The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ROOPSD: R Object Oriented Programming for Statistical Distribution

Statistical distribution in OOP (Object Oriented Programming) way. This package proposes a R6 class interface to classic statistical distribution, and new distributions can be easily added with the class AbstractDist. A useful point is the generic fit() method for each class, which uses a maximum likelihood estimation to find the parameters of a dataset, see, e.g. Hastie, T. and al (2009) <isbn:978-0-387-84857-0>. Furthermore, the rv_histogram class gives a non-parametric fit, with the same accessors that for the classic distribution. Finally, three random generators useful to build synthetic data are given: a multivariate normal generator, an orthogonal matrix generator, and a symmetric positive definite matrix generator, see Mezzadri, F. (2007) <doi:10.48550/arXiv.math-ph/0609050>.

Version: 0.3.9
Depends: R (≥ 3.3)
Imports: methods, R6, Lmoments, numDeriv
Published: 2023-09-11
DOI: 10.32614/CRAN.package.ROOPSD
Author: Yoann Robin [aut, cre]
Maintainer: Yoann Robin <yoann.robin.k at gmail.com>
License: CeCILL-2
URL: https://github.com/yrobink/ROOPSD
NeedsCompilation: no
In views: Distributions
CRAN checks: ROOPSD results

Documentation:

Reference manual: ROOPSD.pdf

Downloads:

Package source: ROOPSD_0.3.9.tar.gz
Windows binaries: r-devel: ROOPSD_0.3.9.zip, r-release: ROOPSD_0.3.9.zip, r-oldrel: ROOPSD_0.3.9.zip
macOS binaries: r-release (arm64): ROOPSD_0.3.9.tgz, r-oldrel (arm64): ROOPSD_0.3.9.tgz, r-release (x86_64): ROOPSD_0.3.9.tgz, r-oldrel (x86_64): ROOPSD_0.3.9.tgz
Old sources: ROOPSD archive

Reverse dependencies:

Reverse imports: ftsa, SBCK

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ROOPSD to link to this page.

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.
Health stats visible at Monitor.