Is this method error expected?

[amrods]

using Optim
using ComponentArrays
using UnPack

function rosenbrock(ca)
    @unpack x, y = ca
    (1.0 - x)^2 + 100.0 * (y - x^2)^2
end

ca = ComponentArray{Float64}(x=2.0, y=2.0)
optimize(rosenbrock, ca, Newton())

ERROR: LoadError: MethodError: no method matching (::NLSolversBase.var"#fg!#45"{typeof(rosenbrock)})(::ComponentVector{Float64}, ::ComponentVector{Float64})
Stacktrace:
 [1] value_gradient!!(obj::TwiceDifferentiable{Float64, ComponentVector{Float64}, ComponentMatrix{Float64}, ComponentVector{Float64}}, x::ComponentVector{Float64})
   @ NLSolversBase ~/.julia/packages/NLSolversBase/geyh3/src/interface.jl:82
 [2] initial_state(method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, Nothing}, d::TwiceDifferentiable{Float64, ComponentVector{Float64}, ComponentMatrix{Float64}, ComponentVector{Float64}}, initial_x::ComponentVector{Float64})
   @ Optim ~/.julia/packages/Optim/uwNqi/src/multivariate/solvers/second_order/newton.jl:45
 [3] optimize
   @ ~/.julia/packages/Optim/uwNqi/src/multivariate/optimize/optimize.jl:35 [inlined]
 [4] #optimize#87
   @ ~/.julia/packages/Optim/uwNqi/src/multivariate/optimize/interface.jl:142 [inlined]
 [5] optimize(f::Function, initial_x::ComponentVector{Float64}, method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, Nothing}) (repeats 2 times)
   @ Optim ~/.julia/packages/Optim/uwNqi/src/multivariate/optimize/interface.jl:141
 [6] top-level scope
   @ ~/amrods/test.jl:52
in expression starting at /Users/amrods/test.jl:52

[amrods]

If I request auto-differentiation, the error can be avoided:

julia> optimize(rosenbrock, ca, Newton(); autodiff=:forward)
 * Status: success

 * Candidate solution
    Final objective value:     0.000000e+00

 * Found with
    Algorithm:     Newton's Method

 * Convergence measures
    |x - x'|               = 3.77e-09 ≰ 0.0e+00
    |x - x'|/|x'|          = 3.77e-09 ≰ 0.0e+00
    |f(x) - f(x')|         = 3.65e-18 ≰ 0.0e+00
    |f(x) - f(x')|/|f(x')| = Inf ≰ 0.0e+00
    |g(x)|                 = 0.00e+00 ≤ 1.0e-08

 * Work counters
    Seconds run:   0  (vs limit Inf)
    Iterations:    15
    f(x) calls:    45
    ∇f(x) calls:   45
    ∇²f(x) calls:  15

julia> optimize(rosenbrock, ca, Newton(); autodiff=:finite)
ERROR: MethodError: no method matching (::NLSolversBase.var"#fg!#45"{typeof(rosenbrock)})(::ComponentVector{Float64}, ::ComponentVector{Float64})

perhaps the problem is with Optim.jl.