ebma_folding: Generates data fold to be used for EBMA tuning

In autoMrP: Improving MrP with Ensemble Learning

Generates data fold to be used for EBMA tuning

Description

#' ebma_folding() generates a data fold that will not be used in classifier tuning. It is data that is needed to determine the optimal tolerance for EBMA.

Usage

ebma_folding(data, L2.unit, ebma.size)

Arguments

data	The full survey data. A tibble.
L2.unit	Geographic unit. A character scalar containing the column name of the geographic unit in survey and census at which outcomes should be aggregated.
ebma.size	EBMA fold size. A number in the open unit interval indicating the proportion of respondents to be allocated to the EBMA fold. Default is 1/3.

Value

Returns a list with two elements which are both tibble. List element one is named ebma_fold and contains the tibble used in Ensemble Bayesian Model Averaging Tuning. List element two is named cv_data and contains the tibble used for classifier tuning.

autoMrP documentation built on May 29, 2024, 6:40 a.m.