getNonNormalisedRandomMoTBF: Ramdom MoTBF
In MoTBFs: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions
View source: R/priorKnowledge.R
getNonNormalisedRandomMoTBF R Documentation
Ramdom MoTBF
Description
Generates a non normalized (i.e. not integrating to 1) positive MoTBF function.
Usage
getNonNormalisedRandomMoTBF(degree, POTENTIAL_TYPE = "MOP")
Arguments
degree
A "numeric" value containing the degree of the random function.
POTENTIAL_TYPE
A "character" string specifying the posibles potential
types, must be one of "MOP" or "MTE".
Value
A "numeric" vector of length 2 giving the coefficients.
Examples
getNonNormalisedRandomMoTBF(8, POTENTIAL_TYPE = "MOP")
getNonNormalisedRandomMoTBF(11, POTENTIAL_TYPE = "MTE")
MoTBFs documentation built on April 18, 2022, 5:06 p.m.
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View source: R/priorKnowledge.R
| getNonNormalisedRandomMoTBF | R Documentation |
Ramdom MoTBF
Description
Generates a non normalized (i.e. not integrating to 1) positive MoTBF function.
Usage
getNonNormalisedRandomMoTBF(degree, POTENTIAL_TYPE = "MOP")
Arguments
degree |
A |
POTENTIAL_TYPE |
A |
Value
A "numeric" vector of length 2 giving the coefficients.
Examples
getNonNormalisedRandomMoTBF(8, POTENTIAL_TYPE = "MOP") getNonNormalisedRandomMoTBF(11, POTENTIAL_TYPE = "MTE")
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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