Make predictions from a fitted "abess" object.
An "abess" project.
New data used for prediction. If omitted, the fitted linear predictors are used.
type = "link" gives the linear predictors for "binomial",
"poisson" or "cox" models; for "gaussian" models it gives the
fitted values. type = "response" gives the fitted probabilities for
"binomial" and "ordinal", fitted mean for "poisson" and the fitted relative-risk for
"cox"; for "gaussian", type = "response" is equivalent to type = "link".
An integer value specifies
the model size fitted at given support.size.
If support.size = NULL, then the model with
the best tuning value would be returned.
Default: support.size = NULL.
Additional arguments affecting the predictions produced.
The object returned depends on the types of family.
print.abess,
predict.abess,
coef.abess,
extract.abess,
plot.abess,
deviance.abess.