splatPopEstimateMeanCV {splatter} | R Documentation

## Estimate gene mean and gene mean variance parameters

### Description

Estimate gene mean and gene mean variance parameters

### Usage

    splatPopEstimateMeanCV(params, emp.gene.means)

### Arguments

`params` | SplatPopParams object containing parameters for the simulation of the mean expression levels for the population. See `SplatPopParams` for details.
`emp.gene.means` | data.frame of empirical gene means across a population, where rows are genes and columns are individuals.

### Details

Parameters for the mean gamma distribution are estimated by fitting the mean (across the population) expression of genes that meet the criteria (<50 samples have exp <0.1) and parameters for the cv gamma distribution are estimated for each bin of mean expression using the cv of expression across the population for genes in that bin. Both are fit using `fitdist`. The "Nelder-Mead" method is used to fit the mean gamma distribution and the maximum goodness-of-fit estimation method is used to minimise the Cramer-von Mises distance for the CV distribution.

### Value

params object with estimated values.

[Package splatter version 1.18.2 Index]