generate_W_base_and_sort {OptimalRerandExpDesigns} | R Documentation |
Generate Base Assignments and Sorts
Description
Generates the base vectors to be used when locating the optimal rerandomization threshold
Usage
generate_W_base_and_sort(
X,
max_designs = 25000,
imbalance_function = "mahal_dist",
r = 0,
max_max_iters = 5
)
Arguments
X |
The data as an |
max_designs |
The maximum number of designs. Default is 25,000. |
imbalance_function |
A string indicating the imbalance function. Currently, "abs_sum_difference" and "mahal_dist" are the options with the latter being the default. |
r |
An experimental feature that adds lower imbalance vectors
to the base set using the |
max_max_iters |
An experimental feature that adds lower imbalance vectors
to the base set using the |
Value
A list including all arguments plus a matrix W_base_sorted
whose max_designs
rows are n
-length allocation vectors
and the allocation vectors are in
Author(s)
Adam Kapelner
Examples
n = 100
p = 10
X = matrix(rnorm(n * p), nrow = n, ncol = p)
X = apply(X, 2, function(xj){(xj - mean(xj)) / sd(xj)})
S = 1000
W_base_obj = generate_W_base_and_sort(X, max_designs = S)
W_base_obj