[R] fit.dist gnlm question, NaN and Inf results
Richard and Barbara Males
rbmales at gmail.com
Sat Jul 26 00:43:09 CEST 2008
I am attempting to fit discrete data (daily counts of arrivals of
recreational vessels at locks on a river) using the fit.dist package.
Some distributions return values of NaN and Inf for certain
situations, an example with Inf values is shown below.
# of vessels: 1 2 3 4 5
6 7 8 9 10 11
# of days with # of vessels: 35 20 10 5 6 3 1 3
1 0 1 (stored in rTemp$counts)
Can anyone tell me under what conditions I will get these Inf/NaN?
Thanks in advance
Richard Males
Cincinnati, Ohio, USA
my function call is as follows, for each of the distributions.
fit.dist(c(1:length(rTemp$counts)),rTemp$counts,"binomial")
output from fit.dist for above input situation
binomial distribution, n = 85
mean variance nu.hat
2.6352941 4.6552249 0.2635294
-log likelihood AIC
Inf Inf
beta binomial distribution, n = 85
mean variance nu.hat rho.hat
2.6352941 4.6552249 0.2947923 0.1403921
-log likelihood AIC
Inf Inf
Poisson distribution, n = 85
mean variance mu.hat
2.635294 4.655225 2.635294
-log likelihood AIC
28.86352 29.86352
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