Package: GraphMRcML 0.1.0

Zhaotong Lin

GraphMRcML: Causal Network Inference via Mendelian Randomization with cML and Network Deconvolution

Combines Mendelian randomization (constrained maximum likelihood, cML) and network deconvolution for inference of causal networks from GWAS summary data, as described in Lin, Xue, and Pan (2023) <doi:10.1371/journal.pgen.1010762>.

Authors:Zhaotong Lin [aut, cre], Haoran Xue [aut], Wei Pan [aut]

GraphMRcML_0.1.0.tar.gz
GraphMRcML_0.1.0.zip(r-4.7)GraphMRcML_0.1.0.zip(r-4.6)GraphMRcML_0.1.0.zip(r-4.5)
GraphMRcML_0.1.0.tgz(r-4.6-any)GraphMRcML_0.1.0.tgz(r-4.5-any)
GraphMRcML_0.1.0.tar.gz(r-4.7-any)GraphMRcML_0.1.0.tar.gz(r-4.6-any)
GraphMRcML_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GraphMRcML/json (API)

# Install 'GraphMRcML' in R:
install.packages('GraphMRcML', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zhaotongl/graphmrcml/issues

On CRAN:

Conda:

2.43 score 9 stars 12 exports 21 dependencies

Last updated from:a094208265 (on refs/pull/2/head). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK148
linux-release-x86_64OK1252
macos-release-arm64OK81
macos-oldrel-arm64OK109
windows-develOK70
windows-releaseOK68
windows-oldrelOK62
wasm-releaseOK98

Exports:cML_estimate_OcML_estimate_random_OcML_SdTheta_OGenerate_PerturbGraph_EstimateGraph_PerturbGraph_Screenloglikmr_cML_DP_Omr_cML_Oplot_graphsubset_Graph_d1

Dependencies:clicpp11dplyrgenericsglueigraphlatticelifecyclemagrittrMASSMatrixpbmcapplypillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr