knnSURF: knnSURF
In insilico/glmSTIR: Nearest-neighbor Projected-Distance Regression
knnSURF R Documentation
knnSURF
Description
Theoretical value for the number of expected neighbors for SURF or multiSURF
Usage
knnSURF(m.samples, sd.frac = 0.5)
Arguments
m.samples
number of samples in data.
sd.frac
fraction of the standard deviation from the mean of all pairwise distances, dead-band. The default value used by the SURF and multiSURF algorithms is 1/2.
Value
knn Number of neighbors.
Examples
k.surf <- knnSURF(200, .5)
insilico/glmSTIR documentation built on July 7, 2023, 12:29 a.m.
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| knnSURF | R Documentation |
knnSURF
Description
Theoretical value for the number of expected neighbors for SURF or multiSURF
Usage
knnSURF(m.samples, sd.frac = 0.5)
Arguments
m.samples |
number of samples in data. |
sd.frac |
fraction of the standard deviation from the mean of all pairwise distances, dead-band. The default value used by the SURF and multiSURF algorithms is 1/2. |
Value
knn Number of neighbors.
Examples
k.surf <- knnSURF(200, .5)
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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