Equivalence Testing for Pre-Trends in Difference-in-Differences Designs

---

Documentation for package ‘EquiTrends’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

EquiTrends-package	Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
boot_optimization_function	Finding the restricted placebo coefficients for the maximum equivalence test based on the bootstrap approaches
EquiTrends	Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
EquiTrends_dataconstr	Data Construction Function for EquiTrends
EquiTrends_inputcheck	Input Checks Function for EquiTrends
maxEquivTest	Equivalence Test for Pre-trends based on the Maximum Absolute Placebo Coefficient
maxTestBoot_func	An internal function of the EquiTrends Maximum Equivalence Testing procedure using the Bootstrap approaches.
maxTestIU_func	An internal function of the EquiTrends Maximum Equivalence Testing procedure using the Intersection Union approach.
maxTestIU_optim_func	Finding the minimum equivalence threshold for the equivalence test based on the IU procedure for the maximum placebo coefficient.
maxTest_error	Additional input checks for the maxEquivTest function
meanEquivTest	Equivalence Test for Pre-trends based on the Mean Placebo Coefficient
meanTest_func	An internal function of the EquiTrends Mean Equivalence Testing procedure
meanTest_optim_func	Finding the minimum equivalence threshold for the mean equivalence test
print.maxEquivTestBoot	Print maxEquivTestBoot objects
print.maxEquivTestIU	Print maxEquivTestIU objects
print.meanEquivTest	Print meanEquivTest objects
print.rmsEquivTest	Print rmsEquivTest objects
rmsEquivTest	Equivalence Test for Pre-trends based on the RMS Placebo Coefficient
rmsTest_error	Additional input checks for the rmsEquivTest function
rmsTest_func	An internal function of the RMS Equivalence Testing procedure
sigma_hathat_c	Calculating the constrained variance of the residuals for the Boostrap approaches in the EquiTrends Maximum Equivalence Testing procedure, according to Dette & Schumann (2024).
sim_check	Checking input for the sim_paneldata function
sim_paneldata	Simulating a panel data for a binary treatment
W_critical_value	Calculating the critical value for the W distribution as construced in Dette & Schumann (2024).