summary.shannon: Summary

In EIEntropy: Ecological Inference Applying Entropy

Summary

Description

This function provides a summary of the output obtained with the function ei_gme.

Usage

## S3 method for class 'shannon'
summary(object, ...)

Arguments

object	The output obtained from ei_gme
...	Additional arguments passed to the summary function.

Value

This summary function returns the entropy value and the last iteration in the optimization process. A dataframe with the means of the estimations for each characteristic j with the predictions the probabilities and the error estimated. A dataframe with the lambda estimated for each k.

• Iterations:Indicates the times the objective function and the gradient has been evaluated during the optimization process

• Entropy value:The value of entropy resulting from the optimization.

• mean_estimations: The weighted mean of predictions, p_dual, and the error for each category j of the variable y

• lambda:The estimated lambda values.

EIEntropy documentation built on April 4, 2025, 2:33 a.m.