R help - Jan 2011 - Latent Class Logit Models in discrete choice experiments

Dear R users,

I would like to perform Latent Class Logit Models for the analysis of choice
experiments in environmental valuation.

This kind of analysis is usually performed with NLogit Software
(http://www.limdep.com).

I attach the results I usually obtain using NLogit and NLogit model
specifications.

For Random parameter models and Logit Models I usually perform my analysis with
the package mlogit ( http://cran.r-project.org/web/packages/mlogit/index.html ).

The models I would like to run are presented in this ppt:

http://pages.stern.nyu.edu/~wgreene/.../Lectures/Part13-LatentClassModels.ppt

and an overview is given in this paper by Hoyos: 

http://dx.doi.org/10.1016/j.ecolecon.2010.04.011

Anybody has any package to suggest for this kind of analysis? (poLCA does not
provide me the same estimates)


Thanks in advance

Daniel

Daniel,
searching for 'latent class analysis' on
http://www.r-project.org/search.html
gives many results: the CRAN taskviews on psychometrics and the one on
clustering both contain relevant links to packages that may do what you are
looking for.

In particular, for general LCA there is package e1071, poLCA and randomLCA
(the latter also has random effects hence the name).
Other packages include flexmix and gamlss.mx

hth, Ingmar

PS: the link to the ppt file does not work

On Mon, Jan 31, 2011 at 7:35 PM, Daniel Vecchiato
<daniel.vecchiato@unipd.it
> wrote:
> Dear R users,
>
> I would like to perform Latent Class Logit Models for the analysis of
> choice experiments in environmental valuation.
>
> This kind of analysis is usually performed with NLogit Software (
> http://www.limdep.com).
>
> I attach the results I usually obtain using NLogit and NLogit model
> specifications.
>
> For Random parameter models and Logit Models I usually perform my analysis
> with the package mlogit (
> http://cran.r-project.org/web/packages/mlogit/index.html ).
>
> The models I would like to run are presented in this ppt:
>
>
>
http://pages.stern.nyu.edu/~wgreene/.../Lectures/Part13-LatentClassModels.ppt<http://pages.stern.nyu.edu/%7Ewgreene/.../Lectures/Part13-LatentClassModels.ppt>
>
> and an overview is given in this paper by Hoyos:
>
> http://dx.doi.org/10.1016/j.ecolecon.2010.04.011
>
> Anybody has any package to suggest for this kind of analysis? (poLCA does
> not provide me the same estimates)
>
>
> Thanks in advance
>
> Daniel
>
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
	[[alternative HTML version deleted]]

See: https://www.msu.edu/~chunghw/downloads.html
Maybe you can find something useful there!

Regards

On 1/31/2011 12:35 PM, Daniel Vecchiato wrote:
> Dear R users,
>
> I would like to perform Latent Class Logit Models for the analysis of
choice experiments in environmental valuation.
>
> This kind of analysis is usually performed with NLogit Software
(http://www.limdep.com).
>
> I attach the results I usually obtain using NLogit and NLogit model
specifications.
>
> For Random parameter models and Logit Models I usually perform my analysis
with the package mlogit (
http://cran.r-project.org/web/packages/mlogit/index.html ).
>
> The models I would like to run are presented in this ppt:
>
>
http://pages.stern.nyu.edu/~wgreene/.../Lectures/Part13-LatentClassModels.ppt
>
> and an overview is given in this paper by Hoyos:
>
> http://dx.doi.org/10.1016/j.ecolecon.2010.04.011
>
> Anybody has any package to suggest for this kind of analysis? (poLCA does
not provide me the same estimates)
>
>
> Thanks in advance
>
> Daniel
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
-- 
Sebasti?n Daza
sebastian.daza at gmail.com