| loglink | R Documentation | 
Computes 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)
theta | 
 Numeric or character. See below for further details.  | 
bvalue | 
 See   | 
inverse, deriv, short, tag | 
 Details at   | 
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.
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.
Thomas W. Yee
McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd ed. London: Chapman & Hall.
Links,
explink,
logitlink,
logclink,
logloglink,
log,
logofflink,
lambertW,
posbernoulli.b.
## Not run:  loglink(seq(-0.2, 0.5, by = 0.1))
 loglink(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin)
negloglink(seq(-0.2, 0.5, by = 0.1))
negloglink(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin) 
## End(Not run)
logneglink(seq(-0.5, -0.2, by = 0.1))
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