|Daniel Kapla 9d0f551dc3 final CRAN re-submition (1.0 -> 1.1) changes in DESCRIPTION||hace 1 año|
|CVarE||hace 1 año|
|simulations||hace 2 años|
|.gitattributes||hace 1 año|
|.gitignore||hace 1 año|
|README.md||hace 1 año|
The package depends on the
mda package (see: mda @ cran.r-project. Therefore the first step is to install the
A release will be available in a few days.
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
?library for further information.
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
devtools the package can also be directly installed from within
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
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.
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).