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extending the framework for additional variables #3
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Thanks!
The most easy way would be to include these covariates directly in the linear predictors for the log-average scores.
For the Bayesian models, you could first fit a Stan model with the function 'stan_foot', then retrieve the original Stan code, and manage this code by including these new variables directly in the specification of log \lambda's.
Hopefully it is clear!
In the next versions of the package we'll give the possibility to include more and more covariates, similar as the ones you suggest!
Best.
Leo
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Da: fine-lemur ***@***.***>
Inviato: venerdì 4 agosto 2023 13:08
A: LeoEgidi/footBayes ***@***.***>
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Oggetto: [LeoEgidi/footBayes] extending the framework for additional variables (Issue #3)
Hi -- nice encapsulation of popular models. Easy to work with.
What's the most straightforward way to keep the simplicity, but add in other variables -- for example game week, or externals like weather?
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helpful pointers. thanks. hello, learning curve! Co-variates would be top of my list of feature requests -- having a generalised way to explore that would be a very high-value addition. Do you have any ETA on a version with that as a feature? I know you've mentioned other new features, up to and including scraping odds... my vote would be to concentrate on adding generally-useful model-focussed features (such as the co-variates) as a higher priority as there are a million scrapers and bookmakers, and its a widely-practised art -- whereas the bayesian craft is more thinly-distributed ;-) |
No beta versions right now, me and my collaborators are working on it😉
Anyway stay tuned, I am going to submit the new version of the footBayes package, 0.3.0, in these days, with new features and model choices.
Thanks a lot
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Da: fine-lemur ***@***.***>
Inviato: lunedì 7 agosto 2023 14:36
A: LeoEgidi/footBayes ***@***.***>
Cc: EGIDI LEONARDO ***@***.***>; Comment ***@***.***>
Oggetto: Re: [LeoEgidi/footBayes] extending the framework for additional variables (Issue #3)
helpful pointers. thanks. hello, learning curve! Co-variates would be top of my list of feature requests -- having a generalised way to explore that would be a very high-value addition. Do you have any ETA on a version with that as a feature? I know you've mentioned other new features, up to and including scraping odds... my vote would be to concentrate on adding generally-useful features (such as the co-variates) as a higher priority as there are a million scrapers and bookmakers, and its a widely-practised art -- whereas the bayesian craft is more thinly-distributed ;-)
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awesome. in time (almost) for the new season ;-) |
Hi -- nice encapsulation of popular models. Easy to work with.
What's the most straightforward way to keep the simplicity, but add in other variables -- for example game week, or externals like weather?
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