Density, distribution function, hazards, quantile function and random generation for the Gompertz distribution with unrestricted shape.
dgompertz(x, shape, rate = 1, log = FALSE)pgompertz(q, shape, rate = 1, lower.tail = TRUE, log.p = FALSE)
qgompertz(p, shape, rate = 1, lower.tail = TRUE, log.p = FALSE)
rgompertz(n, shape = 1, rate = 1)
hgompertz(x, shape, rate = 1, log = FALSE)
Hgompertz(x, shape, rate = 1, log = FALSE)
dgompertz
gives the density, pgompertz
gives the
distribution function, qgompertz
gives the quantile function,
hgompertz
gives the hazard function, Hgompertz
gives the
cumulative hazard function, and rgompertz
generates random deviates.
vector of quantiles.
vector of shape and rate parameters.
logical; if TRUE, probabilities p are given as log(p).
logical; if TRUE (default), probabilities are \(P(X \le x)\), otherwise, \(P(X > x)\).
vector of probabilities.
number of observations. If length(n) > 1
, the length is
taken to be the number required.
Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
The Gompertz distribution with shape
parameter \(a\) and
rate
parameter \(b\) has probability density function
$$f(x | a, b) = be^{ax}\exp(-b/a (e^{ax} - 1))$$
and hazard
$$h(x | a, b) = b e^{ax}$$
The hazard is increasing for shape \(a>0\) and decreasing for \(a<0\). For \(a=0\) the Gompertz is equivalent to the exponential distribution with constant hazard and rate \(b\).
The probability distribution function is $$F(x | a, b) = 1 - \exp(-b/a (e^{ax} - 1))$$
Thus if \(a\) is negative, letting \(x\) tend to infinity shows that
there is a non-zero probability \(\exp(b/a)\) of living
forever. On these occasions qgompertz
and rgompertz
will
return Inf
.
Stata Press (2007) Stata release 10 manual: Survival analysis and epidemiological tables.