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In bayeslm: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors
bayeslm-package R Documentation
Efficient sampling for Gaussian linear regression with arbitrary priors
Description
The elliptical slice sampler for Bayesian linear regression with shrinakge priors such as horseshoe, Laplace prior, ridge prior.
Author(s)
P. Richard Hahn, Jingyu He and Hedibert Lopes
Maintainer: Jingyu He jingyuhe@cityu.edu.hk
References
Hahn, P. Richard, Jingyu He, and Hedibert Lopes. Efficient sampling for Gaussian linear regression with arbitrary priors (2017).
See Also
bayeslm
bayeslm documentation built on June 28, 2022, 1:05 a.m.
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| bayeslm-package | R Documentation |
Efficient sampling for Gaussian linear regression with arbitrary priors
Description
The elliptical slice sampler for Bayesian linear regression with shrinakge priors such as horseshoe, Laplace prior, ridge prior.
Author(s)
P. Richard Hahn, Jingyu He and Hedibert Lopes
Maintainer: Jingyu He jingyuhe@cityu.edu.hk
References
Hahn, P. Richard, Jingyu He, and Hedibert Lopes. Efficient sampling for Gaussian linear regression with arbitrary priors (2017).
See Also
bayeslm
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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