[R-sig-DCM] Any package which can handle choice based sampling

[ravibabu manchala]

Dear Cris

Thanks for the response and thanks for the link. For a newcomer to R it has
some very good material.


I am aware of some of the models and that they can perform for Choice based
conjoint (CBC) but I am not looking for CBC. I am looking at a case where
sampling is not random but samples are decided as per the choices.

I will clarify with an example. Suppose A, B and C are three choices in a
universal set with shares of 75%,  24% and 1% respectively. As it is
difficult to get the samples for C if you go for random sample you
concentrate and get more samples for C. Say our sample proportions are 60%,
30% and 10% for A, B and C respectively. There are estimators designed for
such samples (pl. see https://eml.berkeley.edu/~mcfadden/discrete/ch2.pdf
for a review).

To the extent I have reviewed none the packages are designed to estimate
with choice based samples.

May be I am missing something.

with warm regards
Ravibabu

On 1 May 2017 at 22:32, Chris Chapman <cnchapman at gmail.com> wrote:

> What exactly are you trying to do?
>
> Among the R packages that can handle estimation of choice models are
> mlogit, bayesm, RSGHB, and ChoiceModelR. Choice-based conjoint models can
> be fit by any of those. (For example, see Chapter 13 here:
> http://r-marketing.r-forge.r-project.org/Instructor/slides-index.html)
>
>
> On Mon, May 1, 2017 at 11:48 AM, ravibabu manchala <
> ravibabumanchala at gmail.com> wrote:
>
>> Hello all,
>>
>> I am new to the group. I am looking for a choice based sampling estimator
>> in R. Is there any package in R which handles this?
>>
>> Any leads would be most welcome. Thanks a lot in advance.
>>
>> regards
>> Ravibabu
>>
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