PosteriorParameters: Calculate the posterior parameters for a conjugate prior.
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/mixing_distribution_posterior_parameters.R
PosteriorParameters R Documentation
Calculate the posterior parameters for a conjugate prior.
Description
Calculate the posterior parameters for a conjugate prior.
Usage
PosteriorParameters(mdObj, x)
## S3 method for class 'mvnormal'
PosteriorParameters(mdObj, x)
## S3 method for class 'normalFixedVariance'
PosteriorParameters(mdObj, x)
## S3 method for class 'normal'
PosteriorParameters(mdObj, x)
Arguments
mdObj
Mixing distribution object
x
Data
Value
Parameters of the posterior distribution
dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.
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View source: R/mixing_distribution_posterior_parameters.R
| PosteriorParameters | R Documentation |
Calculate the posterior parameters for a conjugate prior.
Description
Calculate the posterior parameters for a conjugate prior.
Usage
PosteriorParameters(mdObj, x)
## S3 method for class 'mvnormal'
PosteriorParameters(mdObj, x)
## S3 method for class 'normalFixedVariance'
PosteriorParameters(mdObj, x)
## S3 method for class 'normal'
PosteriorParameters(mdObj, x)
Arguments
mdObj |
Mixing distribution object |
x |
Data |
Value
Parameters of the posterior distribution
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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