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:Robson Fernandes [aut, cre, cph]

dbnlearn_0.1.0.tar.gz
dbnlearn_0.1.0.zip(r-4.7)dbnlearn_0.1.0.zip(r-4.6)dbnlearn_0.1.0.zip(r-4.5)
dbnlearn_0.1.0.tgz(r-4.6-any)dbnlearn_0.1.0.tgz(r-4.5-any)
dbnlearn_0.1.0.tar.gz(r-4.7-any)dbnlearn_0.1.0.tar.gz(r-4.6-any)
dbnlearn_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

bayesian-inference bayesian-networks dynamic-bayesian-networks probabilistic-graphical-models time-series

4.41 score 20 stars 26 scripts 366 downloads 4 exports 107 dependencies

Last updated from:85b4c06549. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	ERROR	146
source / vignettes	OK	208
linux-release-x86_64	ERROR	157
macos-release-arm64	ERROR	137
macos-oldrel-arm64	ERROR	135
windows-devel	ERROR	88
windows-release	ERROR	78
windows-oldrel	ERROR	81
wasm-release	OK	133

Exports:dbn.fit dbn.learn dbn.predict dbn.preprocessing

Dependencies:assertthat base64enc bnlearn bnviewer bslib cachem caret class cli clock codetools commonmark cpp11 data.table diagram digest dplyr e1071 evaluate farver fastmap fontawesome foreach fs future future.apply generics ggplot2 globals glue gower gtable hardhat highr htmltools htmlwidgets httpuv igraph ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling later lattice lava lifecycle listenv lubridate magrittr MASS Matrix memoise mime ModelMetrics nlme nnet numDeriv otel parallelly pillar pkgconfig plyr pROC prodlim progressr promises proxy purrr R6 rappdirs RColorBrewer Rcpp recipes reshape2 rlang rmarkdown rpart S7 sass scales shape shiny sourcetools sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridisLite visNetwork withr xfun xtable yaml

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Development and contributors

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