Description Usage Arguments Value Examples
View source: R/convoSPAT_summplot.R
Calculate three evaluation criteria – continuous rank probability score (CRPS), prediction mean square deviation ratio (pMSDR), and mean squared prediction error (MSPE) – comparing hold-out data and predictions.
1 | evaluate_CV(holdout.data, pred.mean, pred.SDs)
|
holdout.data |
Observed/true data that has been held out for model comparison. |
pred.mean |
Predicted mean values corresponding to the hold-out locations. |
pred.SDs |
Predicted standard errors corresponding to the hold-out locations. |
A list with the following components:
CRPS |
The CRPS averaged over all hold-out locations. |
MSPE |
The mean squared prediction error. |
pMSDR |
The prediction mean square deviation ratio. |
1 2 3 4 5 | ## Not run:
evaluate_CV( holdout.data = simdata$sim.data[holdout.index],
pred.mean = pred.NS$pred.means, pred.SDs = pred.NS$pred.SDs )
## End(Not run)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.