mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models (original) (raw)
Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.
| Version: | 0.1-9 |
|---|---|
| Depends: | R (≥ 2.9.0), BMA, abind, maxLik |
| Suggests: | mlogit |
| Published: | 2024-10-17 |
| DOI: | 10.32614/CRAN.package.mlogitBMA |
| Author: | Hana Sevcikova [aut, cre], Adrian Raftery [aut] |
| Maintainer: | Hana Sevcikova |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | |
| In views: | Bayesian |
| CRAN checks: | mlogitBMA results |
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