sisireg

Sign-Simplicity-Regression-Solver

v1.2.1 · Jul 9, 2025 · GPL (>= 2)

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").

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14 OK

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	84.7s
r-devel-linux-x86_64-debian-gcc	OK	61.2s
r-devel-linux-x86_64-fedora-clang	OK	130.2s
r-devel-linux-x86_64-fedora-gcc	OK	127.5s
r-devel-macos-arm64	OK	24s
r-devel-windows-x86_64	OK	132s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	91s
r-oldrel-windows-x86_64	OK	128s
r-patched-linux-x86_64	OK	79.7s
r-release-linux-x86_64	OK	77.3s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	72s
r-release-windows-x86_64	OK	102s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Version History

new 1.2.1 Mar 10, 2026

updated 1.2.1 ← 1.1.2 diff Jul 8, 2025

updated 1.1.2 ← 1.1.1 diff Dec 12, 2024

updated 1.1.1 ← 1.1.0 diff Sep 19, 2023

updated 1.1.0 ← 1.0.0 diff Sep 6, 2023

updated 1.0.0 ← 0.9.1 diff Jan 3, 2022

updated 0.9.1 ← 0.9.0 diff Apr 8, 2021

updated 0.9.0 ← 0.8.1 diff Mar 31, 2021

updated 0.8.1 ← 0.8.0 diff Jan 24, 2021

updated 0.8.0 ← 0.7.0 diff Jan 21, 2021

new 0.7.0 Jan 13, 2021