ssrnd2 {sisireg} | R Documentation |
Multi-dimensional SSR model - reworked
Description
Calculates the multi-dimensional SSR model
Usage
ssrnd2(X, Y, mdl=NULL, k=NULL, fn=NULL, n_l1=NULL, iter=1000, eps=0.0001)
Arguments
X |
matrix with n-dimensional coordinates. |
Y |
array with observations. |
mdl |
optional: model from previous training. |
k |
optional: maxumum run length for the model. |
fn |
optional: quantile for partial sums. |
n_l1 |
optional: subset size for L1 curvature calculation. |
iter |
optional: number of iterations for the numeric solver. |
eps |
optional: delta for ending calculation iteration. |
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 <- ssrnd2(X, Y)
[Package sisireg version 1.2.1 Index]