-
Notifications
You must be signed in to change notification settings - Fork 13
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Discrete DV and Multiple Interactions #6
Comments
Thank you.
On your first question, yes, we're trying to extend it to generalized
linear models. But it may take a few months. Right now, we can simply use
linear approximation as a tentative solution.
On the second question, multi-way interactions are automatically included
in the model but we only focus on (flexible) marginal effect over one
particular moderator. In your case, for example, you may be focusing on
a*b, but a*c and a*d are already in the model during estimation when
full.moderate
= TRUE
…On Mon, Feb 24, 2020 at 4:14 PM limth85 ***@***.***> wrote:
Hello!
Thank you very much for the interflex package! It is very useful!
I had two questions using the package.
First, my DV is discrete variable, so I was wondering if I can estimate a
logit or probit model with interflex package.
Second, I was wondering if I can use the package to estimate a model with
three sets of interaction variables, that is, for example, y = a + b + a*b
+ c + a*c + d + a*d.
Thank you very much!
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub
<#6?email_source=notifications&email_token=AB2PKGFVOLRR3AVCQADAMOTRERPHFA5CNFSM4K2WXWA2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IP466EQ>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AB2PKGADYALNAQIRU4H45P3RERPHFANCNFSM4K2WXWAQ>
.
--
Yiqing Xu
Assistant Professor
Department of Political Science
Stanford University
http://yiqingxu.org/
|
Thank you! I am excited that you are working on a generalized linear models! On the second question, I am guessing full.moderate = TRUE would be for R. Is there a way I could use the option in stata? |
Oh, I'm sorry. The Stata version hasn't caught up with the R version yet
(esp that we're constantly developing new functionalities). Apologies.
We'll update the State version when the R version is stabilized.
…On Mon, Feb 24, 2020 at 4:25 PM limth85 ***@***.***> wrote:
Thank you!
I am excited that you are working on a generalized linear models!
On the second question, I am guessing full.moderate = TRUE would be for R.
Is there a way I could use the option in stata?
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
<#6?email_source=notifications&email_token=AB2PKGF2VJIDTO3YDN57JGDRERQOBA5CNFSM4K2WXWA2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEM2BWEI#issuecomment-590617361>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AB2PKGDWUQATJBWERV2Q5B3RERQOBANCNFSM4K2WXWAQ>
.
--
Yiqing Xu
Assistant Professor
Department of Political Science
Stanford University
http://yiqingxu.org/
|
Aha, thank you! I had one last question. I was wondering how it will be different from your binning method if I make three dummies from my continuous moderator variable -- low, middle, and high -- and use it as a set of dummies.. |
Hello!
Thank you very much for the interflex package! It is very useful!
I had two questions using the package.
First, my DV is discrete variable, so I was wondering if I can estimate a logit or probit model with interflex package.
Second, I was wondering if I can use the package to estimate a model with three sets of interaction variables, that is, for example, y = a + b + ab + c + ac + d + a*d.
Thank you very much!
The text was updated successfully, but these errors were encountered: