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An implementation of a specific method for generating ndimensional 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 rootfinding algorithm. The marginals can be continuous or discrete. See the vignette of package for more details.
Package details 


Author  Po Su [aut, cre] 
Maintainer  Po Su <[email protected]> 
License  MIT + file LICENSE 
Version  1.0.0 
URL  https://github.com/superdesolator/NORTARA 
Package repository  View on CRAN 
Installation 
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