handle_bootstrap
Helper function for calculating bootstrapped estimates for the QOI. This version is not parallelized.
handle_bootstrap( qoi.in, data.in, lead, number.iterations, att.treated.unit.ids, atc.treated.unit.ids, outcome.variable, unit.id.variable, confidence.level, lag, pooled )
qoi.in
: String specifying qoidata.in
: data.frame object with the datanumber.iterations
: integer. Specifies number of bootstrap iterationsatt.treated.unit.ids
: Integer vector specifying the treated units for the att or artatc.treated.unit.ids
: Integer vector specifying the "treated" units under the atc definitionoutcome.variable
: string specifying the name of the outcome variableunit.id.variable
: string specifying the name of the unit id variableconfidence.level
: double. specifies confidence level for confidence intervallag
: integer vector specifying size of the lag.pooled
: logical. Specifies whether or not to calculate point estimates for each specified lead value, or a single pooled estimate.Returns a matrix of bootstrapped QOI estimate values.
Useful links