compute_aic {quollr}

Compute the Akaike Information Criterion (AIC) for a given model.

Description

Compute the Akaike Information Criterion (AIC) for a given model.

Usage

compute_aic(p, mse, num_bins, num_obs)

Arguments

p

Number of dimensions of the data set.

mse

Mean squared error (MSE) of the model.

num_bins

Total number of bins without empty bins used in the model.

num_obs

Total number of observations in the training or test set.

Value

The AIC value for the specified model.

Examples

# Example usage of compute_aic function
p <- 5
mse <- 1500
num_bins <- 10
num_obs <- 100
aic_value <- compute_aic(p, mse, num_bins, num_obs)
cat("AIC Value:", aic_value, "\n")