Description Usage Arguments Value References
computes a generalized (weighted) functional ANOVA decomposition of a prediction function, giving the best additive decomposition of the prediction function in terms of squared error.
1 2 3 |
data |
a |
vars |
a |
n |
a |
model |
the first argument to |
predict.fun |
a |
weight.fun |
a |
a data.table
with columns for a grid of points of the vars
, a (set of) column(s) that correspond to the estimated effect of those features/covariates on the prediction function, and a column effect
which indicates which subset of the covariates/features each estimate belongs to.
Giles Hooker. Generalized Functional ANOVA Diagnostics for High Dimensional Functions of Dependent Variables, Journal of Computational and Graphical Statistics, Vol. 16, No. 3 (2007), pp. 709-732.
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