Package: hierinf 1.23.0
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_1.23.0.tar.gz
hierinf_1.23.0.zip(r-4.5)hierinf_1.23.0.zip(r-4.4)hierinf_1.23.0.zip(r-4.3)
hierinf_1.23.0.tgz(r-4.4-any)hierinf_1.23.0.tgz(r-4.3-any)
hierinf_1.23.0.tar.gz(r-4.5-noble)hierinf_1.23.0.tar.gz(r-4.4-noble)
hierinf_1.23.0.tgz(r-4.4-emscripten)hierinf_1.23.0.tgz(r-4.3-emscripten)
hierinf.pdf |hierinf.html✨
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-1.23.0(bioc 3.20)hierinf-1.22.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:31c94d154c
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 |
