Downloading `VGAM`

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/myRlibs

in it. Here, /myhome/directory/ specifies your home directory, e.g, something like /home/yee/.

Alternatively, you can manually download VGAM...

VGAM is available in three flavours:

(A) R 3.0.0 library for Linux/UNIX

[ 1.7 MB tar GNU Zipped (.tar.gz) ]

(B) R 3.0.0 library for Windows

[ 4.2 MB zip file (.zip) ]

(C) MacOS X binary

[ Available on CRAN ]

What's new and the prerelease version and the VGAMdata package

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. See here
or CRAN.

General installation instructions

For R, if you fetch the Linux/Unix GNU Zipped form, type something like
```
    R CMD INSTALL -l ./myRlibs VGAM_0.9-1.tar.gz 
```
to obtain a local library of VGAM.
For R, if you fetch the Windows zipped form, click on "Packages" and then "Install package(s) from local zip files..." and then choose the VGAM .zip file. Then click on "Packages", "Load package..." and then choose VGAM.

Documentation

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.

Documentation for bivariate binomial data: binomial2.pdf (228K) (Last updated: 2008-05-22)

Documentation for categorical data: categorical.pdf (248K) (Last updated: 2010-01-05) [Nb. There is also a document by Laura A. Thompson (2009) which shows how to fit the models in Agresti (2002) using Splus and R. It is on the internet and may be useful.]

Documentation for genetics: genetic.pdf (192K) (Last updated: 2006-10-13)

Documentation for GLMs and GAMs: glmgam.pdf (308K) (Last updated: 2008-04-16)

Documentation for loglinear models: loglin.pdf (196K) (Last updated: 2006-10-30)

Documentation for positive, zero-inflated and zero-altered distributions: Positive.pdf (208K) (Last updated: 2008-11-28)

Documentation for quantile regression: qreg.pdf (2.6Mb) (Last updated: 2008-02-25)

Documentation for reduced-rank regression (including constrained ordination and Goodman's RC model): rrvglm.pdf (816K) (Last updated: 2006-11-21)

The following documentation is less complete than the ones above.

Documentation for extreme value data: Extremes.pdf (280K) (Last updated: 2007-11-20)

Documentation for nonlinear regression: nonlinear.pdf (200K)

Documentation for non-standard time series models: ts.pdf (140K)

Documentation for univariate distributions: univar.pdf (252K)

Documentation for writing and submitting family functions: write.pdf (224K) (Last updated: 2006-11-16)

General information about constraints-on-the-functions (PDF file) constraints.pdf

General information about the xij argument (PDF file) xij.pdf (Last updated: 2009-05-07)

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.

Last modified: Thu May 2 09:39:43 NZST 2013

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Downloading VGAM