binary: Binary choice example
In bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models
Description
Usage
Arguments
Details
Value
Description
Functions for binary choice example in the vignette.
Usage
1
2
3
4
5
binary.f(P, data, priors)
binary.grad(P, data, priors)
binary.hess(P, data, priors)
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
Details
Hessian is sparse, and returned as a dgcMatrix object
Value
Log posterior density, gradient and Hessian.
bayesGDS documentation built on May 29, 2017, 11:26 p.m.
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Description Usage Arguments Details Value
Description
Functions for binary choice example in the vignette.
Usage
1 2 3 4 5 | binary.f(P, data, priors)
binary.grad(P, data, priors)
binary.hess(P, data, priors)
|
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 |
Details
Hessian is sparse, and returned as a dgcMatrix object
Value
Log posterior density, gradient and Hessian.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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