Other packages > Find by keyword >

SCRSELECT  

Performs Bayesian Variable Selection on the Covariates in a Semi-Competing Risks Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCRSELECT", "1.3-3")



Attach the package and use:
library("SCRSELECT")
Maintained by
Andrew Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-26
Latest Update:
Description:
Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and SCRSELECTRUN() uses Stochastic Search Variable Selection to select important covariates in the three hazard functions of a semi-competing risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the three baseline hazard function. The function SCRSELECT() returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired file location, while the function SCRSELECTRUN() returns posterior values of important quantities to the DIC-Tau_g procedure in a list. The function DICTAUG() returns a list containing the DIC values for the unique models visited by the DIC-Tau_g grid search. The function ReturnModel() uses SCRSELECTRUN() and DICTAUG() to return a summary of the posterior coefficient vectors for the optimal model along with saving this posterior sample to a desired path location.
How to cite:
Andrew Chapple (2016). SCRSELECT: Performs Bayesian Variable Selection on the Covariates in a Semi-Competing Risks Model. R package version 1.3-3, https://cran.r-project.org/web/packages/SCRSELECT. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0-0 (2016-03-26 17:21), 1.1-0 (2016-09-28 21:32), 1.1-1 (2017-04-07 19:01), 1.1-2 (2017-04-11 00:47), 1.1-3 (2017-05-29 20:01), 1.2-2 (2017-06-28 08:00), 1.3-3 (2017-08-23 19:46)
Other packages that cited SCRSELECT R package
View SCRSELECT citation profile
Other R packages that SCRSELECT depends, imports, suggests or enhances
Functions, R codes and Examples using the SCRSELECT R package
Some associated functions: DICTAUG . ReturnModel . SCRSELECT . SCRSELECTRETURN . 
Some associated R codes: DICTAUG.R . ReturnModel.R . SCRSELECT.R . SCRSELECTRETURN.R .  Full SCRSELECT package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
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  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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