[R] Multinomial Logistic Regression with Complex Survey using 'Survey' Package in R

[Bert Gunter]

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-- Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Tue, Jun 19, 2018 at 2:54 PM, Mackenzie Jones <mackenzietjones using gmail.com>
wrote:

> Dear R Users,
>
> I want to use a multinomial logistic regression model with survey data in
> the “survey” package. The original package did not have a function for
> multinomial logistic regression, so Thomas Lumley suggested creating
> replicate weights for the survey and doing a multinomial regression with
> frequency weights in the mlogit package. See the below message for
> reference:
>
> There isn't an implementation of multinomial regression in the survey
> package.  The easiest way to do this would be to create replicate weights
> for your survey if it doesn't already have them (with
> as.svrepdesign()) and then use withReplicates() to do the regression using
> a function that does multinomial regression with frequency weights, such as
> mlogit() in the mlogit package.  The example on the withReplicates() help
> page shows how to do this for quantile regression, and it should be similar.
>
> However, there has been a more recent release of the “survey” package in
> May 2018, so I am wondering if there is now a function that does
> multinomial logistic regression with the survey. Please let me know if
> anyone knows of this update, or has any additional advice on how to perform
> this function.
>
> Thank you,
> Mackenzie
>
>
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