ptycho: Bayesian Variable Selection with Hierarchical Priors
Bayesian variable selection for linear regression models using hierarchical
priors. There is a prior that combines information across responses and one
that combines information across covariates, as well as a standard spike and
slab prior for comparison. An MCMC samples from the marginal posterior
distribution for the 0-1 variables indicating if each covariate belongs to the
model for each response.
| Version: |
1.1-4 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
coda, plyr, reshape2 |
| Suggests: |
foreach, doRNG |
| Published: |
2015-11-12 |
| Author: |
Laurel Stell and Chiara Sabatti |
| Maintainer: |
Laurel Stell <lstell at stanford.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
web.stanford.edu/~lstell/ptycho/ |
| NeedsCompilation: |
no |
| CRAN checks: |
ptycho results |
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