| Asiamat {BiDAG} | R Documentation |
Asiamat
Description
An adjacency matrix representing the ground truth DAG used to generate a synthetic dataset from Lauritzen and Spiegelhalter (1988) about lung diseases (tuberculosis, lung cancer or bronchitis) and visits to Asia.
Usage
Asiamat
Format
A binary matrix with 8 rows and 8 columns representing an adjacency matrix of a DAG with 8 nodes:
D (dyspnoea), binary 1/0 corresponding to "yes" and "no"
T (tuberculosis), binary 1/0 corresponding to "yes" and "no"
L (lung cancer), binary 1/0 corresponding to "yes" and "no"
B (bronchitis), binary 1/0 corresponding to "yes" and "no"
A (visit to Asia), binary 1/0 corresponding to "yes" and "no"
S (smoking), binary 1/0 corresponding to "yes" and "no"
X (chest X-ray), binary 1/0 corresponding to "yes" and "no"
E (tuberculosis versus lung cancer/bronchitis), binary 1/0 corresponding to "yes" and "no"
Source
https://www.bnlearn.com/bnrepository/
References
Lauritzen S, Spiegelhalter D (1988). ‘Local Computation with Probabilities on Graphical Structures and their Application to Expert Systems (with discussion)’. Journal of the Royal Statistical Society: Series B 50, 157-224.