Yves Deville 05/09/2016
Welcome to the NSGEV package! The main function of the package is TVGEV
which creates an object with class "TVGEV"
representing a Time-Varying model with GEV margins. This kind of model is especially useful to study block maxima, usually annual maxima. A popular use is assessing the impact of global warming using series of annual maxima of the daily maximal temperatures.
See the file NEWS.md. This file will now on be used in place of the ChangeLog
file.
Mind that the nieve package which is used to provide the GEV distribution functions also has its own NEWS file.
In an R session use
This should install the package and make it ready to use.
Mind that by default this does not build the vignette shipped with the package (long-form documentation). To build the vignette, use instead
install_github("IRSN/NSGEV", dependencies = TRUE, build_vignettes = TRUE)
The installation will then take a longer time but the vignette will be accessible from the help of the package (link above the “Help Pages” section).
You can also select a specific branch or a specific commit by using the suitable syntax for install_github
. For instance to install the branch develop
use
install_github("IRSN/NSGEV@develop", dependencies = TRUE)
See the remotes package documentation for more details.
You can also clone the repository to install the package. If you do not have yet a local NSGEV
repository, use git clone
to clone the NSGEV
repository
git clone https://github.com/IRSN/NSGEV
This will create a NSGEV
sub-directory of the current directory, i.e. the directory from which the git command was issued. Of course this can work only if you have the permission to clone.
Move to the parent directory of your cloned repository and use the following command from a terminal to create a tarball source file
R CMD build NSGEV
This will produce a source tarball NSGEV_x.y.z
where x
, y
and z
stand for the major, minor and patch version numbers. Then you can install from a command line
R CMD INSTALL NSGEV_x.y.z
Note that you must also have all the packages required by NSGEV installed.
You can also use the RStudio IDE to install the package.