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)
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