Package: WGCNA Version: 1.74 Date: 2026-01-27 Title: Weighted Correlation Network Analysis Maintainer: Peter Langfelder Depends: R (>= 3.0), dynamicTreeCut (>= 1.62), fastcluster Imports: stats, grDevices, utils, matrixStats (>= 0.8.1), Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, Rcpp (>= 0.11.0) Suggests: infotheo, entropy, minet LinkingTo: Rcpp ZipData: no License: GPL (>= 2) Authors@R: c(person(given = "Peter", family = "Langfelder", role = c("aut", "cre"), email = "Peter.Langfelder@gmail.com"), person(given = "Steve", family = "Horvath", role = "aut"), person(given = "Chaochao", family = "Cai", role = "aut"), person(given = "Jun", family = "Dong", role = "aut"), person(given = "Jeremy", family = "Miller", role = "aut"), person(given = "Lin", family = "Song", role = "aut"), person(given = "Andy", family = "Yip", role = "aut"), person(given = "Bin", family = "Zhang", role = "aut")) Description: Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) and Langfelder and Horvath (2008) . Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization. NeedsCompilation: yes Packaged: 2026-07-04 19:20:07 UTC; root Author: Peter Langfelder [aut, cre], Steve Horvath [aut], Chaochao Cai [aut], Jun Dong [aut], Jeremy Miller [aut], Lin Song [aut], Andy Yip [aut], Bin Zhang [aut] Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://plangfelder.r-universe.dev Date/Publication: 2026-01-30 06:10:44 UTC RemoteUrl: https://github.com/cran/WGCNA RemoteRef: HEAD RemoteSha: 61a2a7d38d88316d34bc75249cf1849cae33ab2e