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
DOI: 10.32614/CRAN.package.ConSpline
Author: Mary C Meyer
Maintainer: Mary C Meyer <meyer at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: ConSpline results


Reference manual: ConSpline.pdf


Package source: ConSpline_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ConSpline_1.2.tgz, r-oldrel (arm64): ConSpline_1.2.tgz, r-release (x86_64): ConSpline_1.2.tgz, r-oldrel (x86_64): ConSpline_1.2.tgz
Old sources: ConSpline archive


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