OncoBayes2 (version 0.6-0)

summary.blrm_trial: Summarise trial

Description

Provides model summaries for blrm_trial analyses.

Usage

# S3 method for blrm_trial
summary(object, summarize = c("blrmfit",
  "blrm_exnex_call", "dose_info", "dose_prediction", "data",
  "data_prediction", "dimensionality"), ...)

Arguments

object

blrm_trial object

summarize

one of the following options:

• blrmfit: summary of the underlying blrmfit object with further arguments ...

• blrm_exnex_call: blrm_exnex call used to create the blrmfit object

• dose_info: dose_info that were defined

• dose_prediction prediction for the defined dose_info

• data: data that were observed

• data_prediction: prediction for the observed data

• dimensionality: numeric vector with entries "num_components", "num_interaction_terms", "num_groups", "num_strata"

...

further arguments for summary.blrmfit

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)

# construct initial blrm_trial object from built-in example datasets
combo2_trial_setup <- blrm_trial(
  data = hist_combo2,
  dose_info = dose_info_combo2,
  drug_info = drug_info_combo2,
  simplified_prior = TRUE
)

# extract blrm_call to see setup of the prior as passed to blrm_exnex
summary(combo2_trial_setup, "blrm_exnex_call")

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

# }