dztbinom gives the probability mass function, pztbinom gives the distribution function, and rztbinom generates random deviates.
Arguments
x, q
integer vector of counts
size
number of trials
prob
success probability in each trial
log, log.p
logical; return log-density if TRUE
lower.tail
logical; if TRUE, probabilities are \(P[X \le x]\), otherwise, \(P[X > x]\).
n
number of random values to return.
Details
This implementation allows for automatic differentiation with RTMB.
By definition, this distribution only has support on the positive integers (1, ..., size).
Any zero-truncated distribution is defined as
$$P(X=x | X>0) = P(X=x) / (1 - P(X=0)),$$
where \(P(X=x)\) is the probability mass function of the corresponding untruncated distribution.