applyThin: (Internal) Thin a MCMC chain
In choi-phd/TestDesign: Optimal Test Design Approach to Fixed and Adaptive Test Construction
View source: R/bayes_functions.R
applyThin R Documentation
(Internal) Thin a MCMC chain
Description
applyThin is an internal function for
thinning a Markov chain. Burn-in is also applied.
Usage
applyThin(posterior_sample, bayesian_constants)
Arguments
posterior_sample
a vector containing values in a Markov chain.
bayesian_constants
a named list containing Bayesian constants.
Value
applyThin returns an updated Markov chain.
choi-phd/TestDesign documentation built on Oct. 1, 2024, 2:37 a.m.
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View source: R/bayes_functions.R
| applyThin | R Documentation |
(Internal) Thin a MCMC chain
Description
applyThin is an internal function for
thinning a Markov chain. Burn-in is also applied.
Usage
applyThin(posterior_sample, bayesian_constants)
Arguments
posterior_sample |
a vector containing values in a Markov chain. |
bayesian_constants |
a named list containing Bayesian constants. |
Value
applyThin returns an updated Markov chain.
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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