NEWS.md

In jlme: Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in 'Julia'

jlme (development version)

jlme 0.4.1

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

jlme 0.4.0

• 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

jlme 0.3.0

• 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.

jlme 0.2.0

• 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()

jlme 0.1.0

• CRAN release

jlme documentation built on April 3, 2025, 10:29 p.m.