Try the odesolve package or the nlmeODE package which builds on odesolve.
Best regards Frede Aakmann Tøgersen Scientist UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers Allé 20, P.O. BOX 50 DK-8830 Tjele Phone: +45 8999 1900 Direct: +45 8999 1878 E-mail: [EMAIL PROTECTED] Web: http://www.agrsci.org This email may contain information that is confidential. Any use or publication of this email without written permission from Faculty of Agricultural Sciences is not allowed. If you are not the intended recipient, please notify Faculty of Agricultural Sciences immediately and delete this email. > -----Oprindelig meddelelse----- > Fra: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] På vegne af Jannik Vindeloev > Sendt: 15. februar 2008 09:34 > Til: r-help@r-project.org > Emne: [R] How to estimate the parameters of differential > equations fromdata > > Hello list > > I have a theoretical differential equation model (two coupled > differential > equations) describing the acidification of dairy cultures in milk: > > dX/dt = f(H, param)*X > dH/dt = g(param)*dX/dt > > pH = -log10(H) > > I also have actual data of the same. > > I would like to estimate the parameters of the theoretical > model from real data, but don't know how to go about it in R > (I'm fairly new to R). Is there an R-package for this purpose? > > Any help from the list is highly appreciated. > > Thank you > > Jannik Vindeløv, Ph.D. > Project Manager > Dairy Culture Development > Innovation > > P.O. Box 64 > Arpajon > Cedex > F-91292 > France > > Phone: +33 (0)1 6988 3636 > Direct Phone: +33 (0)1 6988 3629 > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
