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 |
Documentation:
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