Displaying 2 results from an estimated 2 matches for "mu1t".
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2012 Oct 05
2
problem with convergence in mle2/optim function
...((mu1 + mu2 + p1 + p2)^2 - 4*(mu2*p1 + mu1*(mu2 + p2)))))/
exp((1/2)*(mu1 + mu2 + p1 + p2 + sqrt((mu1 + mu2 + p1 + p2)^2 -
4*(mu2*p1 + mu1*(mu2 + p2))))*t)/(2*(mu2*p1 + mu1*(mu2 + p2))*
sqrt((mu1 + mu2 + p1 + p2)^2 - 4*(mu2*p1 + mu1*(mu2 + p2)))))
# True parameter values
p1t = 2; p2t = 2; mu1t = 0.001; mu2t = 0.001
# Function to calculate probabilities from 'true' parameter values
psim <- function(x){
params <- list(p1 = p1t, p2 = p2t, mu1 = mu1t, mu2 = mu2t, t = x)
eval.P1 <- eval(P1, params)
eval.P2 <- eval(P2, params)
P3 <- 1 - eval.P1 - eval.P2...
2012 Sep 27
0
problems with mle2 convergence and with writing gradient function
...((mu1 + mu2 + p1 + p2)^2 - 4*(mu2*p1 + mu1*(mu2 + p2)))))/
exp((1/2)*(mu1 + mu2 + p1 + p2 + sqrt((mu1 + mu2 + p1 + p2)^2 -
4*(mu2*p1 + mu1*(mu2 + p2))))*t)/(2*(mu2*p1 + mu1*(mu2 + p2))*
sqrt((mu1 + mu2 + p1 + p2)^2 - 4*(mu2*p1 + mu1*(mu2 + p2)))))
# True parameter values
p1t = 2; p2t = 2; mu1t = 0.001; mu2t = 0.001
# Function to calculate model probabilities from true parameter values
psim <- function(x){
params <- list(p1 = p1t, p2 = p2t, mu1 = mu1t, mu2 = mu2t, t = x)
eval.P1 <- eval(P1, params)
eval.P2 <- eval(P2, params)
P3 <- 1 - eval.P1 - eval.P2
c(x,...