Did you download the new package and check? Is there some reason you shouldn't do this in any case?
There is also usually a News file in the package download that tells you about new features. -- 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 <mackenzietjo...@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 > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
