Package: ebdbNet 1.2.8
ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks
Infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks.
Authors:
ebdbNet_1.2.8.tar.gz
ebdbNet_1.2.8.zip(r-4.5)ebdbNet_1.2.8.zip(r-4.4)ebdbNet_1.2.8.zip(r-4.3)
ebdbNet_1.2.8.tgz(r-4.4-x86_64)ebdbNet_1.2.8.tgz(r-4.4-arm64)ebdbNet_1.2.8.tgz(r-4.3-x86_64)ebdbNet_1.2.8.tgz(r-4.3-arm64)
ebdbNet_1.2.8.tar.gz(r-4.5-noble)ebdbNet_1.2.8.tar.gz(r-4.4-noble)
ebdbNet_1.2.8.tgz(r-4.4-emscripten)ebdbNet_1.2.8.tgz(r-4.3-emscripten)
ebdbNet.pdf |ebdbNet.html✨
ebdbNet/json (API)
NEWS
# Install 'ebdbNet' in R: |
install.packages('ebdbNet', repos = c('https://andreamrau.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andreamrau/ebdbnet/issues
Last updated 1 years agofrom:26652fa039. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win-x86_64 | OK | Nov 18 2024 |
R-4.5-linux-x86_64 | OK | Nov 18 2024 |
R-4.4-win-x86_64 | OK | Nov 18 2024 |
R-4.4-mac-x86_64 | OK | Nov 18 2024 |
R-4.4-mac-aarch64 | OK | Nov 18 2024 |
R-4.3-win-x86_64 | OK | Nov 18 2024 |
R-4.3-mac-x86_64 | OK | Nov 18 2024 |
R-4.3-mac-aarch64 | OK | Nov 18 2024 |
Exports:calcAUCcalcSensSpecdataFormatebdbnhankelplot.ebdbNetsimulateVAR
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Empirical Bayes Dynamic Bayesian Network (EBDBN) Inference | ebdbNet-package ebdbNet |
Calculate the Approximate Area Under the Curve (AUC) | calcAUC |
Calculate Sensitivity and Specificity of a Network | calcSensSpec |
Change the Format of Longitudinal Data to be Compatible with EBDBN | dataFormat |
Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation | ebdbn |
Internal functions for Empirical Bayes Dynamic Bayesian Network (EBDBN) Estimation | ebdbn-internal fdbkFunc sumFunc |
Perform Singular Value Decomposition of Block-Hankel Matrix | hankel |
Visualize EBDBN network | plot.ebdbNet |
Simulate Simple Autoregressive Process | simulateVAR |