Package: HIMA 2.3.0

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:Yinan Zheng [aut, cre], Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]

HIMA_2.3.0.tar.gz
HIMA_2.3.0.zip(r-4.5)HIMA_2.3.0.zip(r-4.4)HIMA_2.3.0.zip(r-4.3)
HIMA_2.3.0.tgz(r-4.4-any)HIMA_2.3.0.tgz(r-4.3-any)
HIMA_2.3.0.tar.gz(r-4.5-noble)HIMA_2.3.0.tar.gz(r-4.4-noble)
HIMA_2.3.0.tgz(r-4.4-emscripten)HIMA_2.3.0.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'))

Peer review:

Bug tracker:https://github.com/yinanzheng/hima/issues

Datasets:
  • himaDat - Example datasets for HIMA demo

On CRAN:

6.04 score 22 stars 21 scripts 344 downloads 3 mentions 7 exports 57 dependencies

Last updated 26 days agofrom:2708166bd2. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winOKOct 28 2024
R-4.5-linuxOKOct 28 2024
R-4.4-winOKOct 28 2024
R-4.4-macOKOct 28 2024
R-4.3-winOKOct 28 2024
R-4.3-macOKOct 28 2024

Exports:classicHIMAdblassoHIMAeHIMAhimaFitmicroHIMAqHIMAsurvHIMA

Dependencies:clicodetoolscolorspaceconquerdoParallelfansifarverfdrtoolforeachggplot2glmnetgluegtablehdiHDMThommelisobanditeratorslabelinglarslatticelifecyclelinproglpSolvemagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmunsellncvregnlmepillarpkgconfigplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesscalregshapeSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr