runGLMMTests {treekoR} | R Documentation

## runGLMMTests

### Description

This function runs GLMM using the treekoR inputs across all nodes of the hierarchical tree of clusters, adapted from the diffcyt workflow. (Unable to get direction of test statistic currently)

### Usage

    runGLMMTests(td, clusters, samples, classes, pos_class_name, neg_class_name)

### Arguments

`td` | a dataframe of data from ggtree object
`clusters` | a vector representing the cell type or cluster of each cell (can be character or numeric). If numeric, cluster names need to be consecutive starting from 1.
`samples` | a vector identifying the patient each cell belongs to
`classes` | a vector containing the patient outcome/class each cell belongs to

### Value

a dataframe with pvalues and test statistics

[Package treekoR version 1.2.1 Index]