API Documentation

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• Estimation theory and estimator families: Estimators for Sequential and Simultaneous Nested NPIV

• Diagnostics workflow: Estimation Diagnostics

• Semiparametric estimator narratives: Semiparametric Estimation

Overview

This page is the reference hub for public APIs. Canonical mathematical and workflow discussions remain in the domain pages; this page links to curated reference surfaces for direct function/class lookup.

Longitudinal Estimator APIs

API Group	When To Use	Required Inputs	Key Outputs
RKHS (RKHSIV*, RKHS2IV*)	Kernel-based sequential/joint NPIV with regularization and CV.	A, B, C, C’, Y	Fitted bridge/structural predictors
Neural Network (AGMM*, AGMM2L2)	Adversarial minimax estimation with flexible representation learning.	A, B, C, C’, Y tensors/arrays	Learned predictors and training diagnostics
Ensemble / Random Forest (Ensemble*)	Oracle-style ensemble approximations for minimax objectives.	A, B, C, C’, Y	Ensemble estimators for g/h
Sparse/Regularized Linear + TSLS	Interpretable baselines and constrained optimization settings.	Matrix covariates + outcomes	Coefficients and predictions

• Longitudinal API Overview
  • RKHS Estimators
  • Ensemble and Random Forest Estimators
  • Neural Network Estimators
  • Sparse and Regularized Linear Estimators
  • TSLS Baselines

Diagnostics APIs

Canonical diagnostics reference: Universal Diagnostics API

Semiparametric APIs

API	Target	Core Inputs	Main Return
DML_npiv	NPIV functional inference	Y, D, Z, W (+ options)	theta, var, ci
DML_mediated	Mediation estimands	mediated DGP blocks	effect estimates + CI
DML_longterm	Long-term treatment effects	long-term/surrogacy blocks	effect estimates + CI

• Semiparametric API Overview
  • NPIV Functional Inference
  • Mediation Analysis
  • Long-Term Effect Estimation

Related Pages

• Estimators for Sequential and Simultaneous Nested NPIV

• Estimation Diagnostics

• Semiparametric Estimation