apoorvalal Goto Github PK

covidviz

EDA / Figures. Not turning into a medium post anytime soon.

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cvxsynth

Implementation of the original synthetic control (Abadie, Diamond, and Hainmueller 2010) and elastic-net synthetic control (Doudchenko and Imbens 2016) in CVXR.

cyrutil

Utility functions that can be used across projects in R

deriv

Symbolic differentiation

derivatives-r-fun

Use R to do things with derivatives, both with actual functions and with existing empirical data

did2s

Two-stage Difference-in-Differences package following Gardner (2021)

diddesign

R package DIDdesign: Analyzing Difference-in-Differences Design

dissertate

Beautiful Word and LaTeX dissertation templates.

dmlutils

utils to fit DoubleML models

dmsp-processer

dmsp processing code (unzip tars, clean up tiff files, merge with gadm shapefile)

docstring

Provides docstring like functionality to R functions without requiring the need to create a package.

doubleml-for-r

DoubleML - Double Machine Learning in R

ds-wgan-het

Design of Simulations using WGAN

ebal

entropy balancing (v2)

ebal-in-cvxr

implementing entropy balancing in CVXR

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

econtools

Econometrics and data manipulation functions.

eglp_crosswalk

Repository for "A Method to Construct Geographical Crosswalks with an Application to US Counties since 1790"

empirical_calibration

estimatr

estimatr: Fast Estimators for Design-Based Inference

fastreg

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

fixest

Fixed-effects estimations

flatex

A Python script for "flattening" a nested LaTeX document by pulling in all the \input files

gds_env

Environment setup and testing of GDS stack

genericml

R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).

geopatra

Interactive Maps with Geopandas

georasters

GeoRasters is a Python module that provides a fast and flexible tool to work with GIS raster files.

ggplot_flipbook

This is a flipbook that builds up plots with ggplot2.

gmd_r_lectures

Lecture notes for EC 607