https://github.com/cran/bbmle
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Tip revision: 8ad8abe703f98bb6432668bf54ce2b6a3bf8708a authored by Ben Bolker on 09 December 2023, 01:00:02 UTC
version 1.0.25.1
Tip revision: 8ad8abe
startvals.Rout.save

R Under development (unstable) (2012-07-27 r60013) -- "Unsuffered Consequences"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'contributors()' for more information and
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> library(bbmle)
> 
> ## copied from emdbook
> dbetabinom <- function (x, prob, size, theta, shape1, shape2, log = FALSE) 
+ {
+     if (missing(prob) && !missing(shape1) && !missing(shape2)) {
+         prob = shape1/(shape1 + shape2)
+         theta = shape1 + shape2
+     }
+     v <- lchoose(size, x) - lbeta(theta * (1 - prob), theta * 
+         prob) + lbeta(size - x + theta * (1 - prob), x + theta * 
+         prob)
+     if (log) 
+         v
+     else exp(v)
+ }
> 
> ss <- data.frame(taken=c(0,1,2,5),available=c(5,5,5,5),
+                  dist=rep(1,4))
> 
> SP.bb=mle2(taken~dbetabinom(prob,theta,size=available),
+   start=list(prob=0.5,theta=1),data=ss)
Warning messages:
1: In lbeta(theta * (1 - prob), theta * prob) : NaNs produced
2: In lbeta(size - x + theta * (1 - prob), x + theta * prob) :
  NaNs produced
> SP.bb.dist=mle2(taken~dbetabinom(prob,size=available,theta),
+   parameters=list(prob~dist-1,theta~dist-1),
+   start=as.list(coef(SP.bb)),data=ss)
> 
> SP.bb.dist2=mle2(taken~dbetabinom(prob,size=available,theta),
+   parameters=list(prob~dist - 1,theta~dist - 1),
+   start=as.list(coef(SP.bb)),data=ss)
> 
> 
> proc.time()
   user  system elapsed 
  0.808   1.072   1.743 
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