Introduction | Package Overview | Data Preparation and Settings | hima Function Interface | 1. Formula Argument (formula) | 2. Phenotype Data (data.pheno) | 3. Mediator Data (data.M) | 4. About data scaling | Parallel Computing Support | Enabling Parallel Computing | Applications and Examples | Load the HIMA Package | Continuous Outcome Analysis | Efficient HIMA | Binary Outcome Analysis | Survival Outcome Analysis | Longitudinal Mediators with Survival Outcomes | Microbiome Mediation Analysis | Quantile Mediation Analysis
Package: HIMA 2.3.4
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_2.3.4.tar.gz
HIMA_2.3.4.zip(r-4.7-any)HIMA_2.3.4.zip(r-4.6-any)HIMA_2.3.4.zip(r-4.5-any)
HIMA_2.3.4.tgz(r-4.6-any)HIMA_2.3.4.tgz(r-4.5-any)
HIMA_2.3.4.tar.gz(r-4.7-any)HIMA_2.3.4.tar.gz(r-4.6-any)
HIMA_2.3.4.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
Datasets:
- 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:2cf45669aa. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 258 | ||
| source / vignettes | OK | 230 | ||
| linux-release | OK | 289 | ||
| macos-release | OK | 346 | ||
| macos-oldrel | OK | 335 | ||
| windows-devel | OK | 279 | ||
| windows-release | OK | 250 | ||
| windows-oldrel | OK | 204 | ||
| wasm-release | OK | 136 |
Exports:himahima_classichima_dblassohima_efficienthima_microbiomehima_quantilehima_survivalhima_survival_long
Dependencies:clicodetoolsconquercpp11doParallelfarverfdrtoolforeachggplot2glmnetgluegtableHDMThommelisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmatrixStatsncvregnlmeplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangS7scalesshapeSparseMstringistringrsurvivalvctrsviridisLitewithr
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 |