PenalisedLikelihood: Calculate the parameters that maximise the penalised...
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/mixing_distribution_penalised_likelihood.R
PenalisedLikelihood.beta R Documentation
Calculate the parameters that maximise the penalised likelihood.
Description
Used to find suitable starting parameters for nonconjugate mixtures.
For some mixing distributions this hasn't been implemented yet.
Usage
## S3 method for class 'beta'
PenalisedLikelihood(mdObj, x)
PenalisedLikelihood(mdObj, x)
## Default S3 method:
PenalisedLikelihood(mdObj, x)
Arguments
mdObj
Mixing distribution object
x
Data
dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.
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View source: R/mixing_distribution_penalised_likelihood.R
| PenalisedLikelihood.beta | R Documentation |
Calculate the parameters that maximise the penalised likelihood.
Description
Used to find suitable starting parameters for nonconjugate mixtures. For some mixing distributions this hasn't been implemented yet.
Usage
## S3 method for class 'beta'
PenalisedLikelihood(mdObj, x)
PenalisedLikelihood(mdObj, x)
## Default S3 method:
PenalisedLikelihood(mdObj, x)
Arguments
mdObj |
Mixing distribution object |
x |
Data |
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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