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RoBSA
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]
[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 (Barto
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. Accessed 21 Dec. 2024.
Other packages that cited RoBSA R package
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Other R packages that RoBSA depends,
imports, suggests or enhances
Complete documentation for RoBSA
Functions, R codes and Examples using
the RoBSA R package
Some associated functions: RoBSA-package . RoBSA . RoBSA_control . RoBSA_options . calibrate_meta_analytic . calibrate_quartiles . check_RoBSA . check_setup . contr.orthonormal . default_prior . diagnostics . exp-aft . extract_flexsurv . gamma-aft . is.RoBSA . llogis-aft . lnorm-aft . plot.RoBSA . plot_models . plot_prediction . predict.RoBSA . print.RoBSA . print.summary.RoBSA . prior . prior_factor . prior_informed . prior_informed_medicine_names . prior_none . summary.RoBSA . update.RoBSA . weibull-aft .
Some associated R codes: RoBSA-package.R . check-input-and-settings.R . check-priors-and-models.R . diagnostics.R . distributions.R . fit-and-marglik.R . flexsurv-tools.R . inference-and-model-averaging.R . main.R . plot.R . predict.R . prepare_data.R . priors.R . priors_calibration.R . summary.R . tools.R . utilities.R . zzz.R . Full RoBSA package functions and examples
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