Estimation methods

Use a method object to configure nuisance learning, cross-fitting, targeting, inference, and runtime behavior. Pass the configured object to IdentifiedEffect.estimate().

cleverly.EstimationMethod	Define the contract for an evidenced estimation method.
cleverly.TMLEMethod	Normalized configuration for the built-in analytic TMLE method.
cleverly.CollaborativeTMLEMethod	Configure collaborative treatment-mechanism selection.
cleverly.DRTMLEMethod	Configure the reduced-dimension DR-TMLE correction.
cleverly.SDRMethod	Configure the sequentially doubly robust longitudinal estimator.
cleverly.IPSIMethod	Configure Kennedy's estimator of incremental propensity-score interventions.
cleverly.GComputationMethod	Configure sequential g-computation of a longitudinal regimen.
cleverly.IPWMethod	Configure sequential inverse probability weighting of a longitudinal regimen.
cleverly.ParametricGFormulaMethod	Configure the parametric g-formula of a longitudinal regimen.
cleverly.ModelSpec	Configure nuisance learning for TMLE methods.
cleverly.CrossFitting	Configure outer and learner-level sample splitting.
cleverly.SplitPlan	Reusable cross-fitting assignments for every repeat.
cleverly.Targeting	Configure fluctuation, nuisance bounds, and solver behavior.
cleverly.Inference	Configure confidence intervals and resampling.
cleverly.Runtime	Configure reproducibility, provenance, and resources.
cleverly.MethodAvailability	Report whether a method can estimate an identified effect.