Summarise model prior
Extracts a summary of the prior in a structured data format.
## S3 method for class 'blrmfit' prior_summary(object, digits = 2, ...)
object |
|
digits |
number of digits to show |
... |
ignored by the function |
The summary of the prior creates a structured
representation of the specified prior from a
blrm_exnex (blrm_trial) analysis.
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.
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.