DiSCo_CI_iter {DiSCos} | R Documentation |
DiSCo_CI_iter
Description
Function for computing the confidence intervals in the DiSCo method in a single period
Usage
DiSCo_CI_iter(
t,
controls_t,
target_t,
grid,
T0,
M = 1000,
evgrid = seq(from = 0, to = 1, length.out = 1001),
qmethod = NULL,
qtype = 7,
mixture = FALSE,
simplex = FALSE,
replace = TRUE
)
Arguments
t |
Time period |
controls_t |
List of control unit data for given period |
target_t |
List of target unit data for given period |
grid |
Grid to recompute the CDF on if |
T0 |
Index of the last pre-treatment period |
M |
Integer indicating the number of control quantiles to use in the DiSCo method. Default is 1000. |
qmethod |
Character, indicating the method to use for computing the quantiles of the target distribution. The default is NULL, which uses the |
qtype |
Integer, indicating the type of quantile to compute when using |
mixture |
Logical, indicating whether to use the mixture of distributions approach instead.
See Section 4.3. in Gunsilius (2023). This approach minimizes the distance between the CDFs
instead of the quantile functions, and is preferred for categorical variables. When working with such variables, one should
also provide a list of support points in the |
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. |
replace |
Logical, indicating whether to sample with replacement when computing the bootstrap samples. Default is TRUE. |
Value
The resampled counterfactual barycenter of the target unit