newEARL function

Complete an EARL Analysis

.newEARL(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  lambdas,
  cvFolds,
  surrogate,
  iter,
  guess,
  kernel,
  fSet,
  suppress,
  ...
)

Arguments

• moPropen: modelObj for propensity modeling
• moMain: modelObj for main effects of outcome model
• moCont: modelObj for contrasts of outcome model
• data: data.frame of covariates
• response: Vector of responses
• txName: Tx variable column header in data
• lambdas: Tuning parameter(s)
• cvFolds: Number of cross-validation folds
• surrogate: Surrogate object
• iter: Maximum iterations for outcome regression
• guess: optional numeric vector providing starting values for optimization methods
• kernel: Kernel object or SubsetList
• fSet: NULL or function defining subset rules
• suppress: T/F indicating if prints to screen are executed
• ...: Additional inputs for optimization

Returns

An EARL object