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Data Source:

Upload CSV

Simulate data

Choose CSV File

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Columns = features/covariates, rows = units.

Number of units (rows)

Number of covariates (columns)

Number Treated (n_treated)

Randomization Type:

Acceptance Probability (stringency)

Max Draws (MC)

Batch Size (MC)

Outcome Data (Y):

Simulate Y

Upload CSV

True Effect (simulate)

Noise SD for Y

Choose CSV File with outcome vector Y

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Single column with length = #units.

Compute Fiducial Interval?

Note: Relative speedups greatest for large number of accepted randomizations.