mice.parallel: MICE with weights in parallel (multiple cores of 1 node)
In wdelva/MABC: Approximate Bayesian Computation with MICE

Produces a list with imputations with inverse probability weights.

1 2	mice.parallel(data, m = 1, method = "norm", predictorMatrix, maxit = 5, printFlag = FALSE, n_cores = 1, n_experiments)

`data`	training dataframe
`m`	number of imputations (1)
`method`	string (vector)
`predictorMatrix`	predictorMatrix
`maxit`	How many cycles through chained equations
`printFlag`	Do you want stuff printed
`n_cores`	number of cores available for parallel running of mice
`n_experiments`	number of experiments (typically a multiple of n.experiments)