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Add in glmm script the option of initialising the laplacians (and actually use the initialised matrices in _estimate_gauss_laplacian_parameters)
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Dear Amy Sweeny,
I read your great paper ... Please you can help me to fit a model.
I have this variables:
asv : DADA2 output
treat : 3 differents (class1, class2, class3)
time : 3 diff…
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Question via email
> I have been trying to fit a GLMM with Gamma distribution(link=log). Then I used DHARMa to diagnose the dispersion. It showed an underdispersion.
> To my best knowledge and th…
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**Describe the bug**
`emmeans` objects for certain models with a different `type` than the default fail in `apa_print`. Examples that I have identified are `type = unlink` and `type = response` (…
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When there is high consistency in grouping values, the Link and Original scale approximations diverge, with Link scale approaching 1 and Original scale approaching very large numbers. For example, usi…
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Dear all,
I am using step function for backward stepwise selection of lmm model. However, i haven't found which function i could use for similar/comparable (including methods and parameters) stepwi…
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Hi All,
As I'm sure you're aware, linear mixed models and generalised linear mixed models are becoming increasingly widely used in psychology and in other sciences. I'm sure it would be useful to …
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There are at least two advantages of enabling this approach:
1. Poisson models are often used to deal the skeness nature of flow count data, but these data tend to overdispersion which violates the e…
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- https://github.com/seananderson/glmm-course