geometricffMlink | R Documentation |
Computes the geometricffMlink
transformation, including its inverse
and the first two derivatives.
geometricffMlink(theta, bvalue = NULL, inverse = FALSE,
deriv = 0, short = TRUE, tag = FALSE)
theta |
Numeric or character. See below for further details. |
bvalue, inverse, deriv, short, tag |
Details at |
This is a natural link function to model the mean of the (discret)
geometric distribution, geometric
,
defined as the logarithmm of its mean, i.e.,
\eta = -\log \frac{p}{1 - p} = -{\tt{logit}}(p).
Here, p
is the probability of succes, as in
geometric
.
While this link function can be used to model any parameter lying in
(0, 1)
, it is particularly useful for event-rate geometric data
where the mean can be written in terms of some rate of events,
say \lambda = \lambda(\mathbf{x})
, as
\mu = \lambda(\mathbf{x}) t,
and the time t
(as \log t
) can be easily
incorporated in the analysis as an offset.
Under this link function the domain set for p
is (0, 1)
. Hence, values of \rho
too
close to the extremes, or out of range will result
in Inf
, -Inf
, NA
or NaN
.
Use argument bvalue
to adequately replace them before
computing the link function.
If theta
is a character, arguments inverse
and
deriv
are disregarded.
For deriv = 0
, the geometricffMlink
transformation of
theta
when inverse = FALSE
. When
inverse = TRUE
then theta
becomes \eta
, and
exp(-theta) / (exp(-theta) - 1)
is returned.
For deriv = 1
, d eta
/ d theta
,
if inverse = FALSE
, else
the reciprocal d theta
/ d eta
as a function of theta
.
For deriv = 2
the second order derivatives
are correspondingly returned.
Numerical instability may occur if covariates are used leading to
values of p
out of range. Try to overcome this by using
argument bvalue
.
This function may return Inf
of -Inf
for values of
p
too close to 0
and 1
respectively.
V. Miranda and T. W. Yee
geometric
,
Links
,
logitlink
,
logffMlink
.
### Example 1 ###
my.probs <- ppoints(100)
geol.inv <-
geometricffMlink(theta = geometricffMlink(theta = my.probs), # the inverse
inverse = TRUE) - my.probs
summary(geol.inv) ## zero
### Example 2. Special values of 'prob' ###
my.probs <- c(-Inf, -2, -1, 0, 0.25, 0.75, 1.0, 5, Inf, NaN, NA)
rbind(probs = my.probs,
geoffMlink = geometricffMlink(theta = my.probs),
inv.geoffl = geometricffMlink(theta = my.probs, inverse = TRUE))
### Example 3 Some probability link functions ###
my.probs <- ppoints(100)
par(lwd = 2)
plot(my.probs, logitlink(my.probs), xlim = c(-0.1, 1.1), ylim = c(-5, 8),
type = "l", col = "limegreen",
ylab = "transformation", las = 1, main = "Some probability link functions")
lines(my.probs, geometricffMlink(my.probs), col = "gray50")
lines(my.probs, logffMlink(my.probs), col = "blue")
lines(my.probs, probitlink(my.probs), col = "purple")
lines(my.probs, clogloglink(my.probs), col = "chocolate")
lines(my.probs, cauchitlink(my.probs), col = "tan")
abline(v = c(0.5, 1), lty = "dashed")
abline(v = 0, h = 0, lty = "dashed")
legend(0.1, 8,
c("geometricffMlink", "logffMlink","logitlink", "probitlink",
"clogloglink", "cauchitlink"),
col = c("gray50", "blue", "limegreen", "purple", "chocolate", "tan"),
lwd = 1, cex = 0.5)
par(lwd = 1)
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