mfaEstimate {splatter} | R Documentation

## Estimate mfa simulation parameters

### Description

Estimate simulation parameters for the mfa simulation from a real dataset.

### Usage

    mfaEstimate(counts, params = newMFAParams())

    ## S3 method for class 'SingleCellExperiment'
    mfaEstimate(counts, params = newMFAParams())

    ## S3 method for class 'matrix'
    mfaEstimate(counts, params = newMFAParams())

### Arguments

`counts` | either a counts matrix or a SingleCellExperiment object containing count data to estimate parameters from.
`params` | MFAParams object to store estimated values in.

### Details

The `nGenes` and `nCells` parameters are taken from the size of the input data. The dropout lambda parameter is estimate using `empirical_lambda`. See `MFAParams` for more details on the parameters.

### Value

MFAParams object containing the estimated parameters.

### Examples

    # Load example data
    if (requireNamespace("mfa", quietly = TRUE)) {
        library(mfa)
        synth <- create_synthetic(C = 20, G = 5, zero_negative = TRUE,
                                  model_dropout = TRUE)

        params <- mfaEstimate(synth$X)
        params
    }

[Package splatter version 1.11.4 Index]