NORTARA: Generation of Multivariate Data with Arbitrary Marginals
Version 1.0.0

An implementation of a specific method for generating n-dimensional random vectors with given marginal distributions and correlation matrix. The method uses the NORTA (NORmal To Anything) approach which generates a standard normal random vector and then transforms it into a random vector with specified marginal distributions and the RA (Retrospective Approximation) algorithm which is a generic stochastic root-finding algorithm. The marginals can be continuous or discrete. See the vignette of package for more details.

Package details

AuthorPo Su [aut, cre]
Date of publication2014-12-20 15:46:33
MaintainerPo Su <[email protected]>
LicenseMIT + file LICENSE
Version1.0.0
URL https://github.com/superdesolator/NORTARA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NORTARA")

Try the NORTARA package in your browser

Any scripts or data that you put into this service are public.

NORTARA documentation built on May 30, 2017, 6:28 a.m.