Make a prediction after using pglm function

[Fede2]

Hi!
I've wrote this code to obtain a logistic regression model with panel data.

mod1<-pglm(Yclass ~ Processo + eventi + precedente, data=res$train,
family = binomial(link= logit), model="random", index=c("t", "Matricola"))

Now, I'd like make a prediction using the test set, but I've noticed that the generic function predict() doesn't work. How can I solve this problem? Which is the right code?

predmod1 <- predict(mod1, newdata= res$test, type = "response")

[williaml]

1. Please provide reproducible examples!!!!!!

FAQ: What's a reproducible example (`reprex`) and how do I create one?

Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it and feel your pain. Then, hopefully, folks can more easily provide a solution. What's in a Reproducible Example? Parts of a reproducible example: background information - Describe what you are trying to do. What have you already done? complete set up - include any library() calls and data to reproduce your issue. data for a reprex: Here's a discussion on setting up data for a reprex make it run - include the minimal code required to reproduce your error on the data provi…

2. Have a read on predicting:

https://www.statology.org/r-glm-predict/

[Fede2]

Thanks, but I don't use a simple glm but the function pglm, for panel data...