get_logiModel: Fit Logistic Regression Model

In iPRISM: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

Fit Logistic Regression Model

Description

This function fits a logistic regression model to the given data.

Usage

get_logiModel(data.sig, pred.value, levels = c("R", "N"), step = TRUE)

Arguments

data.sig	A data frame where each row is a sample and each column is a pathway.
pred.value	A numeric vector representing the response variable.
levels	A character vector specifying the levels of the response variable (default: c("R", "N")).
step	Logical. If TRUE, perform stepwise model selection (default: TRUE).

Details

The function converts the response variable to a factor with specified levels and fits a logistic regression model using the glm function.

Value

A fitted logistic regression model.

Examples

data(data_sig, package = "iPRISM")

b <- get_logiModel(data.sig = data_sig, pred.value = pred_value, step = TRUE)
summary(b)

iPRISM documentation built on Sept. 11, 2024, 7:14 p.m.