evaluate_solution.optim

0th

Percentile

Evaluate MSE Equation (using optim)

This function calls evaluate_solution, but since optim requires fn and gr to have the same parameters, it has two additional ones.

Keywords
treatment, optim, Assignment, MSE
Usage
evaluate_solution.optim(par,
data,
change = NULL,
prev_index_list = NULL)
Arguments
par

a treatment assignment. The treatment and the data must have the same number of observations (rows).

data

a dataframe containing the covariate vectors for each attribute.

change

the parameter is only needed for optim, it does not play any role.

prev_index_list

the parameter is only needed for optim, it does not play any role.

Value

Returns the mean square error value for the current treatment assignment.

References

ginv, optim

Aliases
• evaluate_solution.optim
Examples
# NOT RUN {
input <- data.frame(c(10, 20, 30, 40, 130, 40, 120, 5, 10, 80),
c(2, 6, 2, 8, 1, 10, 9, 8, 7, 5),
c(1, 0, 2, 1, 0, 1, 0, 2, 1, 0))