Date: Fri, 08 Jun 2001 12:19:54 +0100 From: =?iso-8859-1?Q?Jos=E9?= Ernesto Jardim <ernesto at ipimar.pt> X-Mailer: Mozilla 4.76 [en] (X11; U; Linux 2.2.18 i686) X-Accept-Language: en MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Sender: owner-r-help at stat.math.ethz.ch Precedence: SfS-bulk Hi I would like to know if the "penalty associated with the fit" that is printed by the summary.ssanova function is the smoothing parameter (\lambda) of the criterion function that's minimized to find f. Thanks EJ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._ No, it is the whole penalty term, n*lambda times the integrated square second derivative IF you are using the cubic spline for univariate smoothing. Although it is provided, I don't expect it be used much. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
gss package
1 message · Chong Gu