This package is considered a duplicate. The official version of this package is found at:https://andreamrau.r-universe.dev/ebdbNet
Package: ebdbNet 1.2.8
Andrea Rau
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.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andreamrau/ebdbnet/issues
Last updated 1 years agofrom:e8a9534550. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-linux-x86_64 | OK | Nov 09 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 |
