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-any)GraphMRcML_0.1.0.zip(r-4.6-any)GraphMRcML_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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-develOK99
source / vignettesOK147
linux-releaseOK149
macos-releaseOK217
macos-oldrelOK194
windows-develOK77
windows-releaseOK63
windows-oldrelOK57
wasm-releaseOK89

Exports:cML_estimate_OcML_estimate_random_OcML_SdTheta_OGenerate_PerturbGraph_EstimateGraph_PerturbGraph_Screenloglikmr_cML_DP_Omr_cML_Oplot_graphsubset_Graph_d1

Dependencies:clicpp11dplyrgenericsglueigraphlatticelifecyclemagrittrMASSMatrixpbmcapplypillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr