gqcStruct: General Quadratic Classifier structure.

In grt: General Recognition Theory

General Quadratic Classifier structure.

Description

A named list of model parameters that specify a quadratic decision bound, containing pnoise, cnoise, coeffs, and bias.

Usage

gqcStruct(pnoise, cnoise, coeffs, bias)

Arguments

pnoise	a positive non-zero numeric.
cnoise	a positive non-zero numeric.
coeffs	a vector. The length(coeffs) should be equal to sum(1:(dim+1)) - 1 where dim is the number of the model's dimension
bias	numeric.

Value

object of class gqcStruct, i.e., a named list containing pnoise, cnoise, coeffs, and bias.

See Also

gqc, logLik.gqcStruct

Examples

params <- gqcStruct(pnoise=10, cnoise=100, coeffs=c(1,2,3,4,5), bias=6)

grt documentation built on Aug. 24, 2026, 5:07 p.m.