Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Chong Gu
Title: Smoothing Spline ANOVA Models: R Package gss
Abstract: This document provides a brief introduction to the R package gss for nonparametric statistical modeling in a variety of problem settings including regression, density estimation, and hazard estimation. Functional ANOVA (analysis of variance) decompositions are built into models on product domains, and modeling and inferential tools are provided for tasks such as interval estimates, the “testing” of negligible model terms, the handling of correlated data, etc. The methodological background is outlined, and data analysis is illustrated using real-data examples.

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Paper: Smoothing Spline ANOVA Models: R Package gss     Download PDF (Downloads: 6820)
Supplements:
gss_2.1-2.tar.gz: R source package Download (Downloads: 357; 472KB)
v58i05.R: R example code from the paper Download (Downloads: 410; 8KB)
DOI: 10.18637/jss.v058.i05

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.