jl-helpers-utils: Helpers for converting model specifications in R to Julia...

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

Helpers for converting model specifications in R to Julia equivalents

Description

Helpers for converting model specifications in R to Julia equivalents

Usage

is_jl(x, type)

jl_put(x)

jl_get(x)

jl(expr, ..., .R = FALSE, .passthrough = FALSE)

jl_dict(...)

Arguments

x	An object
type	Type of Julia object to additional test for
expr	A string of Julia code
...	Interpolated elements. In the case of jl():. If all named, elements are introduced as Julia variables in the expr If all unnamed, elements are interpolated into expr via sprintf()
.R	Whether to simplify and return as R object, if possible.
.passthrough	Whether to return expr as-is if it's already a Julia object. Mostly for internal use.

Value

A Julia object of type ⁠<JuliaProxy>⁠

Examples

# (general) Use `jl()` to evaluate arbitrary Julia expressions from string
jl("1 .+ [1,3]")

# `jl()` takes elements in `...` that you can reference in the expression
jl("1 .+ a", a = c(1L, 3L)) # Named arguments are introduced as variables
jl("1 .+ %s", "[1,2]") # Unnamed arguments are interpolated via `sprintf()`

# Use `is_jl()` to test if object is a Julia (`<JuliaProxy>`) object
is_jl(jl("1"))

# Use `jl_put()` and `jl_get()` to transfer data between R and Julia
jl_put(1L)
identical(jl_get(jl_put(1L)), 1L)

# `jl_dict()` opinionatedly constructs a Dictionary data type
## Basic `list()`-like usage
jl_dict(age = 20:25, sex = c("M", "F"))
## Splats when a single list is supplied
jl_dict(list(a = 1, b = 2))
## Wrap scalars in `I()` to prevent vector conversion
jl_dict(a = 1:2, b = 3:4, c = I(5))

stop_julia()

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