Provides functions for implementingmulti-outcome regression tree-structured shrinkage with a spike-and-slab prior (ssMOReTreeS). Three different likelihoods corresponding to different generalized linear models are available: binary with logistic link, Poisson with log link, and Gaussian with identity link. Models are fit using variational inference (VI). Also performs spike-and-slab variable selection with the same three likelihoods.
Package details |
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Maintainer | |
License | CC0 |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
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