VGAM can be downloaded from CRAN. Alternatively, it can be downloaded below.
For Windows and Linux/Unix, the easiest way to install VGAM is to run R, and type
install.packages("VGAM", repos = "http://www.stat.auckland.ac.nz/~yee")To obtain a local library in Linux/Unix, type something such as
install.packages("VGAM", repos = "http://www.stat.auckland.ac.nz/~yee", lib = "/myhome/directory/myRlibs")Then typing
library(VGAM)will load the package in. However, in Linux/Unix, first have a file called .Renviron in your home directory with the line
R_LIBS=/myhome/directory/myRlibsin it. Here, /myhome/directory/ specifies your home directory, e.g, something like /home/yee/.
VGAM is available in three flavours:
1.7 MB tar GNU Zipped (.tar.gz)
4.2 MB zip file (.zip)
Version 0.9-1 requires R 2.15.1 or higher. It no longer has Fortran 90 code so there should be no more compiler problems!
So what's new in the latest R version of VGAM? click here.
Some bugs are found and fixed up immediately. Here is a link to the latest (prerelease) version of VGAM.
Some data sets have now been placed into another
package called VGAMdata.
R CMD INSTALL -l ./myRlibs VGAM_0.9-1.tar.gzto obtain a local library of VGAM.
The VGAM Manual is unavailable because it is not yet finished, however, below is some (supplementary and unfinished) documentation.
Here is the VGAM reference card.pdf (164K) (Last updated: 2013-04-29).
The following documentation is a bit more complete than the ones below.
The following documentation is less complete than the ones above.
BUGS: Here is a known list of bugs.
DISCLAIMER: VGAM is still in the development stage, meaning that new features are still being added and bugs are still being found on a regular basis. This product is available on a use-at-your-own-risk basis: the Author assumes no liability for loss or damage of any kind resulting from the use of this product.
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