I just discovered the fitdistrplus
package, and I have it up and running with a Poisson distribution, etc.. but I get stuck when trying to use a binomial:
set.seed(20)
#Binomial distributed, mean score of 2
scorebinom <- rbinom(n=40,size=8,prob=.25)
fitBinom=fitdist(data=scorebinom, dist="binom", start=list(size=8, prob=mean(scorebinom)/8))
I get the error:
Error in fitdist(data = scorebinom, dist = "binom", start = list(size = 8, :
the function mle failed to estimate the parameters,
with the error code 100
In addition: There were 50 or more warnings (use warnings() to see the first 50)
I see a lot of documentation from this package about the negative binomial distribution, but not much about the binomial. This function does appear to support this distribution (though fitdistr
in MASS
does not).
Any thoughts?
Won't you always know the number of trials (i.e., the size parameter)? If so, then try
fitBinom=fitdist(data=scorebinom, dist="binom", fix.arg=list(size=8), start=list(prob=0.3))
to estimate p and its error.
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