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| bayesGDS-package | Functions to support implementation of the Braun and Damien (2013) Generalized Direct Sampling algorithm. |
| bayesGDS | Functions to support implementation of the Braun and Damien (2013) Generalized Direct Sampling algorithm. |
| demo.get.f | Functions for the binary choice example in the vignette. |
| demo.get.grad | Functions for the binary choice example in the vignette. |
| demo.get.hess.struct | Functions for the binary choice example in the vignette. |
| get.cutoffs | Draw thresholds for the accept-reject stage of the GDS sampling algorithm. |
| get.LML | Estimate log marginal likelihood of model |
| inv.logit | inverse logit function |
| inv.vech | inverse vech operator on a vector |
| logit | logit function |
| log_inv.logit | log of inverse logit function |
| sample.GDS | Collect draws from the target posterior distribution. |
| vech | vech operator on a square matrix |