An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
msir.slices()
.NAMESPACE
.verbose
argument to summary.msir()
.mvdnorm()
function which should be more stable in the case of near singularity of covariance matrix.DESCRIPTION
file.msir.components()
, now it preserves the order of slices.msir.regularizedSigma()
.'msir'
object returns the normalized basis vectors in component $basis
and raw eigenvectors in component $evectors
.