The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite bnlearn in publications use the most appropriate among:
A teaching book about Bayesian networks based on bnlearn:
Scutari M, Denis J (2021). Bayesian Networks with Examples in R, 2nd edition. Chapman and Hall, Boca Raton. ISBN 978-0367366513.
To cite applications of Bayesian networks in genetics and systems biology you may want to use:
Nagarajan R, Scutari M (2013). Bayesian Networks in R with Applications in Systems Biology. Springer, New York. doi:10.1007/978-1-4614-6446-4, ISBN 978-1-4614-6445-7, 978-1-4614-6446-4.
To cite parallel computing for bnlearn in publications use:
Scutari M (2017). “Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package.” Journal of Statistical Software, 77(2), 1–20. doi:10.18637/jss.v077.i02.
To cite general use of bnlearn in publications use:
Scutari M (2010). “Learning Bayesian Networks with the bnlearn R Package.” Journal of Statistical Software, 35(3), 1–22. doi:10.18637/jss.v035.i03.
This last is the original JSS paper for the package.
Corresponding BibTeX entries:
@Book{, title = {Bayesian Networks with Examples in {R}}, author = {Marco Scutari and Jean-Baptiste Denis}, edition = {2nd}, publisher = {Chapman and Hall}, address = {Boca Raton}, year = {2021}, note = {ISBN 978-0367366513}, }
@Book{, title = {Bayesian Networks in {R} with Applications in Systems Biology}, author = {Radhakrishnan Nagarajan and Marco Scutari}, publisher = {Springer}, address = {New York}, year = {2013}, note = {ISBN 978-1-4614-6445-7, 978-1-4614-6446-4}, doi = {10.1007/978-1-4614-6446-4}, }
@Article{, title = {Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the {bnlearn} {R} Package}, author = {Marco Scutari}, journal = {Journal of Statistical Software}, year = {2017}, volume = {77}, number = {2}, pages = {1--20}, doi = {10.18637/jss.v077.i02}, }
@Article{, title = {Learning Bayesian Networks with the {bnlearn} {R} Package}, author = {Marco Scutari}, journal = {Journal of Statistical Software}, year = {2010}, volume = {35}, number = {3}, pages = {1--22}, doi = {10.18637/jss.v035.i03}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.