knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of GEARS is to reconstruct Gaussian Bayesian network and compare two networks (identical or differential) with graph ordering unknown.
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")
library(GEARS) ## basic example code head(exampleData1) head(exampleData4)
exampleData1
is the regression coefficient in the networkexampleData4
is one simulated data set with number of node as the number of the columns, 10. Gaussian Bayesian network comparisons with graph ordering unknown
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