[R-sig-ME] Cook's distance for glmmTMB models
m|ch@e|@w||||@m@on @end|ng |rom kc|@@c@uk
Tue Nov 19 11:52:38 CET 2019
I've been running a generalise linear mixed model using the glmmTMB package. My data is very large and zero inflated and this packaged worked really well following convergent issues using the traditional lme4 package.
I've been recommended to check for the effect of outliers using Cook's distance, but none of the packages I can find (performance and influence.ME) work with glmmTMB models currently. Is anyone aware of any other methods I might be able to use to check for Cook's distance with glmmTMB objects?
London NERC DTP Candidate
Email: michael.williamson using kcl.ac.uk<mailto:michael.williamson using kcl.ac.uk> Phone: +447764836592 Skype: mikejwilliamson Twitter: @mjw_marine
Most recent paper:
Williamson, M. J., Tebbs, E., Dawson, T., Jacoby D. (2019) 'Satellite Remote Sensing in Shark and Ray Ecology, Conservation and Management', Frontiers in Marine Science, 6, 1-23. https://doi.org/10.3389/fmars.2019.00135<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.3389%2Ffmars.2019.00135&data=01%7C01%7Cmichael.williamson%40kcl.ac.uk%7Cebe89eb38f9f4638c3af08d6b381355f%7C8370cf1416f34c16b83c724071654356%7C0&sdata=RSgPw0Ar9R1JvA0YDYfJhDOdwUYfy7sh2vZs2t5tO94%3D&reserved=0>
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