Other packages > Find by keyword >

bayesCureRateModel  

Bayesian Cure Rate Modeling for Time-to-Event Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesCureRateModel", "1.3")



Attach the package and use:
library("bayesCureRateModel")
Maintained by
Panagiotis Papastamoulis
[Scholar Profile | Author Map]
First Published: 2024-06-27
Latest Update: 2024-06-27
Description:
A fully Bayesian approach in order to estimate a general family of cure rate models under the presence of covariates, see Papastamoulis and Milienos (2023) <doi:10.48550/arXiv.2310.06926>. The promotion time can be modelled (a) parametrically using typical distributional assumptions for time to event data (including the Weibull, Exponential, Gompertz, log-Logistic distributions), or (b) semiparametrically using finite mixtures of Gamma distributions. Posterior inference is carried out by constructing a Metropolis-coupled Markov chain Monte Carlo (MCMC) sampler, which combines Gibbs sampling for the latent cure indicators and Metropolis-Hastings steps with Langevin diffusion dynamics for parameter updates. The main MCMC algorithm is embedded within a parallel tempering scheme by considering heated versions of the target posterior distribution.
How to cite:
Panagiotis Papastamoulis (2024). bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data. R package version 1.3, https://cran.r-project.org/web/packages/bayesCureRateModel. Accessed 01 May. 2025.
Previous versions and publish date:
1.0 (2024-06-27 16:20), 1.1 (2024-07-24 18:20), 1.2 (2024-09-14 10:00)
Other packages that cited bayesCureRateModel R package
View bayesCureRateModel citation profile
Other R packages that bayesCureRateModel depends, imports, suggests or enhances
Complete documentation for bayesCureRateModel
Functions, R codes and Examples using the bayesCureRateModel R package
Full bayesCureRateModel package functions and examples
Downloads during the last 30 days
04/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/29Downloads for bayesCureRateModel024681012141618202224TrendBars

Today's Hot Picks in Authors and Packages

fbar  
An Extensible Approach to Flux Balance Analysis
A toolkit for Flux Balance Analysis and related metabolic modeling techniques. Functions are provid ...
Download / Learn more Package Citations See dependency  
dCUR  
Dimension Reduction with Dynamic CUR
Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P. (2009) ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
representr  
Create Representative Records After Entity Resolution
An implementation of Kaplan, Betancourt, Steorts (2022) that cre ...
Download / Learn more Package Citations See dependency  
pander  
An R 'Pandoc' Writer
Contains some functions catching all messages, 'stdout' and other useful information while evaluati ...
Download / Learn more Package Citations See dependency  
geofabrik  
Downloading Open Street Map Data
Download OpenStreetMap data from geofabrik servers httpsdownload.geofabrik.de. This approach usesonl ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,176

Author Associations

24,143

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA