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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.
| 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 |
| Reference manual: | ConSpline.pdf |
| Package source: | ConSpline_1.2.tar.gz |
| Windows binaries: | r-devel: ConSpline_1.2.zip, r-release: ConSpline_1.2.zip, r-oldrel: ConSpline_1.2.zip |
| 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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