Package: HIMA 2.2.2

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_2.2.2.tar.gz
HIMA_2.2.2.zip(r-4.5)HIMA_2.2.2.zip(r-4.4)HIMA_2.2.2.zip(r-4.3)
HIMA_2.2.2.tgz(r-4.4-any)HIMA_2.2.2.tgz(r-4.3-any)
HIMA_2.2.2.tar.gz(r-4.5-noble)HIMA_2.2.2.tar.gz(r-4.4-noble)
HIMA_2.2.2.tgz(r-4.4-emscripten)HIMA_2.2.2.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:

7 exports 21 stars 2.74 score 57 dependencies 3 mentions 17 scripts 263 downloads

Last updated 25 days agofrom:d691606140. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:dblassoHIMAeHIMAhimahima2microHIMAqHIMAsurvHIMA

Dependencies:clicodetoolscolorspaceconquerdoParallelfansifarverfdrtoolforeachggplot2glmnetgluegtablehdiHDMThommelisobanditeratorslabelinglarslatticelifecyclelinproglpSolvemagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmunsellncvregnlmepillarpkgconfigplyrquantregqvalueR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesscalregshapeSparseMstringistringrsurvivaltibbleutf8vctrsviridisLitewithr