Installation
In colocboost: Multi-Context Colocalization Analysis for QTL and GWAS Studies

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Installation

CRAN (available soon)

Install released versions from CRAN (Linux, macOS and Windows)

install.packages("colocboost")

GitHub

Install the development version from GitHub

devtools::install_github("StatFunGen/colocboost")

Conda

Install major releases using pre-built conda package with a conda-compatible package manager (recommended)

Global pixi installation is the easiest way to use the conda package

pixi global install -c dnachun -c conda-forge r-base # Install r-base as a global package if not already installed
pixi global install -c dnachun -c conda-forge --environment r-base r-colocboost # Inject r-colocboost into r-base global environment

The package can also be added to a local pixi environment

pixi workspace channel add dnachun # Add the dnachun channel to the workspace
pixi add r-colocboost # Add r-colocboost as a dependency to the environment

Micromamba is recommended instead of conda or mamba for traditional conda environments

micromamba install -c dnachun -c conda-forge r-colocboost
mamba install -c dnachun -c conda-forge r-colocboost
conda install -c dnachun -c conda-forge r-colocboost