Package: NORTARA
Title: Generation of Multivariate Data with Arbitrary Marginals
Version: 1.0.0
Authors@R: person("Po", "Su", email = "desolator@sjtu.edu.cn",
    role = c("aut", "cre"))
Description: 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.
URL: https://github.com/superdesolator/NORTARA
BugReports: https://github.com/superdesolator/NORTARA/issues
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Imports: corpcor(>= 1.6.7), Matrix(>= 1.1-4)
Suggests: knitr
VignetteBuilder: knitr
Packaged: 2014-12-20 14:29:55 UTC; Administrator
Author: Po Su [aut, cre]
Maintainer: Po Su <desolator@sjtu.edu.cn>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-20 15:46:33
Built: R 3.1.2; ; 2014-12-21 13:23:33 UTC; unix
