R: Multiple Linear Mixed-Effects Models

mlmer {omics}

R Documentation

Multiple Linear Mixed-Effects Models

Fits multiple linear mixed-effects models.

    mlmer(formula, data, vars, lrt=TRUE, save.residuals=FALSE, save.ranks=TRUE)

`formula`	an object of class `formula` (or one that can be coerced to that class): a symbolic description of the models to be fitted.
`data`	an optional data frame, list or environment (or object coercible by `as.data.frame` to a data frame) containing the variables in the model.
`vars`	a character vector of variables of interest.
`lrt`	whether `p`-values should be computed using likelihood-ratio tests.
`save.residuals`	whether model residuals should be stored and returned.
`save.ranks`	whether random effect ranks should be stored and returned.

A list with elements:

`coefficients`	if 'vars' is missing or non-empty, an array (or data frame, if `vars` contains a single element) of regression coefficient estimates (`coef`), standard errors (`coef.se`), and corresponding `p`-values (`pval`).
`residuals`	if `save.residuals` is `TRUE`, a matrix of model residuals.
`ranef.ranks`	if `save.ranks` is `TRUE` (default), a list of rank matrices (one per random effect) that can be visualized using `ranks.heatmap`.