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.
Version: 1.1.0 Depends: R (≥ 3.5.0) Imports: rvinecopulib (≥ 0.5.1.1.0), lavaan (≥ 0.6-5), nleqslv, PearsonDS, MASS, stats, tmvtnorm, Matrix Suggests: rmarkdown, knitr, R.rsp, GGally, psych, testthat (≥ 3.0.0) Published: 2024-05-31 DOI: 10.32614/CRAN.package.covsim Author: Njaal Foldnes [aut, cre], Steffen Grønneberg [aut] Maintainer: Njaal Foldnes <njal.foldnes at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: covsim citation info Materials: README NEWS CRAN checks: covsim results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=covsim to link to this page.
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