synthetic_bn: A synthetic Bayesian network
In bnmonitor: An Implementation of Sensitivity Analysis in Bayesian Networks
synthetic_bn R Documentation
A synthetic Bayesian network
Description
synthetic_bn is a bn.fit object for a simple Bayesian network involving three variables.
Usage
synthetic_bn
Format
The Bayesian network bnsens_example comprehends the following nodes:
-
y1: three-level factor with levels 1, 2, 3.
-
y2: three-level factor with levels 1, 2, 3.
-
y3: three-level factor with levels 1, 2, 3.
Source
Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in monomial models. International Journal of Approximate Reasoning, 151, 64-84.
bnmonitor documentation built on Sept. 30, 2024, 9:31 a.m.
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| synthetic_bn | R Documentation |
A synthetic Bayesian network
Description
synthetic_bn is a bn.fit object for a simple Bayesian network involving three variables.
Usage
synthetic_bn
Format
The Bayesian network bnsens_example comprehends the following nodes:
-
y1: three-level factor with levels 1, 2, 3.
-
y2: three-level factor with levels 1, 2, 3.
-
y3: three-level factor with levels 1, 2, 3.
Source
Leonelli, M., & Riccomagno, E. (2022). A geometric characterization of sensitivity analysis in monomial models. International Journal of Approximate Reasoning, 151, 64-84.
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.
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