?fitted ?predict ## This is what one usually does, but I have not checked pglm.
You also need to get friendly with ?str ... and probably also spend time with an R tutorial or two to become familiar with R modeling conventions. 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 Fri, Apr 12, 2019 at 7:35 AM Simon Berrebi <si...@berrebi.net> wrote: > Hello everyone, > > I am using the pglm function in R to fit a Poisson fixed-effects model. > According to the documentation < > https://cran.r-project.org/web/packages/pglm/pglm.pdf>, the pglm object > should have fitted.values. However, fitted.values(mymodel) returns "NULL". > > When I run AIC(mymodel) the AIC is followed by "attr(,"fitted.values")" > and a long list of number. I have included an example below and attached a > text file with the output. > > Are these fitted values? If so, is there a way to obtain them directly? > Can I also get fitted-values based on a synthetic dataset (i.e. predict())? > > install.packages("pglm") > library(pglm) > > data("PatentsRDUS", package="pglm") > > > mymodel <- pglm(patents ~ log(rd) + as.numeric(year)+ > I(log(capital72)*as.numeric(year)) , PatentsRDUS, > family = poisson(link=log), model = "within", index = c("cusip", > "year")) > > fitted.values(mymodel) > AIC(mymodel) > > Cordially, > — > Dr. Simon J Berrebi > Postdoctoral Fellow > Civil and Environmental Engineering > Georgia Institute of Technology > > > > > > > > > ______________________________________________ > 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.