ssr3d: 3-dimensional SSR model
In sisireg: Sign-Simplicity-Regression-Solver

ssr3d

R Documentation

3-dimensional SSR model

Description

Calculates the regression function for the 3-dimensional SSR-model.

Usage

ssr3d(koord, dat, k = NULL, fn = NULL, iter = 1000)

Arguments

`koord`	data frame with 2-dimensional coordinates.
`dat`	vector 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(900)
y <- rnorm(900)
xy <- data.frame(x=x, y=y)
z <- rnorm(900) + atan2(x, y)
# Training
df_model <- ssr3d(xy, z)

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