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ptycho  

Bayesian Variable Selection with Hierarchical Priors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ptycho", "1.1-5")



Attach the package and use:
library("ptycho")
Maintained by
Laurel Stell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-12
Latest Update: 2025-04-08
Description:
Bayesian variable selection for linear regression models using hierarchical priors. There is a prior that combines information across responses and one that combines information across covariates, as well as a standard spike and slab prior for comparison. An MCMC samples from the marginal posterior distribution for the 0-1 variables indicating if each covariate belongs to the model for each response.
How to cite:
Laurel Stell (2015). ptycho: Bayesian Variable Selection with Hierarchical Priors. R package version 1.1-5, https://cran.r-project.org/web/packages/ptycho. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.1-2 (2015-09-12 17:20), 1.1-4 (2015-11-12 19:09)
Other packages that cited ptycho R package
View ptycho citation profile
Other R packages that ptycho depends, imports, suggests or enhances
Complete documentation for ptycho
Functions, R codes and Examples using the ptycho R package
Some associated functions: Data . PosteriorStatistics . WhichCols . checkConvergence . createData . createGroupsSim . createOrthogonalX . print.ptycho . ptycho-package . ptycho . 
Some associated R codes: batch.R . gendata.R . lib.R . mh.R . proc.R .  Full ptycho package functions and examples
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