R^2 and F with imputed data (mice)

I have estimated regression models with imputed data (using mice, model1 <- with(imp, lm(outcome~ predictor1+ predictor2+ predictor3+ predictor4))). In the output I get some information with summary(pool(model1), conf.int = TRUE) like estimate, standard error and p-value. Now I'd like to know the F-value and R^2 of the whole model.
For R^2 I found the following command: pool.r.squared(model1). But I'm still looking for a command to estimate the F-value. Does anyone have experiences with that?

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