R-universe - mateusmaiads (Mateus Maia)

rjuliabugs - Interface to 'JuliaBUGS.jl' from R

Provides an R interface to the 'JuliaBUGS.jl' package (https://github.com/TuringLang/JuliaBUGS.jl) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the 'bayesplot' and 'posterior' packages.

Last updated

4.65 score 3 stars 6 scripts 477 downloads

randomMachines - An Ensemble Modeling using Random Machines

A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.

Last updated

2.74 score 1 stars 11 scripts 234 downloads