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{JuliaConnectoR} dependency to improve discovery
of Julia executable.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
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.
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()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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