R help - Jul 2010 - New R-SIG for Discrete Choice Modelling

Hello all,

I'd like to announce the availability of a mailing list for a
newly-formed SIG (Special Interest Group) dedicated to using R for
Discrete Choice Modelling.

This list is intended for discussion of issues revolving around the
design and analysis of Discrete Choice (aka Stated Choice, Stated
Preference or Choice-Based Conjoint) experiments.

While R has good infrastructure for experimental design in the
traditional sense (i.e. generation and evaluation of fractional
factorials and balanced incomplete blocks) the use of packages can be
daunting for the novice. This list can be a source of help for applied
DC/SP/CBC researchers who may not necessarily be R experts.

If you'd like to join the SIG (or just subscribe to the list), please
visit this URI:

https://stat.ethz.ch/mailman/listinfo/r-sig-dcm

The SIG has not done anything apart from setting up this list (yet), and
at present consists of four people.  Check out the Web page to see more
detail on our views and aims, and jump in!


-- 
Department of Marketing
University of Otago

+64 03 479 5040
http://marketing.otago.ac.nz/staff/williamsj.asp

To follow up: if you tried to join this SIG but couldn't, please try again.
There was a configuration error but it has been corrected.  The link to join is
below.  Cheers!

-----Original Message-----
From: John Williams [mailto:john.williams at otago.ac.nz] 
Sent: Thursday, July 08, 2010 5:55 PM
To: R Help; Data Analytics Corp.; Chris Chapman; Aline Deschamps
Subject: New R-SIG for Discrete Choice Modelling

Hello all,

I'd like to announce the availability of a mailing list for a newly-formed
SIG (Special Interest Group) dedicated to using R for Discrete Choice Modelling.

This list is intended for discussion of issues revolving around the design and
analysis of Discrete Choice (aka Stated Choice, Stated Preference or
Choice-Based Conjoint) experiments.

While R has good infrastructure for experimental design in the traditional sense
(i.e. generation and evaluation of fractional factorials and balanced incomplete
blocks) the use of packages can be daunting for the novice. This list can be a
source of help for applied DC/SP/CBC researchers who may not necessarily be R
experts.

If you'd like to join the SIG (or just subscribe to the list), please visit
this URI:

https://stat.ethz.ch/mailman/listinfo/r-sig-dcm
 
The SIG has not done anything apart from setting up this list (yet), and at
present consists of four people.  Check out the Web page to see more detail on
our views and aims, and jump in!


--
Department of Marketing
University of Otago

+64 03 479 5040
http://marketing.otago.ac.nz/staff/williamsj.asp