metropolis_sampler: Metropolis MC sampler
In ooelrich/OBBP: Oscar's BigBayes Package
View source: R/metropolis_sampler.R
Description
This function implements a simple Metropolis MCMC algorithm.
Usage
1
metropolis_sampler(dist, dist_args, start_vals, iter, burnin)
Arguments
dist
Distribution to draw from
dist_args
List of arguments needed for the posterior, in this
case it should be list(y = responde, x = covariates, length_scale, sigma_f, tau2)
start_vals
Starting values for the parameters
iter
Number of iterations the sampler will run
burnin
Number of iterations that will be discarded
ooelrich/OBBP documentation built on May 1, 2020, 6:23 a.m.
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View source: R/metropolis_sampler.R
Description
This function implements a simple Metropolis MCMC algorithm.
Usage
1 | metropolis_sampler(dist, dist_args, start_vals, iter, burnin)
|
Arguments
dist |
Distribution to draw from |
dist_args |
List of arguments needed for the posterior, in this case it should be list(y = responde, x = covariates, length_scale, sigma_f, tau2) |
start_vals |
Starting values for the parameters |
iter |
Number of iterations the sampler will run |
burnin |
Number of iterations that will be discarded |
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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