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:
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-4.4-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')) |
- comorbidity_data - Sampele comorbidity data set
- demographic_data - Sampele demographic data set
- survival_data - Sampele Survival data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:e02c3ae5f7. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | NOTE | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
R-4.4-win | NOTE | Nov 20 2024 |
R-4.4-mac | NOTE | Nov 20 2024 |
R-4.3-win | NOTE | Nov 20 2024 |
R-4.3-mac | NOTE | Nov 20 2024 |
Exports:buildnetworksdatecutdraw.PDNdraw.PDN.circledraw.PDN.cluster
Dependencies:clicodacodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnetworknlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapestatnet.commonsurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Personized Disease Network | PDN-package |
Generating Network Matrix | buildnetworks |
Sampele comorbidity data set | comorbidity_data |
Generating Optimal cuts for the Data | datecut |
Sampele demographic data set | demographic_data |
Draw Personalized Disease Network for one patient with network and ggplot2 | draw.PDN |
Draw Personalized Disease Network for one patient | draw.PDN.circle |
Draw Personalized Disease Network for cluster of patients | draw.PDN.cluster |
Sampele Survival data set | survival_data |