I am using the pglm function in R to fit a Poisson fixed-effects model. According to the documentation, the pglm object should have fitted.values. However, fitted.values(model-name) returns "NULL".
When I run AIC(model-name) the AIC is followed by "attr(,"fitted.values")" and a long list of number (see example below).
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") model-name <- 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(model-name) AIC(model-name)