| loge {VGAM} | R Documentation |
Computes the log transformation, including its inverse and the first two derivatives.
loge(theta, earg = list(), inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
nloge(theta, earg = list(), inverse = FALSE, deriv = 0,
short = TRUE, tag = FALSE)
theta |
Numeric or character. See below for further details. |
earg |
Optional list. Extra argument for passing in additional information.
Values of |
inverse |
Logical. If |
deriv |
Order of the derivative. Integer with value 0, 1 or 2. |
short |
Used for labelling the |
tag |
Used for labelling the linear/additive predictor in the
|
The log link function is very commonly used for parameters that
are positive.
Numerical values of theta close to 0 or out of range
result in
Inf, -Inf, NA or NaN.
The arguments short and tag are used only if
theta is character.
The function loge computes
log(theta) whereas nloge computes
-log(theta)=log(1/theta).
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 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.
This function is called loge to avoid conflict with the
log function.
Numerical instability may occur when theta is close to 0 unless
earg 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.
## Not run: loge(seq(-0.2, 0.5, by = 0.1)) loge(seq(-0.2, 0.5, by = 0.1), earg = list(bvalue = .Machine$double.xmin)) nloge(seq(-0.2, 0.5, by = 0.1)) nloge(seq(-0.2, 0.5, by = 0.1), earg = list(bvalue = .Machine$double.xmin)) ## End(Not run)