loglink.RdComputes the log transformation, including its inverse and the first two derivatives.
loglink(theta, bvalue = NULL, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
negloglink(theta, bvalue = NULL, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
logneglink(theta, bvalue = NULL, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)The log link function is very commonly used for parameters that
are positive.
Here, all logarithms are natural logarithms, i.e., to base
\(e\). Numerical values of theta close to 0 or out of
range result in Inf, -Inf, NA or NaN.
The function loglink computes
\(\log(\theta)\) whereas negloglink computes
\(-\log(\theta)=\log(1/\theta)\).
The function logneglink computes
\(\log(-\theta)\), hence is suitable for parameters
that are negative, e.g.,
a trap-shy effect in posbernoulli.b.
The following concerns loglink.
For deriv = 0, the log of theta, i.e.,
log(theta) when inverse = FALSE, and if
inverse = TRUE then exp(theta).
For deriv = 1, then the function returns
d eta / d theta as a function of
theta if inverse = FALSE, else if
inverse = TRUE then it returns the reciprocal.
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman & Hall.
This function was called loge to avoid conflict with the
log function.
Numerical instability may occur when theta is close to
0 unless bvalue is used.
Links,
explink,
logitlink,
logclink,
logloglink,
log,
logofflink,
lambertW,
posbernoulli.b.
if (FALSE) loglink(seq(-0.2, 0.5, by = 0.1))
loglink(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin)
#> [1] -708.3964185 -708.3964185 -708.3964185 -2.3025851 -1.6094379
#> [6] -1.2039728 -0.9162907 -0.6931472
negloglink(seq(-0.2, 0.5, by = 0.1))
#> [1] NaN NaN Inf 2.3025851 1.6094379 1.2039728 0.9162907
#> [8] 0.6931472
negloglink(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin) # \dontrun{}
#> [1] 708.3964185 708.3964185 708.3964185 2.3025851 1.6094379 1.2039728
#> [7] 0.9162907 0.6931472
logneglink(seq(-0.5, -0.2, by = 0.1))
#> [1] -0.6931472 -0.9162907 -1.2039728 -1.6094379