MAR.df: Assign NAs to columns in a dataframe at random
In jknowles/datasynthR: Generate synthetic data with known properties, on demand.

Description Usage Arguments Value Note Author(s)

Create a dataframe with data missing at random by generating probability models of missing data from observable characteristics and then eliminating data based on those results.

1	MAR.df(df, vars, probs)

`df`	a dataframe that missing data should be supplied to
`vars`	A list of variable names to be used in generating the probability models for the missing data
`probs`	A single value from 0 to 1 representing the proportion of each column that should be replaced with NAs, or a list of such values length of `vars`