Package: ROOPSD 0.3.9

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>.

Authors:Yoann Robin [aut, cre]

ROOPSD_0.3.9.tar.gz
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ROOPSD.pdf |ROOPSD.html✨
ROOPSD/json (API)

Peer review:

Bug tracker:https://github.com/yrobink/roopsd/issues

On CRAN:

22 exports 1 stars 2.63 score 5 dependencies 11 dependents 3 scripts 908 downloads

Last updated 1 years agofrom:1a51d74a0b. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:AbstractDistdgevdgpdExponentialGammaGEVGPDmrv_histogramNormalpgevpgpdqgevqgpdrgevrgpdrmultivariate_normalrorthogonal_grouprspd_matrixrv_histogramrv_mixturerv_ratio_histogramUniform

Dependencies:LmomentsnumDerivR6RcppRcppArmadillo