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curvefit.initializer.initializer.LnAlphaBetaPrior

Gets information about a ln alpha-beta prior for model

See PriorInitializerComponent for a description of a prior initializer. This prior initializer component uses group-specific individual model fits with alpha and beta parameters to get information about what the mean and standard deviation for a functional prior on log(alpha * beta) should be. It uses the empirical mean and standard deviation of log(alpha * beta), typically fit on only a subset of groups that have more data and information about what alpha and beta should be.

NOTE: Requires 'alpha' and 'beta' parameters in a ParameterSet along with a functional prior called 'ln-alpha-beta'.

Attributes

See attributes for IndividualPriorInitializerComponent.

Methods

See methods for IndividualPriorInitializerComponent.