generateData: generateData
In calebki94/rctmiss: Missing Data Simulation Environment

This function creates a complete dataset and then generates missingness

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generateData(mechanism, outcomeType, propMiss = 0.1, numSamp = 1000,
  beta0 = 1, beta1 = 2, beta2 = 1, xmean = 0, xsd = 1,
  errorsd = 0.1, rr = 5)

`mechanism`	What is the missing data mechanism?
`outcomeType`	Is the outcome variable binary or continuous?
`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 1.
`rr`	Risk ratio. Defaults to 5. Defaults to 5.