Added more questions nin FAQ #881
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Adding piecewise regression examples in example docs
Added more questions for FAQ.
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I don't think this should be added in the README as there is already a minimal example there. I would make another PR specifically demonstrating how to use Bambi for piecewise regression in a Jupyter notebook.
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ok;)
Should I close this PR then?
| prior that doesn't cover the domain of the data such as using a HalfNormal prior for a | ||
| parameter that can be negative). | ||
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| ## Model Specification Questions | ||
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| ### My data has a non-normal distributions, can I still use Bambi? |
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Do you plan on answering this question?
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Which one?
Are you asking for this one - "My data has a non-normal distributions, can I still used Bambi?"
| Bayesian modelling allows graceful handling of small sample sizes by judicious use of | ||
| prior distributions. | ||
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| ### |
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Do you plan on adding another section here?
| @@ -33,6 +43,18 @@ Yes, Bambi supports inference on GPUs and TPUs using the numpyro and blackjax ba | |||
| See the API for "fit" method for more details | |||
| [here](https://bambinos.github.io/bambi/api/Model.html#bambi.Model.fit). | |||
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| ### My sampler through errors/indicating divergences, what should I do? | |||
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I am not sure this deserves an FAQ. This is a more general question regarding sampling. Not necessarily specific to Bambi.
| @@ -14,7 +14,17 @@ inference. | |||
| * PyMC is a library for Bayesian modelling, and is the backend used by Bambi. | |||
| It is a very powerful library, but can be challenging to use for beginners. | |||
| Bambi provides a simple interface for specifying models, and allows for easy inference via | |||
| MCMC or variational inference using PyMC. | |||
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| ### Why have a Bayesian regression library? | |||
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I am not sure about including this section in the FAQ. Yes, it is related to Bambi, but it is more asking a question of what the right level of abstraction is.
Addresses #644
Questions for FAQ.
Thank your for opening a PR!
Before you proceed, please check the following notes.
requirements.txt,requirements-dev.txt, etc.)black.pylint.