Package: hJAM 1.0.0
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:
hJAM_1.0.0.tar.gz
hJAM_1.0.0.zip(r-4.7)hJAM_1.0.0.zip(r-4.6)hJAM_1.0.0.zip(r-4.5)
hJAM_1.0.0.tgz(r-4.6-any)hJAM_1.0.0.tgz(r-4.5-any)
hJAM_1.0.0.tar.gz(r-4.7-any)hJAM_1.0.0.tar.gz(r-4.6-any)
hJAM_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hJAM/json (API)
| # Install 'hJAM' in R: |
| install.packages('hJAM', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lailylajiang/hjam/issues
- betas.Gy - Example beta list of hJAM
- conditional_A - Example conditional A matrix of hJAM
- Gl - Example reference data of hJAM
- marginal_A - Example marginal A matrix of hJAM
- SNPs_info - Example SNPs' information of hJAM
Last updated from:11b59d5682 (on package/hJAM). Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 212 | ||
| source / vignettes | OK | 204 | ||
| linux-release-x86_64 | OK | 144 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 101 | ||
| windows-devel | OK | 121 | ||
| windows-release | OK | 108 | ||
| windows-oldrel | OK | 113 | ||
| wasm-release | OK | 111 |
Exports:get_cond_Aget_cond_alphahJAM_eggerhJAM_lnregoutput.formatSNPs_heatmapSNPs_scatter_plot
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasreshape2rlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example beta list of hJAM | betas.Gy |
| Example conditional A matrix of hJAM | conditional_A |
| Compute conditional Z matrix | get_cond_A |
| Compute conditional alphas | get_cond_alpha |
| Example reference data of hJAM | Gl |
| Fit hJAM with Egger regression | hJAM_egger |
| Fit hJAM with linear regression | hJAM_lnreg |
| Example marginal A matrix of hJAM | marginal_A |
| Keep the output as three digits | output.format |
| Print out for hJAM_egger | print.hJAM_egger |
| Print out for hJAM_lnreg | print.hJAM_lnreg |
| Heatmap for all the SNPs used in the analysis | SNPs_heatmap |
| Example SNPs' information of hJAM | SNPs_info |
| Scatter plot for all the SNPs used in the analysis | SNPs_scatter_plot |
