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ssgraph  

Bayesian Graph Structure Learning using Spike-and-Slab Priors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ssgraph", "1.15")



Attach the package and use:
library("ssgraph")
Maintained by
Reza Mohammadi
[Scholar Profile | Author Map]
First Published: 2018-04-23
Latest Update: 2022-12-24
Description:
Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
How to cite:
Reza Mohammadi (2018). ssgraph: Bayesian Graph Structure Learning using Spike-and-Slab Priors. R package version 1.15, https://cran.r-project.org/web/packages/ssgraph. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.0 (2018-04-23 10:11), 1.1 (2018-05-07 22:43), 1.2 (2018-05-14 14:35), 1.3 (2018-05-21 20:56), 1.4 (2018-07-04 17:20), 1.5 (2018-10-05 10:00), 1.6 (2018-11-08 18:10), 1.7 (2019-02-20 12:40), 1.8 (2019-03-20 00:30), 1.9 (2019-09-05 18:40), 1.10 (2019-09-15 02:10), 1.11 (2020-05-14 12:10), 1.12 (2020-05-24 21:20), 1.13 (2022-05-09 10:50), 1.14 (2022-08-12 00:40)
Other packages that cited ssgraph R package
View ssgraph citation profile
Other R packages that ssgraph depends, imports, suggests or enhances
Complete documentation for ssgraph
Functions, R codes and Examples using the ssgraph R package
Some associated functions: plot.ssgraph . predict.ssgraph . print.ssgraph . ssgraph-package . ssgraph . summary.ssgraph . 
Some associated R codes: ssgraph.R .  Full ssgraph package functions and examples
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