logofflink | R Documentation |
Computes 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)
theta |
Numeric or character. See below for further details. |
offset |
Offset value.
See |
inverse , deriv , short , tag |
Details at |
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.
The default means this function is identical
to loglink
.
Numerical instability may occur when theta
is
close to -offset
.
Thomas W. Yee
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman & Hall.
Links
,
loglink
,
extbetabinomial
.
## 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)
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