flexOR: flexOR: Flexible Odds Ratio Computation for GAM Models

In flexOR: Flexible Odds Ratio Curves

flexOR: Flexible Odds Ratio Computation for GAM Models

Description

Computes odds ratios for predictors in GAM models. It provides flexibility in specifying predictors using either a data frame, a response variable, and a formula or a pre-fitted GAM model. The function is useful for understanding the impact of predictors on binary outcomes in GAMs.

Usage

flexOR(data, response = NULL, formula = NULL)

Arguments

data	A data frame containing the variables.
response	The response variable as a character string.
formula	A formula specifying the model.

Details

It accepts two different ways of specifying the model: by providing the data frame and response variable or by specifying the formula.

Value

A list containing the following components:

• dataset: The dataset used for the analysis.

• formula: The formula used in the GAM model.

• gamfit: The fitted GAM model.

• response: The response variable used in the analysis.

Examples

library(gam);

# Load dataset
data(PimaIndiansDiabetes2, package="mlbench");

# Calculate odds ratios using flexOR
df_result <- flexOR(data = PimaIndiansDiabetes2, response = "diabetes", 
formula=~ s(age) + s(mass) + s(pedigree) + pressure + glucose)
print(df_result)

flexOR documentation built on June 24, 2024, 5:26 p.m.