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EGG Longitudinal Analysis

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Tools for longitudinal analysis within the EGG (Early Growth Genetics) Consortium.

Important

No support will be provided outside of GitHub.

All support requests, bug reports, feature requests, and general questions must be submitted through GitHub Issues or Discussions on this repository.

Installation

  • 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"]]
      )
    )
  • Install eggla and its dependencies

    library(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 Images

  • docker pull ghcr.io/mcanouil/eggla:devel.
  • docker pull ghcr.io/mcanouil/eggla:latest.

License

MIT © Mickaël Canouil, Nicole Warrington, Kimberley Burrows, and Anni Heiskala.

Code of Conduct

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.

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Early Growth Genetics Longitudinal Analysis.

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