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I am analyzing particulate matter data (PM10) on a small data set (147 observations). I fitted a semi-parametric model and am worried about overfitting. How can one check for model fit in GAM? Jean G. Orelien
I am new to R. I'm using the function GAM and wanted to get standard errors and p-values for the parametric terms (I fitted a semi-parametric models). Using the function anova() on the object from GAM, I...
I fitted a GAM model with Poisson distribution to a data with about 200 observations. I noticed that the plot of the residuals versus fitted values show a trend. Residuals tend to be lower for higher fitted values. Because, I...
-----Original Message----- From: Jean G. Orelien [mailto:jorelien at scimetrika.com] Sent: Wednesday, April 04, 2007 11:22 AM To: 'Julien' Subject: RE: [R] Power analysis and mixed model Julien, You could write your Linear Mixed Model as a General...
You can also refer to the following papers which have proposed Rsquares for the linear mixed model: Vonesh, E. F., Chinchilli, V. P., and Pu, K. W. (1996), "Goodness-of-fit in generalized nonlinear mixed-effects models," Biometrics, 52, 572...
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