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Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2023) <doi:10.1101/2024.03.17.585412>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Version: | 2.0.0 |
Depends: | R (≥ 2.10) |
Imports: | copula, dplyr, graphics, ks, purrr, qvalue, Rcpp, stats, stringr, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2024-03-29 |
DOI: | 10.32614/CRAN.package.qch |
Author: | Tristan Mary-Huard [aut, cre], Annaig De Walsche [aut], Franck Gauthier [ctb] |
Maintainer: | Tristan Mary-Huard <tristan.mary-huard at agroparistech.fr> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | qch results |
Reference manual: | qch.pdf |
Package source: | qch_2.0.0.tar.gz |
Windows binaries: | r-devel: qch_2.0.0.zip, r-release: qch_2.0.0.zip, r-oldrel: qch_2.0.0.zip |
macOS binaries: | r-release (arm64): qch_2.0.0.tgz, r-oldrel (arm64): qch_2.0.0.tgz, r-release (x86_64): qch_2.0.0.tgz, r-oldrel (x86_64): qch_2.0.0.tgz |
Old sources: | qch archive |
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These binaries (installable software) and packages are in development.
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