xwfGAM: Evaluate the GAM
In xwf: Extrema-Weighted Feature Extraction
xwfGAM 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)))
xwf documentation built on July 26, 2026, 9:07 a.m.
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| xwfGAM | 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)))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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