ConSpline: Partial Linear Least-Squares Regression using Constrained Splines

Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.

Version: 1.2
Depends: graphics, grDevices, stats, utils, coneproj (≥ 1.12)
Published: 2017-10-02
Author: Mary C Meyer
Maintainer: Mary C Meyer <meyer at stat.colostate.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: ConSpline results

Downloads:

Reference manual: ConSpline.pdf
Package source: ConSpline_1.2.tar.gz
Windows binaries: r-devel: ConSpline_1.2.zip, r-release: ConSpline_1.2.zip, r-oldrel: ConSpline_1.2.zip
OS X El Capitan binaries: r-release: ConSpline_1.2.tgz
OS X Mavericks binaries: r-oldrel: ConSpline_1.2.tgz
Old sources: ConSpline archive

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