Nothing
survregVB: Variational Bayesian Analysis of Survival Data
Implements Bayesian inference in accelerated failure time (AFT) models for right-censored survival times assuming a log-logistic distribution. Details of the variational Bayes algorithms, with and without shared frailty, are described in Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and Xian et al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Alison Zhang [aut, cre] |
| Maintainer | Alison Zhang <alisonxzhang@gmail.com> |
| License | MIT + file LICENSE | LGPL-2 |
| Version | 0.0.1 |
| URL | https://github.com/chengqianxian/survregVB |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the survregVB package in your browser
Any scripts or data that you put into this service are public.
