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) . 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) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ROOPSD")

0.2.5 by Yoann Robin, a year ago


https://github.com/yrobink/ROOPSD


Browse source code at https://github.com/cran/ROOPSD


Authors: Yoann Robin [aut, cre]


Documentation:   PDF Manual  


Task views: Probability Distributions


CeCILL-2 license


Imports methods, R6, Lmoments


See at CRAN