S4 classes in existing packages

Jeff Enos schrieb:

R-devel,

I'm interested in looking at some examples of existing R packages that
rely heavily on S4 classes to get a feel for varying styles and
package organization techniques.  Could you recommend any packages
that might serve as a good starting point?

Thanks in advance,

Jeff

our packages distr, distrEx, distrSim, distrTEst and RandVar are based
on S4 classes and methods.

As do many others, providing the variety of styles that the questioner 
asked for.  Those that are documented to do so include

CoCo DBI IDPmisc Matrix RMySQL ROracle RSQLite RUnit SparseM aod arules 
boolean coin colorspace copula deal dynamicGraph fBasics(etc) flexclust 
flexmix giRaph gpclib its kappalab kernalb limma lme4 matlab monoProc 
orientlib partsm pixmap tuneR

on CRAM, stats4 in the R sources and most (all?) of BioC.

Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

Thanks to Dirk Eddelbuettel, Matthias Kohl, Professor Ripley, and
Bernhard Pfaff for their helpful reponses.

Here is a list of the packages they recommended:

CRAN: distr distrEx distrSim distrTEst RandVar CoCo DBI IDPmisc Matrix
RMySQL ROracle RSQLite RUnit SparseM aod arules boolean coin
colorspace copula deal dynamicGraph fBasics(etc) flexclust flexmix
giRaph gpclib its kappalab kernalb limma lme4 matlab monoProc
orientlib partsm pixmap tuneR urca

R sources: stats4

BoiC: most/all

Which of these are thought (by the community as a whole) to use S4
classes in a method/style that less experienced programmers like me
should try to learn from and emulate?

Thanks,

Jeff

Prof Brian Ripley writes:

> 
 > > Jeff Enos schrieb:
 > >
 > >> R-devel,
 > >>
 > >> I'm interested in looking at some examples of existing R packages that
 > >> rely heavily on S4 classes to get a feel for varying styles and
 > >> package organization techniques.  Could you recommend any packages
 > >> that might serve as a good starting point?
 > >>
 > >> Thanks in advance,
 > >>
 > >> Jeff
 > >>
 > >>
 > > our packages distr, distrEx, distrSim, distrTEst and RandVar are based
 > > on S4 classes and methods.
 > 
 > As do many others, providing the variety of styles that the questioner 
 > asked for.  Those that are documented to do so include
 > 
 > CoCo DBI IDPmisc Matrix RMySQL ROracle RSQLite RUnit SparseM aod arules 
 > boolean coin colorspace copula deal dynamicGraph fBasics(etc) flexclust 
 > flexmix giRaph gpclib its kappalab kernalb limma lme4 matlab monoProc 
 > orientlib partsm pixmap tuneR
 > 
 > on CRAM, stats4 in the R sources and most (all?) of BioC.
 > 
 > -- 
 > Brian D. Ripley,                  ripley at stats.ox.ac.uk
 > Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
 > University of Oxford,             Tel:  +44 1865 272861 (self)
 > 1 South Parks Road,                     +44 1865 272866 (PA)
 > Oxford OX1 3TG, UK                Fax:  +44 1865 272595

Jeff Enos
Kane Capital Management
jeff at kanecap.com