Abstract
The gRain package for R (www.r-project.org) has been around for a decade and the package provides tools for building Bayesian networks as well as for probability propagation in such networks.
In gRain, attention is restricted to networks with discrete nodes.
A recent addition to the package is the ability to incorporate likelihood evidence (also called soft evidence or virtual evidence) in the network. This facility is useful in itself, and the facility also allows for handling networks where not all nodes are discrete.
References
[1] Højsgaard, S. (2012). Graphical Independence Networks with the gRain Package for R. Journal
of Statistical Software 46, 1–26.
In gRain, attention is restricted to networks with discrete nodes.
A recent addition to the package is the ability to incorporate likelihood evidence (also called soft evidence or virtual evidence) in the network. This facility is useful in itself, and the facility also allows for handling networks where not all nodes are discrete.
References
[1] Højsgaard, S. (2012). Graphical Independence Networks with the gRain Package for R. Journal
of Statistical Software 46, 1–26.
| Original language | English |
|---|---|
| Publication date | 2018 |
| Number of pages | 1 |
| Publication status | Published - 2018 |
| Event | 27th Nordic Conference in Mathematical Statistics - Dorpat Convention Centre, Tartu, Estonia Duration: 26 Jun 2018 → 29 Aug 2018 Conference number: 27 http://nordstat2018.ut.ee/ |
Conference
| Conference | 27th Nordic Conference in Mathematical Statistics |
|---|---|
| Number | 27 |
| Location | Dorpat Convention Centre |
| Country/Territory | Estonia |
| City | Tartu |
| Period | 26/06/2018 → 29/08/2018 |
| Internet address |
Keywords
- Message passing
- Probability propagation