| summary.kl {EIEntropy} | R Documentation |
Summary
Description
This function provides a summary of the output obtained with the function ei_gce.
Usage
## S3 method for class 'kl'
summary(object, ...)
Arguments
object |
The output obtained from ei_gce |
... |
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 predictions, p_dual, and the error for each category j of the variable y -
lambda:The estimated lambda values.