raptr (version 1.0.1)

solve: Solve RAP object

Description

This function uses Gurobi to find prioritizations using the input parameter and data stored in a RapUnsolved() object, and returns a RapSolved() object with outputs in it.

Usage

# S4 method for RapUnsolOrSol,missing
solve(a, b, ..., verbose = FALSE)
# S4 method for RapUnsolOrSol,GurobiOpts
solve(a, b, verbose = FALSE)
# S4 method for RapUnsolOrSol,matrix
solve(a, b, verbose = FALSE)
# S4 method for RapUnsolOrSol,numeric
solve(a, b, verbose = FALSE)
# S4 method for RapUnsolOrSol,logical
solve(a, b, verbose = FALSE)

Value

RapSolved() object

Arguments

a

RapUnsolved() or RapSolved() object.

b

missing to generate solutions using Gurobi. Prioritizations can be specified using logical, numeric, or base::matrix() objects. This may be useful for evaluating the performance of solutions obtained using other software.

...

not used.

verbose

logical should messages be printed during creation of the initial model matrix?.

See Also

RapUnsolved(), RapSolved().

Examples

if (FALSE) {
# load RapUnsolved object
data(sim_ru)
# solve it using Gurobi
sim_rs <- solve(sim_ru)

# evaluate manually specified solution using planning unit indices
sim_rs2 <- solve(sim_ru, seq_len(10))

# evaluate manually specifed solution using binary selections
sim_rs3 <- solve(sim_ru, c(rep(TRUE, 10), rep(FALSE, 90)))

#  evaluate multiple manually specified solutions
sim_rs4 <- solve(sim_ru, matrix(sample(c(0, 1), size = 500, replace = TRUE),
                 ncol = 100, nrow = 5))
}