hypvolgmm() implementing estimation of
hypervolume.GMMlogreturn()
to be passed to densityMclust().densityMclustBounded().MclustBounded().optimControl = list(..., usegr = FALSE) in
densityMclustBounded() and
MclustBounded().GMMlogreturn() to model log-returns financial
data via GMMs.VaR() and ES() to compute risk
measures from GMMs.densityMclustBounded() allows to have lambda values
fixed for a subset of variables while to estimate lambda parameters for
the remaining variables.densityMclustBounded() added noise component.densityMclustBounded() and MclustBounded()
include an optional argument criterion to specify the
information criterion for model selection.roxygen2
package.softmax() and logsumexp()
functions coded in Fortran. This replaces previously included functions
of the same name (now removed).prior and nstart arguments to
densityMclustBounded() function.rangepowerBackTransform().rangepowerTransform() and
rangepowerBackTransform().help(EntropyGMM).lbound = NULL and
ubound = NULL, in which case only power transformation is
performed.predict.densityMclustBounded()
function.MclustMEM() and accompanying
functions.densityMclustBounded() and accompanying
functions.
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