cultivars.engine._internals#

Constants and defaults#

`_assessments`
`_chains`	Markov chains over the parameters of a nonlinear state-space model.
`_coefficients`
`_covariances`
`_emitters`	Emitters: parameter records to state-space systems on the nonlinear substrate.
`_engines`
`_filters`
`_fits`	Fit records: the raw numeric output of an estimator, before result assembly.
`_inferences`
`_layouts`
`_levels`
`_means`	Mean layers: how a conditional-variance model turns a draw into residuals.
`_mixins`	Behavior mixins: optional capabilities a public result opts into.
`_models`	Protected base classes for model specifications and fitted results.
`_moments`
`_objectives`
`_parameters`	Optimizer surfaces: the estimation context an objective function closes over.
`_posteriors`
`_predictors`
`_priors`
`_results`
`_selections`
`_simulators`
`_smoothers`
`_solutions`
`_solvers`
`_specifications`	Perturbation solution of rational-expectations models, to second order.
`_states`
`_substrates`	State-space substrates: the linear-Gaussian and nonlinear engines.
`_systems`	Parametric state-space system builders: structural and Nelson-Siegel.
`_tests`