nonnegative,
and positive-continuous variable types in mi data objectmi.preprocess(data, info)
mi.postprocess(mi.data, info)mi.info.mi.completeddata.frame or a list of dataframemi.info matrixmi.proprocess will transform the nonnegative and positive-continuous
variable types. If the variable is of nonnegative type, the function transforms the variable
into two variables: an indicator indicates whether the value is postive or not and
a transformed variable that takes on all positive value and is transformed either by taking
a log; 0 and NA will be treated as missing for such a variable. If the variable
is of positive-continuous type, it will be transformed by taking a log.
mi.postprocess will transform the imputed dataset back to its original form.
The imputed dataset is obtained from mi.completed function.mi.completed