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triangulr: High-Performance Triangular Distribution Functions

A collection of high-performance functions for the triangular distribution that consists of the probability density function, cumulative distribution function, quantile function, random variate generator, moment generating function, characteristic function, and expected shortfall function. References: Samuel Kotz, Johan Ren Van Dorp (2004) <doi:10.1142/5720> and Acerbi, Carlo and Tasche, Dirk. (2002) <doi:10.1111/1468-0300.00091>.

Version: 1.2.1
Depends: R (≥ 3.3)
Imports: rlang (≥ 0.4.11), vctrs (≥ 0.3.8)
LinkingTo: cpp11
Suggests: testthat (≥ 3.0.2)
Published: 2021-05-27
DOI: 10.32614/CRAN.package.triangulr
Author: Alvin Nursalim [aut, cre]
Maintainer: Alvin Nursalim <irkaalv at gmail.com>
BugReports: https://github.com/irkaal/triangulr/issues
License: MIT + file LICENSE
URL: https://github.com/irkaal/triangulr/ https://irkaal.github.io/triangulr/
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: triangulr results

Documentation:

Reference manual: triangulr.pdf

Downloads:

Package source: triangulr_1.2.1.tar.gz
Windows binaries: r-devel: triangulr_1.2.1.zip, r-release: triangulr_1.2.1.zip, r-oldrel: triangulr_1.2.1.zip
macOS binaries: r-release (arm64): triangulr_1.2.1.tgz, r-oldrel (arm64): triangulr_1.2.1.tgz, r-release (x86_64): triangulr_1.2.1.tgz, r-oldrel (x86_64): triangulr_1.2.1.tgz
Old sources: triangulr archive

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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