Description Usage Arguments Details Value
Performs cross-validation and calculates a number of performance metrics
1 2 3 4 |
object |
A |
The method performs leave-one-out cross-validation through rank-one downdates to a covariance matrix.
A list
with the following elements:
The predictive mean for each data point.
The predictive variance.
Root Mean Square Error of prediction, taking only the mean in consideration
Normalized RMSE: the squared difference is divided by the predictive variance.
Log Predictive Density.
Penalized LPD: includes a penalty based on how well the full covariance is approximated at each data point.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.