escoEstMean: Estimate esco group mean parameters
In JINJINT/ESCO: Simple Simulation of Single-cell RNA Sequencing Data

Description Usage Arguments Details Value

Estimate rate and shape parameters for the gamma distribution used to simulate gene expression means.

1	escoEstMean(normcounts, counts, params)

`normcounts`	library size normalised counts matrix.
`counts`	counts matrix to estimate parameters from.
`params`	`escoParams` object to store estimated values in.

Parameter for the gamma distribution are estimated by fitting the mean normalised counts using fitdist. The 'maximum goodness-of-fit estimation' method is used to minimise the Cramer-von Mises distance. This can fail in some situations, in which case the 'method of moments estimation' method is used instead. Prior to fitting the means are winsorized by setting the top and bottom 10 percent of values to the 10th and 90th percentiles.

escoParams object with estimated values.

JINJINT/ESCO documentation built on May 13, 2021, 7:25 p.m.