Overview

Some core functions in causalinf are standardized across the many submodules used for different causal inference methods. The main ones are:

Task	Basic function
Check causal modeling assumptions	<submodule>.check_assumptions()
Estimate causal model	<submodule>.estimate()
Run sensitivity analysis	<submodule>.sensitivity_analysis()
Summarize the results	<submodule>.summary()
Examples(1)	<submodule>examples()

Note: (1) Each submodule contains some pre-defined examples to illustrate causalinf usage. See Examples.

For details of these functions, see Basic Functions subsections.

For method-specific features, see Methods.

For comprehensive applied examples, see Case Studies.