# Multilevel Model for Multivariate Responses with Missing Values

## Documentation for package ‘mlm4omics’ version 1.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

mlm4omics-package | The 'mlm4omics' package.
mlm4omics | The 'mlm4omics' package.
mlmc | The multilevel function for missing and censored dependents: mlmc().
mlmm | The multilevel model to handle missing dependants: mlmm().
pdata | pdata for examples and testthat() pdata has 7 variables and var1 is the response variable, var2 is a continuous explanatory variable, treatment is another explanatory variable, miss and censor are indicator for missing and censored, geneid and sid represents gene id and subject id respectively.
setinitvalues | The function to set initial values for parameters: setinitvalues().