I am running the below code, i.e to save the AIC values for negative binomial distribution in a vector.
max_nbinom_aic <-data.frame(NBINOM_AIC=numeric(0))
for(i in 1:336) {
a <- max_samples[,i]
d <- fitdist(a,distr ="nbinom")
max_nbinom_aic <- rbind(max_nbinom_aic,d$aic)
}
I am getting the following error message:
Error in fitdist(a, distr = "nbinom") : the function mle failed to estimate the parameters, with the error code 100 In addition: Warning messages: 1: In sqrt(diag(varcovar)) : NaNs produced 2: In sqrt(1/diag(V)) : NaNs produced 3: In cov2cor(varcovar) : diag(.) had 0 or NA entries; non-finite result is doubtful
Also the output only contains 62 values, whereas I am expecting 336 values as I have 336 sets of distribution.