Package: ghypernet 1.1.1.1
ghypernet: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Provides functions for model fitting and selection of generalised hypergeometric ensembles of random graphs (gHypEG). To learn how to use it, check the vignettes for a quick tutorial. Please reference its use as Casiraghi, G., Nanumyan, V. (2019) <doi:10.5281/zenodo.2555300> together with those relevant references from the one listed below. The package is based on the research developed at the Chair of Systems Design, ETH Zurich. Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2016) <arxiv:1607.02441>. Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2017) <doi:10.1007/978-3-319-67256-4_11>. Casiraghi, G., (2017) <arxiv:1702.02048> Brandenberger, L., Casiraghi, G., Nanumyan, V., Schweitzer, F. (2019) <doi:10.1145/3341161.3342926> Casiraghi, G. (2019) <doi:10.1007/s41109-019-0241-1>. Casiraghi, G., Nanumyan, V. (2021) <doi:10.1038/s41598-021-92519-y>. Casiraghi, G. (2021) <doi:10.1088/2632-072X/ac0493>.
Authors:
ghypernet_1.1.1.1.tar.gz
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ghypernet.pdf |ghypernet.html✨
ghypernet/json (API)
NEWS
# Install 'ghypernet' in R: |
install.packages('ghypernet', repos = c('https://gi0na.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gi0na/r-ghypernet/issues
- adj_karate - Zachary's Karate Club graph
- contacts.adj - Highschool contact network adjacency matrix
- cospons_mat - Swiss MPs network adjacency matrix
- dt - Swiss MPs attribute data frame.
- dtcommittee - Swiss MPs committee affiliation data frame.
- highschool.multiplex - Highschool contact network multiplex representation
- highschool.predictors - Highschool contact network predictors
- onlinesim_mat - Swiss MPs committee similarity matrix.
- vertexlabels - Zachary's Karate Club vertex faction assignment
data-miningdata-sciencegraphsnetworknetwork-analysisrandom-graph-generationrandom-graphs
Last updated 7 months agofrom:42935e73a1. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 08 2024 |
R-4.5-win | NOTE | Oct 08 2024 |
R-4.5-linux | NOTE | Oct 08 2024 |
R-4.4-win | NOTE | Oct 08 2024 |
R-4.4-mac | NOTE | Oct 08 2024 |
R-4.3-win | NOTE | Oct 08 2024 |
R-4.3-mac | NOTE | Oct 08 2024 |
Exports:adj2elas.ghypebccmBootstrapPropertycompute_xiComputeXiconf.testcoxsnellR2create_predictorsCreateIgGraphscreatePredictorsel2adjextract.nrm.clusterFitOmegaget_zero_dummyghypegof.testhomophily_statisNetworklink_significancelinkSignificanceloglloglratiolr.testmat2vec.ixmcfaddenR2nr.cinr.significancenrmnrm_choosenrm_selectionnrmChoosenrmSelectionreciprocity_statregularmrghypeRMSERMSLEscmsharedPartner_statvec2mat
Dependencies:askpassclicurldplyrextraDistrfansigenericsgluehttrjsonlitelifecyclemagrittrmimenumbersopensslpbmcapplypillarpkgconfigplyrpurrrR6Rcppreshape2rlangrootSolvestringistringrsystexregtibbletidyselectutf8vctrswithr
An introduction to generalized hypergeometric ensembles (gHypEG) regressions.
Rendered fromTutorial_NRM.Rmd
usingknitr::rmarkdown
on Oct 08 2024.Last update: 2022-12-05
Started: 2019-09-02
Finding Significant Links with gHypEGs
Rendered fromSignificantlinks.Rmd
usingknitr::rmarkdown
on Oct 08 2024.Last update: 2021-10-15
Started: 2019-01-15
ghypernet Tutorial
Rendered fromtutorial.Rmd
usingknitr::rmarkdown
on Oct 08 2024.Last update: 2019-02-01
Started: 2019-02-01