Package: hJAM 1.0.1

Lai Jiang

hJAM: Hierarchical Joint Analysis of Marginal Summary Statistics

Provides functions to implement a hierarchical approach which is designed to perform joint analysis of summary statistics using the framework of Mendelian Randomization or transcriptome analysis. Reference: Lai Jiang, Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). "A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis." <bioRxiv><doi:10.1101/2020.02.03.924241>.

Authors:Lai Jiang <[email protected]>

hJAM_1.0.1.tar.gz
hJAM_1.0.1.zip(r-4.5)hJAM_1.0.1.zip(r-4.4)hJAM_1.0.1.zip(r-4.3)
hJAM_1.0.1.tgz(r-4.4-any)hJAM_1.0.1.tgz(r-4.3-any)
hJAM_1.0.1.tar.gz(r-4.5-noble)hJAM_1.0.1.tar.gz(r-4.4-noble)
hJAM_1.0.1.tgz(r-4.4-emscripten)hJAM_1.0.1.tgz(r-4.3-emscripten)
hJAM.pdf |hJAM.html✨
hJAM/json (API)

Peer review:

Bug tracker:https://github.com/uscbiostats/hjam/issues

On CRAN:

14 exports 9 stars 1.91 score 53 dependencies 5 scripts 146 downloads

Last updated 8 months agofrom:a15efa0fcc. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:EN.hJAMhJAMhJAM_eggerJAM_AJAM_alphasmJAM_ForwardmJAM_SuSiEmJAM_SuSiE_get_csoutput.formatSHAJAMSNPs_heatmapSNPs_scatter_plotsusieJAM_AsusieJAM_alphas

Dependencies:clicodetoolscolorspacecrayondplyrfansifarverforeachgenericsggplot2glmnetgluegmpgtableirlbaisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmatrixStatsmgcvmixsqpmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloRcppEigenreshapereshape2rlangRmpfrscalesshapestringistringrsurvivalsusieRtibbletidyselectutf8vctrsviridisLitewithr