logofflink.RdComputes the log transformation with an offset, including its inverse and the first two derivatives.
logofflink(theta, offset = 0, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
log1plink(theta, offset = 0, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)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.
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.
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman & Hall.
The default means this function is identical
to loglink.
Numerical instability may occur when theta is
close to -offset.