https://github.com/gdkrmr/drr
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
https://github.com/gdkrmr/drr
dimensionality-reduction kernel-methods non-linear regression-models
Last synced: 10 months ago
JSON representation
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
- Host: GitHub
- URL: https://github.com/gdkrmr/drr
- Owner: gdkrmr
- License: gpl-3.0
- Created: 2016-09-27T12:13:31.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2023-03-21T13:07:07.000Z (almost 3 years ago)
- Last Synced: 2025-03-18T05:23:26.737Z (10 months ago)
- Topics: dimensionality-reduction, kernel-methods, non-linear, regression-models
- Language: R
- Homepage: https://cran.r-project.org/package=DRR
- Size: 1.96 MB
- Stars: 9
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DRR
[](https://dimred.guido-kraemer.com)
[](https://github.com/gdkrmr/DRR/actions/workflows/r.yml)
[](https://codecov.io/gh/gdkrmr/DRR)
[](https://cran.r-project.org/package=DRR)
[](https://zenodo.org/badge/latestdoi/69353088)
Dimensionality Reduction via Regression
An implementation of Dimensionality Reduction
via Regression using Kernel Ridge Regression.
## Installing:
```R
## install.packages("devtools")
devtools::install_github("gdkrmr/DRR")
```
Install from CRAN:
```R
install.packages("DRR")
```
Load it:
```R
library(DRR)
```