This repository contains a practical introduction to Bayesian networks
in R using bnlearn for teaching of a one-hour course.
To go through the R tutorials do the following:
- download the latest zip-file here and extract it,
- open Rstudio,
- click File -> Open Project and select
bayesian-networks-introduction.Rproj, - open
R/tutorial.R, - execute the tutorial line by line.
## R version 3.5.1 (2018-07-02)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 18.10
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.3.3.so
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=de_CH.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=de_CH.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=de_CH.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=de_CH.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] dplyr_0.8.1 igraph_1.2.4.1 ggraph_2.0.0 ggplot2_3.2.0
## [5] bnlearn_4.5 dagitty_0.2-2
##
## loaded via a namespace (and not attached):
## [1] tidyselect_0.2.5 xfun_0.7 purrr_0.3.2
## [4] graphlayouts_0.5.0 V8_2.3 colorspace_1.4-1
## [7] htmltools_0.3.6 viridisLite_0.3.0 yaml_2.2.0
## [10] rlang_0.4.0 pillar_1.4.2 glue_1.3.1.9000
## [13] withr_2.1.2 tweenr_1.0.1 stringr_1.4.0
## [16] munsell_0.5.0 gtable_0.3.0 evaluate_0.13
## [19] labeling_0.3 knitr_1.23 curl_3.3
## [22] tidygraph_1.1.2 Rcpp_1.0.1 scales_1.0.0
## [25] backports_1.1.4 jsonlite_1.6 farver_1.1.0
## [28] gridExtra_2.3 ggforce_0.3.1 digest_0.6.20
## [31] stringi_1.4.3 ggrepel_0.8.1 polyclip_1.10-0
## [34] grid_3.5.1 rprojroot_1.3-2 here_0.1
## [37] tools_3.5.1 magrittr_1.5 lazyeval_0.2.2
## [40] tibble_2.1.3 crayon_1.3.4 tidyr_0.8.3
## [43] pkgconfig_2.0.2 MASS_7.3-50 assertthat_0.2.1
## [46] rmarkdown_1.13 viridis_0.5.1 R6_2.4.0
## [49] boot_1.3-20 compiler_3.5.1
Simon Dirmeier simon.dirmeier @ web.de
This
work is licensed under a
Creative
Commons Attribution-NonCommercial 4.0 International License.
