posterior_interval.blrmfit: Posterior intervals

In OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Posterior intervals

Description

Posterior intervals of all model parameters.

Usage

## S3 method for class 'blrmfit'
posterior_interval(object, prob = 0.95, ...)

Arguments

object	fitted model object
prob	central probability mass to report, i.e. the quantiles 0.5-prob/2 and 0.5+prob/2 are displayed. Multiple central widths can be specified.
...	not used in this function

Details

Reports the quantiles of posterior parameters which correspond to the central probability mass specified. The output includes the posterior of the hyper-parameters and the posterior of each group estimate.

Value

Matrix of two columns for the central probability interval prob for all parameters of the model.

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
)

example_model("single_agent", silent = TRUE)

posterior_interval(blrmfit)

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

OncoBayes2 documentation built on April 11, 2025, 5:42 p.m.