predict.xplus: Predict from an xplus model

In xplus: Positive and Unlabeled Learning from Unbalanced Cases and Sparse Structures

Predict from an xplus model

Description

Predict from an xplus model

Usage

## S3 method for class 'xplus'
predict(object, newx = NULL, s = "lambda.min", type = "response", ...)

Arguments

object	An xplus object.
newx	Optional finite numeric feature matrix; defaults to training data. Named training features must match and are reordered automatically.
s	Exact penalty name ("lambda.min", "lambda.1se") or finite nonnegative numeric lambda vector. Cache-only objects support only "lambda.min".
type	Prediction type: "response", "link", or "class".
...	Additional arguments are not supported and cause an error.

Value

Probabilities (type = "response") or log-odds (type = "link"); cached probabilities of 0 and 1 give infinite log-odds. Classes use a factor with fixed levels "0", "1" for one lambda, or a dimension-preserving 0/1 matrix for multiple lambdas.

References

Zhou et al. (2022). doi:10.1371/journal.pcbi.1009956

See Also

xplus(), print.xplus()

Examples

set.seed(1)
x <- matrix(rnorm(100 * 5), ncol = 5)
y <- c(rep(1, 20), rep(0, 80))
fit <- xplus(x, y, max_iter = 5)
predict(fit, newx = x, type = "response")
predict(fit, newx = x, type = "link")

xplus documentation built on Sept. 26, 2026, 5:07 p.m.