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Is there a sensible parallel to R^2 or similar model fit statistics for nonlinear regression with nls() in R. Is there something implemented in a package? nlstools package does not offer such statistic but plenty of useful diagnnostics etc.

striatum
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  • When opening the library I noticed `IMPORTANT NOTICE: Most nonlinear regression models and data set examples related to predictive microbiolgy have been moved to the package 'nlsMicrobio'`--maybe there's a hint? – jay.sf Feb 25 '18 at 17:55
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    Take a look at https://stats.stackexchange.com/questions/148469/how-should-one-assess-model-fit-for-non-linear-regression – mikeck Feb 25 '18 at 17:59
  • A graphical assessment is often adequate. Assuming `x` is sorted `fm <- nls(y ~ f(x, a, b), start = list(a = 1, b = 1)); plot(y ~ x)); lines(x, fitted(fm))` – G. Grothendieck Feb 25 '18 at 18:25

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