Multilevel Model for Multivariate Responses with Missing Values


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Documentation for package ‘mlm4omics’ version 1.2.0

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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().