I am looking for a way to do multiresponse parameter estimation for a problem that is quite similar in form to the alpha-pinene example in Bates and Watts (1988), p. 147, where the model is a set of ODEs. I am specifically interested in obtaining the parameter covariance matrix, as well. Which package(s) in R would I use to do such a thing? Mark Schaffer Dept. of Chemical Engineering Queen's University Kingston, ON Tel: 613-533-6758 Fax: 613-533-6637 Email: schaffer at chee.queensu.ca http://chemeng.chee.queensu.ca/~schaffer/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Mark Schaffer <schaffer at chee.queensu.ca> writes:> I am looking for a way to do multiresponse parameter estimation for a > problem that is quite similar in form to the alpha-pinene example in Bates > and Watts (1988), p. 147, where the model is a set of ODEs. I am > specifically interested in obtaining the parameter covariance matrix, as > well. Which package(s) in R would I use to do such a thing?I don't think multiresponse parameter estimation in that sense has been implemented in R. It could be added to the nls function but that would require some rather sophisticated programming and I don't have time to do that right now. I could advise someone who wanted to try. There is an odesolve package that you may want to consider for solving the ODE's. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._