nsamples.blrmfit {OncoBayes2}

Return the number of posterior samples

Description

Return the number of posterior samples

Usage

## S3 method for class 'blrmfit'
nsamples(object, ...)

Arguments

object

fitted model object

...

not used in this function

Examples

## Setting up dummy sampling for fast execution of example
## Please use 4 chains and 100x more warmup & iter in practice
.user_mc_options <- options(OncoBayes2.MC.warmup=10, OncoBayes2.MC.iter=20, OncoBayes2.MC.chains=1,
                            OncoBayes2.MC.save_warmup=FALSE)


## run single-agent analysis which defines blrmfit model object
example_model("single_agent", silent=TRUE)

nsamples(blrmfit)

## Recover user set sampling defaults
options(.user_mc_options)