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3 results for “from:Sharon Poessel”

Robust SEs in GLMMs
Sharon Poessel · Nov 23, 2014 · r-sig-mixed-models

When computing resource selection functions for animal telemetry data with a binary response variable, where the 1s represent animal location data, which are spatially and temporally correlated, and the 0s represent random locations, which are not correlated, it is recommended...

Robust SEs in GLMMs
Sharon Poessel · Nov 25, 2014 · r-sig-mixed-models

Thanks Tim. I've only briefly looked at that function, so I'll check it out in more detail. Sharon On Tue, Nov 25, 2014 at 10:19 AM, Tim Meehan <tmeeha at gmail.com> wrote: > Hi Sharon, > > Take a...

Robust SEs in GLMMs
Sharon Poessel · Nov 25, 2014 · r-sig-mixed-models

Thank you to all of you who have responded. I will consider your suggestions. The information is very much appreciated! Sharon On Tue, Nov 25, 2014 at 4:08 PM, Ken Beath <ken.beath at mq.edu.au> wrote: > It...

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