gev.process.results: Outputs some tables from the results of Spatial GEV MCMC run
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This take the output from a spatial GEV run and returns
some handy tables given posterior probabilities, effective sample
sizes, acceptance probabilities, etc.
Usage
1
gev.process.results(R, burn = 100)
Arguments
R
The output from the spatial.gev.bma function
burn
An optional burn-in amount to be discarded before forming results.
Value
Returns a number of tables.
Author(s)
Alex <alex@nr.no>
spatial.gev.bma documentation built on May 1, 2019, 6:34 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 Author(s)
Description
This take the output from a spatial GEV run and returns some handy tables given posterior probabilities, effective sample sizes, acceptance probabilities, etc.
Usage
1 | gev.process.results(R, burn = 100)
|
Arguments
R |
The output from the spatial.gev.bma function |
burn |
An optional burn-in amount to be discarded before forming results. |
Value
Returns a number of tables.
Author(s)
Alex <alex@nr.no>
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.