| expQlink {VGAMextra} | R Documentation |
Link functions for the quantiles of several 1–parameter continuous distributions.
Description
Computes the expQlink transformation, its inverse and
the first two derivatives.
Usage
expQlink(theta, p = stop("Argument 'p' must be entered."),
bvalue = NULL, inverse = FALSE,
deriv = 0, short = TRUE, tag = FALSE)
Arguments
theta |
Numeric or character. This is |
p |
Numeric. A prespecified number between 0 and 1.
The particular |
bvalue, inverse, deriv, short, tag |
See |
Details
This is a link function to model any fixed quantile, say
\xi_p, of the exponential distribution.
It is called the expQlink transformation and is defined as
\log (1 - p)^{-1/\lambda},
where \lambda is positive as in
exponential.
Numerical values of \lambda or p out of range may
result in Inf, -Inf, NA or NaN.
Value
With deriv = 0, the expQlink transformation of
theta for prespecified p when inverse = FALSE.
If inverse = TRUE, then the inverse -log(1 - p)/theta.
For deriv = 1, this link function returns
d eta / d theta when inverse = FALSE.
If inverse = TRUE, then
d theta / d eta as a function of
theta.
Similarly, when deriv = 2, the second derivatives in
terms of theta are returned.
Note
Numerical instability may occur for values theta too close
to zero. Use argument bvalue to replace them before
computing the link.
If theta is character, then arguments inverse and
deriv are ignored. See Links
for further details.
Author(s)
V. Miranda and Thomas W. Yee.
See Also
Examples
## E1. expQlink() and its inverse ##
p <- 0.25 # Modelling the first quartile.
my.theta <- seq(0, 5, by = 0.1)[-1]
my.diff <- my.theta - expQlink(expQlink(my.theta, p = p), p = p, inverse =TRUE)
summary(my.diff) # Zero
## E2. Special values ##
expQlink(theta = c(Inf, -Inf, NA, NaN), p = p)
## E3. Plot of expQlink() for different quantiles ##
plot(expQlink(my.theta, p = p) ~ my.theta,
type = "l", lty = "dotted", col = "blue", lwd = 2,
main = "expQink(p) transformation", xlab = "theta", ylab = "expQLink",
xlim = c(-0.5, 5), ylim = c(-0.5, 5))
abline(h = 0, v = 0, lwd = 2)
lines(my.theta, expQlink(my.theta, p = 0.50), col = "green", lty = "dotted", lwd = 2)
lines(my.theta, expQlink(my.theta, p = 0.75), col = "red", lty = "dotted", lwd = 2)
legend(2, 4, c("p = 0.25", "p = 0.50", "p = 0.75"), col = c("blue", "green", "red"),
lwd = c(2, 2, 2), lty = c("dotted", "dotted", "dotted"))