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: 1.1
Depends: graphics, grDevices, stats, utils, coneproj
Published: 2015-08-29
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_1.1.tar.gz
Windows binaries: r-devel: ConSpline_1.1.zip, r-release: ConSpline_1.1.zip, r-oldrel: ConSpline_1.1.zip
OS X Snow Leopard binaries: r-release: ConSpline_1.1.tgz, r-oldrel: ConSpline_1.0.tgz
OS X Mavericks binaries: r-release: ConSpline_1.1.tgz
Old sources: ConSpline archive