hisemi: Hierarchical Semiparametric Regression of Test Statistics

Methods for hierarchical semiparametric regression models for test statistics are implemented in this package. 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: 1.1-0
Depends: R (≥ 2.12)
Imports: Matrix , Iso (≥ 0.0-5), splines, fda, stats, graphics, methods
Suggests: multtest, qvalue, pi0
Published: 2017-07-09
Author: Long Qu
Maintainer: Long Qu <rtistician at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: hisemi results


Reference manual: hisemi.pdf
Package source: hisemi_1.1-0.tar.gz
Windows binaries: r-devel: hisemi_1.1-0.zip, r-release: hisemi_1.1-0.zip, r-oldrel: hisemi_1.1-0.zip
OS X El Capitan binaries: r-release: hisemi_1.1-0.tgz
OS X Mavericks binaries: r-oldrel: hisemi_1.1-0.tgz
Old sources: hisemi archive


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