Problem in while loop
Your code is not reproducible nor minimal, but why don't you put a command print(acceptprob) in and see if you are getting reasonable values. If these values are extremely low it shouldn't surprise you that your loop takes a long time to run. More generally, read up on the use of print() and browser() as debugging tools. Michael On Mon, Dec 5, 2011 at 3:47 PM, Gyanendra Pokharel
<gyanendra.pokharel at gmail.com> wrote:
I forgot to upload the R-code in last email, so heare is one
epiann <- function(T0 = 1, N=1000, ainit=1, binit=1,rho = 0.99, amean = 3,
bmean=1.6, avar =.1, bvar=.1, f){
? ? ? ?moving <- 1
? ? ? ?count <- 0
? ? ? ?Temp <- T0
? ? ? ?aout <- ainit
? ? ? ?bout <- binit
? ? ? ?while(moving > 0){
? ? ? ? ? ? ? ?moving <- 0
? ? ? ? ? ? ? ?for (i in 1:N) {
? ? ? ? ? ? ? ?aprop <- rnorm (1,amean, avar)
? ? ? ? ? ? ? ?bprop <- rnorm (1,bmean, bvar)
? ? ? ? ? ? ? ?if (aprop > 0 & bprop > 0){
? ? ? ? ? ? ? ?acceptprob <- min(1,exp((f(aout, bout) -
f(aprop,bprop))/Temp))
? ? ? ? ? ? ? ?u <- runif(1)
? ? ? ? ? ? ? ?if(u<acceptprob){
? ? ? ? ? ? ? ? ? ?moving <- moving +1
? ? ? ? ? ? ? ? ? ?aout <- aprop
? ? ? ? ? ? ? ? ? ?bout <- bprop
? ? ? ? ? ? ? ? ? ?}
? ? ? ? ? ? ? ? ? ?else{aprob <- aout
? ? ? ? ? ? ? ? ? ? ? ?bprob <- bout}
? ? ? ? ? ? ? ?}
? ? ? ? ? ?}
? ? ? ?Temp <- Temp*rho
? ? ? ? ? ?count <- count +1
? ?}
? ?fmin <- f(aout,bout)
? ?return(c(aout, bout,fmin, count) )
}
out<- epiann(f = loglikelihood)
On Mon, Dec 5, 2011 at 3:46 PM, Gyanendra Pokharel <
gyanendra.pokharel at gmail.com> wrote:
Hi all, I have the following code, When I run the code, it never terminate this is because of the while loop i am using. In general, if you need a loop for which you don't know in advance how many iterations there will be, you can use the `while' statement so here too i don't know the number how many iterations are there. So Can some one suggest me whats going on? I am using the Metropolis simulated annealing algorithm Best
? ? ? ?[[alternative HTML version deleted]]
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