gev.logscore: Compute the Log Score
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This takes a large sample from a predictive distribution
and computes the log score for a vector of observations, judging the
fit of predictive distributions.
Usage
1
gev.logscore(Y.obs, Y.samp)
Arguments
Y.obs
A vector of observed values
Y.samp
A large sample from the posterior predictive distribution.
Value
A scalar giving the mean log score over the observations
Author(s)
Alex Lenkoski <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 takes a large sample from a predictive distribution and computes the log score for a vector of observations, judging the fit of predictive distributions.
Usage
1 | gev.logscore(Y.obs, Y.samp)
|
Arguments
Y.obs |
A vector of observed values |
Y.samp |
A large sample from the posterior predictive distribution. |
Value
A scalar giving the mean log score over the observations
Author(s)
Alex Lenkoski <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.