jti-package: jti: Junction Tree Inference
In jti: Junction Tree Inference
jti-package R Documentation
jti: Junction Tree Inference
Description
Minimal and memory efficient implementation of the junction tree
algorithm using the Lauritzen-Spiegelhalter scheme.
Details
The main functions are cpt_list, compile,jt
and query_belief which together is sufficient to make
inference using the junction tree algorithm.
Author(s)
Maintainer: Mads Lindskou madslindskou@gmail.com
References
Local Computations with Probabilities on Graphical Structures
and Their Application to Expert Systems by S. L. Lauritzen
and D. J. Spiegelhalter (1988). Journal of the Royal Statistical
Society: Series B (Methodological) volume 50, issue 2.
See Also
Useful links:
jti documentation built on April 12, 2025, 9:15 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| jti-package | R Documentation |
jti: Junction Tree Inference
Description
Minimal and memory efficient implementation of the junction tree algorithm using the Lauritzen-Spiegelhalter scheme.
Details
The main functions are cpt_list, compile,jt
and query_belief which together is sufficient to make
inference using the junction tree algorithm.
Author(s)
Maintainer: Mads Lindskou madslindskou@gmail.com
References
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems by S. L. Lauritzen and D. J. Spiegelhalter (1988). Journal of the Royal Statistical Society: Series B (Methodological) volume 50, issue 2.
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.