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sisireg  

Sign-Simplicity-Regression-Solver
View on CRAN: Click here


Download and install sisireg package within the R console
Install from CRAN:
install.packages("sisireg")

Install from Github:
library("remotes")
install_github("cran/sisireg")

Install by package version:
library("remotes")
install_version("sisireg", "1.1.2")



Attach the package and use:
library("sisireg")
Maintained by
Lars Metzner
[Scholar Profile | Author Map]
First Published: 2021-01-14
Latest Update: 2023-09-20
Description:
Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
How to cite:
Lars Metzner (2021). sisireg: Sign-Simplicity-Regression-Solver. R package version 1.1.2, https://cran.r-project.org/web/packages/sisireg. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.7.0 (2021-01-14 10:40), 0.8.0 (2021-01-22 08:20), 0.8.1 (2021-01-25 18:40), 0.9.0 (2021-04-01 09:30), 0.9.1 (2021-04-09 15:20), 1.0.0 (2022-01-04 12:30), 1.1.0 (2023-09-07 17:20), 1.1.1 (2023-09-20 15:50)
Other packages that cited sisireg R package
View sisireg citation profile
Other R packages that sisireg depends, imports, suggests or enhances
Complete documentation for sisireg
Functions, R codes and Examples using the sisireg R package
Some associated functions: axe . axe_narch_model . axe_narch_predict . fii_model . fii_prediction . onnx_load . onnx_save . psplot . psplot3d . psplotnd . psvalid . runvalid . snarch . ssr . ssr3d . ssr3d_predict . ssr_predict . ssrmlp_predict . ssrmlp_train . ssrnd . ssrnd_predict . tauM . 
Some associated R codes: axe.R . narch.R . onnx.R . snarch.R . ssr.R . ssr3d.R . ssrMLP.R . ssrnd.R . tauM.R .  Full sisireg package functions and examples
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