[R] Nonlinear logistic regression fitting

Sebastien Bihorel Seb@@t|en@B|hore| @end|ng |rom cogn|gencorp@com
Tue Jul 28 17:19:35 CEST 2020

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

... 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:

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
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]]

More information about the R-help mailing list