Package: mrclust 0.1.0

The package maintainer

mrclust: Identifying Clustered Heterogeneity in Mendelian Randomization Analyses

Performs likelihood based clustering on univariate observations with known uncertainty (via standard error data), whilst accounting for possible null and junk components in the sample.

Authors:Christopher Neal Foley

mrclust_0.1.0.tar.gz
mrclust_0.1.0.zip(r-4.5)mrclust_0.1.0.zip(r-4.4)mrclust_0.1.0.zip(r-4.3)
mrclust_0.1.0.tgz(r-4.5-any)mrclust_0.1.0.tgz(r-4.4-any)mrclust_0.1.0.tgz(r-4.3-any)
mrclust_0.1.0.tar.gz(r-4.5-noble)mrclust_0.1.0.tar.gz(r-4.4-noble)
mrclust_0.1.0.tgz(r-4.4-emscripten)mrclust_0.1.0.tgz(r-4.3-emscripten)
mrclust.pdf |mrclust.html
mrclust/json (API)

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

Bug tracker:https://github.com/cnfoley/mrclust/issues

Datasets:
  • DBP_CAD - Genetic association data from diastolic blood pressure (DBP) and coronary artery disease (CAD) GWAS.
  • PP_CAD - Genetic association data from pulse pressure (PP) and coronary artery disease (CAD) GWAS.
  • SBP_CAD - Genetic association data from systolic blood pressure (SBP) and coronary artery disease (CAD) GWAS.

On CRAN:

Conda:

2.92 score 15 stars 11 scripts 3 exports 89 dependencies

Last updated 3 years agofrom:039ed855bd. Checks:1 ERROR, 8 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesFAILMar 25 2025
R-4.5-winWARNINGMar 25 2025
R-4.5-macWARNINGMar 25 2025
R-4.5-linuxWARNINGMar 25 2025
R-4.4-winWARNINGMar 25 2025
R-4.4-macWARNINGMar 25 2025
R-4.4-linuxWARNINGMar 25 2025
R-4.3-winWARNINGMar 25 2025
R-4.3-macWARNINGMar 25 2025

Exports:mr_clust_empr_clusttwo_stage_plot

Dependencies:arrangementsaskpassbase64encbslibcachemclicodetoolscolorspacecpp11crosstalkcurldata.tableDEoptimRdigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2glmnetgluegmpgtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsiterpcjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmemoiseMendelianRandomizationmgcvmimemunsellnlmenumDerivopensslpillarpkgconfigplotlypromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrjsonrlangrmarkdownrobustbasesassscalesshapeSparseMstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml