[R] Nonlinear logistic regression fitting

[Bert Gunter]

You said:
"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."

My reply responded to that.

AFAIK, opinions on packages are off topic here. Try stats.stackexchange.com
for that.

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 8:19 AM Sebastien Bihorel <
Sebastien.Bihorel using cognigencorp.com> 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.
>
> 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> 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.
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>

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