Platform-specific instructions on installing DaVinci #

Linux (RHEL) #

1. Install the latest version of R (>=4.0.0)
2. Install remotes in R.
3. Run the code below in R with remotes installed.

   remotes::install_github("FunctionLab/DaVinci")
   

You may need to yum install the following packages depending on your setup:

• git
• blas, lapack, blas-devel, lapack-devel
• cmake
• udunits2-devel
• openssl-devel
• gdal-devel, proj-devel, geos-dev

Windows #

1. Install the latest version of R (>=4.0.0)
2. Install Rtools from https://cran.r-project.org/bin/windows/Rtools/. Be sure to select a version that matches your installed R version.
3. Create a text file named .Renviron under the folder This PC/Documents/ with the following content.
   PATH="${RTOOLS40_HOME}\usr\bin;${PATH}"
   If Rtools installation is successful, RTOOLS40_HOME environment variable should have been automatically set up. The variable name may change as you install a different version of Rtools.
4. Install remotes in R.
5. Run the code below in R with remotes installed.

   remotes::install_github("FunctionLab/DaVinci")
   

Mac (ARM chip) #

1. Install the latest version of R (>=4.0.0)
2. Install Xcode developer tools and GNU Fortran compiler following the instructions.
3. Install remotes in R.
4. Run the code below in R with remotes installed.

   remotes::install_github("FunctionLab/DaVinci")
   

If you want to use DaVinci without installation #

You can download the the repo to your working_directory and use the following code block to inlcude all DaVinci functions in your working environment.

 library(Rcpp)
 library(mclust)
 
 script.path <- "working_directory/R/"
 script.list <- list.files(script.path)
 script.list <- setdiff(script.list, c("DAVINCHI.R", "import.R", "RcppExports.R"))
 script.list <- paste0(script.path, script.list)
 sapply(script.list, source)
 
 sourceCpp("working_directory/src/util.cpp")