Package: VSURF 1.2.1
VSURF: Variable Selection Using Random Forests
Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose. Genuer, R. Poggi, J.-M. and Tuleau-Malot, C. (2015) <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
Authors:
VSURF_1.2.1.tar.gz
VSURF_1.2.1.zip(r-4.5)VSURF_1.2.1.zip(r-4.4)VSURF_1.2.1.zip(r-4.3)
VSURF_1.2.1.tgz(r-4.4-any)VSURF_1.2.1.tgz(r-4.3-any)
VSURF_1.2.1.tar.gz(r-4.5-noble)VSURF_1.2.1.tar.gz(r-4.4-noble)
VSURF_1.2.1.tgz(r-4.4-emscripten)VSURF_1.2.1.tgz(r-4.3-emscripten)
VSURF.pdf |VSURF.html✨
VSURF/json (API)
NEWS
| # Install 'VSURF' in R: |
| install.packages('VSURF', repos = c('https://robingenuer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robingenuer/vsurf/issues
- ail - Real-world data on PM10 pollution in Rouen area, France
- gcm - Real-world data on PM10 pollution in Rouen area, France
- gui - Real-world data on PM10 pollution in Rouen area, France
- hri - Real-world data on PM10 pollution in Rouen area, France
- jus - Real-world data on PM10 pollution in Rouen area, France
- rep - Real-world data on PM10 pollution in Rouen area, France
- toys - A simulated dataset called toys data
Last updated 4 months agofrom:613aeea666. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-win | OK | Oct 09 2024 |
| R-4.5-linux | OK | Oct 09 2024 |
| R-4.4-win | OK | Oct 09 2024 |
| R-4.4-mac | OK | Oct 09 2024 |
| R-4.3-win | OK | Oct 09 2024 |
| R-4.3-mac | OK | Oct 09 2024 |
Exports:tuneVSURFVSURF_interpVSURF_predVSURF_thres
Dependencies:codetoolsdoParallelforeachiteratorsrandomForestrpart
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot of VSURF results | plot.VSURF plot.VSURF_interp plot.VSURF_pred plot.VSURF_thres |
| Real-world data on PM10 pollution in Rouen area, France | ail gcm gui hri jus PM10 rep |
| Predict method for VSURF object | predict.VSURF |
| Print of VSURF results | print.VSURF |
| Summary of VSURF results | summary.VSURF |
| A simulated dataset called toys data | toys |
| Tuning of the thresholding and interpretation steps of VSURF | tune tune.VSURF_interp tune.VSURF_thres |
| Variable Selection Using Random Forests | VSURF VSURF.default VSURF.formula |
| Interpretation step of VSURF | VSURF_interp VSURF_interp.default VSURF_interp.formula |
| Prediction step of VSURF | VSURF_pred VSURF_pred.default VSURF_pred.formula |
| Thresholding step of VSURF | VSURF_thres VSURF_thres.default VSURF_thres.formula |
