dBB <- function(y, n, p, phi){
if (sum(y%%1==0)==length(y)){
} else {
stop("The number of success y must be integer")
}
if (max(y)>n){
stop("The number of success y cannot be bigger than the number of trials")
}
if (min(y)<0){
stop("The number of success y must be positive")
}
if (n<=0){
stop("The number of trials n must be positive")
}
if ((n%%1==0)=="FALSE"){
stop("The number of trials n must be an integer")
}
if (length(p)>1){
stop("The probability parameter p cannot be a vector")
}
if (p<0 | p>1){
stop("The probability parameter p must be bounded between 0 and 1")
}
if (phi<0){
stop("The dispersion parameter phi must be positive")
}
if (phi==0){
stop("The dipersion parameter phi cannot be zero, use the binomial distribution instead")
}
tt <- y
tt1 <- gamma(n + 1)/(gamma(tt + 1) * gamma(
n - tt + 1))
tt2 <- gamma((p/phi) + tt)/gamma(p/phi)
tt3 <- gamma(((1 - p)/phi) + n - tt)/
gamma((1 - p)/phi)
tt4 <- gamma(1/phi)/gamma((1/phi) + n)
tt1 * tt2 * tt3*tt4
}
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