rmspe-bcgpfitpred-method: Calculate the Square Root of the Mean Squared Prediction...
In cbdavis33/bcgp: Bayesian Composite Gaussian Processes
Description
Usage
Arguments
Details
Value
See Also
Description
This calculates the square root of the mean squared prediction errer (RMSPE)
for the predictions in a bcgpfitpred object.
Usage
1
2
## S4 method for signature 'bcgpfitpred'
rmspe(object, truth)
Arguments
truth
A numeric vector of length n_{pred}
x
An instance of class bcgpfitpred
Details
In cases where we have test data, one measure of the accuracy of the
predictions is the RMSPE. It is calculated by
RMSPE = √{\frac{1}{n_{pred}}∑ ≤ft( \hat{y} - y \right)^2}
Value
A single number representing the RMSPE
See Also
bcgpfitpred
cbdavis33/bcgp documentation built on Oct. 1, 2019, 8:07 a.m.
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Description Usage Arguments Details Value See Also
Description
This calculates the square root of the mean squared prediction errer (RMSPE)
for the predictions in a bcgpfitpred object.
Usage
1 2 | ## S4 method for signature 'bcgpfitpred'
rmspe(object, truth)
|
Arguments
truth |
A numeric vector of length |
x |
An instance of class bcgpfitpred |
Details
In cases where we have test data, one measure of the accuracy of the predictions is the RMSPE. It is calculated by
RMSPE = √{\frac{1}{n_{pred}}∑ ≤ft( \hat{y} - y \right)^2}
Value
A single number representing the RMSPE
See Also
bcgpfitpred
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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