Did you try searching for "Michaelis" on rseek.org? It seems like there are many hits that might be pertinent to your query.
If none is pertinent, maybe saying why they are not sufficient will help others see how their "expert opinions" can help you. HTH, Chuck > On Jul 28, 2020, at 8:19 AM, Sebastien Bihorel via R-help > <r-help@r-project.org> wrote: > > Thank you for your subtle input, Bert... as usual! > > This is literally the search I conducted and spent 2 hours on before posting > to R-help. I was asking for expert opinions, not for search engine FAQ! > > Thank anyways > > ________________________________ > From: Bert Gunter <bgunter.4...@gmail.com> > Sent: Tuesday, July 28, 2020 11:12 > To: Sebastien Bihorel <sebastien.biho...@cognigencorp.com> > Cc: r-help@r-project.org <r-help@r-project.org> > Subject: Re: [R] Nonlinear logistic regression fitting > > Search! > ... for "nonlinear logistic regression" at rseek.org<http://rseek.org>. > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Tue, Jul 28, 2020 at 7:25 AM Sebastien Bihorel via R-help > <r-help@r-project.org<mailto:r-help@r-project.org>> wrote: > Hi > > I need to fit a logistic regression model using a saturable Michaelis-Menten > function of my predictor x. The likelihood could be expressed as: > > L = intercept + emax * x / (EC50+x) > > Which I guess could be expressed as the following R model > > ~ emax*x/(ec50+x) > > As far as I know (please, correct me if I am wrong), fitting such a model is > to not doable with glm, since the function is not linear. > > A Stackoverflow post recommends the bnlr function from the gnlm > (https://stackoverflow.com/questions/45362548/nonlinear-logistic-regression-package-in-r)... > I would be grateful for any opinion on this package or for any alternative > recommendation of package/function. > ______________________________________________ > R-help@r-project.org<mailto:R-help@r-project.org> mailing list -- To > UNSUBSCRIBE and more, see > 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. > > [[alternative HTML version deleted]] > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
