AdjustSIZE_fun {bayNorm} | R Documentation

## Adjust MME size estimate

### Description

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.

### Usage

    AdjustSIZE_fun(BB_SIZE, MME_MU, MME_SIZE)

### Arguments

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

### Value

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

### Examples

    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)

[Package bayNorm version 1.6.0 Index]