OncoBayes2 (version 0.6-0)

prior_summary.blrmfit: Summarise model prior

Description

Extracts a summary of the prior in a structured data format.

Usage

# S3 method for blrmfit
prior_summary(object, digits = 2, ...)

Arguments

object

blrmfit (blrm_trial) object as returned from blrm_exnex (blrm_trial) analysis

digits

number of digits to show

...

ignored by the function

Value

Returns an analysis specific list, which has it's own print function. The returned list contains arrays which represent the prior in a structured format.

Details

The summary of the prior creates a structured representation of the specified prior from a blrm_exnex (blrm_trial) analysis.

Examples

# NOT RUN {
## 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)

## run combo2 analysis which defines blrmfit model object
example_model("combo2")

prior_summary(blrmfit)

prior_sum  <- prior_summary(blrmfit)
names(prior_sum)

## the entries of the prior list are labelled arrays
dimnames(prior_sum$EX_mu_log_beta)

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

# }