Hi,
I want to calculate, for any likelihood function, the value(s) of the
parameter of interest that makes the likelihood equal to 1/8-th of the
value of the likelihood at the maximum. Say, with the following toy
example with a binomial distribution and with interest in p:
p<-seq(0.01,0.99,by=0.001)
n=113
y=28
llbin<-y*log(p)+(n-y)*log(1-p) #log-likelihood
lbin<-exp(llbin) #likelihood
rlbin<-mat.or.vec(length(p),nc=1) #relative-likelihood
for (i in 1:length(p)) {
rlbin[i]<-lbin[i]/max(lbin)
}
How do I obtain the value of p such that rlbin=0.125?
It doesn't seem to me that I can do this using solve.
I can do this
rlbinp<-cbind(rlbin,p)
rlbinp
and actually look at the two values of p that make the rlbin go down to
0.125*max(rlbin), but there must be another way.
The corresponding function in Octave (and Matlab) is fzero.
Thanks in advance,
Rubén
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