VITA, IG and PLSIM Simulation for Given Covariance and Marginals R package covsim version 1.1.0 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. Software 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) Njaal Foldnes <njal.foldnes@gmail.com> Comprehensive R Archive Network (CRAN) Njaal Foldnes [aut, cre], Steffen Grønneberg [aut] GPL (>= 2) 2024-05-31 application/tgz https://CRAN.R-project.org/package=covsim doi:10.32614/CRAN.package.covsim