateTime.R                                  |   17 
 geometa-0.9/geometa/R/ISOBaseDecimal.R                                   |   17 
 geometa-0.9/geometa/R/ISOBaseInteger.R                                   |   17 
 geometa-0.9/geometa/R/ISOBaseReal.R                                      |   17 
 geometa-0.9/geometa/R/ISOBinary.R                                        |   17 
 geometa-0.9/geometa/R/ISOBinding.R                                       |    6 
 geometa-0.9/geometa/R/ISOBoundAssociationRole.R                          |    6 
 geometa-0.9/geometa/R/ISOBoundFeatureAttribute.R                         |    6 
 geometa-0.9/geometa/R/ISOBoundingPolygon.R                               |   17 
 geometa-0.9/geometa/R/ISOBrowseGraphic.R                                 |   17 
 geometa-0.9/geometa/R/ISOCTCodelistValue.R                               |only
 geometa-0.9/geometa/R/ISOCarrierOfCharacteristics.R                      |    8 
 geometa-0.9/geometa/R/ISOCellGeometry.R                                  |   24 
 geometa-0.9/geometa/R/ISOCharacterSet.R                                  |   17 
 geometa-0.9/geometa/R/ISOCitation.R                                      |  163 
 geometa-0.9/geometa/R/ISOCitationSeries.R                                |   13 
 geometa-0.9/geometa/R/ISOClassification.R                                |   17 
 geometa-0.9/geometa/R/ISOCodeDefinition.R                                |only
 geometa-0.9/geometa/R/ISOCodeListDictionary.R                            |only
 geometa-0.9/geometa/R/ISOCodeListValue.R                                 |   88 
 geometa-0.9/geometa/R/ISOCodelist.R                                      |  479 +-
 geometa-0.9/geometa/R/ISOCodelistCatalogue.R                             |only
 geometa-0.9/geometa/R/ISOConformanceResult.R                             |   42 
 geometa-0.9/geometa/R/ISOConstraint.R                                    |    8 
 geometa-0.9/geometa/R/ISOConstraints.R                                   |  115 
 geometa-0.9/geometa/R/ISOContact.R                                       |  155 
 geometa-0.9/geometa/R/ISOContentInformation.R                            |   23 
 geometa-0.9/geometa/R/ISOCountry.R                                       |   22 
 geometa-0.9/geometa/R/ISOCoupledResource.R                               |   10 
 geometa-0.9/geometa/R/ISOCouplingType.R                                  |   12 
 geometa-0.9/geometa/R/ISOCoverageContentType.R                           |   21 
 geometa-0.9/geometa/R/ISOCoverageDescription.R                           |   19 
 geometa-0.9/geometa/R/ISODCPList.R                                       |   12 
 geometa-0.9/geometa/R/ISODataFile.R                                      |    8 
 geometa-0.9/geometa/R/ISODataIdentification.R                            |  325 -
 geometa-0.9/geometa/R/ISODataIdentification19115_3.R                     |only
 geometa-0.9/geometa/R/ISODataIdentification19139.R                       |only
 geometa-0.9/geometa/R/ISODataQuality.R                                   |   50 
 geometa-0.9/geometa/R/ISODataQualityAbstractElement.R                    |  112 
 geometa-0.9/geometa/R/ISODataQualityCompleteness.R                       |   39 
 geometa-0.9/geometa/R/ISODataQualityLogicalConsistency.R                 |   67 
 geometa-0.9/geometa/R/ISODataQualityPositionalAccuracy.R                 |   52 
 geometa-0.9/geometa/R/ISODataQualityScope.R                              |only
 geometa-0.9/geometa/R/ISODataQualityTemporalAccuracy.R                   |   54 
 geometa-0.9/geometa/R/ISODataQualityThematicAccuracy.R                   |   79 
 geometa-0.9/geometa/R/ISODataSet.R                                       |    8 
 geometa-0.9/geometa/R/ISODatatype.R                                      |    8 
 geometa-0.9/geometa/R/ISODate.R                                          |   26 
 geometa-0.9/geometa/R/ISODateType.R                                      |   17 
 geometa-0.9/geometa/R/ISODefinitionReference.R                           |    6 
 geometa-0.9/geometa/R/ISODefinitionSource.R                              |    8 
 geometa-0.9/geometa/R/ISODescriptiveResult.R                             |only
 geometa-0.9/geometa/R/ISODigitalTransferOptions.R                        |   41 
 geometa-0.9/geometa/R/ISODimension.R                                     |   17 
 geometa-0.9/geometa/R/ISODimensionNameType.R                             |   17 
 geometa-0.9/geometa/R/ISODistance.R                                      |   26 
 geometa-0.9/geometa/R/ISODistribution.R                                  |   17 
 geometa-0.9/geometa/R/ISODistributionUnits.R                             |    8 
 geometa-0.9/geometa/R/ISODistributor.R                                   |   67 
 geometa-0.9/geometa/R/ISOElementSequence.R                               |    8 
 geometa-0.9/geometa/R/ISOEvaluationMethod.R                              |only
 geometa-0.9/geometa/R/ISOEvaluationMethodType.R                          |   17 
 geometa-0.9/geometa/R/ISOExtendedElementInformation.R                    |    8 
 geometa-0.9/geometa/R/ISOExtent.R                                        |   17 
 geometa-0.9/geometa/R/ISOFeatureAssociation.R                            |  124 
 geometa-0.9/geometa/R/ISOFeatureAttribute.R                              |   22 
 geometa-0.9/geometa/R/ISOFeatureCatalogue.R                              |   25 
 geometa-0.9/geometa/R/ISOFeatureCatalogueDescription.R                   |   45 
 geometa-0.9/geometa/R/ISOFeatureOperation.R                              |    8 
 geometa-0.9/geometa/R/ISOFeatureType.R                                   |  198 -
 geometa-0.9/geometa/R/ISOFeatureType19115_3.R                            |only
 geometa-0.9/geometa/R/ISOFeatureType19139.R                              |only
 geometa-0.9/geometa/R/ISOFeatureTypeInfo.R                               |only
 geometa-0.9/geometa/R/ISOFileName.R                                      |   17 
 geometa-0.9/geometa/R/ISOFormat.R                                        |  114 
 geometa-0.9/geometa/R/ISOFreeText.R                                      |   17 
 geometa-0.9/geometa/R/ISOGeographicBoundingBox.R                         |   17 
 geometa-0.9/geometa/R/ISOGeographicDescription.R                         |   17 
 geometa-0.9/geometa/R/ISOGeographicExtent.R                              |   17 
 geometa-0.9/geometa/R/ISOGeometricObjectType.R                           |   17 
 geometa-0.9/geometa/R/ISOGeometricObjects.R                              |   17 
 geometa-0.9/geometa/R/ISOGeorectified.R                                  |   17 
 geometa-0.9/geometa/R/ISOGeoreferenceable.R                              |   17 
 geometa-0.9/geometa/R/ISOGridSpatialRepresentation.R                     |   17 
 geometa-0.9/geometa/R/ISOIdentification.R                                |  326 -
 geometa-0.9/geometa/R/ISOIdentification19115_3.R                         |only
 geometa-0.9/geometa/R/ISOIdentification19139.R                           |only
 geometa-0.9/geometa/R/ISOImageDescription.R                              |   17 
 geometa-0.9/geometa/R/ISOImageryAcquisitionInformation.R                 |   29 
 geometa-0.9/geometa/R/ISOImageryAlgorithm.R                              |   17 
 geometa-0.9/geometa/R/ISOImageryBand.R                                   |   19 
 geometa-0.9/geometa/R/ISOImageryBandDefinition.R                         |   17 
 geometa-0.9/geometa/R/ISOImageryContext.R                                |   17 
 geometa-0.9/geometa/R/ISOImageryCoverageDescription.R                    |   17 
 geometa-0.9/geometa/R/ISOImageryCoverageResult.R                         |   59 
 geometa-0.9/geometa/R/ISOImageryEnvironmentalRecord.R                    |   47 
 geometa-0.9/geometa/R/ISOImageryEvent.R                                  |   17 
 geometa-0.9/geometa/R/ISOImageryGCP.R                                    |   15 
 geometa-0.9/geometa/R/ISOImageryGCPCollection.R                          |   46 
 geometa-0.9/geometa/R/ISOImageryGeolocationInformation.R                 |   15 
 geometa-0.9/geometa/R/ISOImageryGeometryType.R                           |   17 
 geometa-0.9/geometa/R/ISOImageryGeorectified.R                           |   17 
 geometa-0.9/geometa/R/ISOImageryGeoreferenceable.R                       |   17 
 geometa-0.9/geometa/R/ISOImageryImageDescription.R                       |   17 
 geometa-0.9/geometa/R/ISOImageryInstrument.R                             |   83 
 geometa-0.9/geometa/R/ISOImageryMetadata.R                               |   17 
 geometa-0.9/geometa/R/ISOImageryNominalResolution.R                      |   17 
 geometa-0.9/geometa/R/ISOImageryObjective.R                              |   17 
 geometa-0.9/geometa/R/ISOImageryObjectiveType.R                          |   17 
 geometa-0.9/geometa/R/ISOImageryOperation.R                              |   39 
 geometa-0.9/geometa/R/ISOImageryOperationType.R                          |   17 
 geometa-0.9/geometa/R/ISOImageryPlan.R                                   |   17 
 geometa-0.9/geometa/R/ISOImageryPlatform.R                               |   61 
 geometa-0.9/geometa/R/ISOImageryPlatformPass.R                           |   17 
 geometa-0.9/geometa/R/ISOImageryPolarisationOrientation.R                |   17 
 geometa-0.9/geometa/R/ISOImageryPriority.R                               |   17 
 geometa-0.9/geometa/R/ISOImageryProcessStep.R                            |   17 
 geometa-0.9/geometa/R/ISOImageryProcessStepReport.R                      |   17 
 geometa-0.9/geometa/R/ISOImageryProcessing.R                             |   17 
 geometa-0.9/geometa/R/ISOImageryRangeElementDescription.R                |   17 
 geometa-0.9/geometa/R/ISOImageryRequestedDate.R                          |   17 
 geometa-0.9/geometa/R/ISOImageryRequirement.R                            |   17 
 geometa-0.9/geometa/R/ISOImageryRevision.R                               |only
 geometa-0.9/geometa/R/ISOImagerySensor.R                                 |only
 geometa-0.9/geometa/R/ISOImagerySensorType.R                             |   38 
 geometa-0.9/geometa/R/ISOImagerySequence.R                               |   17 
 geometa-0.9/geometa/R/ISOImagerySource.R                                 |   17 
 geometa-0.9/geometa/R/ISOImageryTransferFunctionType.R                   |   17 
 geometa-0.9/geometa/R/ISOImageryTrigger.R                                |   17 
 geometa-0.9/geometa/R/ISOImageryUsability.R                              |    8 
 geometa-0.9/geometa/R/ISOImagingCondition.R                              |   17 
 geometa-0.9/geometa/R/ISOIndividual.R                                    |only
 geometa-0.9/geometa/R/ISOInheritanceRelation.R                           |    6 
 geometa-0.9/geometa/R/ISOInitiative.R                                    |    8 
 geometa-0.9/geometa/R/ISOInitiativeType.R                                |   17 
 geometa-0.9/geometa/R/ISOInstrumentationEvent.R                          |only
 geometa-0.9/geometa/R/ISOInstrumentationEventList.R                      |only
 geometa-0.9/geometa/R/ISOInstrumentationEventType.R                      |only
 geometa-0.9/geometa/R/ISOKeywordClass.R                                  |only
 geometa-0.9/geometa/R/ISOKeywordType.R                                   |   17 
 geometa-0.9/geometa/R/ISOKeywords.R                                      |   15 
 geometa-0.9/geometa/R/ISOLanguage.R                                      |   17 
 geometa-0.9/geometa/R/ISOLegalConstraints.R                              |   17 
 geometa-0.9/geometa/R/ISOLength.R                                        |   17 
 geometa-0.9/geometa/R/ISOLineage.R                                       |   17 
 geometa-0.9/geometa/R/ISOListedValue.R                                   |    8 
 geometa-0.9/geometa/R/ISOLocalName.R                                     |   14 
 geometa-0.9/geometa/R/ISOLocale.R                                        |   36 
 geometa-0.9/geometa/R/ISOLocaleContainer.R                               |   98 
 geometa-0.9/geometa/R/ISOLocalisedCharacterString.R                      |   17 
 geometa-0.9/geometa/R/ISOMDFeatureCatalogue.R                            |only
 geometa-0.9/geometa/R/ISOMLCodeDefinition.R                              |only
 geometa-0.9/geometa/R/ISOMLCodeListDictionary.R                          |only
 geometa-0.9/geometa/R/ISOMaintenanceFrequency.R                          |   17 
 geometa-0.9/geometa/R/ISOMaintenanceInformation.R                        |   17 
 geometa-0.9/geometa/R/ISOMeasure.R                                       |   19 
 geometa-0.9/geometa/R/ISOMeasureReference.R                              |only
 geometa-0.9/geometa/R/ISOMedium.R                                        |   15 
 geometa-0.9/geometa/R/ISOMediumFormat.R                                  |   17 
 geometa-0.9/geometa/R/ISOMediumName.R                                    |    8 
 geometa-0.9/geometa/R/ISOMemberName.R                                    |   17 
 geometa-0.9/geometa/R/ISOMetaIdentifier.R                                |   75 
 geometa-0.9/geometa/R/ISOMetadata.R                                      |  451 ++
 geometa-0.9/geometa/R/ISOMetadataExtensionInformation.R                  |    8 
 geometa-0.9/geometa/R/ISOMetadataNamespace.R                             |  320 +
 geometa-0.9/geometa/R/ISOMetadataSchemas.R                               |  136 
 geometa-0.9/geometa/R/ISOMetadataScope.R                                 |only
 geometa-0.9/geometa/R/ISOMimeFileType.R                                  |   17 
 geometa-0.9/geometa/R/ISOMultiplicity.R                                  |   17 
 geometa-0.9/geometa/R/ISOMultiplicityRange.R                             |   17 
 geometa-0.9/geometa/R/ISOObligation.R                                    |    8 
 geometa-0.9/geometa/R/ISOOnLineFunction.R                                |   17 
 geometa-0.9/geometa/R/ISOOnlineResource.R                                |   23 
 geometa-0.9/geometa/R/ISOOperationChainMetadata.R                        |only
 geometa-0.9/geometa/R/ISOOperationMetadata.R                             |   24 
 geometa-0.9/geometa/R/ISOOrganisation.R                                  |only
 geometa-0.9/geometa/R/ISOOtherAggregate.R                                |    8 
 geometa-0.9/geometa/R/ISOParameterDirection.R                            |   43 
 geometa-0.9/geometa/R/ISOPeriodDuration.R                                |only
 geometa-0.9/geometa/R/ISOPixelOrientation.R                              |   20 
 geometa-0.9/geometa/R/ISOPlatform.R                                      |    8 
 geometa-0.9/geometa/R/ISOPortrayalCatalogueReference.R                   |   17 
 geometa-0.9/geometa/R/ISOPresentationForm.R                              |   17 
 geometa-0.9/geometa/R/ISOProcessParameter.R                              |only
 geometa-0.9/geometa/R/ISOProcessStep.R                                   |   17 
 geometa-0.9/geometa/R/ISOProductionSeries.R                              |    8 
 geometa-0.9/geometa/R/ISOProgress.R                                      |only
 geometa-0.9/geometa/R/ISOPropertyType.R                                  |    6 
 geometa-0.9/geometa/R/ISOQualityResultFile.R                             |only
 geometa-0.9/geometa/R/ISOQuantitativeResult.R                            |   44 
 geometa-0.9/geometa/R/ISORangeDimension.R                                |   46 
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 geometa-0.9/geometa/tests/testthat/test_ISOFeatureCatalogue.R            |   88 
 geometa-0.9/geometa/tests/testthat/test_ISOGeographicBoundingBox.R       |   18 
 geometa-0.9/geometa/tests/testthat/test_ISOGeographicDescription.R       |   20 
 geometa-0.9/geometa/tests/testthat/test_ISOGeorectified.R                |    4 
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 908 files changed, 13982 insertions(+), 7699 deletions(-)

More information about geometa at CRAN
Permanent link

Package basefun updated to version 1.2-2 with previous version 1.2-1 dated 2025-01-17

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between basefun versions 1.2-1 dated 2025-01-17 and 1.2-2 dated 2025-01-29

 DESCRIPTION            |   10 +++++-----
 MD5                    |    8 ++++----
 inst/NEWS.Rd           |    7 +++++++
 man/Bernstein_basis.Rd |    6 +++---
 tests/bases-Ex.R       |   18 +++++++++---------
 5 files changed, 28 insertions(+), 21 deletions(-)

More information about basefun at CRAN
Permanent link

Package shinyscholar updated to version 0.2.4 with previous version 0.2.3 dated 2025-01-17

Title: A Template for Creating Reproducible 'shiny' Applications
Description: Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut] , Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [...truncated...]
Maintainer: Simon E. H. Smart <simon.smart@cantab.net>

Diff between shinyscholar versions 0.2.3 dated 2025-01-17 and 0.2.4 dated 2025-01-29

 DESCRIPTION                           |    8 -
 MD5                                   |   46 ++++-----
 NEWS.md                               |   12 +-
 R/create_template.R                   |   96 +++++++++++++------
 R/custom_modules.R                    |    6 +
 R/helper_functions.R                  |   44 +--------
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 R/select_query_f.R                    |   10 +-
 README.md                             |    2 
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 inst/app_skeleton/global.Rmd          |    4 
 inst/app_skeleton/helper_functions.R  |   40 +-------
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 inst/shiny/modules/plot_hist.R        |    2 
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 inst/shiny/modules/select_query.R     |   11 +-
 inst/shiny/server.R                   |   10 +-
 man/printVecAsis.Rd                   |   10 --
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Package RcppStreams updated to version 0.1.4 with previous version 0.1.3 dated 2019-02-25

Title: 'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream Processing
Description: The 'Streamulus' (template, header-only) library by Irit Katriel (at <https://github.com/iritkatriel/streamulus>) provides a very powerful yet convenient framework for stream processing. This package connects 'Streamulus' to R by providing both the header files and all examples.
Author: Dirk Eddelbuettel [aut, cre] , Irit Katriel [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package phoenics updated to version 0.5 with previous version 0.4 dated 2024-12-12

Title: Pathways Longitudinal and Differential Analysis in Metabolomics
Description: Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.
Author: Camille Guilmineau [aut, cre], Remi Servien [aut] , Nathalie Vialaneix [aut]
Maintainer: Camille Guilmineau <camille.guilmineau@inrae.fr>

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Package nanoparquet updated to version 0.4.0 with previous version 0.3.1 dated 2024-07-01

Title: Read and Write 'Parquet' Files
Description: Self-sufficient reader and writer for flat 'Parquet' files. Can read most 'Parquet' data types. Can write many 'R' data types, including factors and temporal types. See docs for limitations.
Author: Gabor Csardi [aut, cre], Hannes Muehleisen [aut, cph] , Google Inc. [cph], Apache Software Foundation [cph], Posit Software, PBC [cph], RAD Game Tools [cph], Valve Software [cph], Tenacious Software LLC [cph], Facebook, Inc. [cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package remstimate updated to version 2.3.13 with previous version 2.3.11 dated 2024-05-16

Title: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models
Description: A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) in relational event networks. The package accommodates both frequentist and Bayesian approaches. The frequentist approaches that the package incorporates are the Maximum Likelihood Optimization (MLE) and the Gradient-based Optimization (GDADAMAX). The Bayesian methodologies included in the package are the Bayesian Sampling Importance Resampling (BSIR) and the Hamiltonian Monte Carlo (HMC). The flexibility of choosing between frequentist and Bayesian optimization approaches allows researchers to select the estimation approach which aligns the most with their analytical preferences.
Author: Giuseppe Arena [aut, cre] , Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package remstats updated to version 3.2.4 with previous version 3.2.2 dated 2024-05-15

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Giuseppe Arena [aut, cre] , Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package remify updated to version 3.2.8 with previous version 3.2.6 dated 2024-05-15

Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] , Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

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Package MVA updated to version 1.0-9 with previous version 1.0-8 dated 2022-03-18

Title: An Introduction to Applied Multivariate Analysis with R
Description: Functions, data sets, analyses and examples from the book `An Introduction to Applied Multivariate Analysis with R' (Brian S. Everitt and Torsten Hothorn, Springer, 2011).
Author: Brian S. Everitt [aut], Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package multiplex updated to version 3.9 with previous version 3.8-3 dated 2024-11-06

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are delivered with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. 'multiplex' provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package GeneralizedUmatrix updated to version 1.3.1 with previous version 1.2.6 dated 2023-05-30

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in <DOI: 10.1016/j.mex.2020.101093>.
Author: Michael Thrun [aut, cre, cph] , Felix Pape [ctb, ctr], Tim Schreier [ctb, ctr], Luis Winckelman [ctb, ctr], Quirin Stier [ctb, ctr] , Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package party updated to version 1.3-18 with previous version 1.3-17 dated 2024-08-17

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package vegan updated to version 2.6-10 with previous version 2.6-8 dated 2024-08-28

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen [aut, cre], Gavin L. Simpson [aut], F. Guillaume Blanchet [aut], Roeland Kindt [aut], Pierre Legendre [aut], Peter R. Minchin [aut], R.B. O'Hara [aut], Peter Solymos [aut], M. Henry H. Stevens [aut], Eduard Szoecs [aut], Helene Wagner [a [...truncated...]
Maintainer: Jari Oksanen <jhoksane@gmail.com>

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Package LaMa updated to version 2.0.3 with previous version 2.0.2 dated 2024-11-20

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>

Diff between LaMa versions 2.0.2 dated 2024-11-20 and 2.0.3 dated 2025-01-29

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 LaMa-2.0.3/LaMa/MD5                                                                                      |   78 +--
 LaMa-2.0.3/LaMa/NAMESPACE                                                                                |   14 
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 LaMa-2.0.3/LaMa/R/residual_functions.R                                                                   |   18 
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 LaMa-2.0.3/LaMa/inst/doc/MMMPPs.html                                                                     |    2 
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 LaMa-2.0.3/LaMa/man/penalty.Rd                                                                           |    8 
 LaMa-2.0.3/LaMa/man/qreml.Rd                                                                             |   20 
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 LaMa-2.0.3/LaMa/man/vm.Rd                                                                                |    2 
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Package ijtiff updated to version 2.3.5 with previous version 2.3.4 dated 2023-12-12

Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.net/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] , Kent Johnson [aut], Simon Urbanek [ctb], Sergi Padilla-Parra [ths] , Jeroen Ooms [rev, ctb] , Jon Clayden [rev]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package gasanalyzer updated to version 0.4.3 with previous version 0.4.2 dated 2024-12-03

Title: Import, Recompute and Analyze Data from Portable Gas Analyzers
Description: The gasanalyzer R package offers methods for importing, preprocessing, and analyzing data related to photosynthetic characteristics (gas exchange, chlorophyll fluorescence and isotope ratios). It translates variable names into a standard format, and can recalculate derived, physiological quantities using imported or predefined equations. The package also allows users to assess the sensitivity of their results to different assumptions used in the calculations. See also Tholen (2024) <doi:10.1093/aobpla/plae035>.
Author: Danny Tholen [aut, cre]
Maintainer: Danny Tholen <thalecress+p@gmail.com>

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Package survivalSL updated to version 0.97 with previous version 0.96 dated 2024-08-26

Title: Super Learner for Survival Prediction from Censored Data
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>

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Package rtypeform updated to version 2.1.1 with previous version 2.1.0 dated 2020-08-31

Title: Interface to 'typeform' Results
Description: An R interface to the 'typeform' <https://www.typeform.com/> application program interface. Also provides functions for downloading your results.
Author: Colin Gillespie [aut, cre], Jamie Owen [aut]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between rtypeform versions 2.1.0 dated 2020-08-31 and 2.1.1 dated 2025-01-29

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Package prqlr updated to version 0.10.0 with previous version 0.9.0 dated 2024-09-20

Title: R Bindings for the 'prqlc' Rust Library
Description: Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.
Author: Tatsuya Shima [aut, cre], Authors of the dependency Rust crates [aut]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>

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Package spray updated to version 1.0-27 with previous version 1.0-26 dated 2024-08-19

Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.10848>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package Rdiagnosislist updated to version 1.4.0 with previous version 1.3 dated 2024-10-28

Title: Manipulate SNOMED CT Diagnosis Lists
Description: Functions and methods for manipulating 'SNOMED CT' concepts. The package contains functions for loading the 'SNOMED CT' release into a convenient R environment, selecting 'SNOMED CT' concepts using regular expressions, and navigating the 'SNOMED CT' ontology. It provides the 'SNOMEDconcept' S3 class for a vector of 'SNOMED CT' concepts (stored as 64-bit integers) and the 'SNOMEDcodelist' S3 class for a table of concepts IDs with descriptions. The package can be used to construct sets of 'SNOMED CT' concepts for research (<doi:10.1093/jamia/ocac158>). For more information about 'SNOMED CT' visit <https://www.snomed.org/>.
Author: Anoop D. Shah [aut, cre]
Maintainer: Anoop D. Shah <anoop@doctors.org.uk>

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Package MiscMetabar updated to version 0.12.1 with previous version 0.10.1 dated 2024-10-07

Title: Miscellaneous Functions for Metabarcoding Analysis
Description: Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.
Author: Adrien Taudiere [aut, cre, cph]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>

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Package CRM (with last version 1.2.4) was removed from CRAN

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

2018-09-26 1.2.4
2012-03-01 1.1.1
2011-10-20 1.1.0

Permanent link
Package yulab.utils updated to version 0.2.0 with previous version 0.1.9 dated 2025-01-07

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package PAMscapes updated to version 0.10.0 with previous version 0.7.0 dated 2024-09-22

Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://rda.ucar.edu/datasets/ds084.1/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.
Author: Taiki Sakai [aut, cre], Anne Simonis [ctb], Shannon Rankin [ctb], Megan McKenna [ctb], Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package renv updated to version 1.1.0 with previous version 1.0.11 dated 2024-10-12

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.11 dated 2024-10-12 and 1.1.0 dated 2025-01-29

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Package mixedBayes updated to version 0.1.4.1 with previous version 0.1.4 dated 2025-01-07

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 FIESTAutils updated to version 1.3.0 with previous version 1.2.3 dated 2024-05-15

Title: Utility Functions for Forest Inventory Estimation and Analysis
Description: A set of tools for data wrangling, spatial data analysis, statistical modeling (including direct, model-assisted, photo-based, and small area tools), and USDA Forest Service data base tools. These tools are aimed to help Foresters, Analysts, and Scientists extract and perform analyses on USDA Forest Service data.
Author: Tracey Frescino [aut], Chris Toney [aut], Grayson White [aut, cre], Joshua Yamamoto [aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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