scores.tbn: Computes several likelihood-based score for a given Tweedie...
In km20/tbn: Tweedie Bayesian Network
Description
Usage
Arguments
Value
Description
Computes several likelihood-based score for a given Tweedie Bayesian Network:
the log-likelihood, the Akaike Information Criterion (AIC) and the Bayesian
Information Criterion (BIC).
Usage
1
scores.tbn(beta, phi, p, X)
Arguments
beta
a matrix of the Tweedie Bayesian network coefficients.
phi
a vector of dispersion parameters.
p
a vector of power parameters.
X
a data frame containing the variables in the model.
Value
This function returns a named list consisting of the Tweedie
Bayesian network scores: Akaike Information Criterion (AIC), Bayesian
Information Criterion (BIC) and the log-likelihood (ll).
km20/tbn documentation built on May 29, 2019, 11:44 a.m.
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Description Usage Arguments Value
Description
Computes several likelihood-based score for a given Tweedie Bayesian Network: the log-likelihood, the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC).
Usage
1 | scores.tbn(beta, phi, p, X)
|
Arguments
beta |
a matrix of the Tweedie Bayesian network coefficients. |
phi |
a vector of dispersion parameters. |
p |
a vector of power parameters. |
X |
a data frame containing the variables in the model. |
Value
This function returns a named list consisting of the Tweedie Bayesian network scores: Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and the log-likelihood (ll).
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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