hisemi: Hierarchical Semiparametric Regression of Test Statistics

This package implements methods for hierarchical semiparametric regression models for test statistics. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates.

Version: 1.0-319
Depends: R (≥ 2.12)
Imports: Matrix , Iso (≥ 0.0-5), splines, fda
Suggests: multtest, qvalue, pi0
Enhances: stats, graphics
Published: 2013-08-31
Author: Long Qu
Maintainer: Long Qu <long.qu at wright.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: hisemi results

Downloads:

Reference manual: hisemi.pdf
Package source: hisemi_1.0-319.tar.gz
Windows binaries: r-devel: hisemi_1.0-319.zip, r-release: hisemi_1.0-319.zip, r-oldrel: hisemi_1.0-319.zip
OS X Snow Leopard binaries: r-release: hisemi_1.0-319.tgz, r-oldrel: hisemi_1.0-319.tgz
OS X Mavericks binaries: r-release: hisemi_1.0-319.tgz
Old sources: hisemi archive