gp.get.mcmc: get posterior summary for MCMC samples
In GPBayes: Tools for Gaussian Process Modeling in Uncertainty Quantification
gp.get.mcmc R Documentation
get posterior summary for MCMC samples
Description
This function processes posterior samples in the gp object.
Usage
gp.get.mcmc(obj, burnin = 500)
Arguments
obj
a gp object
burnin
a numerical value specifying the burn-in period for calculating posterior summaries.
Value
a list of posterior summaries
See Also
GPBayes-package, GaSP, gp, gp.mcmc
GPBayes documentation built on May 29, 2024, 7:30 a.m.
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| gp.get.mcmc | R Documentation |
get posterior summary for MCMC samples
Description
This function processes posterior samples in the gp object.
Usage
gp.get.mcmc(obj, burnin = 500)
Arguments
obj |
a |
burnin |
a numerical value specifying the burn-in period for calculating posterior summaries. |
Value
a list of posterior summaries
See Also
GPBayes-package, GaSP, gp, gp.mcmc
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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