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Apoorva Lal's Projects

aipwml icon aipwml

Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods

aipyw icon aipyw

minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.

alal-paper-template icon alal-paper-template

pandoc / rmarkdown paper template + folder structure for empirical papers. Spits out sensible looking working paper pdf without having to set everything up in latex (but keeps tex file for subsequent tinkering).

animatedmaps_us_cds icon animatedmaps_us_cds

Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below

balancehd icon balancehd

Approximately balanced estimation of average treatment effects in high dimensions.

balancer icon balancer

Balancing weights for observational studies

bibextractr icon bibextractr

Function to extract all bib entries cited in paper (using biblatex citations) from a big bibtex file and populate small bib file

britain_19c icon britain_19c

1. 1885 redistricting, 2. lancashire famine realigments

cates icon cates

wrapper package for multiple CATE estimator routines

causalpy icon causalpy

A Python package for causal inference in quasi-experimental settings

conley icon conley

Package for Conley standard errors in cross-section and panel data models estimated with felm()

conley-se icon conley-se

Code to estimate Conley's Standard Errors in R

contextual icon contextual

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

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