Re: [R] compute coefficient of determination (R-squared) for GLM (maximum likelihood)

regression models (like exponential)? Thank you for your answers. Greetings, Kate -- View this message in context: http://r.789695.n4.nabble.com/compute-coefficient-of-determination-R-squared-for-GLM-maximum-likelihood-tp2261975p3495108.html Sent from the R help mailing list archive at Nabble.com

Re: [R] compute coefficient of determination (R-squared) for GLM (maximum likelihood)

It is not available for a reason. The correct way would be to use lm() instead, if possible. This function reports an R² in the summary. In the case of glm, and if you're absolutely sure about what you're doing, you can use one of the approximations that is used when looking at prediction only,

[R] compute coefficient of determination (R-squared) for GLM (maximum likelihood)

Dear, I want to compute coefficient of determination (R-squared) to complement AIC for model selection of multivariable GLM. However, I found this is not a built-in function in glm. neither is it available through reviewing the question in the R-help archive. Please kindly help and thanks a lot.