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RoBSA  

Robust Bayesian Survival Analysis
View on CRAN: Click here


Download and install RoBSA package within the R console
Install from CRAN:
install.packages("RoBSA")

Install from Github:
library("remotes")
install_github("cran/RoBSA")

Install by package version:
library("remotes")
install_version("RoBSA", "1.0.2")



Attach the package and use:
library("RoBSA")
Maintained by
František Bartoš
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-27
Latest Update: 2023-05-30
Description:
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.
How to cite:
František Bartoš (2022). RoBSA: Robust Bayesian Survival Analysis. R package version 1.0.2, https://cran.r-project.org/web/packages/RoBSA
Previous versions and publish date:
1.0.0 (2022-05-27 09:40), 1.0.1 (2023-03-13 16:20)
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