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scmSpillover 0.1.1

New Features

• Added comprehensive unit tests using testthat framework
• Added generate_test_data() function for simulation studies

Improvements

• Improved documentation with roxygen2 comments for all exported functions
• Added input validation and informative error messages
• Enhanced numerical stability in scm() and sp_estimation() with regularization

Bug Fixes

• Fixed weight rearrangement issue in scm_batch() when processing non-first units

scmSpillover 0.1.0

Initial release

Core Functions

• run_scm_spillover(): Main function for SCM analysis with spillover effects
• scm(): Basic synthetic control method for single treated unit
• scm_batch(): Batch SCM estimation for all units
• sp_estimation(): Spillover-adjusted treatment effect estimation
• vanilla_scm(): Standard SCM without spillover adjustment for comparison

Inference

• sp_andrews_te(): Andrews-type test for treatment effects with confidence intervals
• sp_andrews_spillover(): Test for presence of spillover effects

Visualization

• plot_effects(): Plot treatment effects with confidence intervals
• plot_all(): Generate comprehensive visualization suite
• qplot_effects(), qplot_compare(), qplot_series(), qplot_ci(): Quick plotting functions
• save_all_plots(): Export all plots to files

Methods

• print.scm_spillover(): Print method for results summary
• summary.scm_spillover(): Detailed summary with period-by-period results
• plot.scm_spillover(): S3 plot method

Data

• generate_test_data(): Generate simulated panel data for testing

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.