predict.logreg2: Predict Method for Logic Regression Objects (Internal)

In LogicForest: Logic Forest

Predict Method for Logic Regression Objects (Internal)

Description

INTERNAL FUNCTION: evaluates the importance of predictor combinations and generates predictions from a fitted logic regression object.

Usage

## S3 method for class 'logreg2'
predict(object, msz, ntr, newbin, newsep, newcens, ...)

Arguments

object	An object of class "logreg".
msz	Integer. Maximum number of leaves in a tree.
ntr	Integer. Number of trees in object.
newbin	Matrix containing binary predictor values for new data points.
newsep	Integer. Number of separate predictors in newbin.
newcens	Vector. Censoring indicator for survival data (if applicable).
...	Additional arguments (currently ignored).

Details

This function is typically called internally by other functions and is not intended for direct use by package users.

Depending on the model type (object$type), this function produces:

• Classification predictions (0/1) if type == "classification".

• Predicted probabilities if type == "logistic".

• Survival model predictions if type == "proportional.hazards".

Value

A numeric vector or matrix of predictions.

LogicForest documentation built on Feb. 14, 2026, 1:08 a.m.