Package: PDN 0.1.0

PDN: Personalized Disease Network

Building patient level networks for prediction of medical outcomes and draw the cluster of network. This package is based on paper Personalized disease networks for understanding and predicting cardiovascular diseases and other complex processes (See Cabrera et al. <http://circ.ahajournals.org/content/134/Suppl_1/A14957>).

Authors:Javier Cabrera <[email protected]>, Fei Wang <[email protected]>

PDN_0.1.0.tar.gz
PDN_0.1.0.zip(r-4.5)PDN_0.1.0.zip(r-4.4)PDN_0.1.0.zip(r-4.3)
PDN_0.1.0.tgz(r-4.5-any)PDN_0.1.0.tgz(r-4.4-any)PDN_0.1.0.tgz(r-4.3-any)
PDN_0.1.0.tar.gz(r-4.5-noble)PDN_0.1.0.tar.gz(r-4.4-noble)
PDN_0.1.0.tgz(r-4.4-emscripten)PDN_0.1.0.tgz(r-4.3-emscripten)
PDN.pdf |PDN.html✨
PDN/json (API)

# Install 'PDN' in R:
install.packages('PDN', repos = c('https://bruce1edward.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 7 scripts 521 downloads 5 exports 39 dependencies

Last updated 7 years agofrom:e02c3ae5f7. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winNOTEFeb 18 2025
R-4.5-macNOTEFeb 18 2025
R-4.5-linuxNOTEFeb 18 2025
R-4.4-winNOTEFeb 18 2025
R-4.4-macNOTEFeb 18 2025
R-4.3-winNOTEFeb 18 2025
R-4.3-macNOTEFeb 18 2025

Exports:buildnetworksdatecutdraw.PDNdraw.PDN.circledraw.PDN.cluster

Dependencies:clicodacodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnetworknlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapestatnet.commonsurvivaltibbleutf8vctrsviridisLitewithr

PDN Vignette

Javier Cabrera, Amanda Kowk and Zhenbang Wang

Rendered fromvignette.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2017-11-03
Started: 2017-11-03