multilevelImpl {fgsea} | R Documentation

## Calculates P-values for preprocessed data.

### Description

Calculates P-values for preprocessed data.

### Usage

    multilevelImpl(multilevelPathwaysList, stats, sampleSize, seed, absEps,
      sign = FALSE, BPPARAM = NULL)

### Arguments

`multilevelPathwaysList` | List of pathways for which P-values will be calculated.
`stats` | Named vector of gene-level stats. Names should be the same as in 'pathways'
`sampleSize` | The size of a random set of genes which in turn has size = pathwaySize
`seed` | 'seed' parameter from 'fgseaMultilevel'
`absEps` | This parameter sets the boundary for calculating the p value.
`sign` | This option will be used in future implementations.
`BPPARAM` | Parallelization parameter used in bplapply. Can be used to specify cluster to run. If not initialized explicitly or by setting 'nproc' default value 'bpparam()' is used.

### Value

List of P-values.

[Package fgsea version 1.10.1 Index]