LogLooPredProb: Leave-one-out predictive probability density Faster than...
In rudazhang/gpsr: Gaussian Process Subspace Regression
View source: R/GPSR-LOOCV-PDF.R
LogLooPredProb R Documentation
Leave-one-out predictive probability density
Faster than using LogDetLooCov() and LogDetCrossBox().
Description
Leave-one-out predictive probability density
Faster than using LogDetLooCov() and LogDetCrossBox().
Usage
LogLooPredProb(i, Kinv, logdetbreveBox, logdetcrossBoxi)
Arguments
i
index of left out parameter point
Kinv
inverse of correlation matrix
logdetbreveBox
log det of breveBox
logdetcrossBoxi
log det of crossBox_i, computed from LogDetCrossBox().
Note
Require global (XtX)
rudazhang/gpsr documentation built on March 11, 2023, 5:49 p.m.
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View source: R/GPSR-LOOCV-PDF.R
| LogLooPredProb | R Documentation |
Leave-one-out predictive probability density
Faster than using LogDetLooCov() and LogDetCrossBox().
Description
Leave-one-out predictive probability density
Faster than using LogDetLooCov() and LogDetCrossBox().
Usage
LogLooPredProb(i, Kinv, logdetbreveBox, logdetcrossBoxi)
Arguments
i |
index of left out parameter point |
Kinv |
inverse of correlation matrix |
logdetbreveBox |
log det of breveBox |
logdetcrossBoxi |
log det of crossBox_i, computed from |
Note
Require global (XtX)
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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