ConSpline: Partial Linear Least-Squares Regression using Constrained Splines

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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.

Author
Mary C Meyer
Date of publication
2015-08-29 13:14:55
Maintainer
Mary C Meyer <meyer@stat.colostate.edu>
License
GPL-2 | GPL-3
Version
1.1

View on CRAN

Man pages

conspline
Partial Linear Least-Squares with Constrained Regression...
ConSpline-package
Partial Linear Least-squares Regression with Constrained...
GAVoting
Voting Data for Counties in Georgia, for the 2000 U.S....
WhiteSpruce
Height and Diameter of 36 White Spruce trees.

Files in this package

ConSpline
ConSpline/NAMESPACE
ConSpline/data
ConSpline/data/GAVoting.rda
ConSpline/data/WhiteSpruce.rda
ConSpline/R
ConSpline/R/conspline.R
ConSpline/R/concave.R
ConSpline/R/convex.R
ConSpline/R/monincr.R
ConSpline/MD5
ConSpline/DESCRIPTION
ConSpline/man
ConSpline/man/WhiteSpruce.Rd
ConSpline/man/GAVoting.Rd
ConSpline/man/conspline.Rd
ConSpline/man/ConSpline-package.Rd