binary: Binary choice example

Description Usage Arguments Details Value

Description

Functions for binary choice example in the vignette.

Usage

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binary.f(P, data, priors, order.row = FALSE)

binary.grad(P, data, priors, order.row = FALSE)

binary.hess(P, data, priors, order.row = FALSE)

Arguments

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

order.row

Determines order of heterogeneous coefficients in parameter vector. Affects sparsity pattern of Hessian. See vignette.

Details

Hessian is sparse, and returned as a dgcMatrix object

Value

Log posterior density, gradient and Hessian.


braunm/trustOptim documentation built on Oct. 8, 2021, 10:58 a.m.