Once we have built a regression model, we typically want to use the model for further processing, such as making predictions from the model or plotting the residuals. Unfortunately, for many packages on CRAN this can be difficult.
For example, some models don't have a residuals method and don't save the call or data --- so you can't tell how to generate the residuals from the model object itself. A common snag is that for some models the new data for predict() has to be a matrix; for others it has to be a data.frame. This places an unnecessary burden on the user when both data.frames and matrices can easily be supported by predict. To mitigate such issues, I'm going out on a limb and presenting some guidelines for writers of S3 regression model functions (this document is currently part of the plotmo package): http://www.milbo.org/doc/modguide.pdf Your comments would be appreciated. Stephen Milborrow ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel
