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.

AuthorMary C Meyer
Date of publication2015-08-29 13:14:55
MaintainerMary C Meyer <meyer@stat.colostate.edu>
LicenseGPL-2 | GPL-3
Version1.1

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Files

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

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