The Borel-Tanner Distribution
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)
x |
vector of quantiles. |
n |
number of observations. Must be a positive integer of length 1. |
Qsize, a |
See |
log |
Logical.
If |
See borel.tanner, the VGAM family function
for estimating the parameter,
for the formula of the probability density function and other details.
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.
T. W. Yee
## 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")
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.