imp_cont_single: The function for imputation of continuous variables.

In hmi: Hierarchical Multiple Imputation

Description

The function is called by the wrapper (hmi). It uses mice with the method "norm".

Usage

imp_cont_single(y_imp, X_imp, pvalue = 0.2, k = Inf)

Arguments

y_imp	A vector with the variable to impute.
X_imp	A data.frame with the fixed effects variables.
pvalue	A numeric between 0 and 1 denoting the threshold of p-values a variable in the imputation model should not exceed. If they do, they are excluded from the imputation model.
k	An integer defining the allowed maximum of levels in a factor covariate.

Value

A n x 1 data.frame with the original and imputed values.

hmi documentation built on Oct. 23, 2020, 7:31 p.m.