predictAutoMAR: Extract predictions and MAR columns from autoMAR objects

In DriveML: Self-Drive Machine Learning Projects

Extract predictions and MAR columns from autoMAR objects

Description

this function can be used for autoMAR objects to generate the variable for missing variable not completely at random

Usage

predictAutoMAR(x, data, mar_var = NULL)

Arguments

x	[autoMAR object | Required] autoMAR object for which prediction is desired
data	[data.frame | Required] prediction data set to prepare the autoMAR outcomes
mar_var	[character list | Optional] list of predefined mar variables

Value

flagged variables for missing not completely at random variable

Examples

## Missing at random features
train <- heart[1 : 199, ]
test <- heart[200 : 300, ]
marobj <- autoMAR (train, aucv = 0.9, strataname = NULL, stratasize = NULL, mar_method = "glm")

## print summary in console
testobj <- predictAutoMAR(marobj, test)

DriveML documentation built on Dec. 2, 2022, 5:14 p.m.