[R] Nonlinear logistic regression fitting

[Berry, Charles]

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 using 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.4567 using gmail.com>
> Sent: Tuesday, July 28, 2020 11:12
> To: Sebastien Bihorel <Sebastien.Bihorel using cognigencorp.com>
> Cc: r-help using r-project.org <r-help using 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 using r-project.org<mailto:r-help using 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 using r-project.org<mailto:R-help using 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]]
>