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example Box-Cox transformation with unknown parameter
reference (that I just found again)
A. Scallan, R. Gilchrist, M. Green "Fitting parametric link functions in generalised linear models"
http://…
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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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some good packages here:
* https://adriancorrendo.github.io/tidymixedmodelsweb/code/tidymixedmodels.html#iv.-means-comparison
* https://www.r-bloggers.com/2020/08/building-anova-models-for-long-ter…
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I was curious if generalised linear models and/or other models that use link functions were a potential future feature.
Given the sommer's rather large scope, I was surprised to not see any menti…
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Dealing with time and date data has long been a problem for statisticians, and this problem is especially acute when working with Generalised Linear Mixed Models.
Generative Large Language Models a…
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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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This is for https://github.com/pymc-devs/pymc/issues/3242 and https://github.com/pymc-devs/pymc/issues/6992.
cc: @ricardoV94 @zaxtax
The first hackathon for this will be on **Friday 31st May**. B…
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Are there any plans to also support additional GLM families like quasibinomial, quasipoisson, negative binomial, multinomial, Dirichlet-multinomial (overdispersed multinomial) & ordinal GLMs, some of …
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(DiscreteMargins is one of the main parts of traditional models regression/discrete/genmod/robust that I didn't go through completely in details.)
I was trying to figure out how some basic things are…
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There are many places in the two modules where we use jacobian() and thus diff() to extract the linear coefficients of expressions. In general, we know that the expressions are linear in certain varia…