talpha: The t_alpha transformation as a link function for binary...
In mada: Meta-Analysis of Diagnostic Accuracy

talpha

R Documentation

The t_α transformation as a link function for binary GLMs.

Description

A parametric link function, i.e. a family of link functions intended for binary data.

Usage

talpha(alpha, verbose = FALSE,
  splineinv = TRUE, eps = 2 * .Machine$double.eps, maxit = 100)

Arguments

`alpha`	numeric, must be larger than 0 and smaller than 2.
`verbose`	logical, warn if truncation occurs when link function or inverse are used.
`splineinv`	logical, use spline interpolation for calculation of inverse link?
`eps`	if splineinv is `FALSE`, a Newton-Raphson algorithm is run to calculate the inverse. The argument `eps` determines when to terminate this algorithm. Ignored if splineinv is `TRUE`.
`maxit`	maximum number of iterations for Newton-Raphson. Ignored if splineinv is `TRUE`.

Value

An object of class "link-glm", see family and family. Intended for use with glm.

Author(s)

Philipp Doebler <philipp.doebler@googlemail.com>

Examples

canonical <- binomial(link = talpha(1)) # logit-link
talpha_fam <- function(alpha)binomial(link = talpha(alpha)) # talpha family
## A call to glm might look like this: glm(formula, family = talpha_fam(1.5))

mada documentation built on July 16, 2022, 1:05 a.m.