ssrnd: Multi-dimensional SSR model

In sisireg: Sign-Simplicity-Regression-Solver

Multi-dimensional SSR model

Description

Calculates the multi-dimensional SSR model

Usage

ssrnd(koord, dat, k = NULL, fn = NULL, iter = 1000)

Arguments

koord	data frame with n-dimensional coordinates.
dat	data frame with observations.
k	optional: maxumum run length for the model.
fn	optional: quantile for partial sums.
iter	optional: number of iterations for the numeric solver.

Value

df	data frame 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(300)
y <- rnorm(300)
xy <- data.frame(x=x, y=y)
z <-data.frame(z=rnorm(300) + atan2(x, y))
# Training
df_model <- ssrnd(xy, z)

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