Tools for longitudinal analysis within the EGG (Early Growth Genetics) Consortium.
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Install
pak
temp_library <- file.path(".", "R") dir.create(temp_library, recursive = TRUE) .libPaths(temp_library) utils::install.packages( pkgs = "pak", lib = temp_library, repos = sprintf( "https://r-lib.github.io/p/pak/stable/%s/%s/%s", .Platform[["pkgType"]], R.Version()[["os"]], R.Version()[["arch"]] ) )
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Install
eggla
and its dependencieslibrary(pak) VERSION <- "latest" utils::download.file( url = sprintf( "https://raw.githubusercontent.com/mcanouil/eggla/%s/.github/.devcontainer/eggla/R/pkg.lock", VERSION ), destfile = "pkg.lock" ) lockfile_install(lockfile = "pkg.lock", lib = temp_library) pkg_install(sprintf("mcanouil/eggla@%s", VERSION), lib = temp_library, upgrade = FALSE, dependencies = FALSE)
docker pull ghcr.io/mcanouil/eggla:devel
.docker pull ghcr.io/mcanouil/eggla:latest
.
MIT © Mickaël Canouil, Nicole Warrington, Kimberley Burrows, and Anni Heiskala.
Please note that the eggla
project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.