sisireg (version 1.1.2)

ssr3d: 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)

Value

df

data frame with the relevant model data.

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.

Author

Dr. Lars Metzner

References

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

Examples

# \donttest{
# 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)
# }