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R packages
Department of Statistics
R packages
Packages written in the R language can be used to extend the functionality of the R statistical computing environment. Within our department we have produced and maintain the following R packages to implement new features and analyses.
Software
Most of this software can be installed from CRAN
or from the following links:
Here is a subset of R packages we have developed. For a comprehensive list, please email us on: office@stat.auckland.ac.nz
Maintainer  Package  Notes 

Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Charlotte Maia, Brendan McArdle, Chris Wild  s20x  STATS 201/207/208 functions 
James Curran  Bolstad  A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John Wiley & Sons 
Bolstad2  A set of R functions and data sets for the book Understanding Computational Bayesian Statistics, Bolstad, W.M. (2009), John Wiley & Sons ISBN 9780470046098  
dafs  Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientists", Curran, J.M. 2010 CRC Press ISBN: 9781420088267  
Thomas Lumley  survey  analysis of complex survey samples 
rmeta  Metaanalysis  
mitools  Tools for multiple imputation of missing data  
dichromat  Color schemes for dichromats  
ConvCalendar  Converts dates between calendars  
leaps  regression subset selection  
biglm  bounded memory linear and generalized linear models  
Thomas Yee  VGAM  Vector Generalized Linear and Additive Models 
David Scott  DistributionUtils  Distribution Utilities 
GeneralizedHyperbolic  The generalized hyperbolic distribution  
SkewHyperbolic  The Skew Hyperbolic Student tdistribution  
VarianceGamma  The Variance Gamma Distribution  
NormalLaplace  The Normal Laplace Distribution  
HyperbolicDist  The hyperbolic distribution  

RGraphics  Supporting package for the book "R Graphics" 
grImport  Importing vector graphics images into R  
gridSVG  Creating dynamic graphics for the web  
gridBase  Integrating traditional and grid graphics  
hexView  Viewing binary files in R  
graphicsQC  Quality control tools for R graphics  
compare  Comparing R objects  
hyperdraw  Drawing hypergraphs  
rdataviewer  Viewing data files in R  
and more >>> 
Installation
You can use the ‘install.packages()’ command to install any of the above packages.
For packages not on CRAN, perhaps because they are experimental versions, you may first download them manually. Full documentation can be found in the R manual.
Use of a local CRAN mirror will speed installation.