PriorParametersUpdate: Update the prior parameters of a mixing distribution
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/mixing_distribution_update_prior_parameters.R
PriorParametersUpdate.beta R Documentation
Update the prior parameters of a mixing distribution
Description
Update the prior parameters of a mixing distribution
Usage
## S3 method for class 'beta'
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
## S3 method for class 'weibull'
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
Arguments
mdObj
Mixing Distribution Object
clusterParameters
Current cluster parameters
n
Number of samples
Value
mdobj New Mixing Distribution object with updated cluster parameters
dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.
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View source: R/mixing_distribution_update_prior_parameters.R
| PriorParametersUpdate.beta | R Documentation |
Update the prior parameters of a mixing distribution
Description
Update the prior parameters of a mixing distribution
Usage
## S3 method for class 'beta'
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
## S3 method for class 'weibull'
PriorParametersUpdate(mdObj, clusterParameters, n = 1)
Arguments
mdObj |
Mixing Distribution Object |
clusterParameters |
Current cluster parameters |
n |
Number of samples |
Value
mdobj New Mixing Distribution object with updated cluster parameters
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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