Fix minimum Julia version requirement from 1.6 to 1.10

[ChrisRackauckas-Claude]

Summary

The minimum Julia version bound in DESCRIPTION was incorrect. Changed from Julia (>= 1.6) to Julia (>= 1.10) to match actual dependency requirements.

Analysis

I analyzed the current dependency requirements and found that the minimum Julia version bound of >= 1.6 is too low:

Current Code Requirements

The package uses complete(odesys, split=false) in R/diffeqr.R:

# Line 76
new_prob <- JuliaCall::julia_eval("ODEProblem(complete(odesys, split=false), [], tspan; jac=true)")

# Line 107  
new_prob <- JuliaCall::julia_eval("SDEProblem(complete(sdesys, split=false), [], tspan; jac=true)")

Dependency Version Requirements

1. DifferentialEquations.jl requires Julia >= 1.10

   • This requirement was introduced in DifferentialEquations.jl v8.0.0 (October 10, 2025)
   • Previous versions required Julia >= 1.9

2. ModelingToolkit.jl v9.0.0+ requires Julia >= 1.9

   • Released February 22, 2024
   • Introduced the requirement to call complete() before creating problems (PR #2436)
   • The split parameter for complete() was added in this version

3. diffeqr code was updated to use complete(odesys, split=false) in PR fix: use split=false when jit-ing system, rely on defaults #46 (November 20, 2024)

   • This follows the same pattern as diffeqpy PR #149
   • Requires ModelingToolkit.jl v9.0.0+ which needs Julia >= 1.9

Conclusion

Since DifferentialEquations.jl (the primary dependency) requires Julia >= 1.10, the minimum Julia version for diffeqr must be 1.10.

Impact

This change correctly documents the actual minimum Julia version required. Users attempting to use diffeqr with Julia 1.6-1.9 would encounter errors with current versions of DifferentialEquations.jl and ModelingToolkit.jl.

Testing

No code changes were made - this is purely a documentation fix in the DESCRIPTION file to match actual dependency requirements.

cc @ChrisRackauckas

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