Reference

Difference-in-Differences Methods Tools to compute average treatment effects, particularly in the case with multiple periods and variation in treatment timing
att_gt()	Group-Time Average Treatment Effects
aggte()	Aggregate Group-Time Average Treatment Effects
Pre-Testing Tools to compute “pre-test” the DiD assumption in the case where multiple periods are available
conditional_did_pretest()	Pre-Test of Conditional Parallel Trends Assumption
Plotting and Summarizing Tools for plotting and summarizing the results of the att_gt method and aggte method
ggdid()	Plot did objects using ggplot2
ggdid(<MP>)	Plot MP objects using ggplot2
ggdid(<AGGTEobj>)	Plot AGGTEobj objects
summary(<MP>)	summary.MP
summary(<AGGTEobj>)	Summary Aggregate Treatment Effect Parameter Objects
summary(<MP.TEST>)	summary.MP.TEST
print(<MP>)	print.MP
print(<AGGTEobj>)	print.AGGTEobj
Classes Classes available in the did package
MP()	MP
AGGTEobj()	AGGTEobj
MP.TEST()	MP.TEST
DIDparams()	DIDparams
Helper Functions A number of other miscellaneous helper functions
mboot()	Multiplier Bootstrap
test.mboot()	Multiplier Bootstrap for Conditional Moment Test
pre_process_did()	Process did Function Arguments
process_attgt()	Process Results from compute.att_gt()
indicator()	indicator
build_sim_dataset()	build_sim_dataset
reset.sim()	reset.sim
sim()	sim
trimmer()	trimmer
glance(<AGGTEobj>)	glance model characteristics from AGGTEobj objects
glance(<MP>)	glance model characteristics from MP objects
tidy(<AGGTEobj>)	tidy results from AGGTEobj objects
tidy(<MP>)	tidy results from MP objects
Data Available datasets in the package
mpdta	County Teen Employment Dataset
Package Documentation
did	Difference in Differences