Changes in version 0.4.2                        

  - Strip extra classes from R dataframes before converting to Julia

                 Changes in version 0.4.1 (2024-11-27)                  

  - Bump {JuliaConnectoR} dependency to improve discovery of Julia
    executable.

                 Changes in version 0.4.0 (2024-10-09)                  

  - New argument jlmer(fit = TRUE). If FALSE, returns the unfit model
    object.

  - New function jl_dict() to construct a Dictionary object using list()
    syntax.

  - Experimental support for MixedModels.profile() via
    profilelikelihood() with a tidy() method

  - Experimental implementation of an interface to setting OptSummary
    values via jlmer(optsum = list(...)).

  - New model helper function likelihoodratiotest() for conducting
    likelihood-ratio tests on nested models

                 Changes in version 0.3.0 (2024-09-17)                  

  - Better detection of Julia executable

  - New function jl() to evaluate Julia expressions from string and
    return Julia objects, with options for interpolation of R objects
    via ....

  - New functions jl_get() and jl_put(), wrappers around
    JuliaConnectoR::juliaGet() and JuliaConnectoR::juliaPut().

  - parametricbootstrap() gains a optsum_overrides argument which
    accepts a list of values to override in the model OptSummary.

  - parametricbootstrap() now prints progress to the console.

                 Changes in version 0.2.0 (2024-08-31)                  

  - Experimental support for MixedModels.parametricbootstrap() via
    parametricbootstrap() with a tidy() method.

  - jlme_setup() gains an add argument which accepts a character vector
    of additional Julia libraries to install and load on initializing
    the session.

  - Some common workflows in MixedModels.jl have been re-exported as
    functions: propertynames(), issingular()

                 Changes in version 0.1.0 (2024-07-02)                  

  - CRAN release