Package: qch 2.0.0
qch: Query Composite Hypotheses
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.
Authors:
qch_2.0.0.tar.gz
qch_2.0.0.tar.gz(r-4.5-noble)qch_2.0.0.tar.gz(r-4.4-noble)
qch_2.0.0.tgz(r-4.4-emscripten)qch_2.0.0.tgz(r-4.3-emscripten)
qch.pdf |qch.html✨
qch/json (API)
# Install 'qch' in R: |
install.packages('qch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- PvalSets - Synthetic example to illustrate the main qch functions
- PvalSets_cor - Synthetic example to illustrate the main qch functions using gaussian copula
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:cbf2b368ab. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux-x86_64 | OK | Nov 25 2024 |
Exports:GetH1AtLeastGetH1EqualGetHconfigqch.fitqch.test
Dependencies:ADGofTestclicolorspacecopuladplyrfansifarverFNNgenericsggplot2gluegslgtableisobandkernlabKernSmoothkslabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigplyrpracmapsplinepurrrqvalueR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstablediststringistringrtibbletidyselectutf8vctrsviridisLitewithr