2
$\begingroup$

For a GLM in R, is it correct to interpret that Higher the difference between NULL & RESIDUAL deviance, better is your model? If not, then how do i know if my model is good or bad (for GLM - poisson, gamma, tweedie)

$\endgroup$
1
$\begingroup$

Simply check your model using anova.glm() with a F test or a Chi-squared test. If your write anova(model,test="F") this will automatically compare it to a null model and send back a p-value. Check Zuur et al. 2009 and, in R, ?anova.glm

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.