Comments (4)
pkofod
commented on August 16, 2024
1
Do we still need standard_error as a function?
Yes it is a good idea to have a function that simply grabs the field and returns it. That way users don't (have to) access the fields directly. It gives us more flexibility wrt changing names of things and so on.
from lsqfit.jl.
pkofod
commented on August 16, 2024
We could have a standard_error function and a confidence_interval function instead, is that sort of what you're asking for?
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AndiMD
commented on August 16, 2024
Yes, I think this would definitely be useful.
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iewaij
commented on August 16, 2024
Sounds good, I'll be working on them. The PR adding goodness of fit seems to have standard_error as a field. Do we still need standard_error as a function?
from lsqfit.jl.
Related Issues (20)
- Named parameters
- Progress bar HOT 1
- Support for NTuple inputs and outputs
- Fitting of 2D data is broken HOT 1
- Exports from `StatsBase`
- Release HOT 5
- n_buffer has wrong dimensions HOT 2
- More documentation issues HOT 1
- Trust - Region
- No method matching curve_fit HOT 1
- (1) hoping you won't remove lmfit, and (2) seeking help re Geodesic acceleration HOT 2
- Citing LsqFit.jl HOT 1
- Support for CUDA HOT 4
- Support for geodesic accelaration with vector function
- Feature request: Seeking stopval or callback, to give greater control over stopping criteria HOT 1
- Weighted LSQfit fails, Message: DomainError [...] sqrt will only return a complex result if called with a complex argument. HOT 4
- Proposal: Add more verbose interface HOT 3
- `stderror` throws `LinearAlgebra.LAPACKException(1)` with weighted least squares fitting. HOT 4
- Geodesic Acceleration 3D function
- Problems using Lsqfit inside a module in Julia 1.8.5 HOT 1
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from lsqfit.jl.