evalLogLikGene: Wrapper for log likelihood of (zero-inflated) negative...

In YosefLab/LineagePulse: Differential expression analysis and model fitting for single-cell RNA-seq data

Description

Chooses whether to evaluate ZINB or NB model based on input.

Usage

evalLogLikGene(vecCounts, vecMu, vecNormConst, vecDisp, vecPi, vecidxNotZero,
  vecidxZero)

Arguments

vecCounts	(count vector number of cells) Observed read counts, not observed are NA.
vecMu	(numeric vector number of cells) Negative binomial mean parameter.
vecNormConst	(numeric vector number of cells) Model scaling factors, one per cell.
vecDisp	(numeric vector number of cells) Negative binomial dispersion parameters.
vecPi	(probability vector number of cells) Drop-out rate estimates. Set to NULL to evaluate NB likelihood.
vecidxNotZero	(bool vector number of cells) Whether observation is larger than zero.
vecidxZero	(bool vector number of cells) Whether observation is zero.

Value

scaLogLik (scalar) Likelihood under zero-inflated negative binomial model.

Author(s)

David Sebastian Fischer

YosefLab/LineagePulse documentation built on May 6, 2019, 2:19 p.m.