Package: sisireg
Title: Sign-Simplicity-Regression-Solver
Version: 1.2.1
Authors@R: 
    person(given = "Lars",
           family = "Metzner",
           role = c("aut", "cre"),
           email = "lars.metzner@ppi.de")
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").
License: GPL (>= 2)
Encoding: UTF-8
Imports: zoo, reticulate
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2026-10-16 09:39:11 UTC; root
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-07-09 09:30:02 UTC
RemoteUrl: https://github.com/cran/sisireg
RemoteRef: HEAD
RemoteSha: 2b039f6e271a3dc21868a478b6467d851395a8c3