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gmB

Graphical Model 5-Dim Binary Example Data

Description

This data set contains a matrix containing information on five binary variables (coded as 0/1) and the corresonding DAG model.

Usage

data(gmB)

Format

The format is a list of two components

x:: Int [1:5000, 1:5] 0 1 1 0 0 1 1 0 1 1 ...
g:: Formal class 'graphNEL' [package "graph"] with 6 slots
.. ..@ nodes : chr [1:5] "1" "2" "3" "4" ...
.. ..@ edgeL :List of 5
........

Details

The data was generated using Tetrad in the following way. A random DAG on five nodes was generated; binary variables were assigned to each node; then conditional probability tables corresponding to the structure of the generated DAG were constructed. Finally, 5000 samples were drawn using the conditional probability tables.

Examples

data(gmB)
## maybe str(gmB) ; plot(gmB) ...

pcalg

Methods for Graphical Models and Causal Inference

v2.7-2

GPL (>= 2)

Authors

Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb], Marco Eigenmann [ctb], Leonard Henckel [ctb], Joris Mooij [ctb]

Initial release

2021-4-20

gmB