Nothing
##
## PURPOSE: Computation of the conditional univariate densities given one margin
## (plug-in version)
## * method for objects of class NMixMCMC
##
## AUTHOR: Arnost Komarek (LaTeX: Arno\v{s}t Kom\'arek)
## arnost.komarek[AT]mff.cuni.cz
##
## CREATED: 28/05/2009
##
## FUNCTIONS: NMixPlugCondDensMarg.NMixMCMC (28/05/2009)
##
## ======================================================================
## *************************************************************
## NMixPlugCondDensMarg.NMixMCMC
## *************************************************************
NMixPlugCondDensMarg.NMixMCMC <- function(x, icond, grid, lgrid=50, scaled=FALSE, ...)
{
if (missing(icond)) stop("icond must be given")
if (x$dim == 1) stop("not applicable for univariate mixtures")
if (x$prior$priorK != "fixed") stop("only implemented for models with fixed number of components")
if (x$nx_w > 1) stop("This function has not (yet) been implemented if a factor covariate on mixture weights is present.")
if (missing(grid)){
grid <- list()
if (scaled){
if (x$dim == 1){
rangeGrid <- x$summ.z.Mean["Median"] + c(-3.5, 3.5)*x$summ.z.SDCorr["Median"]
grid[[1]] <- seq(rangeGrid[1], rangeGrid[2], length=lgrid)
}else{
for (i in 1:x$dim){
rangeGrid <- x$summ.z.Mean["Median", i] + c(-3.5, 3.5)*x$summ.z.SDCorr["Median", (i-1)*(2*x$dim - i + 2)/2 + 1]
grid[[i]] <- seq(rangeGrid[1], rangeGrid[2], length=lgrid)
}
}
}else{
if (x$dim == 1){
rangeGrid <- x$summ.y.Mean["Median"] + c(-3.5, 3.5)*x$summ.y.SDCorr["Median"]
grid[[1]] <- seq(rangeGrid[1], rangeGrid[2], length=lgrid)
}else{
for (i in 1:x$dim){
rangeGrid <- x$summ.y.Mean["Median", i] + c(-3.5, 3.5)*x$summ.y.SDCorr["Median", (i-1)*(2*x$dim - i + 2)/2 + 1]
grid[[i]] <- seq(rangeGrid[1], rangeGrid[2], length=lgrid)
}
}
}
names(grid) <- paste("x", 1:x$dim, sep="")
}
if (x$dim == 1) if (is.numeric(grid)) grid <- list(x1=grid)
if (!is.list(grid)) stop("grid must be a list")
if (scaled) scale <- list(shift=0, scale=1)
else scale <- x$scale
return(NMixPlugCondDensMarg.default(x=grid, icond=icond, scale=scale, w=x$poster.mean.w, mu=x$poster.mean.mu, Sigma=x$poster.mean.Sigma))
}
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