Learn R Programming

ROOPSD (version 0.3.9)

R Object Oriented Programming for Statistical Distribution

Description

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) . 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) .

Copy Link

Version

Install

install.packages('ROOPSD')

Monthly Downloads

1,707

Version

0.3.9

License

CeCILL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Yoann Robin

Last Published

September 11th, 2023

Functions in ROOPSD (0.3.9)

AbstractDist

AbstractDist
Exponential

Exponential
dgev

dgev
Uniform

Uniform
GPD

GPD
mrv_histogram

mrv_histogram
GEV

GEV
dgpd

dgpd
Gamma

Gamma
Normal

Normal
rgev

rgev
rgpd

rgpd
pgev

pgev
rmultivariate_normal

rmultivariate_normal
rorthogonal_group

rorthogonal_group
rspd_matrix

rspd_matrix
rv_histogram

rv_histogram
pgpd

pgpd
qgev

qgev
qgpd

qgpd
rv_mixture

rv_mixture
rv_ratio_histogram

rv_ratio_histogram