nfj1380/mrIML: Multi Response Interpretable Machine Learning
This package aims to enable users to build and interpret multivariate machine learning models harnessing the tidyverse (tidy model syntax in particular). This package builds off ideas from Gradient Forests (Ellis et al 2012), ecological genomic approaches (Fitzpatrick and Keller, 2014) and multi-response stacking algorithms (Xing et al 2019).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Nick Fountain-Jones<nfountainjones@gmail.com> Gustavo Machado<gmachad@ncsu.edu> Chris Kozakiewicz<cpkoz@msu.edu> Nick Clark<Nicholas.J.Clark1214@gmail.com> |
| Maintainer | Nick Fountain-Jones<nfountainjones@email.com> |
| License | MIT + file LICENSE |
| Version | 2.0.0 |
| URL | https://github.com/nfj1380/mrIML |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
