simphony is an R package for simulating large-scale, rhythmic data, including transcriptome data and behavioral activity data. For technical details on how we designed and validated simphony, check out the paper and the accompanying results.
First add the hugheylab repository to your repos. There are multiple ways to do this.
If you use RStudio, go to Tools -> Global Options... -> Packages -> Add... (under Secondary repositories), then enter the following values.
- Name: hugheylab
- Url: https://hugheylab.github.io/drat/
You only have to do this once.
Alternatively, you can enter the following command each time you want to install or update the package.
options(repos = c(getOption('repos'), 'https://hugheylab.github.io/drat/'))Now you can install the package.
install.packages('simphony', type = 'source')You can update the package using update.packages().
You can also use a pre-built docker image, which has all dependencies installed.
docker pull hugheylab/hugheyverseCheck out the vignette and the documentation.
browseVignettes('simphony')
?simphony::simphony