Daniel Kapla 8e95902e79 | ||
---|---|---|
CVE | ||
simulations | ||
README.md | ||
cve_tensorflow.R |
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(CVE) # Test installation.
Please consult the man-pages ?install.package
and ?library
for further information.
Installing Source
Cloning the CVE
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 CVE # Go into the repository
R CMD build CVE # Build package tarbal
R CMD INSTALL CVE_0.2.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>/CVE') # Go into package root
(path <- build(vignettes = FALSE)) # Create source package
install.packages(path, repos = NULL, type = "source") # Install source package
library(CVE) # 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 CVE/
directory which is the R
package root and simulations/
where all simulation scripts can be found (and README.md
which is this).