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Changelog

This documents notable changes in CurveFit.jl. The format is based on Keep a Changelog.

v1.10.1 - 2026-07-01

Fixed

  • Fixed the residuals space of ModifiedKingCurveFitAlgorithm, previously they were in E² space but now they're calculated in velocity space such that they're consistent with the standard definition of residuals = y - ŷ (#116).
  • The reinit!() method for NonlinearCurveFitProblem's will now explicitly throw an error when invalid inputs are given (e.g. arrays of the wrong length) to prevent internal corruption (#116).
  • Fixed the residuals and statistics calculations for polynomial fits, previously they were computed from corrupted data (#116).
  • Solving with ExpSumFitAlgorithm will no longer modify the input x/y arrays, and will return a vector of residuals instead of a (n, 1) matrix (#116).
  • Fixed various statistics methods when using residual-only functions with NonlinearCurveFitProblem, as well as adding support for sigma with such such functions (#116)

v1.10.0 - 2026-06-28

Added

Fixed

  • Fixed the statistics functions for ExpSumFitAlgorithm to handle withconst=true correctly (#115).
  • Fixed sol(x::Number) of ExpSumFitAlgorithm to return scalars for consistency with the other solutions (#115).
  • Previously the original CurveFitProblem from a nonlinear fit was always copied into the solution, even after calling reinit!(cache, ...). This meant that the statistics functions like margin_error() etc would incorrectly return values for the original problem rather than the one actually solved. Now sol.prob is reconstructed using the correct inputs (#115).

v1.9.4 - 2026-06-28

Changed

  • Previously nonlinear fits would compute the residuals as ŷ − y, they are now computed as y − ŷ to be consistent with the linear fits (#114).

Fixed

v1.9.3 - 2026-06-26

Fixed

v1.9.2 - 2026-06-24

Changed

  • Various improvements to CI.

v1.9.1 - 2026-04-25

Fixed

  • Fixed support for reinit!()'ing nonlinear fit caches when using the new AutoSpecializeCallable wrapper from NonlinearSolve (#98).

v1.9.0 - 2026-04-24

Added

  • Added an absolute_sigma argument to vcov() and related functions to control whether the covariance matrix is rescaled by reduced χ² (#97).
  • Added a weighted argument to residuals() and related functions to control whether the returned residuals are scaled by the problem weights, if any (#97).

Changed

  • The resid field of CurveFitSolution now consistently stores the weighted residuals for both linear and nonlinear fits (#97). Previously the unweighted residuals were stored for linear fits.

Fixed

  • vcov() and related functions previously ignored the problem weights, they are now taken into account when present (#97).

v1.8.1 - 2026-04-13

Changed

  • Added support for SciMLBase v3 (#95).

v1.8.0 - 2026-04-07

Changed

  • Added support for RecursiveArrayTools 4.0 (#94).

v1.7.0 - 2026-03-02

Added

  • Added a precompilation workload to reduce TTFX (#90).

v1.6.0 - 2026-02-28

Added

  • Implemented support for bounds for some algorithms (#87).

v1.5.1 - 2026-02-16

Changed

  • Fixed compatibility with NonlinearSolveFirstOrder.jl v2 (#86).

v1.5.0 - 2026-02-14

Changed

  • CurveFit now depends only on NonlinearSolveFirstOrder.jl to reduce dependencies (#85). The default algorithm remains the same.

v1.4.0 - 2026-01-31

Added

  • Implemented margin_error() (#81).
  • Added support for standard deviation weights for linear fits (#80).

Changed

v1.3.0 - 2026-01-26

Added

  • Added support for standard deviation weights for nonlinear fits (#79).

Changed

  • Breaking: reinit!(::GenericNonlinearCurveFitCache) now takes in u0 as a keyword argument rather than a positional argument for consistency with NonlinearSolve.jl (#79).

Fixed

  • Fixed reinit!(::GenericNonlinearCurveFitCache) to allow passing a new x/y as well as u0 (#79).

v1.2.0 - 2026-01-21

Added