Hello,
I like to fit data against a negative binominal distribution
x2<-c(rep(10,14),rep(9,8),rep(8,13),rep(7,11),rep(6,6),rep(5,18),rep(4,7),re
p(3,21),rep(2,33),rep(1,55),rep(0,225))
f2<-fitdist(x2,"nbinom",method="mle")
plot(f2)
summary(f2)
gofstat(f2)
I receive the following result:
Fitting of the distribution ' nbinom ' by maximum likelihood
Parameters :
estimate Std. Error
size 0.3397148 0.03775577
mu 1.7787630 0.16429774
Loglikelihood: -701.0615 AIC: 1406.123 BIC: 1414.16
------
I am wondering how to translate the size and the mu parameter into the usual
number of successes (n) and the contiuous probability (p) . To me it is not
clear what these mu and size parameter declares.
Help is appreciated
Best
Alex
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
