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
______________________________________________
[email protected] 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.
