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As a follow-up of #877
Following families need validation or don't yet work:
- [ ] betabinomial
- [ ] hurdle models
- [ ] zero-inflated models
- [ ] glmmTMB::compois
- [ ] glmmTMB::genpois
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Hi All,
I work for a statistical consulting group at a large university in the US that helps with academic research in various departments on campus. I recently ran across the glmmTMB package and …
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### Background of rma.mv function:
Standard meta-analytic models assume independence between the observed effect sizes or outcomes obtained from a set of studies. This assumption is often violated…
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If needed, I could give a 1 day introductory course for people completely new to the R environment, including the following topics:
Introduction to R and RStudio
Data types (vectors, data fram…
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This will be nice to demonstrate the synergy between different `eaystats` packages.
We just need to decide on a dataset on which we can write a paper. It has to be a messy dataset with missing valu…
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Hi dougspeed,
Recently, I was trying to estimate the heritability of reproductive traits using LDAK, but the error showed multiple individual numbers, wondering whether LDAK can not directly estimate…
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as of now the architecture has been tested only on NEON clips from 1 forestGEO site. Eventually, we want to get data from multiple sites to leverage more health status data. One possible way to do tha…
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It would be very useful if glmmTMB supported different types of ordinal regression, e.g. the proportional odds model (cumulative link logit model).
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Hi,
I am doing some research on Mixed effects models and using Stats Mixedlm for same. I have Units to be predicted from Price and size at different UPC levels.
So below is the code I used -
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I'm wondering if it would be possible to allow the design of models to be reusable. For example, the breeding program I work with only needs to run a handful of different mixed model analyses. I would…
ch728 updated
3 years ago