runSimulation: #' runSimulation
In calebki94/rctmiss: Missing Data Simulation Environment

This function runs a simulations fitting models using various methods of handling missing data. Passes back an array of model parameter values.

1
2
3

runSimulation(numSim = 1000, m = 5, mechanism = "mcar", propMiss = 0.1,
  numSamp = 1000, beta0 = 1, beta1 = 2, beta2 = 1, xmean = 0,
  xsd = 1, errorsd = 0.5, rr = 5, outcomeType)

`numSim`	Number of simulations. Defaults to 1000.
`m`	Number of imputations. Defaults to 5.
`mechanism`	What is the missing data mechanism? Defaults to mcar.
`propMiss`	Expected proportion of missingness. Defaults to 0.1.
`numSamp`	Number of observations in the sample. Defaults to 1000.
`beta0`	Intercept. Defaults to 1.
`beta1`	Treatment effect. Defaults to 2.
`beta2`	Slope of auxiliary variable. Defaults to 1.
`xmean`	Mean of auxiliary variable. Defaults to 0.
`xsd`	Standard deviation of auxiliary variable. Defaults to 1.
`errorsd`	Standard deviation of error term. Defaults to 0.5.
`rr`	Risk ratio. Defaults to 5. Defaults to 5.
`outcomeType`	Is the outcome variable binary or continuous?