Daniel Kapla ac34244094 | ||
---|---|---|
CVarE | ||
simulations | ||
.gitattributes | ||
.gitignore | ||
README.md |
README.md
Installation Instructions
The package depends on the mda
package (see: mda @ cran.r-project. Therefore the first step is to install the mda
package
install.packages("mda")
A release will be available in a few days.
- Linux: release 1 Version 0.2 CVE_0.2.tar.gz
- Windows: release 1 Version 0.2 CVE_0.2.zip
- MacOS: Not available jet (unknown)
Open R
and then the following:
# addapt to download file.
install.packages("path/to/cve_0.2.<end>", repos = NULL)
library(CVarE) # Test installation.
Please consult the man-pages ?install.package
and ?library
for further information.
Installing Source
Cloning the CVarE
repository and using R
's build and install routines from a terminal.
git clone https://git.art-ist.cc/daniel/CVE.git # Clone repository
cd CVarE # Go into the repository
R CMD build CVarE # Build package tarbal
R CMD INSTALL CVarE_1.0.tar.gz # Install package
Alternative Installing Source from within R
Using the devtools
the package can also be directly installed from within R
library(devtools) # Load the dectools
setwd('<path_to_repo>/CVarE') # Go into package root
(path <- build(vignettes = FALSE)) # Create source package
install.packages(path, repos = NULL, type = "source") # Install source package
library(CVarE) # Test
Windows / macOS
Installing from source (for any package which contains compiled code, in our case C
) on Windows and MacOS requires additional tools.
See R Installation and Administration from r-project manuals.
Repository Structure
The repository is structured in two directories, the CVarE/
directory which is the R
package root and simulations/
where all simulation scripts can be found (and README.md
which is this).