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Estimates multivariate subgaussian stable densities and probabilities as well as generates random variates using product distribution theory. A function for estimating the parameters from data to fit a distribution to data is also provided, using the method from Nolan (2013) <doi:10.1007/s00180-013-0396-7>.
Version: | 0.0.4 |
Depends: | R (≥ 3.4.0) |
Imports: | matrixStats, stabledist, libstable4u, mvtnorm, stats, cubature, Matrix |
Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
Published: | 2023-09-03 |
DOI: | 10.32614/CRAN.package.mvpd |
Author: | Bruce Swihart |
Maintainer: | Bruce Swihart <bruce.swihart at gmail.com> |
BugReports: | https://github.com/swihart/mvpd/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/swihart/mvpd |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Distributions |
CRAN checks: | mvpd results |
Reference manual: | mvpd.pdf |
Package source: | mvpd_0.0.4.tar.gz |
Windows binaries: | r-devel: mvpd_0.0.4.zip, r-release: mvpd_0.0.4.zip, r-oldrel: mvpd_0.0.4.zip |
macOS binaries: | r-release (arm64): mvpd_0.0.4.tgz, r-oldrel (arm64): mvpd_0.0.4.tgz, r-release (x86_64): mvpd_0.0.4.tgz, r-oldrel (x86_64): mvpd_0.0.4.tgz |
Old sources: | mvpd archive |
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