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

lunEstimate(counts, params = newLunParams())

# S3 method for SingleCellExperiment
lunEstimate(counts,
  params = newLunParams())

# S3 method for matrix
lunEstimate(counts, params = newLunParams())

Arguments

counts

either a counts matrix or an SingleCellExperiment object containing count data to estimate parameters from.

params

LunParams object to store estimated values in.

Value

LunParams object containing the estimated parameters.

Details

The nGenes and nCells parameters are taken from the size of the input data. No other parameters are estimated. See LunParams for more details on the parameters.

Examples

# Load example data library(scater)
#> Warning: package ‘scater’ was built under R version 3.6.1
#> Loading required package: ggplot2
set.seed(1) sce <- mockSCE() params <- lunEstimate(sce) params
#> A Params object of class LunParams #> Parameters can be (estimable) or [not estimable], 'Default' or 'NOT DEFAULT' #> #> Global: #> (GENES) (CELLS) [Seed] #> 2000 200 848036 #> #> 9 additional parameters #> #> Mean: #> [Rate] [Shape] #> 2 2 #> #> Counts: #> [Dispersion] #> 0.1 #> #> Groups: #> [GROUPS] [GROUP CELLS] #> 1 200 #> #> Diff expr: #> [Genes] [Up Prop] [Up FC] [Down FC] #> 1000 0.5 5 0 #>