runImputation: runImputation

In calebki/rctmiss: Missing Data Simulation Environment

Description

This function creates a models via multiple imputation and returns model parameters

Usage

runImputation(df, m = 5, method, interaction = FALSE, donors = 3,
  outcomeType)

Arguments

df	The dataset with missing values generated by generateData()
m	Number of imputations.
method	The method of imputing univariate missingness
interaction	Want to add interaction to the imputation model? Defaults to FALSE.
donors	Number of donors if using predictive mean matching. Defaults to 3.
outcomeType	Is the outcome variable binary or continuous?

calebki/rctmiss documentation built on May 3, 2019, 2:56 p.m.