stand

<p>A n times p data.frame with p fixed (or random) effects variables.</p>

<p>Function to standardize variables that are numeric (continuous and count variables) but no rounded continuous, semicontinuous, intercepts or categorical variables.</p>

Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.

Matthias Speidel

Hierarchical Multiple Imputation

stand: Standardizing function

Description

Usage

Arguments

Value