thin_chain: Thin MCMC Chain
In PaoloLuciano/bpwpm: Bayesian Piecewise Polinomial Model
Description
Usage
Arguments
Value
Examples
Description
Thins and eliminates the burn in period of the Gibbs Chain.
Usage
1
thin_chain(mcmc_chain, thin, burn_in)
Arguments
mcmc_chain
An MCMC Chain matrix. (draws * number of params)
thin
A thinning parameter for the MCMC Chain
burn_in
A burn in parameter for the MCMC Chain
Value
The thinned down version of the MCMC chain
Examples
1
(beta, 2, 2000)
PaoloLuciano/bpwpm documentation built on May 20, 2019, 4:25 p.m.
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.
Description Usage Arguments Value Examples
Description
Thins and eliminates the burn in period of the Gibbs Chain.
Usage
1 | thin_chain(mcmc_chain, thin, burn_in)
|
Arguments
mcmc_chain |
An MCMC Chain matrix. (draws * number of params) |
thin |
A thinning parameter for the MCMC Chain |
burn_in |
A burn in parameter for the MCMC Chain |
Value
The thinned down version of the MCMC chain
Examples
1 | (beta, 2, 2000)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.