AdjustSIZE_fun: Adjust MME size estimate
In bayNorm: Single-cell RNA sequencing data normalization

Description Usage Arguments Value Examples

This function adjusts MME estimated size parameter of prior, which is a negative binomial distribution, using estimates from maximizing marginal distirbution (BB_SIZE). Simulation studies has shown this hybrid method of using adjusted MME size estimates is the most robust (see bayNorm paper). Hence, this is the default option for estimating size in bayNorm.

1	AdjustSIZE_fun(BB_SIZE, MME_MU, MME_SIZE)

`BB_SIZE`	size estimated from `BB_Fun`.
`MME_MU`	mu estimated from EstPrior.
`MME_SIZE`	size estimated from EstPrior.

MME_SIZE_adjust: A vector of estimated size. Adjusted MME_SIZE based on BB_SIZE (size estimated by maximizing marginal distribution)

data('EXAMPLE_DATA_list')
MME_MU<-rlnorm(100,meanlog=5,sdlog=1)
MME_SIZE<-rlnorm(100,meanlog=1,sdlog=1)
BB_SIZE<-rlnorm(100,meanlog=0.5,sdlog=1)
adjustt<-AdjustSIZE_fun(BB_SIZE, MME_MU, MME_SIZE)