knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

GEARS

The goal of GEARS is to reconstruct Gaussian Bayesian network and compare two networks (identical or differential) with graph ordering unknown.

Installation

You can install the released version of GEARS from CRAN with:

install.packages("GEARS")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("han16/GEARS")

In case people have installation problem, try this

remove.packages(c("curl","httr"))
install.packages(c("curl", "httr"))
Sys.setenv(CURL_CA_BUNDLE="/usr/lib64/microsoft-r/3.4/lib64/R/lib/microsoft-r-cacert.pem")
devtools::install_git("https://github.com/han16/GEARS")

Example

library(GEARS)
## basic example code
head(exampleData1)
head(exampleData4)

Reference

Gaussian Bayesian network comparisons with graph ordering unknown



han16/GEARS documentation built on Jan. 8, 2022, 12:10 a.m.