imp_semicont_single: The function for hierarchical imputation of semicontinous...

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

The function is called by the wrapper. We consider data to be "semicontinuous" when more than 5% of the (non categorical) observations.
For example in surveys a certain portion of people, when asked for their income, report "0", which clearly violates the assumption of income to be (log-) normally distributed.

Usage

imp_semicont_single(y_imp_multi, X_imp_multi, heap = 0, M = 10)

Arguments

y_imp_multi	A Vector with the variable to impute.
X_imp_multi	A data.frame with the fixed effects variables.
heap	A scalar saying to which value the data might be heaped.
M	An integer defining the number of imputations that should be made.

Value

A n x M matrix. Each column is one of M imputed y-variables.

matthiasspeidel/hmi documentation built on Aug. 18, 2020, 4:37 p.m.