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)