Changes in version 1.1.1 (2026-01-26)                  

Bug fixes and minor improvements

  - When the argument epsilon to profileCI() is negative, monotonic
    cubic spline interpolation is now used instead of quadratic
    interpolation. Quadratic interpolation could fail in some cases.
  - In the documentation of the argument object to profileCI() it is
    emphasized that the parameters in the fitted model object must have
    names.
  - Fixed bugs in profileCI-internal.R to avoid storing some slightly
    incorrect parameter values near the confidence limits in the
    attribute "for_plot" in the returned object.

                 Changes in version 1.1.0 (2025-07-11)                  

New features

  - An argument flat has been added to profileCI() to deal with cases
    where one or both of the limits is (minus or plus) infinity because
    the profile log-likelihood fails to drop below the level that
    defines the confidence interval.
  - Arguments lb and ub have been added to profileCI() to place
    respective lower and upper bounds on the interval over which
    profiling takes place.
  - A logLikFn method has been added for objects inheriting from class
    nls and an example added to the documentation of profileCI().

Bug fixes and minor improvements

  - The argument optim_args actually works now! Thank you to Jakob
    Madsen (#1).
  - An explanation of the creation of coef and vcov methods has been
    added to the description of object in the profileCI() documentation.
  - Arguments to the user-supplied log-likelihood function are extracted
    explicitly to simplify the code and avoid potential argument
    matching issues.