NNS.distance: NNS Distance
In NNS: Nonlinear Nonparametric Statistics
NNS.distance R Documentation
NNS Distance
Description
Internal kernel function for NNS multivariate regression NNS.reg parallel instances.
Usage
NNS.distance(rpm, dist.estimate, type, k, class)
Arguments
rpm
REGRESSION.POINT.MATRIX from NNS.reg
dist.estimate
Vector to generate distances from.
type
"L1", "L2" or "FACTOR"
k
n.best from NNS.reg
class
if classification problem.
Value
Returns sum of weighted distances.
NNS documentation built on Nov. 28, 2023, 1:10 a.m.
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| NNS.distance | R Documentation |
NNS Distance
Description
Internal kernel function for NNS multivariate regression NNS.reg parallel instances.
Usage
NNS.distance(rpm, dist.estimate, type, k, class)
Arguments
rpm |
REGRESSION.POINT.MATRIX from NNS.reg |
dist.estimate |
Vector to generate distances from. |
type |
"L1", "L2" or "FACTOR" |
k |
|
class |
if classification problem. |
Value
Returns sum of weighted distances.
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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