Casey, I have used laavan for sem in the past. Stephen Sefick, PhD
On Mon, Oct 5, 2020, 02:12 Casey Mallon <cemal...@uchicago.edu> wrote: > Hello everyone! > > I am currently working with a time series panel data set measuring six > dependent variables: > 4 of which are binary and 2 of which are count data. > > I am interested in constructing a model to measure if the dependent > variables influence one another. > > For example: DV1~ DV2 + IV1+IV2+ Controls and DV2~ DV1 + IV1+ IV2+ Controls > (where IV stands for independent variable, not instrumental). > > My current code looks like: > glm(DV1~ IV1+ Control1+ Control2+ DV4+ DV5+ DV6, family="binomial", data= > data) > which I repeat for each of the 6 DVs. > > > I realize that I need to run a series of simultaneous equation models, but > I am not having much luck figuring out how to run an SEM with binary data > in R. The zelig package used to have a bivariate logit command, but zelig > does not work with the most current version of R. Additionally, I would run > into issues later on using that command since 2 of my variables are not > binary. > > Any ideas? Thanks for your help! > > Casey > > --- > > Ph.D student, Political Science > > University of Chicago > > [[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.