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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# spikeyglass
<!-- badges: start -->
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/mljaniczek/spikeyglass/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/mljaniczek/spikeyglass/actions/workflows/R-CMD-check.yaml)
<!-- badges: end -->
The goal of spikeyglass is to implement the method Bayesian Spike-and-Slab Joint Graphical Lasso (SSJGL) in an easy-to-use R package.
Method paper:
Li ZR, McCormick TH, Clark SJ. Bayesian Joint Spike-and-Slab Graphical Lasso. Proc Mach Learn Res. 2019 Jun;97:3877-3885. PMID: 33521648; PMCID: PMC7845917.
Code based on:
https://github.com/richardli/SSJGL
Acknowledgement
The code to implement GGL and FGL are adapted from the R package [JGL](https://cran.r-project.org/web/packages/JGL/index.html) by Patrick Danaher.
## Installation
You can install the development version of spikeyglass from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("mljaniczek/spikeyglass")
```