Package: HIMA 2.3.0

Yinan Zheng

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://epiverse-connect.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:

5.90 score 22 stars 20 scripts 353 downloads 3 mentions 7 exports 57 dependencies

Last updated 3 days agofrom:6fb8b48079. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 19 2024
R-4.5-winOKOct 19 2024
R-4.5-linuxOKOct 19 2024
R-4.4-winOKOct 19 2024
R-4.4-macOKOct 19 2024
R-4.3-winOKOct 19 2024
R-4.3-macOKOct 19 2024

Exports:classicHIMAdblassoHIMAeHIMAhimaFitmicroHIMAqHIMAsurvHIMA

Dependencies:clicodetoolscolorspaceconquerdoParallelfansifarverfdrtoolforeachggplot2glmnetgluegtablehdiHDMThommelisobanditeratorslabelinglarslatticelifecyclelinproglpSolvemagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmunsellncvregnlmepillarpkgconfigplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesscalregshapeSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr