checkCountDistributionPerGroup: fit different count models

In chenlab-sj/nbid: Differential expression analysis using negative binomial with independent dispersions (NBID)

Description

This function fits the count with different count models including Poisson, negative binomial and zero inflated negative binomial models

Usage

checkCountDistributionPerGroup(count, groupID, countPerCell,
  covariates = NULL, covariatesString = "1", largestKRemoved = 0)

Arguments

count	the vector of counts
groupID	the group ID character
countPerCell	the total UMI per cell
covariates	the covariates to account for
covariatesString	the covariates string used in the formula
largestKRemoved	remove the numbers correspond to the largest K

Value

a data frame with fitted information

Examples

## Not run: 
count = rnbinom(100, size = 2, mu = 0.1)
groupID = 1
countPerCell = floor(rnorm(100, 1e4, 3000))
fitResult = checkCountDistributionPerGroup(count, groupID, countPerCell)
print(t(fitResult))

## End(Not run)

chenlab-sj/nbid documentation built on Nov. 4, 2019, 8:50 a.m.