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 |

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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