doi:10.1534/genetics.108.093690>, Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model, see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022) <doi:10.1080/19490976.2022.2106103>.">

idopNetwork: A Network Tool to Dissect Spatial Community Ecology (original) (raw)

Most existing approaches for network reconstruction can only infer an overall network and, also, fail to capture a complete set of network properties. To address these issues, a new model has been developed, which converts static data into their 'dynamic' form. 'idopNetwork' is an 'R' interface to this model, it can inferring informative, dynamic, omnidirectional and personalized networks. For more information on functional clustering part, see Kim et al. (2008) <doi:10.1534/genetics.108.093690>, Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model, see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022) <doi:10.1080/19490976.2022.2106103>.

Version: 0.1.2
Depends: R (≥ 3.50)
Imports: grDevices, stats, mvtnorm, orthopolynom, parallel, deSolve, ggplot2, reshape2, glmnet, igraph, scales, patchwork
Suggests: covr, knitr, rmarkdown
Published: 2023-04-18
DOI: 10.32614/CRAN.package.idopNetwork
Author: Ang Dong
Maintainer: Ang Dong
BugReports: https://github.com/cxzdsa2332/idopNetwork/issues
License: GPL (≥ 3)
URL: https://github.com/cxzdsa2332/idopNetwork
NeedsCompilation: no
Materials: README
In views: NetworkAnalysis
CRAN checks: idopNetwork results

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