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: