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pbox: Exploring Multivariate Spaces with Probability Boxes

Advanced statistical library offering a method to encapsulate and query the probability space of a dataset effortlessly using Probability Boxes (p-boxes). Its distinctive feature lies in the ease with which users can navigate and analyze marginal, joint, and conditional probabilities while taking into account the underlying correlation structure inherent in the data using copula theory and models. A comprehensive explanation is available in the paper "pbox: Exploring Multivariate Spaces with Probability Boxes" to be published in the Journal of Statistical Software.

Version: 0.1.8
Depends: gamlss.dist, R (≥ 2.10)
Imports: copula, data.table, gamlss, methods, purrr, stats, stringr, utils
Suggests: ggplot2, knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2024-05-27
DOI: 10.32614/CRAN.package.pbox
Author: Ahmed T. Hammad ORCID iD [aut, cre, cph]
Maintainer: Ahmed T. Hammad <ahmed.t.hammad at gmail.com>
BugReports: https://github.com/athammad/pbox/issues
License: GPL-3
URL: https://www.r-project.org, https://github.com/athammad/pbox
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: pbox results

Documentation:

Reference manual: pbox.pdf
Vignettes: pbox Package Vignette

Downloads:

Package source: pbox_0.1.8.tar.gz
Windows binaries: r-devel: pbox_0.1.8.zip, r-release: pbox_0.1.8.zip, r-oldrel: pbox_0.1.8.zip
macOS binaries: r-release (arm64): pbox_0.1.8.tgz, r-oldrel (arm64): pbox_0.1.8.tgz, r-release (x86_64): pbox_0.1.8.tgz, r-oldrel (x86_64): pbox_0.1.8.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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