# According to Rivest and Daigle (2004), a good robust design model
# for this data set is formed of an Mth Chao model for each period.
# This model can be fitted as follows.
### data(rbvole)
### memory.limit(size=2000)
### rd<-robustd.t(rbvole,dfreq=TRUE,vt=rep(3,6),vm="Mth",vh="Chao")
# WARNING : Because the data has 18 capture occasions, fitting this
# model uses a lot of memory. Its runtime is several minutes long.
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