ssrnd2NN: Near Neighborhood Estimator for Multi-dimensional SSR model

In sisireg: Sign-Simplicity-Regression-Solver

Near Neighborhood Estimator for Multi-dimensional SSR model

Description

Calculates the Near Neighborhood Estimator in a multi-dimensional SSR model

Usage

ssrnd2NN(X, Y, k, weighted=FALSE)

Arguments

X	matrix with n-dimensional coordinates.
Y	array with observations.
k	optional: maxumum run length for the model.
weighted	optional: flag if a weighted mean should be used.

Value

mdl	data list with the relevant model data.

Author(s)

Dr. Lars Metzner

References

Dr. Lars Metzner (2021) Adäquates Maschinelles Lernen. Independently Published.

Examples

# generate data
set.seed(1234)
x <- rnorm(400)
y <- rnorm(400)
z <- rnorm(400) + atan2(x, y)
X <- matrix(cbind(x, y), ncol = 2)
Y <- as.double(z)

# Training
mdl <- ssrnd2NN(X, Y, 10)

sisireg documentation built on Aug. 8, 2025, 7:03 p.m.