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.
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.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 2018 |
| Antal sider | 1 |
| Status | Udgivet - 2018 |
| Begivenhed | 27th Nordic Conference in Mathematical Statistics - Dorpat Convention Centre, Tartu, Estland Varighed: 26 jun. 2018 → 29 aug. 2018 Konferencens nummer: 27 http://nordstat2018.ut.ee/ |
Konference
| Konference | 27th Nordic Conference in Mathematical Statistics |
|---|---|
| Nummer | 27 |
| Lokation | Dorpat Convention Centre |
| Land/Område | Estland |
| By | Tartu |
| Periode | 26/06/2018 → 29/08/2018 |
| Internetadresse |