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fastdid 1.0.3

fastdid 1.0.2

• Fixed Typo for CRAN

fastdid 1.0.1

• Fixed Typo for CRAN

Version 1.0.0

• Release to CRAN!

Version 0.9.9

• add double did (see the vignette for the introduction)
• add parallel, parallization for unix systems, useful if the number of g-t is large.
• add full, return full result such as influence function, aggregate scheme, and such
• add min/max_dynamic, custom_scheme to experimental features

0.9.9.1 (2024/9/13): fix a bug that affects not-yet control with max treated group != max time

Version 0.9.4

Some BREAKING change is introduced in this update.

• add uniform confidence interval option with cband and significance level alpha, confidence interval are now provided in result as column att_ciub and att_cilb
• BREAKING: filtervar, max_control_cohort_diff, min_control_cohort_diff are moved into the experimental features. See the above section for the explanation.
• add max_dynamic and min_dynamic as experimental features.
• more informative error message when estimation fails for a specific gt, some internal interface overhaul

Version 0.9.3

• add anticipation and varying base period option
• add min and max control cohort difference
• add time-varying control (reference)
• add filtervar

0.9.3.1 (2024/5/24): fix the bug with univar == clustervar (TODO: address problems with name-changing and collision). 0.9.3.2 (2024/7/17): fix group_time result when using control_type = "notyet" and make the base period in plots adapt to anticipation. 0.9.3.3 (2024/7/22): fix anticipation out of bound problem, more permanent solution for group_time target problem

Version 0.9.2

• add support to doubly robust and outcome regression estimators
• add support to unbalanced panels (simple and ipw only)
• add support to balanced composition option in dynamics aggregation
• fixed argument checking that was not working properly
• set the default to copying the entire dataset to avoid unexpected modification of the original data (thanks @grantmcdermott for the suggestion.)

Version 0.9.1

• now supprts estimation for multiple outcomes in one go!
• data validation: no longer check missing values for columns not used.

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.