量的テキスト分析を用いた通時的な社会科学研究の方法

Dynamic Covariate Balancing for Estimating the Effects of Treatments over Time

Make beautiful directed acyclic graphs (DAGs)

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

R package to manage multicollinearity in modeling data frames.

Data preparation for data science projects.

R library for estimating treatment effect with regularization

This repository includes replication code and raw data used in the construction of the Global Macro Database.

A utility package for providing SVG export to DiagrammeR graph diagrams

Manuscript: "Communicating causal effect heterogeneity"

lpinfer: An R Package for Inference in Linear Programs

the code and package for ''The synthetic instrument: From sparse association to sparse causation''

Rate doubly robust estimation for weighted average treatment effects

Python tool for converting files and office documents to Markdown.

Scripts for our paper ``Factor Augmented Sparse Throughput Deep Neural Networks for High Dimensional Regression''

"Dual Interpretation of Machine Learning Forecasts" - Goulet Coulombe, Göbel, Klieber (2024)

Computes the coverage correlation coefficient of two samples

|| Stata | R || Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or dec…

R package for dynamic bayesian hierarchical latent class models

Repository for replicating the figures and tables in the paper "Treatment Effects in Market Equilibrium"

Package for tests and bound on mediating effects

Modeltime unlocks time series forecast models and machine learning in one framework

sjPlot - Data Visualization for Statistics in Social Science

DML for High-Dimensional Linear Panel Data Models in R

Targeted estimation of risk standardization parameters