predict.optimSplit_dichotom: Regression Models with Optimal Dichotomizing Predictors

In Qindex: Continuous and Dichotomized Index Predictors Based on Distribution Quantiles

Regression Models with Optimal Dichotomizing Predictors

Description

Regression models with optimal dichotomizing predictor(s), used either as boolean or continuous predictor(s).

Usage

## S3 method for class 'optimSplit_dichotom'
predict(
  object,
  formula = attr(object, which = "formula", exact = TRUE),
  newdata = attr(object, which = "data", exact = TRUE),
  boolean = TRUE,
  ...
)

Arguments

object	an optimSplit_dichotom object
formula	(optional) formula to specify the response in test data. If missing, the model formula of training data is used
newdata	(optional) test data.frame, candidate numeric predictors x's must have the same name and dimension as the training data. If missing, the training data is used
boolean	logical scalar, whether to use the dichotomized predictor (default, TRUE), or the continuous predictor (FALSE)
...	additional parameters, currently not in use

Value

Function predict.optimSplit_dichotom returns a list of regression models, coxph model for Surv response, glm for logical response, and lm model for numeric response.

Examples

# see ?`Qindex-package`

Qindex documentation built on April 4, 2025, 2:14 a.m.