Error while using inspect function

1

Hello,
For a specific model, I was able to estimate parameters and run the code
inspect(fitted_Pumas_model). But when I am trying to convert it to a data frame using |> DataFrame,
I am getting the following error

[ Info: Calculating predictions.
[ Info: Calculating weighted residuals.
[ Info: Calculating empirical bayes.
[ Info: Done.
ERROR: LoadError: MethodError: no method matching isless(::Int64, ::String)
Closest candidates are:
  isless(::Union{Number, Dates.AbstractTime}, ::IntervalSets.ClosedInterval{T} where T) at /builds/PumasAI/PumasSystemImages-jl/.julia/packages/AxisArrays/FWWEV/src/intervals.jl:53
  isless(::Union{AbstractChar, AbstractString, Number}, ::CategoricalArrays.CategoricalValue) at /builds/PumasAI/PumasSystemImages-jl/.julia/packages/CategoricalArrays/rDwMt/src/value.jl:160
  isless(::Integer, ::ForwardDiff.Dual{Ty, V, N} where {V, N}) where Ty at /builds/PumasAI/PumasSystemImages-jl/.julia/packages/ForwardDiff/QOqCN/src/dual.jl:140
  ...
Stacktrace:
  [1] lt(o::Base.Order.ForwardOrdering, a::Int64, b::String)
    @ Base.Order ./ordering.jl:109
  [2] lt(o::DataFrames.DFPerm{Base.Order.ForwardOrdering, Tuple{Vector{Any}, Vector{Float64}}}, a::Int64, b::Int64)
    @ DataFrames /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/abstractdataframe/sort.jl:128
  [3] sort!(v::Vector{Int64}, lo::Int64, hi::Int64, a::Base.Sort.MergeSortAlg, o::DataFrames.DFPerm{Base.Order.ForwardOrdering, Tuple{Vector{Any}, Vector{Float64}}}, t::Vector{Int64})
    @ Base.Sort ./sort.jl:604
  [4] sort!
    @ ./sort.jl:586 [inlined]
  [5] sort!
    @ ./sort.jl:657 [inlined]
  [6] _sortperm
    @ /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/abstractdataframe/sort.jl:490 [inlined]
  [7] sort!(df::DataFrame, a::Base.Sort.MergeSortAlg, o::DataFrames.DFPerm{Base.Order.ForwardOrdering, Tuple{Vector{Any}, Vector{Float64}}})
    @ DataFrames /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/dataframe/sort.jl:89
  [8] sort!(df::DataFrame, cols::Vector{Symbol}; alg::Nothing, lt::Function, by::Function, rev::Bool, order::Base.Order.ForwardOrdering)
    @ DataFrames /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/dataframe/sort.jl:85
  [9] sort!
    @ /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/dataframe/sort.jl:74 [inlined]
 [10] _add_covariates(df::DataFrame, subject::Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}})
    @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/data_parsing/io.jl:919
 [11] DataFrame(subject::Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
    @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/data_parsing/io.jl:879
 [12] DataFrame(pred::Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
    @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:189
 [13] (::Base.Broadcast.var"#31#32"{Base.Iterators.Pairs{Symbol, Bool, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:include_covariates, :include_observations, :include_events), Tuple{Bool, Bool, Bool}}}, DataType})(args::Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}})
    @ Base.Broadcast ./broadcast.jl:1297
 [14] _broadcast_getindex_evalf
    @ ./broadcast.jl:648 [inlined]
 [15] _broadcast_getindex
    @ ./broadcast.jl:621 [inlined]
 [16] getindex
    @ ./broadcast.jl:575 [inlined]
 [17] copy
    @ ./broadcast.jl:922 [inlined]
 [18] materialize
    @ ./broadcast.jl:883 [inlined]
 [19] DataFrame(vpred::Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
    @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:227
 [20] DataFrame(fpmi::Pumas.FittedPumasModelInspection{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}, var"#5#61", var"#6#62", var"#8#64", var"#10#66", ODEProblem{Nothing, Tuple{Nothing, Nothing}, false, Nothing, ODEFunction{false, ModelingToolkit.ODEFunctionClosure{var"#11#67", var"#12#68"}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, var"#13#69", var"#37#93", ModelingToolkit.ODESystem}, Vector{Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}, Pumas.FOCE, Vector{Vector{Float64}}, NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg, :diffeq_options), Tuple{Pumas.DefaultOptimizeFN{Nothing, NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases), Tuple{Bool, Bool, Bool, Float64, Bool}}}, NamedTuple{(:Ω²_kel, :Ω²_vc, :σ²_prop, :A1, :A2, :F_CR1), Tuple{Float64, Float64, Float64, Int64, Int64, Int64}}, Tuple{}, EnsembleThreads, NamedTuple{(:reltol,), Tuple{Float64}}}}, ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{Pumas.ConstDomain{Int64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, Pumas.ConstDomain{Float64}, Pumas.ConstDomain{Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}}, Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}, Vector{Pumas.SubjectResidual{NamedTuple{(:cp,), Tuple{Vector{Float64}}}, NamedTuple{(:cp,), Tuple{Vector{Float64}}}, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}, Pumas.FOCE}}, NamedTuple{(:ebes,), Tuple{Vector{NamedTuple{(:η_kel, :η_vc), Tuple{Float64, Float64}}}}}, Nothing}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
    @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:1128
 [21] DataFrame
    @ /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:1128 [inlined]
 [22] |>(x::Pumas.FittedPumasModelInspection{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}, var"#5#61", var"#6#62", var"#8#64", var"#10#66", ODEProblem{Nothing, Tuple{Nothing, Nothing}, false, Nothing, ODEFunction{false, ModelingToolkit.ODEFunctionClosure{var"#11#67", var"#12#68"}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, var"#13#69", var"#37#93", ModelingToolkit.ODESystem}, Vector{Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}, Pumas.FOCE, Vector{Vector{Float64}}, NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg, :diffeq_options), Tuple{Pumas.DefaultOptimizeFN{Nothing, NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases), Tuple{Bool, Bool, Bool, Float64, Bool}}}, NamedTuple{(:Ω²_kel, :Ω²_vc, :σ²_prop, :A1, :A2, :F_CR1), Tuple{Float64, Float64, Float64, Int64, Int64, Int64}}, Tuple{}, EnsembleThreads, NamedTuple{(:reltol,), Tuple{Float64}}}}, ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{Pumas.ConstDomain{Int64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, Pumas.ConstDomain{Float64}, Pumas.ConstDomain{Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}}, Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}, Vector{Pumas.SubjectResidual{NamedTuple{(:cp,), Tuple{Vector{Float64}}}, NamedTuple{(:cp,), Tuple{Vector{Float64}}}, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:id, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}, Pumas.FOCE}}, NamedTuple{(:ebes,), Tuple{Vector{NamedTuple{(:η_kel, :η_vc), Tuple{Float64, Float64}}}}}, Nothing}, f::Type{DataFrame})
    @ Base ./operators.jl:858
 [23] top-level scope

Any idea, what this error means?

2

I think this might be because you are passing a variable named id as a covariate. If the id variable is really needed as a covariate, please try to rename it to something else and check if the issue persists.

3

Thanks, @andreasnoack!
I created a dummy variable and used it as covariate, This time I am getting the following error for inspect function…

[ Info: Calculating predictions.
[ Info: Calculating weighted residuals.
[ Info: Calculating empirical bayes.
[ Info: Done.
ERROR: LoadError: ArgumentError: column(s) amt, cmt, rate, duration, ss, ii, route and tad are missing from argument(s) 3
Stacktrace:
 [1] _vcat(dfs::Vector{AbstractDataFrame}; cols::Symbol)
   @ DataFrames /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/abstractdataframe/abstractdataframe.jl:1767
 [2] #reduce#125
   @ /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/abstractdataframe/abstractdataframe.jl:1687 [inlined]
 [3] reduce(::typeof(vcat), dfs::Vector{DataFrame})
   @ DataFrames /builds/PumasAI/PumasSystemImages-jl/.julia/packages/DataFrames/nxjiD/src/abstractdataframe/abstractdataframe.jl:1687
 [4] DataFrame(vpred::Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
   @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:227
 [5] DataFrame(fpmi::Pumas.FittedPumasModelInspection{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}, var"#641#697", var"#642#698", var"#644#700", var"#646#702", ODEProblem{Nothing, Tuple{Nothing, Nothing}, false, Nothing, ODEFunction{false, ModelingToolkit.ODEFunctionClosure{var"#647#703", var"#648#704"}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, var"#649#705", var"#673#729", ModelingToolkit.ODESystem}, Vector{Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}, Pumas.FOCE, Vector{Vector{Float64}}, NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg, :diffeq_options), Tuple{Pumas.DefaultOptimizeFN{Nothing, NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases), Tuple{Bool, Bool, Bool, Float64, Bool}}}, NamedTuple{(:Ω²_kel, :Ω²_vc, :σ²_prop, :A1, :A2, :F_CR1), Tuple{Float64, Float64, Float64, Int64, Int64, Int64}}, Tuple{}, EnsembleThreads, NamedTuple{(:reltol,), Tuple{Float64}}}}, ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{Pumas.ConstDomain{Int64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, Pumas.ConstDomain{Float64}, Pumas.ConstDomain{Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}}, Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}, Vector{Pumas.SubjectResidual{NamedTuple{(:cp,), Tuple{Vector{Float64}}}, NamedTuple{(:cp,), Tuple{Vector{Float64}}}, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}, Pumas.FOCE}}, NamedTuple{(:ebes,), Tuple{Vector{NamedTuple{(:η_kel, :η_vc), Tuple{Float64, Float64}}}}}, Nothing}; include_covariates::Bool, include_observations::Bool, include_events::Bool)
   @ Pumas /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:1128
 [6] DataFrame
   @ /builds/PumasAI/PumasSystemImages-jl/.julia/packages/Pumas/XHa5R/src/estimation/diagnostics.jl:1128 [inlined]
 [7] |>(x::Pumas.FittedPumasModelInspection{Pumas.FittedPumasModel{PumasModel{ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Float64, TransformVariables.Infinity{true}, Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}, var"#641#697", var"#642#698", var"#644#700", var"#646#702", ODEProblem{Nothing, Tuple{Nothing, Nothing}, false, Nothing, ODEFunction{false, ModelingToolkit.ODEFunctionClosure{var"#647#703", var"#648#704"}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, var"#649#705", var"#673#729", ModelingToolkit.ODESystem}, Vector{Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}, Pumas.FOCE, Vector{Vector{Float64}}, NamedTuple{(:optimize_fn, :constantcoef, :omegas, :ensemblealg, :diffeq_options), Tuple{Pumas.DefaultOptimizeFN{Nothing, NamedTuple{(:show_trace, :store_trace, :extended_trace, :g_tol, :allow_f_increases), Tuple{Bool, Bool, Bool, Float64, Bool}}}, NamedTuple{(:Ω²_kel, :Ω²_vc, :σ²_prop, :A1, :A2, :F_CR1), Tuple{Float64, Float64, Float64, Int64, Int64, Int64}}, Tuple{}, EnsembleThreads, NamedTuple{(:reltol,), Tuple{Float64}}}}, ParamSet{NamedTuple{(:A1, :A2, :B1, :B2, :B3, :F_CR1, :F_CR2, :F_CR3, :Ω²_kel, :Ω²_vc, :σ²_add), Tuple{Pumas.ConstDomain{Int64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, RealDomain{Int64, Int64, Float64}, Pumas.ConstDomain{Int64}, RealDomain{Int64, Int64, Float64}, RealDomain{Float64, Int64, Float64}, Pumas.ConstDomain{Float64}, Pumas.ConstDomain{Float64}, RealDomain{Int64, TransformVariables.Infinity{true}, Int64}}}}}, Vector{Pumas.SubjectPrediction{NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, NamedTuple{(:conc, :cp), Tuple{Vector{Float64}, Vector{Float64}}}, Nothing, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}}}, Vector{Pumas.SubjectResidual{NamedTuple{(:cp,), Tuple{Vector{Float64}}}, NamedTuple{(:cp,), Tuple{Vector{Float64}}}, Subject{NamedTuple{(:cp,), Tuple{Vector{Union{Missing, Float64}}}}, Pumas.ConstantCovar{NamedTuple{(:form, :dose), Tuple{Int64, Int64}}}, Vector{Pumas.Event{Float64, Float64, Float64, Float64, Float64, Float64, Int64}}, Vector{Float64}}, Pumas.FOCE}}, NamedTuple{(:ebes,), Tuple{Vector{NamedTuple{(:η_kel, :η_vc), Tuple{Float64, Float64}}}}}, Nothing}, f::Type{DataFrame})
   @ Base ./operators.jl:858
 [8] top-level scope
4

Is it possible that some subjects have dosing events while others don’t?

5

Yes, thank you, @andreasnoack! It was missing a dosing event for one of the subjects.