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@Gedevan-Aleksizde Gedevan-Aleksizde/mle.R
Last active Oct 14, 2016

What would you like to do?
require(stats4) # 3.3.1
nloglik_lnormal <- function(lmu, lsigma){
# df columns: b.u(pper border), b.l(ower border), n(umber of households)
n*log(plnorm(b.u, meanlog=lmu, sdlog = exp(lsigma))
- plnorm(b.l, meanlog=lmu, sdlog = exp(lsigma))
) - sum(log(1:sum(df$n)))
result.ln <- list()
for( a in df$region %>% unique()){
temp <- filter(df, region == a) %>% select(b.u, b.l, n)
result.ln[[a]] <- mle(nloglik_lnormal, start=list(lmu=log(350), lsigma=1))

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commented Oct 14, 2016

return lsigma in logarithm

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