| Zibinom {VGAM} | R Documentation |
Zero-Inflated Binomial Distribution
Description
Density, distribution function, quantile function and random
generation for the zero-inflated binomial distribution with
parameter pstr0.
Usage
dzibinom(x, size, prob, pstr0 = 0, log = FALSE)
pzibinom(q, size, prob, pstr0 = 0)
qzibinom(p, size, prob, pstr0 = 0)
rzibinom(n, size, prob, pstr0 = 0)
Arguments
x, q |
vector of quantiles. |
p |
vector of probabilities. |
size |
number of trials. It is the |
prob |
probability of success on each trial. |
n |
Same as in |
log |
Same as |
pstr0 |
Probability of a structural zero
(i.e., ignoring the binomial distribution),
called |
Details
The probability function of Y is 0 with probability
\phi,
and Binomial(size, prob) with
probability 1-\phi. Thus
P(Y=0) =\phi + (1-\phi) P(W=0)
where W is
distributed Binomial(size, prob).
Value
dzibinom gives the density,
pzibinom gives the distribution function,
qzibinom gives the quantile function, and
rzibinom generates random deviates.
Note
The argument pstr0 is recycled to the required length,
and must have values which lie in the interval [0,1].
These functions actually allow for zero-deflation.
That is, the resulting probability of a zero count
is less than the nominal value of the parent
distribution.
See Zipois for more information.
Author(s)
T. W. Yee
See Also
zibinomial,
Gaitdbinom,
Binomial.
Examples
prob <- 0.2; size <- 10; pstr0 <- 0.5
(ii <- dzibinom(0:size, size, prob, pstr0 = pstr0))
max(abs(cumsum(ii) - pzibinom(0:size, size, prob, pstr0 = pstr0))) # 0?
table(rzibinom(100, size, prob, pstr0 = pstr0))
table(qzibinom(runif(100), size, prob, pstr0 = pstr0))
round(dzibinom(0:10, size, prob, pstr0 = pstr0) * 100) # Similar?
## Not run: x <- 0:size
barplot(rbind(dzibinom(x, size, prob, pstr0 = pstr0),
dbinom(x, size, prob)),
beside = TRUE, col = c("blue", "green"), ylab = "Probability",
main = paste0("ZIB(", size, ", ", prob, ", pstr0 = ", pstr0, ")",
" (blue) vs Binomial(", size, ", ", prob, ") (green)"),
names.arg = as.character(x), las = 1, lwd = 2)
## End(Not run)