enpls offers an algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
enpls from CRAN:
Or try the development version on GitHub:
# install.packages("devtools") devtools::install_github("nanxstats/enpls")
See the vignette (or open with
vignette("enpls") in R) for a quick-start guide.
Measuring Feature Importance
Model Applicability Domain Evaluation / Ensemble Predictive Modeling
- Web: https://nanx.me/enpls/
- CRAN: https://cran.r-project.org/package=enpls
- GitHub: https://github.com/nanxstats/enpls
To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.