matthiasspeidel/hmi
Hierarchical Multiple Imputation

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imp_count_single: The function for imputation of binary variables.

imp_count_single: The function for imputation of binary variables.
In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description Usage Arguments Value

View source: R/hmi_imp_count_single_2018-04-17.R View source: R/hmi_imp_count_single_2018-02-23.R View source: R/hmi_imp_count_single_2018-02-07.R View source: R/hmi_imp_count_single_2017-10-12.R View source: R/hmi_imp_count_single_2017-04-11.R View source: R/hmi_imp_count_single_2017-01-05.R View source: R/hmi_imp_count_single_2017-01-04.R View source: R/hmi_imp_count_single_2016-12-23.R View source: R/hmi_imp_count_single.R

Description

The function is called by the wrapper.

Usage

1
imp_count_single(y_imp_multi, X_imp_multi)

Arguments

y_imp_multi

A Vector with the variable to impute.

X_imp_multi

A data.frame with the fixed effects variables.

Value

A n x 1 matrix. The column is one set of imputed y-variables.


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

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