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
Manuele Leonelli, Eva Riccomagno (2018). "A geometric characterisation of sensitivity analysis in monomial models". https://arxiv.org/abs/1901.02058
bnmonitor documentation built on June 7, 2023, 5:19 p.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
Manuele Leonelli, Eva Riccomagno (2018). "A geometric characterisation of sensitivity analysis in monomial models". https://arxiv.org/abs/1901.02058
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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