Package: netgwas Type: Package Title: Network-Based Genome Wide Association Studies Version: 1.14.5 Authors@R: c(person(given = "Pariya", family = "Behrouzi", role = c("aut", "cre"), email = "pariya.behrouzi@gmail.com", comment = c(ORCID = "0000-0001-6762-5433")), person(given = "Ernst", family = "C. Wit", role = "ctb")) Depends: R (>= 3.1.0) Imports: Matrix(>= 1.4-1), igraph, qtl, parallel, methods, glasso, MASS, huge,tmvtnorm Suggests: testthat Description: A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype- phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) and Behrouzi and Wit (2017) . License: GPL-3 Encoding: UTF-8 NeedsCompilation: no Packaged: 2026-10-10 14:24:45 UTC; root Author: Pariya Behrouzi [aut, cre] (ORCID: ), Ernst C. Wit [ctb] Maintainer: Pariya Behrouzi Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://pariya.r-universe.dev Date/Publication: 2026-05-04 15:26:03 UTC RemoteUrl: https://github.com/cran/netgwas RemoteRef: HEAD RemoteSha: 99df9dd41baf45c555df97733471b2d6d0363b91