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.RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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