Hparam-class: An S4 class to represent a Hyper parameter.
In bpgmm: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models
Hparam-class R Documentation
An S4 class to represent a Hyper parameter.
Description
An S4 class to represent a Hyper parameter.
Slots
alpha1A numeric value
alpha2A numeric value
deltaA numeric value
ggammaA numeric value
bbetaA numeric value
Examples
new("Hparam", alpha1 = 1, alpha2 = 2, bbeta = 3, delta = 4, ggamma = 5)
bpgmm documentation built on June 2, 2022, 1:10 a.m.
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| Hparam-class | R Documentation |
An S4 class to represent a Hyper parameter.
Description
An S4 class to represent a Hyper parameter.
Slots
alpha1A numeric value
alpha2A numeric value
deltaA numeric value
ggammaA numeric value
bbetaA numeric value
Examples
new("Hparam", alpha1 = 1, alpha2 = 2, bbeta = 3, delta = 4, ggamma = 5)
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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