GCA
R
package will be maintained by the AIAOS Lab at the University of
Florida. The AIAOS Lab will handle
all future maintenance, updates, and support for the package.GCA
is currently available on GitHub and can be installed using
devtools
package:
devtools
package from CRAN.install.packages("devtools")
devtools
package.library(devtools)
GCA
package from GitHub.install_github('uf-aiaos/GCA')
Note: For Apple Silicon (ARM64) users, if you encounter the error
Could not find tools necessary to compile a package
, it can be fixed
using the following command.
# Check the version of gcc installed by homebrew
ls /opt/homebrew/bin/gcc*
# Create a symlink `gcc` under /usr/local/bin/ and point to the gcc installed by Homebrew (gcc-14 in this case).
sudo ln -s /opt/homebrew/bin/gcc-14 /usr/local/bin/gcc
# Restart the terminal and then install the package using `install_github('uf-aiaos/GCA')`.
GCA
package.library(GCA)
?GCA
) after reinstalling GCA..rs.restartR()
Haipeng Yu and Gota Morota. GCA: An R package for genetic connectedness analysis using pedigree and genomic data. BMC Genomics, 2021. 10.1186/s12864-021-07414-7
This project is primarily licensed under the GNU General Public License version 3 (GPLv3).
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.