DelayedWeibull {incubate} | R Documentation |
Delayed Weibull Distribution
Description
Density, distribution function, quantile function and random generation for the delayed Weibull distribution with parameters as in the Weibull distribution functions in R's stats-package, namely:
-
delay
-
shape
-
scale
(inverse of rate)
Usage
dweib_delayed(x, delay, shape, scale = 1, ...)
pweib_delayed(q, delay, shape, scale = 1, ...)
qweib_delayed(p, delay, shape, scale = 1, ...)
rweib_delayed(n, delay, shape, scale = 1)
Arguments
x |
A numeric vector of values for which to get the density. |
delay |
numeric. The delay, must be non-negative. |
shape |
numeric. Shape parameter, must be positive. |
scale |
numeric. Scale parameter (inverse of rate), must be positive. |
... |
further arguments are passed on to the underlying non-delayed function, e.g., |
q |
A numeric vector of quantile values. |
p |
A numeric vector of probabilities. |
n |
integer. Number of random observations requested. |
Details
Additional arguments are forwarded via ...
to the underlying functions of the exponential distribution in the stats-package.
The numerical arguments other than n
are recycled to the length of the result. Only the first elements of the logical arguments are used.
Value
dweib_delayed
gives the density, pweib_delayed
gives the distribution function, qweib_delayed
gives the quantile function,
and rweib_delayed
generates a pseudo-random sample from the delayed Weibull distribution.
The length of the result is determined by n
for rweib_delayed
, and is the maximum of the lengths of the numerical arguments for the other functions.