ssr3d {sisireg}

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)