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print.summary.sdid_mdl.detrend() and detrend_factor()
functions to facilitate trend-adjusted staggered DiD modelingsdid() to throw errors if
the specified time_var is a Date data typeave_coeff()sdid()summary.sdid()
to be unpredictable when one or more coefficients are NAsdid() to throw an error
if there are other columns in the data frame whose names contain the
name of the cohort variableave_coeff()ave_coeff() that facilitates
producing event-study and calendar time summaries from a
sdid objectselect_terms() not properly
sanitizing coefficient namesThese 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.