dot-optimalClass function

Perform Classification Step

.optimalClass(
  moPropen,
  moMain,
  moCont,
  moClass,
  data,
  response,
  txName,
  iter,
  fSet,
  suppress,
  step
)

Arguments

• moPropen: model object(s) for propensity regression
• moMain: model object(s) for main effects of outcome regression or NULL
• moCont: model object(s) for contrasts of outcome regression or NULL
• moClass: model object(s) for classification procedure
• data: data.frame of covariates and treatment history
• response: vector of responses
• txName: character of column header of data containing tx
• iter: maximum number of iterations for outcome regression or NULL
• fSet: function defining subsets or NULL
• suppress: T/F indicating screen printing preference
• step: integer indicating step of algorithm

Returns

an object of class OptimalClass