I’m thrilled to announce the launch of our newest Python library, "nonlinear-causal v1.0" nonlinear-causal is a Python module for nonlinear causal inference, including hypothesis testing and confidence interval for causal effect, built on top of instrument variables and Two-Stage least squares.
nonlinear-causal primary implements Two-Stage Least Squares (2SLS) and Two-Stage Inverse Regression (2SIR) based on Instrumental Variable (IV) regression.
PS: 2SIR is the method proposed in our paper, which was just accepted in PMLR@CLeaR.
You can access the library via github and find its documentation on doc. We sincerely look forward to your valuable expertise and insights.
Cheer!