Landscapes-of-Change-Lab/CausalClimateChangeAttribution: 2025.6

Title: Replication Data and Code for "A causal inference framework for climate change attribution in ecology"

Description: This repository contains the complete replication package for the causal climate change attribution case study presented in Dudney et al. (2025). The package includes all data, R code, and documentation necessary to reproduce the analyses and figures from the paper.

Contents:

• Complete R analysis scripts with computational workflow
• All datasets required for replication
• R environment configuration (renv) for reproducible package management
• Comprehensive documentation and setup instructions

Replication Instructions:

• Clone this repository to your local machine
• Open RStudio and create a new R project in the cloned directory
• Run renv::restore() to install required packages and dependencies
• Execute /Scripts/full_analysis.R to run the complete analysis pipeline
• Output figures and tables will be generated in the /Output/ directory

Technical Notes: Full analysis may require several hours on typical personal computers For faster execution, reduce the number of Monte Carlo iterations (n_mc parameter) Individual analysis components can be run separately using scripts in the /Scripts/ directory

Software Requirements: R (with RStudio recommended) Related Publication: Dudney et al. (2025). "A causal inference framework for climate change attribution in ecology" Keywords: causal inference, climate change attribution, ecology, reproducible research, R This package supports open science practices by providing complete computational reproducibility for the published research.