
Density and random generation for the Borel-Tanner distribution.
dbort(x, Qsize = 1, a = 0.5, log = FALSE)
rbort(n, Qsize = 1, a = 0.5)
vector of quantiles.
number of observations. Must be a positive integer of length 1.
See borel.tanner
.
Logical.
If log = TRUE
then the logarithm of the density is returned.
dbort
gives the density,
rbort
generates random deviates.
Looping is used for rbort
, therefore
values of a
close to 1 will result in long (or infinite!)
computational times.
The default value of a
is subjective.
See borel.tanner
, the VGAM family function
for estimating the parameter,
for the formula of the probability density function and other details.
# NOT RUN {
qsize <- 1; a <- 0.5; x <- qsize:(qsize+10)
plot(x, dbort(x, qsize, a), type = "h", las = 1, col = "blue",
ylab = paste("fbort(qsize=", qsize, ", a=", a, ")"), log = "y",
main = "Borel-Tanner density function")
# }
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