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Geocomputation with R: an open source book

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

Generalized Linear Latent Variable Models

The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the dri…

Hierarchical partitioning for Marginal R2 for Generalized Mixed-effect Models

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

Google Earth Engine for R

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 go…

R for data science: a book

Augmented Synthetic Control Method

A curated list of causal inference libraries, resources, and applications.

This is the code for the forest carbon potential project

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Python tools for geographic data

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Statsmodels: statistical modeling and econometrics in Python