Quantitative Tools for Public Policy Analysis
A toolkit for data-driven policy analysis, impact evaluation, and equity assessment.
# Install development version from GitHub
devtools::install_github("Nu11ified/PolicyMetrics")
Features
🎯 Policy impact evaluation (Difference-in-Differences, Regression Discontinuity)
📈 Inequality metrics (Gini Coefficient, Theil Index)
📊 Visualization templates for government reporting
📦 Built-in sample policy datasets
📝 Reproducible research workflow tools
library(PolicyMetrics)
# Analyze inequality
data(sample_policy_data)
gini_coeff <- gini(sample_policy_data$outcome)
# Visualize disparities
plot_disparity(sample_policy_data, treatment, outcome)
# Run policy evaluation
did_model <- did_estimate(
data = sample_policy_data,
outcome_var = outcome,
treat_var = treatment,
time_var = year
)
Included Data
sample_policy_data: Synthetic policy evaluation dataset
state: US state abbreviation (NY, CA)
year: Observation year (2010-2019)
treatment: Policy intervention indicator (0 = control, 1 = treated)
outcome: Policy outcome measure (continuous)
Documentation
r
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# Browse help files
?gini
?did_estimate
# Access tutorials
browseVignettes("PolicyMetrics")
Contributing
Open an issue to discuss changes
Fork the repository
Create a feature branch (git checkout -b feature/your-feature)
Commit changes (git commit -m 'Add amazing feature')
Push to branch (git push origin feature/your-feature)
Open a pull request