xwfGAM {xwf}R Documentation

Evaluate the GAM

Description

Evaluate the generalized additive model for a set of computed extrema-weighted features

Usage

xwfGAM(wL, wR, y, z = NULL)

Arguments

wL

Matrix with left extrema-weighted features

wR

Matrix with right extrema-weighted features

y

Binary vector with outcomes

z

Optional matrix z with extra, linear predictors

Examples

xwf:::xwfGAM(wL = rep(1:45, 10), wR = rep(1:90, 5), y = c(rep(0:1, 225)))


[Package xwf version 0.2-3 Index]