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) <arXiv:math-ph/0609050>.

Getting started

Package details

AuthorYoann Robin [aut, cre]
MaintainerYoann Robin <yoann.robin.k@gmail.com>
LicenseCeCILL-2
Version0.2.5
URL https://github.com/yrobink/ROOPSD
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ROOPSD")

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ROOPSD documentation built on Aug. 26, 2020, 5:15 p.m.