Package: kesernetwork 0.1.0
Su-Chun Cheng
kesernetwork: Visualization of the KESER Network
A shiny app to visualize the knowledge networks for the code concepts. Using co-occurrence matrices of EHR codes from Veterans Affairs (VA) and Massachusetts General Brigham (MGB), the knowledge extraction via sparse embedding regression (KESER) algorithm was used to construct knowledge networks for the code concepts. Background and details about the method can be found at Chuan et al. (2021) <doi:10.1038/s41746-021-00519-z>.
Authors:
kesernetwork_0.1.0.tar.gz
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kesernetwork_0.1.0.tgz(r-4.4-any)kesernetwork_0.1.0.tgz(r-4.3-any)
kesernetwork_0.1.0.tar.gz(r-4.5-noble)kesernetwork_0.1.0.tar.gz(r-4.4-noble)
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kesernetwork.pdf |kesernetwork.html✨
kesernetwork/json (API)
NEWS
# Install 'kesernetwork' in R: |
install.packages('kesernetwork', repos = c('https://celehs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/celehs/kesernetwork/issues
Last updated 2 years agofrom:b248e263c2. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | NOTE | Oct 25 2024 |
R-4.5-linux | NOTE | Oct 25 2024 |
R-4.4-win | NOTE | Oct 25 2024 |
R-4.4-mac | NOTE | Oct 25 2024 |
R-4.3-win | NOTE | Oct 25 2024 |
R-4.3-mac | NOTE | Oct 25 2024 |
Exports:run_app
Dependencies:askpassattemptbase64encbslibcachemclicolorspacecommonmarkconfigcpp11crayoncrosstalkcurldata.tabledigestdplyrDTevaluatefansifarverfastmapfontawesomefreshfsgenericsggplot2gluegolemgtableherehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrmarkdownMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppreactablereactRrintrojsrlangrmarkdownrprojrootrstudioapisassscalesshinyshinyBSshinycssloadersshinydashboardshinydashboardPlusshinyhelpershinyWidgetssourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitevisNetworkwaiterwithrxfunxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
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Run the Shiny Application | run_app |