fastbaps
A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data (by gtonkinhill)
bayesian
Bindings for Bayesian TidyModels (by hsbadr)
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| fastbaps | bayesian | |
|---|---|---|
| - | 1 | |
| 51 | 42 | |
| - | - | |
| 0.0 | 7.7 | |
| over 1 year ago | 6 days ago | |
| R | R | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fastbaps
Posts with mentions or reviews of fastbaps.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning fastbaps yet.
Tracking mentions began in Dec 2020.
bayesian
Posts with mentions or reviews of bayesian.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-17.
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How do you train a Bayesian model
There's MLMod and Bayesian which are TidyModels wrappers for stan_glm and brms (brms is my go to) but I haven't seen anything that indicates how to tune them.
What are some alternatives?
When comparing fastbaps and bayesian you can also consider the following projects:
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
multilevelmod - Parsnip wrappers for mixed-level and hierarchical models
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan