Nothing
##
## PURPOSE: Computation of the marginal (univariate) densities
## (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
## 01/04/2015: code allowing for a factor covariate
## on mixture weights implemented
##
## FUNCTIONS: NMixPlugDensMarg.NMixMCMC (28/05/2009)
##
## ======================================================================
## *************************************************************
## NMixPlugDensMarg.NMixMCMC
## *************************************************************
NMixPlugDensMarg.NMixMCMC <- function(x, grid, lgrid=500, scaled=FALSE, ...)
{
if (x$prior$priorK != "fixed") stop("only implemented for models with fixed number of components")
if (scaled) scale <- list(shift = 0, scale = 1)
else scale <- x$scale
if (x$nx_w == 1){
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)
}
}
}
}
if (x$dim == 1) if (is.numeric(grid)) grid <- list(x1 = grid)
if (!is.list(grid)) stop("grid must be a list")
names(grid) <- paste("x", 1:x$dim, sep="")
dns <- NMixPlugDensMarg.default(x = grid, scale = scale, w = x$poster.mean.w, mu = x$poster.mean.mu, Sigma = x$poster.mean.Sigma)
dns$nx_w <- 1
dns$lx_w <- ""
return(dns)
}else{
if (missing(grid)){
grid <- list()
if (scaled){
for (ixw in 1:x$nx_w){
for (i in 1:x$dim){
naamM <- paste("z.Mean.", i, "-", x$lx_w[ixw], sep = "")
naamS <- paste("z.SD.", i, "-", x$lx_w[ixw], sep = "")
rangeGrid <- x$summ.z.Mean["Median", naamM] + c(-3.5, 3.5) * x$summ.z.SDCorr["Median", naamS]
grid[[(ixw - 1)*x$dim + i]] <- seq(rangeGrid[1], rangeGrid[2], length = lgrid)
}
}
}else{
for (ixw in 1:x$nx_w){
for (i in 1:x$dim){
naamM <- paste("y.Mean.", i, "-", x$lx_w[ixw], sep = "")
naamS <- paste("y.SD.", i, "-", x$lx_w[ixw], sep = "")
rangeGrid <- x$summ.y.Mean["Median", naamM] + c(-3.5, 3.5) * x$summ.y.SDCorr["Median", naamS]
grid[[(ixw - 1)*x$dim + i]] <- seq(rangeGrid[1], rangeGrid[2], length = lgrid)
}
}
}
}
if (!is.list(grid)) stop("grid must be a list")
names(grid) <- paste("x", rep(1:x$dim, x$nx_w), "-", rep(x$lx_w, each = x$dim), sep="")
dns <- list(x = grid)
for (ixw in 1:x$nx_w){
gridixw <- list()
for (i in 1:x$dim){
gridixw[[i]] <- grid[[(ixw - 1)*x$dim + i]]
}
names(gridixw) <- paste("x", 1:x$dim, sep = "")
tmp <- NMixPlugDensMarg.default(x = gridixw, scale = scale, w = x$poster.mean.w[(ixw - 1)*x$K[1] + 1:x$K[1]], mu = x$poster.mean.mu, Sigma = x$poster.mean.Sigma)
if (ixw == 1){
dns$dens <- tmp$dens
}else{
for (i in 1:x$dim) dns$dens[[(ixw - 1) * x$dim + i]] <- tmp$dens[[i]]
}
}
names(dns$dens) <- paste(rep(1:x$dim, x$nx_w), "-", rep(x$lx_w, each = x$dim), sep="")
dns$nx_w <- x$nx_w
dns$lx_w <- x$lx_w
class(dns) <- "NMixPlugDensMarg"
return(dns)
}
}
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