mixed_effect {structToolbox} | R Documentation

## Mixed Effects model class

### Description

Mixed Effects model class. Applies RE model for all features in a DatasetExperiment

### Usage

    mixed_effect(alpha = 0.05, mtc = "fdr", formula, ss_type = "marginal", ...)

### Arguments

`alpha` | The p-value threshold. Default alpha = 0.05.
`mtc` | Multiple test correction method passed to `p.adjust`. Default mtc = 'fdr'.
`formula` | The formula to use. See `aov` for details.
`ss_type` | Type of sum of squares to use. "marginal" = Type III sum of squares, and "sequential" = Type II. Default is "marginal".
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    D = iris_DatasetExperiment()
    D$sample_meta$id=rownames(D) # dummy id column
    M = mixed_effect(formula = y~Species+ Error(id/Species))
    M = model_apply(M,D)

[Package structToolbox version 1.0.1 Index]