thin_chain: Thin MCMC Chain
In PaoloLuciano/bpwpm2: Bayesian Piece-wise Polynomial Package
Description
Usage
Arguments
Value
Examples
Description
Thins and eliminates the burn in period of the Gibbs Chain.
Usage
1
thin_chain(mcmc_chain, burn_in, thin)
Arguments
mcmc_chain
An MCMC Chain matrix. (draws * number of params)
burn_in
A burn in parameter for the MCMC Chain
thin
A thinning parameter for the MCMC Chain
Value
The thinned down version of the MCMC chain
Examples
1
(beta, 2, 2000)
PaoloLuciano/bpwpm2 documentation built on June 6, 2019, 5:47 p.m.
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Description Usage Arguments Value Examples
Description
Thins and eliminates the burn in period of the Gibbs Chain.
Usage
1 | thin_chain(mcmc_chain, burn_in, thin)
|
Arguments
mcmc_chain |
An MCMC Chain matrix. (draws * number of params) |
burn_in |
A burn in parameter for the MCMC Chain |
thin |
A thinning 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.
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