Nothing
### Generate phi.Obs based on param returned from mixnorm.optim().
### log(Phi) ~ \sum_k p_k N(mu_k, sigma_k^2)
### log(Phi^{obs}) = log(Phi) + N(0, sigma_e^2)
simu.mixnormerr <- function(n, param){
id.K <- sample(1:param$K, n, replace = TRUE, prob = param$prop)
n.K <- tabulate(id.K, nbins = param$K)
ret <- list(Phi = rep(0.0, n), phi.Obs = rep(0.0, n), id.K = id.K)
for(i.k in 1:length(n.K)){
if(n.K[i.k] != 0){
tmp <- rnorm(n.K[i.k], param$mu[i.k], sqrt(param$sigma2[i.k]))
tmp.err <- tmp + rnorm(n.K[i.k], 0, sqrt(param$sigma2.e))
ret$Phi[id.K == i.k] <- exp(tmp)
ret$phi.Obs[id.K == i.k] <- exp(tmp.err)
}
}
ret
} # End of simu.mixnormerr().
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.