gibbsBLasso: Gibbs Sampler for Bayesian Lasso
In volkerschmid/bayeskurs: Bayes-Kurs
Description
Usage
Arguments
Value
Author(s)
Source
Examples
Description
Gibbs Sampler for Bayesian Lasso
Usage
1
gibbsBLasso(x, y, max.steps = 1e+05)
Arguments
x
Desing matrix
y
Data
max.steps
Number of iterations
Value
Vector of posterior median beta
Author(s)
Pu Wang, George Mason University, Fairfax, USA
Source
https://cs.gmu.edu/~pwang7/gibbsBLasso.html
Examples
1
2
3
4
5
library(lars)
data(diabetes)
x <- scale(diabetes$x)
y <- scale(diabetes$y)
betas <- gibbsBLasso(x, y, max.steps = 100000)
volkerschmid/bayeskurs documentation built on Dec. 23, 2021, 4:10 p.m.
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Description Usage Arguments Value Author(s) Source Examples
Description
Gibbs Sampler for Bayesian Lasso
Usage
1 | gibbsBLasso(x, y, max.steps = 1e+05)
|
Arguments
x |
Desing matrix |
y |
Data |
max.steps |
Number of iterations |
Value
Vector of posterior median beta
Author(s)
Pu Wang, George Mason University, Fairfax, USA
Source
https://cs.gmu.edu/~pwang7/gibbsBLasso.html
Examples
1 2 3 4 5 | library(lars)
data(diabetes)
x <- scale(diabetes$x)
y <- scale(diabetes$y)
betas <- gibbsBLasso(x, y, max.steps = 100000)
|
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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