| loge {VGAM} | R Documentation |
Computes the log transformation, including its inverse and the first two derivatives.
loge(theta, bvalue = NULL, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
negloge(theta, bvalue = NULL, inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
logneg(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 loge computes
log(theta) whereas negloge computes
-log(theta)=log(1/theta).
The function logneg computes
log(-theta), hence is suitable for parameters
that are negative, e.g.,
a trap-shy effect in posbernoulli.b.
The following concerns loge.
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 is 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,
logit,
logc,
loglog,
log,
logoff,
lambertW,
posbernoulli.b.
## Not run: loge(seq(-0.2, 0.5, by = 0.1)) loge(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin) negloge(seq(-0.2, 0.5, by = 0.1)) negloge(seq(-0.2, 0.5, by = 0.1), bvalue = .Machine$double.xmin) ## End(Not run) logneg(seq(-0.5, -0.2, by = 0.1))