| generate_randomizations_R {fastrerandomize} | R Documentation |
Generate randomizations in base R, filtering by Hotelling's T^2 acceptance
Description
Base R function to either do exact enumeration or Monte Carlo random permutations, then keep the fraction whose T^2 is below the acceptance cutoff.
Usage
generate_randomizations_R(
n_units,
n_treated,
X,
accept_prob,
random_type,
max_draws,
batch_size
)
Arguments
n_units |
Integer, total number of units. |
n_treated |
Integer, number of units to be assigned to treatment. |
X |
Covariate matrix (n_units x p). |
accept_prob |
Numeric in [0, 1]: keep the fraction of randomizations that have the lowest T^2 up to this quantile. |
random_type |
Either "exact" or "monte_carlo". |
max_draws |
If 'random_type="monte_carlo"', how many permutations to sample. |
batch_size |
If 'random_type="monte_carlo"', how many permutations to handle per chunk. |
Value
A list with:
-
randomizations: a matrix (rows = accepted assignments). -
balance: numeric vector of T^2 values for each accepted assignment.
[Package fastrerandomize version 0.3 Index]