predict.abess: Make predictions from a fitted "'abess'" object.

In abess: Fast Best Subset Selection

Make predictions from a fitted "abess" object.

Description

Make predictions from a fitted "abess" object.

Usage

## S3 method for class 'abess'
predict(object, newx, type = c("link", "response"), support.size = NULL, ...)

Arguments

object	An "abess" project.
newx	New data used for prediction. If omitted, the fitted linear predictors are used.
type	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".
support.size	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.

Value

The object returned depends on the types of family.

See Also

print.abess, predict.abess, coef.abess, extract.abess, plot.abess, deviance.abess.

abess documentation built on April 11, 2025, 6:09 p.m.