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>
> -Original Message-
> From: R-sig-ecology [mailto:r-sig-ecology-boun...@r-project.org] On
> Behalf Of Martin Weiser
> Sent: Thursday, October 29, 2015 2:11 PM
> To: r-sig-ecology@r-project.org
> Subject: [R-sig-eco] glm(binomial) vs. logistf
>
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-Original Message-
From: R-sig-ecology [mailto:r-sig-ecology-boun...@r-project.org] On Behalf Of
Martin Weiser
Sent: Thursday, October 29, 2015 2:11 PM
To: r-sig-ecology@r-project.org
Subject: [R-sig-eco] glm(binomial) vs. logistf
Dear fr
Dear friends,
Is there any reason why to run logistic regression (binomial response)
by glm() and not by logistf() by default? In particular when having
sparse data (e.g. 8 presences in 100 samples), frequently with
quasi-separation (all presences at one level of the predictor, together
with many
