| Makeham {VGAM} | R Documentation |
The Makeham Distribution
Description
Density, cumulative distribution function, quantile function and random generation for the Makeham distribution.
Usage
dmakeham(x, scale = 1, shape, epsilon = 0, log = FALSE)
pmakeham(q, scale = 1, shape, epsilon = 0, lower.tail = TRUE,
log.p = FALSE)
qmakeham(p, scale = 1, shape, epsilon = 0, lower.tail = TRUE,
log.p = FALSE)
rmakeham(n, scale = 1, shape, epsilon = 0)
Arguments
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations.
Same as in |
log |
Logical.
If |
lower.tail, log.p |
|
scale, shape |
positive scale and shape parameters. |
epsilon |
another parameter. Must be non-negative. See below. |
Details
See makeham for details.
The default value of epsilon = 0 corresponds
to the Gompertz distribution.
The function pmakeham uses lambertW.
Value
dmakeham gives the density,
pmakeham gives the cumulative distribution function,
qmakeham gives the quantile function, and
rmakeham generates random deviates.
Author(s)
T. W. Yee and Kai Huang
References
Jodra, P. (2009). A closed-form expression for the quantile function of the Gompertz-Makeham distribution. Mathematics and Computers in Simulation, 79, 3069–3075.
See Also
Examples
probs <- seq(0.01, 0.99, by = 0.01)
Shape <- exp(-1); Scale <- exp(1); eps = Epsilon <- exp(-1)
max(abs(pmakeham(qmakeham(probs, sca = Scale, Shape, eps = Epsilon),
sca = Scale, Shape, eps = Epsilon) - probs)) # Should be 0
## Not run: x <- seq(-0.1, 2.0, by = 0.01);
plot(x, dmakeham(x, sca = Scale, Shape, eps = Epsilon), type = "l",
main = "Blue is density, orange is the CDF",
sub = "Purple lines are the 10,20,...,90 percentiles",
col = "blue", las = 1, ylab = "")
abline(h = 0, col = "blue", lty = 2)
lines(x, pmakeham(x, sca = Scale, Shape, eps = Epsilon), col = "orange")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qmakeham(probs, sca = Scale, Shape, eps = Epsilon)
lines(Q, dmakeham(Q, sca = Scale, Shape, eps = Epsilon),
col = "purple", lty = 3, type = "h")
pmakeham(Q, sca = Scale, Shape, eps = Epsilon) - probs # Should be all 0
abline(h = probs, col = "purple", lty = 3)
## End(Not run)