weib_hazards {success} | R Documentation |
Weibull hazard, cumulative hazard and inverse cumulative hazard
Description
Functions which return the hazard, cumulative
hazard and inverse cumulative hazard at time t for a Weibull distribution
with shape parameter \lambda
, scale parameter \theta
and true hazard ratio \mu
.
Usage
haz_weib(t, lambda, theta, mu = log(1))
chaz_weib(t, lambda, theta, mu = log(1))
inv_chaz_weib(t, lambda, theta, mu = log(1))
Arguments
t |
time of evaluation. |
lambda |
shape parameter |
theta |
scale parameter |
mu |
(optional) true excess hazard rate |
Details
The hazard function of a Weibull distribution is given by:
h(t| \lambda, \theta, \mu) = \frac{\lambda}{\theta} \left(\frac{t}{\theta} \right)^{\lambda -1} e^\mu
The cumulative hazard (with true hazard ratio \mu
) is given by:
H(t| \lambda, \theta, \mu) = \left( \frac{t}{\theta} \right)^{\lambda} e^\mu
The inverse cumulative hazard (with true hazard ratio \mu
) by:
H^{-1}(t| \lambda, \theta, \mu) = \theta \left( \frac{t}{e^\mu} \right)^{1/\lambda}
Value
Value of specified function at time t
.