## Update Full Bayes results with different p0 values

### Description

After running either 'mem_mcmc' or 'mem_exact', the test can be updated without rerunning the entire analysis. This function provides updating of both the null response rate along with the alternative rerunning relevant test.

### Usage

update_p0(res, p0 = 0.15, alternative = "greater")


### Arguments

 res the result of an mem analysis. p0 the null response rate for the poster probability calculation (default 0.15). alternative the alternative case definition (default greater)

### Examples

## Not run:
# Create an MEM analysis of the Vemurafenib trial data.
data(vemu_wide)

mem_analysis <- mem_exact(
vemu_wide$responders, vemu_wide$evaluable,