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