imp_roundedcont: The function to impute rounded continuous variables

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

For example the income in surveys is often reported rounded by the respondents. See Drechsler, Kiesl and Speidel (2015) for more details.

Usage

imp_roundedcont(y_imp_multi, X_imp_multi, intercept_varname = NULL, M)

Arguments

y_imp_multi	A Vector with the variable to impute.
X_imp_multi	A data.frame with the fixed effects variables.
intercept_varname	A character denoting the name of the intercept variable.
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.

References

Joerg Drechsler, Hans Kiesl, Matthias Speidel (2015): "MI Double Feature: Multiple Imputation to Address Nonresponse and Rounding Errors in Income Questions". Austrian Journal of Statistics Vol. 44, No. 2, http://dx.doi.org/10.17713/ajs.v44i2.77

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