prior_informed_medicine_names

<p>Contain names identifying the individual subfields
from the Cochrane database of systematic reviews. The individual
elements correspond to valid name arguments for the <code>prior_informed()</code>
function.</p>

datasets

A framework for estimating ensembles of parametric survival models
with different parametric families. The RoBSA framework uses Bayesian
model-averaging to combine the competing parametric survival models into
a model ensemble, weights the posterior parameter distributions based on
posterior model probabilities and uses Bayes factors to test for the
presence or absence of the individual predictors or preference for a
parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>).
The user can define a wide range of informative priors for all parameters
of interest. The package provides convenient functions for summary, visualizations,
fit diagnostics, and prior distribution calibration.

Franti<c5><a1>ek Barto<c5><a1>

RoBSA

Robust Bayesian Survival Analysis

František Bartoš

Julia M. Haaf

Matthew Denwood

Martyn Plummer

prior_informed_medicine_names function

<p>An object of class <code>character</code> of length 47.</p>

Format

Names of medical subfields from the Cochrane database of systematic reviews — prior_informed_medicine_names

Names of medical subfields from the Cochrane database of systematic reviews

prior_informed_medicine_names: Names of medical subfields from the Cochrane database of systematic reviews

Description

Usage

Arguments

Format