Package: HIMA 2.3.1
HIMA: High-Dimensional Mediation Analysis
Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J, Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional Mediation Effects in Epigenetic Studies. Bioinformatics. (2016) <doi:10.1093/bioinformatics/btw351>. PMID: 27357171.
Authors:
HIMA_2.3.1.tar.gz
HIMA_2.3.1.zip(r-4.5)HIMA_2.3.1.zip(r-4.4)HIMA_2.3.1.zip(r-4.3)
HIMA_2.3.1.tgz(r-4.5-any)HIMA_2.3.1.tgz(r-4.4-any)HIMA_2.3.1.tgz(r-4.3-any)
HIMA_2.3.1.tar.gz(r-4.5-noble)HIMA_2.3.1.tar.gz(r-4.4-noble)
HIMA_2.3.1.tgz(r-4.4-emscripten)HIMA_2.3.1.tgz(r-4.3-emscripten)
HIMA.pdf |HIMA.html✨
HIMA/json (API)
NEWS
# Install 'HIMA' in R: |
install.packages('HIMA', repos = c('https://yinanzheng.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yinanzheng/hima/issues
- BinaryOutcome - Binary Outcome Dataset for HIMA Demo
- ContinuousOutcome - Continuous Outcome Dataset for HIMA Demo
- MicrobiomeData - Compositional Mediator Dataset for HIMA Demo
- QuantileData - Quantile Mediation Dataset for HIMA Demo
- SurvivalData - Survival Outcome Dataset for HIMA Demo
Last updated 2 months agofrom:4bfd911733. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 03 2025 |
R-4.5-win | OK | Mar 03 2025 |
R-4.5-mac | OK | Mar 03 2025 |
R-4.5-linux | OK | Mar 03 2025 |
R-4.4-win | OK | Mar 03 2025 |
R-4.4-mac | OK | Mar 03 2025 |
R-4.3-win | OK | Mar 03 2025 |
R-4.3-mac | OK | Mar 03 2025 |
Exports:himahima_classichima_dblassohima_efficienthima_microbiomehima_quantilehima_survival
Dependencies:clicodetoolscolorspaceconquerdoParallelfansifarverfdrtoolforeachggplot2glmnetgluegtablehdiHDMThommelisobanditeratorslabelinglarslatticelifecyclelinproglpSolvemagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmunsellncvregnlmepillarpkgconfigplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesscalregshapeSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
High-Dimensional Mediation Analysis for 'Omic' Data | HIMA-package |
Binary Outcome Dataset for HIMA Demo | BinaryOutcome |
Continuous Outcome Dataset for HIMA Demo | ContinuousOutcome |
High-dimensional Mediation Analysis | hima |
Classic high-dimensional mediation analysis | hima_classic |
High-dimensional mediation analysis with de-biased lasso penalty | hima_dblasso |
Efficient high-dimensional mediation analysis | hima_efficient |
High-dimensional mediation analysis for compositional microbiome data | hima_microbiome |
High-dimensional quantile mediation analysis | hima_quantile |
High-dimensional mediation analysis for survival data | hima_survival |
Compositional Mediator Dataset for HIMA Demo | MicrobiomeData |
Quantile Mediation Dataset for HIMA Demo | QuantileData |
Survival Outcome Dataset for HIMA Demo | SurvivalData |