predictAutoMAR | R Documentation |
this function can be used for autoMAR objects to generate the variable for missing variable not completely at random
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)
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