VGAM (version 0.8-2)

loge: Log link function

Description

Computes the log transformation, including its inverse and the first two derivatives.

Usage

loge(theta, earg = list(), inverse = FALSE, deriv = 0,
     short = TRUE, tag = FALSE)
nloge(theta, earg = list(), inverse = FALSE, deriv = 0,
      short = TRUE, tag = FALSE)

Arguments

theta

Numeric or character. See below for further details.

earg

Optional list. Extra argument for passing in additional information. Values of theta which are less than or equal to 0 can be replaced by the bvalue component of the list earg before computing the link function

inverse

Logical. If TRUE the inverse function is computed.

deriv

Order of the derivative. Integer with value 0, 1 or 2.

short

Used for labelling the blurb slot of a vglmff-class object.

tag

Used for labelling the linear/additive predictor in the initialize slot of a vglmff-class object. Contains a little more information if TRUE.

Value

• 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 $e$.

Details

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 $-\log(\theta)=\log(1/\theta)$.

References

McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models, 2nd ed. London: Chapman & Hall.

See Also

Links, logit, logc, loglog, log, logoff, lambertW.

Examples

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))