mfaEstimate: Estimate mfa simulation parameters
In splatter: Simple Simulation of Single-cell RNA Sequencing Data

Description Usage Arguments Details Value Examples

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

mfaEstimate(counts, params = newMFAParams())

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

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

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

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.

MFAParams object containing the estimated parameters.

# 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
}