CRAN/E | RoBSA

RoBSA

Robust Bayesian Survival Analysis

Installation

About

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.

Citation RoBSA citation info
fbartos.github.io/RoBSA/
System requirements JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 4.0.0
Published 2023-05-30 380 days ago
Needs compilation? yes
License GPL-3
CRAN checks RoBSA results

Downloads

Yesterday 2
Last 7 days 16 -62%
Last 30 days 148 -39%
Last 90 days 560 -24%
Last 365 days 2.563 +27%

Maintainer

Maintainer

František Bartoš

Authors

František Bartoš

aut / cre

Julia M. Haaf

ths

Matthew Denwood

cph

(Original copyright holder of some modified code where indicated.)

Martyn Plummer

cph

(Original copyright holder of some modified code where indicated.)

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RoBSA archive

Depends

R ≥ 4.0.0

Imports

BayesTools ≥ 0.2.14
survival
rjags
runjags
scales
coda
stats
graphics
rlang
Rdpack

Suggests

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