##### https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
Tip revision: 4b355aa
dearevenue.jl
``````# This file contains functions for the Revenue Efficiency DEA model
"""
RevenueDEAModel
An data structure representing a revenue DEA model.
"""
struct RevenueDEAModel <: AbstractRevenueDEAModel
n::Int64
m::Int64
s::Int64
rts::Symbol
disposX::Symbol
dmunames::Union{Vector{AbstractString},Nothing}
eff::Vector
lambda::SparseMatrixCSC{Float64, Int64}
techeff::Vector
alloceff::Vector
Xtarget::Matrix
Ytarget::Matrix
end

"""
dearevenue(X, Y, P)
Compute revenue efficiency using data envelopment analysis for
inputs `X`, outputs `Y` and price of outputs `P`.

# Optional Arguments
- `rts=:VRS`: chooses variable returns to scale. For constant returns to scale choose `:CRS`.
- `dispos=:Strong`: chooses strong disposability of inputs. For weak disposability choose `:Weak`.
- `names`: a vector of strings with the names of the decision making units.
"""
function dearevenue(X::Union{Matrix,Vector}, Y::Union{Matrix,Vector},
P::Union{Matrix,Vector}; rts::Symbol = :VRS, dispos::Symbol = :Strong,
names::Union{Vector{<: AbstractString},Nothing} = nothing,
optimizer::Union{DEAOptimizer,Nothing} = nothing)::RevenueDEAModel

# Check parameters
nx, m = size(X, 1), size(X, 2)
ny, s = size(Y, 1), size(Y, 2)

np, sp = size(P, 1), size(P, 2)

if nx != ny
throw(DimensionMismatch("number of rows in X and Y (\$nx, \$ny) are not equal"));
end
if np != ny
throw(DimensionMismatch("number of rows in P and Y (\$np, \$ny) are not equal"));
end
if sp != s
throw(DimensionMismatch("number of columns in P and Y (\$sp, \$s) are not equal"));
end

if dispos != :Strong && dispos != :Weak
throw(ArgumentError("`disposY` must be :Strong or :Weak"));
end

# Default optimizer
if optimizer === nothing
optimizer = DEAOptimizer(:LP)
end

# Get maximum revenue targets and lambdas
n = nx

Xtarget = X[:,:]
Ytarget, rlambdaeff = deamaxrevenue(X, Y, P, rts = rts, dispos = dispos, optimizer = optimizer)

# Revenue, technical and allocative efficiency
refficiency  = vec( sum(P .* Y, dims = 2) ./ sum(P .* Ytarget, dims = 2) )
techefficiency = 1 ./ efficiency(dea(X, Y, orient = :Output, rts = rts, slack = false, disposX = dispos, optimizer = optimizer))
allocefficiency = refficiency ./ techefficiency
return RevenueDEAModel(n, m, s, rts, dispos, names, refficiency, rlambdaeff, techefficiency, allocefficiency, Xtarget, Ytarget)

end

ismonetary(model::RevenueDEAModel)::Bool = false;

function Base.show(io::IO, x::RevenueDEAModel)
compact = get(io, :compact, false)

n = nobs(x)
m = ninputs(x)
s = noutputs(x)
disposX = x.disposX
dmunames = names(x)

eff = efficiency(x)
techeff = efficiency(x, :Technical)
alloceff = efficiency(x, :Allocative)

if !compact
print(io, "Revenue DEA Model \n")
print(io, "DMUs = ", n)
print(io, "; Inputs = ", m)
print(io, "; Outputs = ", s)
print(io, "\n")
print(io, "Orientation = Output")
print(io, "; Returns to Scale = ", string(x.rts))
print(io, "\n")
if disposX == :Weak print(io, "Weak disposability of inputs \n") end

show(io, CoefTable(hcat(eff, techeff, alloceff), ["Revenue", "Technical", "Allocative"], dmunames))
end

end
``````