fit_count_models: Fit a gene with regression models

In churchill-lab/scRATE: A Bayesian model selection approach to test zero inflation from scRNA-seq data

Description

Fit a gene with regression models

Usage

fit_count_models(gexpr, formula_string = NULL, nCores = NULL,
  seed = NULL, adapt_delta = 0.8, model2fit = NULL)

Arguments

gexpr	A data frame that containes UMI count (y), log_depth (exposure), and covariate values
formula_string	A regression formula to fit the non-zero-inflated counts (Note: Do not use 'offset()')
nCores	Number of cores
seed	Seed number
adapt_delta	The target average proposal acceptance probability during Stan’s adaptation period (default:0.8)
model2fit	A specific model to fit (1:P, 2:NB, 3:ZIP, 4:ZINB, NULL:All)

Value

A list of 'stanfit' returned by model(s)

churchill-lab/scRATE documentation built on Aug. 12, 2020, 2:52 p.m.