apoorvalal

ding_causalInference_python

python implementation of Peng Ding's "First Course in Causal Inference"

ivDiag

IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).

fastmatch

fast matching estimators for causal inference

synthdid

Synthetic difference in differences

minimal_website

pandoc powered personal/project website

LalRUtils

Misc utility functions in R for personal use.

bsky_paperbot

source for bsky arxiv paperboy bot.

covariate_balancing_propensity_scores

CBPS via exponential tilting for ATE/ATT

ebal

entropy balancing (v2)

lbw

MCPanel

Matrix Completion Methods for Causal Panel Data Models

DynBalancing

Dynamic Covariate Balancing for Estimating the Effects of Treatments over Time

gmm

Generalized Method of Moments estimation

jaxonometrics

notebooks with snippets of jax python code for econometrics tasks

master_bibfile

bibtex repo for automatic paperpile export

apoorvalal.lists.sh

prose microblog source. plaintext files.

balancer

Balancing weights for observational studies

CausalinferencePy

Causal Inference in Python

CausalPy

A Python package for causal inference in quasi-experimental settings

CHKSSMetricsML

Notebooks for Applied Causal Inference Powered by ML and AI

crossEstimation

High-dimensional regression adjustments in randomized experiments

empirical_calibration

fastreg

Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.

hdm

:exclamation: This is a read-only mirror of the CRAN R package repository. hdm — High-Dimensional Metrics

numpy-ml

Machine learning, in numpy

pyfixest

(not so) experimental python clone of fixest

pymarginaleffects

pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

templates-and-shells

tex, markdown, and rmarkdown templates and scratch scripts for research/uni work

termradio

play radio stations from the terminal