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undidR 3.0.1

• Added the lwd and legend parameters to the S3 plot() method for UnDiDObj which controls line width and legend locations, respectively. Removed the default titles of plots.
• Also made other minor aesthetic changes to the default plots, such as adding horizontal bars to the ends of the event study plot confidence bands (like the letter I).
• Removed “none” as an aggregation option for staggered adoption.

undidR 3.0.0

• Added new aggregation methods for staggered adoption: "sgt", "time", and "none".

  • "sgt" computes subaggregate ATTs for each treatment-time and post-treatment period pair, further separated by silo.
  • "time" computes subaggregate ATTs grouped by time since treatment.
  • "none" skips subaggregate ATT computation and directly computes the aggregate ATT from the underlying differences.

• undid_stage_three() now returns an object of class UnDiDObj, providing a unified S3 interface.

  • Added S3 methods: print(), summary(), coef(), and plot().

• Added support for event study plots via the plot() method for UnDiDObj objects.

• Added randomization inference p-values for subaggregate ATTs.

• Fixed a miscalculation of jackknife standard errors and p-values.

• Expanded weighting options for ATT computation: "none", "diff", "att", and "both".

  • "diff" applies weights when computing subaggregate ATTs.
  • "att" applies weights when aggregating subaggregate ATTs.
  • "both" applies weighting at both stages.
  • "none" disables weighting entirely.

undidR 2.0.0

• start_time and end_time columns are now stored as strings in the format specified by date_format column in the empty_diff_df CSV file.
• Fixed as.Date() calls in undid_stage_two(), undid_stage_three(), and plot_parllel_trends() to ensure compatability for R versions 4.0.0 and onwards.

undidR 1.0.2

• Made compatible for R versions 4.0.0 onwards.

undidR 1.0.1

• Fixed the miscalculation of standard weights during stage two under common adoption scenarios.

undidR 1.0.0

• Initial CRAN submission.
• Updated installation instructions.

undidR 0.1.0

• Initial development version (not yet submitted to CRAN).
• Provides a framework for implementing difference-in-differences with unpoolable data.

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.