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BayesMixSurv  

Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesMixSurv", "0.9.1")



Attach the package and use:
library("BayesMixSurv")
Maintained by
Alireza S. Mahani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-25
Latest Update: 2016-09-08
Description:
Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification. As a Bayesian dynamic survival model, it relaxes the proportional-hazard assumption. Lasso shrinkage controls overfitting, given the increase in the number of free parameters in the model due to presence of two Weibull components in the hazard function.
How to cite:
Alireza S. Mahani (2014). BayesMixSurv: Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification. R package version 0.9.1, https://cran.r-project.org/web/packages/BayesMixSurv. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9 (2014-10-25 08:07)
Other packages that cited BayesMixSurv R package
View BayesMixSurv citation profile
Other R packages that BayesMixSurv depends, imports, suggests or enhances
Complete documentation for BayesMixSurv
Functions, R codes and Examples using the BayesMixSurv R package
Some associated functions: BayesMixSurv . BayesMixSurv_CrossVal . plot_BayesMixSurv . predict_BayesMixSurv . summary_BayesMixSurv . 
Some associated R codes: BayesMixSurv.R . Sample.R . SliceSampler.R . utils.R . zzz.R .  Full BayesMixSurv package functions and examples
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