DoubleCone-package: Test against a Parametric Function

In DoubleCone: Test Against Parametric Regression Function

Description

Given a response and predictors, the null hypothesis of a parametric regression function is tested versus a large-dimensional alternative in the form of a union of polyhedral convex cones.

Details

Package:	DoubleCone
Type:	Package
Version:	1.0
Date:	2013-10-24
License:	GPL-2 | GPL-3

The doubconetest function is the generic version. The user provides an irreducible constraint matrix that defines two convex cones; the intersection of the cones is the null space of the matrix. The function provides a p-value for the test that the expected value of a vector is in the null space using the double-cone alternative.

Given a vector y and a design matrix X, the agconst function performs a test of the null hypothesis that the expected value of y is constant versus the alternative that it is monotone (increasing or decreasing) in each of the predictors.

The function partlintest performs a test of a linear model versus a partial linear model, using a double-cone alternative.

Author(s)

Mary C Meyer and Bodhisattva Sen Maintainer: Mary C Meyer <[e-mail]>

References

TBA

DoubleCone documentation built on May 2, 2019, 1:09 p.m.