DiSCo_mixture {DiSCos} | R Documentation |
DiSCo_mixture
Description
The alternative mixture of distributions approach in the paper
Usage
DiSCo_mixture(controls1, target, grid.min, grid.max, grid.rand, M, simplex)
Arguments
controls1 |
A list of controls |
target |
The target unit |
grid.min |
Minimal value of the grid on which the CDFs are evaluated. |
grid.max |
Maximal value of the grid on which the CDFs are evaluated. |
grid.rand |
Random grid on which the CDFs are evaluated. |
M |
Integer indicating the number of control quantiles to use in the DiSCo method. Default is 1000. |
simplex |
Logical, indicating whether to use to constrain the optimal weights to the unit simplex. Default is FALSE, which only constrains the weights to sum up to 1 but allows them to be negative. |
Value
A list containing the following elements:
-
cdf
A matrix containing the CDFs of the target and control units evaluated on the grid. -
distance.opt
The optimal value of the Wasserstein distance. -
mean
The optimal value of the Wasserstein barycenter. -
target.order
The target unit, ordered. -
weights.opt
The optimal weights.