Package: WGCNA
Version: 1.74
Date: 2026-01-27
Title: Weighted Correlation Network Analysis
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>
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) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. 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: 2026-01-27 16:47:33 UTC; plangfelder
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]
Repository: CRAN
Date/Publication: 2026-01-30 06:10:44 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2026-02-15 04:43:02 UTC; windows
Archs: x64
