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## Extra distributions for extracting estimates of the EVZINB and EVINB
nbinomdist2 <- function (size = 10, prob, mu){
if (missing(mu) & !missing(prob)) {
if (!is.numeric(prob) || !is.numeric(size))
stop("Parameters must be a numeric")
if (prob < 0 || prob > 1)
stop("prob must be in [0,1].")
if (size != floor(size))
stop("size must be an integer.")
# x <- list(parameters = list(size = size, prob = prob),
# type = "Negative Binomial", support = list(from = 0,
# to = Inf, by = 1))
}
else {
if (!missing(mu) & missing(prob)) {
if (!is.numeric(mu) || !is.numeric(size))
stop("Parameters must be a numeric")
# if (size != floor(size))
# stop("size must be an integer.")
# x <- list(parameters = list(size = size, mu = mu),
# type = "Negative Binomial", support = list(from = 0,
# to = Inf, by = 1))
}
else {
stop("Either prob or mu has to be set.")
}
}
mistr::new_dist(name = 'Negbin2',
from = 0, to = Inf, by = 1,
class = c("nbinomdist", "discrdist", "standist", "univdist",
"dist"))
}
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