Unable to interpret the fitting error

Hello,

Just a follow up on my question, after I modified the param block, the fitting process works, but the infer(fit) returned an error that it could not calculate the SE, the complete codes and error message is shown below.

Codes:

@time using Distributions, Pumas, CSV, TableView, StatsPlots, DataFrames

ped_mod = @model begin

    @param   begin


      θ ~ MvNormal([16.6,13.1,4.05,4.89,0.623,0,0,0],
      Matrix{Float64}([0.0895	0.0167	0.00318	0.0033	0.000907	0	0	0;
                       0.0167	0.0655	-0.00765	0.00333	-0.000917	0	0	0;
                       0.00318	-0.00765	0.0238	0.0147	-0.000225	0	0	0;
                       0.0033	0.00333	0.0147	0.0161	-0.000243	0	0	0;
                       0.000907	-0.000917	-0.000225	-0.000243	0.0016	0	0	0;
                       0	0	0	0	0	1000000	0	0;
                       0	0	0	0	0	0	1000000	0;
                       0	0	0	0	0	0	0	1000000]))


      Ω  ∈ PDiagDomain(3)


      σ_prop ∈ RealDomain(lower = 0)

    end

    @random begin
      η ~ MvNormal(Ω)
    end

    @covariates WTKG  CRCL

    @pre begin

    COV1=(CRCL/100)^θ[5]
    COV2=(WTKG/70)^θ[6]
    COV3=(WTKG/70)^θ[7]
    COV4=(WTKG/70)^θ[8]


    TVCLI = θ[1]*COV1*COV4
    TVCL  = TVCLI

    TVV1I = θ[2]*COV2
    TVV1  = TVV1I

    TVQI  = θ[3]
    TVQ   = TVQI

    TVV2I = θ[4]*COV3
    TVV2  = TVV2I

    CL  = TVCL*exp(η[1])
    V1  = TVV1*exp(η[2])
    Q   = TVQ
    V2  = TVV2*exp(η[3])

    Vc = V1
    Vp = V2

    S1 = V1


    KE  = CL/V1
    K12 = Q/V1
    K21 = Q/V2
    AA = KE+K12+K21
    ALPH = (AA+sqrt(AA*AA-4*KE*K21))/2
    BETA = (AA-sqrt(AA*AA-4*KE*K21))/2

    end

    @dynamics Central1Periph1 #a two compartment model



    @derived begin
        cp = @. 1000*(Central/Vc)
        DV ~ @. Normal(cp, ((cp^2*σ_prop)))
      end
  end


  inputDataset = CSV.read("dat.csv")


  df = read_pumas(inputDataset, id = :ID, dvs =[:DV],  cvs=[:WTKG, :CRCL], evid=:EVID, amt=:AMT,cmt=:CMT, rate=:RATE, time=:TIME)


param = (
    θ=([18,14.2,2.13,4.29,1,1,1,1]),
    Ω  = Diagonal([0.25,0.25,0.25]),
    σ_prop = 0.04)



  pkres = fit(ped_mod, df, param, Pumas.FOCEI(),
              optimize_fn=Pumas.DefaultOptimizeFN(show_trace=true, extended_trace=false))


coeftable(pkres)


pkinfer = infer(pkres)
coeftable(pkinfer)

Error message:

 infer(pkres)
Calculating: variance-covariance matrix. Done.
Asymptotic inference results

Successful minimization:                true

Likelihood approximation:        Pumas.FOCEI
Deviance:                          614.17262
Total number of observation records:     133
Number of active observation records:    115
Number of subjects:                       35

Error showing value of type Pumas.FittedPumasModelInference{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}},var"#659#714",var"#660#715",var"#661#717",Central1Periph1,var"#662#718",var"#688#744"},Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantCovar{NamedTuple{(:WTKG, :CRCL),Tuple{Float64,Float64}}},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Int64},1},Array{Float64,1},Float64},1},Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat},Float64,Array{Float64,1},Float64,Float64,Array{Optim.OptimizationState{Float64,Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat}},1},Bool},Pumas.FOCEI,Array{Array{Float64,1},1},Tuple{},NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg),Tuple{Pumas.DefaultOptimizeFN{Nothing,NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases),Tuple{Bool,Bool,Bool,Float64,Bool}}},NamedTuple{,Tuple{}},Tuple{},EnsembleSerial}},ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}}},Array{Float64,2},Float64}:
ERROR: MethodError: no method matching tostderrortransform(::MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}})
Closest candidates are:
  tostderrortransform(::ParamSet) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\transforms.jl:321
  tostderrortransform(::ConstDomain) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\transforms.jl:323
  tostderrortransform(::Pumas.Domain) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\transforms.jl:322
Stacktrace:
 [1] map(::typeof(Pumas.tostderrortransform), ::Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}) at .\tuple.jl:159
 [2] map(::Function, ::NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}) at .\namedtuple.jl:169
 [3] tostderrortransform(::ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}}) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\transforms.jl:321
 [4] stderror(::Pumas.FittedPumasModelInference{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}},var"#659#714",var"#660#715",var"#661#717",Central1Periph1,var"#662#718",var"#688#744"},Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantCovar{NamedTuple{(:WTKG, :CRCL),Tuple{Float64,Float64}}},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Int64},1},Array{Float64,1},Float64},1},Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat},Float64,Array{Float64,1},Float64,Float64,Array{Optim.OptimizationState{Float64,Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat}},1},Bool},Pumas.FOCEI,Array{Array{Float64,1},1},Tuple{},NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg),Tuple{Pumas.DefaultOptimizeFN{Nothing,NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases),Tuple{Bool,Bool,Bool,Float64,Bool}}},NamedTuple{,Tuple{}},Tuple{},EnsembleSerial}},ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}}},Array{Float64,2},Float64}) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\inference.jl:17
 [5] coeftable(::Pumas.FittedPumasModelInference{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}},var"#659#714",var"#660#715",var"#661#717",Central1Periph1,var"#662#718",var"#688#744"},Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantCovar{NamedTuple{(:WTKG, :CRCL),Tuple{Float64,Float64}}},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Int64},1},Array{Float64,1},Float64},1},Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat},Float64,Array{Float64,1},Float64,Float64,Array{Optim.OptimizationState{Float64,Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat}},1},Bool},Pumas.FOCEI,Array{Array{Float64,1},1},Tuple{},NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg),Tuple{Pumas.DefaultOptimizeFN{Nothing,NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases),Tuple{Bool,Bool,Bool,Float64,Bool}}},NamedTuple{,Tuple{}},Tuple{},EnsembleSerial}},ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}}},Array{Float64,2},Float64}) at C:\Users\juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\show.jl:200
 [6] show(::IOContext{REPL.Terminals.TTYTerminal}, ::MIME{Symbol("text/plain")}, ::Pumas.FittedPumasModelInference{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}},var"#659#714",var"#660#715",var"#661#717",Central1Periph1,var"#662#718",var"#688#744"},Array{Subject{NamedTuple{(:DV,),Tuple{Array{Union{Missing, Float64},1}}},Pumas.ConstantCovar{NamedTuple{(:WTKG, :CRCL),Tuple{Float64,Float64}}},Array{Pumas.Event{Float64,Float64,Float64,Float64,Float64,Float64,Int64},1},Array{Float64,1},Float64},1},Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat},Float64,Array{Float64,1},Float64,Float64,Array{Optim.OptimizationState{Float64,Optim.BFGS{LineSearches.InitialStatic{Float64},LineSearches.BackTracking{Float64,Int64},Pumas.var"#253#254"{NLSolversBase.OnceDifferentiable{Float64,Array{Float64,1},Array{Float64,1}},Array{Float64,1}},Nothing,Optim.Flat}},1},Bool},Pumas.FOCEI,Array{Array{Float64,1},1},Tuple{},NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg),Tuple{Pumas.DefaultOptimizeFN{Nothing,NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases),Tuple{Bool,Bool,Bool,Float64,Bool}}},NamedTuple{,Tuple{}},Tuple{},EnsembleSerial}},ParamSet{NamedTuple{(:θ, :Ω, :σ_prop),Tuple{MvNormal{Float64,PDMats.PDMat{Float64,Array{Float64,2}},Array{Float64,1}},PDiagDomain{PDMats.PDiagMat{Float64,Array{Float64,1}}},RealDomain{Int64,TransformVariables.Infinity{true},Float64}}}}},Array{Float64,2},Float64}) at C:\Users\.juliapro\JuliaPro_v1.4.2-2\packages\Pumas\NCmSe\src\estimation\show.jl:237
 [7] display(::REPL.REPLDisplay, ::MIME{Symbol("text/plain")}, ::Any) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:137
 [8] display(::REPL.REPLDisplay, ::Any) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:141
 [9] display(::Any) at .\multimedia.jl:323
 [10] #invokelatest#1 at .\essentials.jl:712 [inlined]
 [11] invokelatest at .\essentials.jl:711 [inlined]
 [12] print_response(::IO, ::Any, ::Bool, ::Bool, ::Any) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:161
 [13] print_response(::REPL.AbstractREPL, ::Any, ::Bool, ::Bool) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:146
 [14] (::REPL.var"#do_respond#38"{Bool,Atom.var"#250#251",REPL.LineEditREPL,REPL.LineEdit.Prompt})(::Any, ::Any, ::Any) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:729
 [15] #invokelatest#1 at .\essentials.jl:712 [inlined]
 [16] invokelatest at .\essentials.jl:711 [inlined]
 [17] run_interface(::REPL.Terminals.TextTerminal, ::REPL.LineEdit.ModalInterface, ::REPL.LineEdit.MIState) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\LineEdit.jl:2354
 [18] run_frontend(::REPL.LineEditREPL, ::REPL.REPLBackendRef) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:1055
 [19] run_repl(::REPL.AbstractREPL, ::Any) at C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\REPL\src\REPL.jl:206
 [20] (::Base.var"#764#766"{Bool,Bool,Bool,Bool})(::Module) at .\client.jl:383
 [21] #invokelatest#1 at .\essentials.jl:712 [inlined]
 [22] invokelatest at .\essentials.jl:711 [inlined]
 [23] run_main_repl(::Bool, ::Bool, ::Bool, ::Bool, ::Bool) at .\client.jl:367
 [24] exec_options(::Base.JLOptions) at .\client.jl:305
 [25] _start() at .\client.jl:484

Thanks!
Anqi