Package: hierinf 1.31.0
Claude Renaux
hierinf: Hierarchical Inference
Tools to perform hierarchical inference for one or multiple studies / data sets based on high-dimensional multivariate (generalised) linear models. A possible application is to perform hierarchical inference for GWA studies to find significant groups or single SNPs (if the signal is strong) in a data-driven and automated procedure. The method is based on an efficient hierarchical multiple testing correction and controls the FWER. The functions can easily be run in parallel.
Authors:
hierinf_1.31.0.tar.gz
hierinf_1.31.0.zip(r-4.7)hierinf_1.31.0.zip(r-4.6)hierinf_1.31.0.zip(r-4.5)
hierinf_1.31.0.tgz(r-4.6-any)hierinf_1.31.0.tgz(r-4.5-any)
hierinf_1.31.0.tar.gz(r-4.7-any)hierinf_1.31.0.tar.gz(r-4.6-any)
hierinf_1.31.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hierinf/json (API)
| # Install 'hierinf' in R: |
| install.packages('hierinf', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- simGWAS - Simulated GWAS data set
On BioConductor:hierinf-1.31.0(bioc 3.24)hierinf-1.30.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
clusteringgenomewideassociationlinkagedisequilibriumregressionsnp
Last updated from:e9732418bc. Checks:1 WARNING, 3 NOTE, 2 OK, 4 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 149 | ||
| linux-devel-x86_64 | NOTE | 375 | ||
| source / vignettes | OK | 228 | ||
| linux-release-x86_64 | NOTE | 387 | ||
| macos-release-arm64 | ERROR | 199 | ||
| macos-oldrel-arm64 | NOTE | 233 | ||
| windows-devel | ERROR | 329 | ||
| windows-release | ERROR | 369 | ||
| windows-oldrel | ERROR | 336 | ||
| wasm-release | OK | 90 |
Exports:cluster_positioncluster_varcompute_r2multisplittest_hierarchytest_only_hierarchy
Dependencies:codetoolsfmsbforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build Hierarchical Tree based on Position | cluster_position |
| Build Hierarchical Tree based on Hierarchical Clustering | cluster_var |
| Compute R squared | compute_r2 |
| hierinf: Hierarchical Inference | hierinf-package hierinf |
| Multi-sample splitting | multisplit |
| Print Object of Class 'hierT' | print.hierT |
| Simulated GWAS data set | simGWAS |
| Hierarchical Testing | test_hierarchy |
| Hierarchical Testing | test_only_hierarchy |
