Import

The causalinf module provides implementations, through different submodules, of many causal identification strategies, that is, (causal) models used to recover causal effects in quantitative analyses. Experiments are treated as a particular case of an identification strategy. The following submodules are available (other methods may be added in the future):

1. Experimental Design (ED)          (submodule name: *experiment*)
2. Graphical Causal Models (GCM)     (submodule name: *gcm*)
3. Structural Causal Models (SCM)    (submodule name: *scm*)
4. Causal Bayesian Networks (CBN)    (submodule name: *cbn*)
5. Selection on Observables (SoO)    (submodule name: *soo*)
6. Difference-in-Differences (DiD)   (submodule name: *did*)
7. Regression Discontinuity (RD)     (submodule name: *rd*)
8. Instrumental Variable (IV)        (submodule name: *iv*)

To import a submodule, use:

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from causalinf import <submodule name>

Here are some examples:

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from causalinf import did # (1)!
from causalinf import gcm # (2)!
from causalinf import iv  # (3)!
  1. Load the Difference-in-Differences (DiD) module
  2. Load the Causal Graphical Models (GCM) module
  3. Load the Instrumental Variable (IV) module