| logofflink {VGAM} | R Documentation |
Log Link Function with an Offset
Description
Computes the log transformation with an offset, including its inverse and the first two derivatives.
Usage
logofflink(theta, offset = 0, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
log1plink(theta, offset = 0, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
Arguments
theta |
Numeric or character. See below for further details. |
offset |
Offset value.
See |
inverse, deriv, short, tag |
Details at |
Details
The log-offset link function is very commonly used
for parameters that
are greater than a certain value.
In particular, it is defined by
log(theta + offset) where
offset is the offset value. For example,
if offset = 0.5 then the value
of theta is restricted
to be greater than -0.5.
Numerical values of theta close
to -offset or out of range
result in
Inf, -Inf, NA or NaN.
The offset is implicitly 1 in log1plink.
It is equivalent to logofflink(offset = 1)
but is more accurate if abs(theta) is tiny.
It may be used for lrho in
extbetabinomial provided
an offset log(size - 1)
for \eta_2
is included.
Value
For deriv = 0, the log of theta+offset,
i.e.,
log(theta+offset) when inverse = FALSE,
and if inverse = TRUE then
exp(theta)-offset.
For deriv = 1, then the function returns
d theta / d eta as
a function of theta
if inverse = FALSE,
else if inverse = TRUE then it returns
the reciprocal.
Here, all logarithms are natural logarithms, i.e., to base e.
Note
The default means this function is identical
to loglink.
Numerical instability may occur when theta is
close to -offset.
Author(s)
Thomas W. Yee
References
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman & Hall.
See Also
Links,
loglink,
extbetabinomial.
Examples
## Not run:
logofflink(seq(-0.2, 0.5, by = 0.1))
logofflink(seq(-0.2, 0.5, by = 0.1), offset = 0.5)
log(seq(-0.2, 0.5, by = 0.1) + 0.5)
## End(Not run)