README.md
In PsamClark/LaRC: Landscape Roughness Calculator
LaRC
Landscape Roughness Calculator: Function for calculating roughness
by sampling across a fitness landscape based on sequence data
Installation
# Must install the devtools package using the below commented out code
# install.packages("devtools")
# Then can install using the devtools package from either of the following:
devtools::install_github(repo = "PsamClark/LaRC")
Requirements
The following software versions are required to operate this package:
R: 3.5.0stringdist: 0.9.5.1 tidyverse: 1.2.1splus2R: 1.2-2plotrix: 3.7-4
Contributions
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
PsamClark/LaRC documentation built on July 8, 2020, 2:34 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
LaRC
Landscape Roughness Calculator: Function for calculating roughness by sampling across a fitness landscape based on sequence data
Installation
# Must install the devtools package using the below commented out code
# install.packages("devtools")
# Then can install using the devtools package from either of the following:
devtools::install_github(repo = "PsamClark/LaRC")
Requirements
The following software versions are required to operate this package:
R: 3.5.0stringdist: 0.9.5.1tidyverse: 1.2.1splus2R: 1.2-2plotrix: 3.7-4
Contributions
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
License
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.