GaussianMixtureCreate: Create a Normal mixing distribution
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/normal_inverse_gamma.R
GaussianMixtureCreate R Documentation
Create a Normal mixing distribution
Description
See DirichletProcessGaussian for details on the base measure.
Usage
GaussianMixtureCreate(priorParameters = c(0, 1, 1, 1))
Arguments
priorParameters
Prior parameters for the base measure.
Value
Mixing distribution object
dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.
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View source: R/normal_inverse_gamma.R
| GaussianMixtureCreate | R Documentation |
Create a Normal mixing distribution
Description
See DirichletProcessGaussian for details on the base measure.
Usage
GaussianMixtureCreate(priorParameters = c(0, 1, 1, 1))
Arguments
priorParameters |
Prior parameters for the base measure. |
Value
Mixing distribution object
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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