For a given data set where the LP program is not able to solve the optimum value for each unit, the bootstrap function will fail with an error message in the quantile-function when the confidence intervals are constructed. This is due to missing values in the bootstrapped efficiency scores. We need to add checks and validations to the bootstrap function so that missing values are catched and handled, and the user is informed.
For a given data set where the LP program is not able to solve the optimum value for each unit, the bootstrap function will fail with an error message in the
quantile
-function when the confidence intervals are constructed. This is due to missing values in the bootstrapped efficiency scores. We need to add checks and validations to the bootstrap function so that missing values are catched and handled, and the user is informed.