Usage
doifun(x, dfun, p1, log=FALSE, ...)
poifun(q, pfun, p1, lower.tail = TRUE, log.p = FALSE, ...)
qoifun(p, qfun, p1, lower.tail = TRUE, log.p = FALSE, ...)
roifun(n, rfun, p1, ...)
ecoifun(x, ecfun, mfun, p1, ...)
moifun(order, mfun, p1, ...)
Arguments
p
vector of probabilities.
n
number of observations. If length(n) > 1
, the length is take to be the number required.
dfun, pfun, qfun, rfun
d, p, q, r functions of the original distribution.
p1
parameter for the probability at x=1
.
ecfun, mfun
exposure curve and moment functions which should have arguments
x, ...
and order, ...
respectively.
order
order of the raw moment.
log, log.p
logical; if TRUE
, probabilities p
are given as log(p).
lower.tail
logical; if TRUE
(default), probabilities are $P[X <= x]$,="" otherwise,="" $p[x=""> x]$.=>
...
further arguments to pass to dfun, pfun, qfun, rfun, ecfun, mfun
.