CRAN/E | covsim

covsim

VITA, IG and PLSIM Simulation for Given Covariance and Marginals

Installation

About

Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) doi:10.1007/s11336-017-9569-6. See also Grønneberg, Foldnes and Marcoulides (2022) doi:10.18637/jss.v102.i03. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator) and PLSIM (piecewise linear) algorithms, see Foldnes and Olsson (2016) doi:10.1080/00273171.2015.1133274 and Foldnes and Grønneberg (2021) doi:10.1080/10705511.2021.1949323, respectively.

Citation covsim citation info

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2022-04-29 721 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks covsim results

Downloads

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Maintainer

Maintainer

Njaal Foldnes

njal.foldnes@gmail.com

Authors

Njaal Foldnes

aut / cre

Steffen Grønneberg

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Covsim: Simulating non-normal data with given covariance matrix

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

covsim archive

Depends

R ≥ 3.5.0

Imports

rvinecopulib ≥ 0.5.1.1.0
lavaan ≥ 0.6-5
nleqslv
PearsonDS
MASS
stats
Rcpp
gsl
tmvtnorm
Matrix

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