update_p0 {basket}

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,
  vemu_wide$baskets
)

# Update the null from p0 = 0.15 the default, to p = 0.25.
update_p0(mem_analysis, 0.20)

## End(Not run)