Package: dbnlearn 0.1.0
dbnlearn: Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
It allows to learn the structure of univariate time series, learning parameters and forecasting. Implements a model of Dynamic Bayesian Networks with temporal windows, with collections of linear regressors for Gaussian nodes, based on the introductory texts of Korb and Nicholson (2010) <doi:10.1201/b10391> and Nagarajan, Scutari and Lèbre (2013) <doi:10.1007/978-1-4614-6446-4>.
Authors:
dbnlearn_0.1.0.tar.gz
dbnlearn_0.1.0.zip(r-4.5)dbnlearn_0.1.0.zip(r-4.4)
dbnlearn_0.1.0.tgz(r-4.5-any)dbnlearn_0.1.0.tgz(r-4.4-any)
dbnlearn_0.1.0.tar.gz(r-4.5-noble)dbnlearn_0.1.0.tar.gz(r-4.4-noble)
dbnlearn_0.1.0.tgz(r-4.4-emscripten)
dbnlearn.pdf |dbnlearn.html✨
dbnlearn/json (API)
| # Install 'dbnlearn' in R: |
| install.packages('dbnlearn', repos = c('https://robson-fernandes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robson-fernandes/dbnlearn/issues
bayesian-inferencebayesian-networksdynamic-bayesian-networksprobabilistic-graphical-modelstime-series
Last updated 5 years agofrom:85b4c06549. Checks:1 OK, 6 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 14 2025 |
| R-4.5-win | ERROR | Mar 14 2025 |
| R-4.5-mac | ERROR | Mar 14 2025 |
| R-4.5-linux | ERROR | Mar 14 2025 |
| R-4.4-win | ERROR | Mar 14 2025 |
| R-4.4-mac | ERROR | Mar 14 2025 |
| R-4.4-linux | ERROR | Mar 14 2025 |
Exports:dbn.fitdbn.learndbn.predictdbn.preprocessing
Dependencies:assertthatbase64encbnlearnbnviewerbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvigraphipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartsassscalesshapeshinysourcetoolssparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitevisNetworkwithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting | dbnlearn-package dbnlearn |
| Dynamic Bayesian Network Fit | dbn.fit |
| Dynamic Bayesian Network Structure Learning | dbn.learn |
| Dynamic Bayesian Network Predict | dbn.predict |
| Time Series Preprocessing with time window. | dbn.preprocessing |
