Nothing
my.pInit <- function(p.Init, phi.Obs, model.Phi, p.nclass = 2,
cub.method = c("fits", "appr", "pred")){
if(is.null(p.Init)){
sigma2Obs <- var(log(phi.Obs))
sigmaW.Init <- sqrt(.2 * sigma2Obs) # \sigma_W
if(model.Phi == "lognormal"){
nu.Phi.Init <- mean(log(phi.Obs))
sigma.Phi.Init <- sqrt(.8 * sigma2Obs) # \sigma_phi
ret <- c(sigmaW.Init, nu.Phi.Init, sigma.Phi.Init)
### One more for bias.Phi.
if(.CF.CONF$estimate.bias.Phi){
nu.Phi.Init <- - sigma.Phi.Init^2 / 2
bias.Phi.Init <- log(mean(phi.Obs)) - nu.Phi.Init
ret <- c(sigmaW.Init, nu.Phi.Init, sigma.Phi.Init, bias.Phi.Init)
}
} else if(model.Phi[1] == "logmixture"){
if(p.nclass <= 1){
stop("p.nclass > 1 required")
}
log.phi.Obs <- matrix(log(phi.Obs), ncol = 1)
tmp <- EMCluster::rand.EM(log.phi.Obs, nclass = as.integer(p.nclass),
min.n = length(phi.Obs) * 0.025,
EMC = EMCluster::.EMControl(short.eps = Inf))
tmp.em <- EMCluster::rand.EM(log.phi.Obs, nclass = as.integer(p.nclass),
min.n = length(phi.Obs) * 0.025,
EMC = EMCluster::.EMControl())
if(tmp.em$llhdval > tmp$llhdval){
tmp <- tmp.em
}
id <- order(tmp$Mu)
paramlog <- c(tmp$pi[id], tmp$Mu[id], sqrt(tmp$LTSigma[id]))
ret <- c(sigmaW.Init, paramlog)
} else{
stop("model.Phi is not found.")
}
if(cub.method[1] == "appr"){
ret <- ret[-1]
}
} else{
ret <- p.Init
}
ret
} # End of my.pInit().
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.