I would like to experiment with nonlinear inference regions (following chap. 6 of the Bates/Watts book). I have used the nls library for fitting a nonlinear model to measured data but have some difficulties to apply "R speak" to the math of the above mentioned text. Can anybody point me to an example of the computation of a variant of nonlinear inference regions using R? ============================================================================= Thomas Hoffmann, Institut fuer Halbleiter- und Mikrosystemtechnik, TU Dresden E-mail: hoffmann at ehmgs2.et.tu-dresden.de -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Nonlinear Inference Regions
2 messages · Thomas Hoffmann, Douglas Bates
Thomas Hoffmann <hoffmann at ehmgs2.et.tu-dresden.de> writes:
I would like to experiment with nonlinear inference regions (following chap. 6 of the Bates/Watts book). I have used the nls library for fitting a nonlinear model to measured data but have some difficulties to apply "R speak" to the math of the above mentioned text. Can anybody point me to an example of the computation of a variant of nonlinear inference regions using R?
Some of those methods are already implemented in the nls package for R. For example, the creation of the profiles themselves and plotting the profile-based marginal confidence intervals on the parameters is available through profile() and plot.profile.nls(). See example(plot.profile.nls) for an example. We don't make use of the profile traces in this version of the plots but the profile trace is available in the object created by profile. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._