The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.
Version: | 1.14.3 |
Depends: | R (≥ 3.1.0) |
Imports: | Matrix (≥ 1.4-1), igraph, qtl, parallel, methods, glasso, MASS, huge, tmvtnorm |
Suggests: | testthat |
Published: | 2024-03-19 |
DOI: | 10.32614/CRAN.package.netgwas |
Author: | Pariya Behrouzi [aut, cre], Ernst C. Wit [ctb] |
Maintainer: | Pariya Behrouzi <pariya.behrouzi at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | netgwas citation info |
CRAN checks: | netgwas results |
Reference manual: | netgwas.pdf |
Package source: | netgwas_1.14.3.tar.gz |
Windows binaries: | r-devel: netgwas_1.14.3.zip, r-release: netgwas_1.14.3.zip, r-oldrel: netgwas_1.14.3.zip |
macOS binaries: | r-release (arm64): netgwas_1.14.3.tgz, r-oldrel (arm64): netgwas_1.14.3.tgz, r-release (x86_64): netgwas_1.14.3.tgz, r-oldrel (x86_64): netgwas_1.14.3.tgz |
Old sources: | netgwas archive |
Reverse imports: | netShiny |
Please use the canonical form https://CRAN.R-project.org/package=netgwas to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.