Description Usage Arguments Details Value

Functions for binary choice example in the vignette.

1 2 3 4 5 | ```
binary.f(P, data, priors)
binary.grad(P, data, priors)
binary.hess(P, data, priors)
``` |

`P` |
Numeric vector of length (N+1)*k. First N*k elements are heterogeneous coefficients. The remaining k elements are population parameters. |

`data` |
List of data matrices Y and X, and choice count integer T |

`priors` |
List of named matrices inv.Omega and inv.Sigma |

Hessian is sparse, and returned as a dgcMatrix object

Log posterior density, gradient and Hessian.

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