Showing 3 of total 3 results (show query)
juliainterop
JuliaCall:Seamless Integration Between R and 'Julia'
Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Maintained by Changcheng Li. Last updated 4 months ago.
270 stars 12.33 score 380 scripts 8 dependents
jackdunnnz
iai:Interface to 'Interpretable AI' Modules
An interface to the algorithms of 'Interpretable AI' <https://www.interpretable.ai> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.
Maintained by Jack Dunn. Last updated 6 months ago.
1 stars 2.00 score 7 scripts
s3alfisc
JuliaConnectoR.utils:Utility Functions for the JuliaConnectoR
Utility functions for the JuliaConnectoR package for developers and users. Helps users of R packages that link R and Julia via JuliaConnectoR to install Julia and Julia dependencies, to connect R and Julia, to set the number of threads Julia uses from within R and to set a Julia seed from R. Helps developers to set up a github actions workflow to run both R and Julia.
Maintained by Alexander Fischer. Last updated 3 years ago.
2 stars 2.00 score 6 scripts