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distributions/
likelihood__define.pro
This is an abstract class for objects dealing with likelihoods. LIKELIHOOD objects are a subset of DISTRIBUTION objects that specifically deal with data.
Routines
result = likelihood::loglikelihood(model)Return the natural logarithm of the likelihood, given a model for the distribution.
result = likelihood::likelihood(model)This method returns the likelihood of the data, given a set of model parameters.
result = likelihood::pdf(model)Implements the DISTRIBUTION class's pdf method, which is identical to the likelihood.
result = likelihood::init(data)Create the likelihood object
likelihood::setData, dataRedefine the data for this likelihood object
result = likelihood::getData()Return the data used in this object
likelihood::cleanuplikelihood__define
Routine details
toplikelihood::loglikelihood
result = likelihood::loglikelihood(model)
Return the natural logarithm of the likelihood, given a model for the distribution.
Parameters
- model in required
Data specifying the model parameters.
toplikelihood::likelihood
result = likelihood::likelihood(model)
This method returns the likelihood of the data, given a set of model parameters.
Parameters
- model in required
The model parameters.
toplikelihood::pdf
result = likelihood::pdf(model)
Implements the DISTRIBUTION class's pdf method, which is identical to the likelihood.
Parameters
- model
toplikelihood::init
result = likelihood::init(data)
Create the likelihood object
Parameters
- data in required
The data used in likelihood evaluation
toplikelihood::setData
likelihood::setData, data
Redefine the data for this likelihood object
Parameters
- data
toplikelihood::cleanup
likelihood::cleanup
toplikelihood__define
likelihood__define
File attributes
| Modifcation date: | Mon Mar 22 16:17:13 2010 |
| Lines: | 118 |