Package: HIMA 2.3.3
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, Hou L, Liu L, HIMA: An R Package for High-Dimensional Mediation Analysis. Journal of Data Science. (2025). <doi:10.6339/25-JDS1192>.
Authors:
HIMA_2.3.3.tar.gz
HIMA_2.3.3.zip(r-4.7)HIMA_2.3.3.zip(r-4.6)HIMA_2.3.3.zip(r-4.5)
HIMA_2.3.3.tgz(r-4.6-any)HIMA_2.3.3.tgz(r-4.5-any)
HIMA_2.3.3.tar.gz(r-4.7-any)HIMA_2.3.3.tar.gz(r-4.6-any)
HIMA_2.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HIMA/json (API)
| # 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
- SurvivalLongData - Longitudinal Mediators with Survival Outcome Dataset for HIMA Demo
Last updated from:784a07fc4b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 176 | ||
| source / vignettes | OK | 193 | ||
| linux-release-x86_64 | OK | 176 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 97 | ||
| windows-devel | OK | 114 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 126 | ||
| wasm-release | OK | 155 |
Exports:himahima_classichima_dblassohima_efficienthima_microbiomehima_quantilehima_survivalhima_survival_long
Dependencies:clicodetoolsconquercpp11doParallelfarverfdrtoolforeachggplot2glmnetgluegtablehdiHDMThommelisobanditeratorslabelinglarslatticelifecyclelinproglpSolvemagrittrMASSMatrixMatrixModelsmatrixStatsncvregnlmeplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangS7scalesscalregshapeSparseMstringistringrsurvivalvctrsviridisLitewithr
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 outcome data | hima_survival |
| High-dimensional mediation analysis for longitudinal mediator and survival outcome data | hima_survival_long |
| Compositional Mediator Dataset for HIMA Demo | MicrobiomeData |
| Quantile Mediation Dataset for HIMA Demo | QuantileData |
| Survival Outcome Dataset for HIMA Demo | SurvivalData |
| Longitudinal Mediators with Survival Outcome Dataset for HIMA Demo | SurvivalLongData |
