predictAutoMAR: Extract predictions and MAR columns from autoMAR objects
In daya6489/DriveML: Self-Drive Machine Learning Projects

Description Usage Arguments Value Examples

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

1	predictAutoMAR(x, data, mar_var = NULL)

`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

flagged variables for missing not completely at random variable

## 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)