October 2017
Beginner to intermediate
572 pages
26h 1m
English
Perform the following step to diagnose the generalized additive model:
> gam.check(fit) Output: Method: GCV Optimizer: magic Smoothing parameter selection converged after 7 iterations. The RMS GCV score gradient at convergence was 8.79622e-06 . The Hessian was positive definite. The estimated model rank was 10 (maximum possible: 10) Model rank = 10 / 10 Basis dimension (k) checking results. Low p-value (k-index<1) may indicate that k is too low, especially if edf is close to k'. k' edf k-index p-value s(nox) 9.000 8.434 0.397 0

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