skewMLRM: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions

Provide data generation and estimation tools for the multivariate scale mixtures of normal presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011) <doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y> and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020) <doi:10.1080/03610918.2020.1804582>.

Version: 1.6
Depends: R (≥ 4.0.0), stats, foreach
Imports: moments, clusterGeneration, doParallel, parallel, MASS, mvtnorm, matrixcalc
Suggests: sn
Published: 2021-11-24
Author: Clecio Ferreira [aut], Diego Gallardo [aut, cre], Camila Zeller [aut]
Maintainer: Diego Gallardo <diego.gallardo at uda.cl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: skewMLRM results

Documentation:

Reference manual: skewMLRM.pdf

Downloads:

Package source: skewMLRM_1.6.tar.gz
Windows binaries: r-devel: skewMLRM_1.6.zip, r-release: skewMLRM_1.5.zip, r-oldrel: skewMLRM_1.6.zip
macOS binaries: r-release (arm64): skewMLRM_1.6.tgz, r-release (x86_64): skewMLRM_1.6.tgz, r-oldrel: skewMLRM_1.6.tgz
Old sources: skewMLRM archive

Reverse dependencies:

Reverse imports: tpn

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