Package: NPRED 1.1.0
![](https://r-universe.dev/static/nobody.jpg)
Ze Jiang
NPRED: Predictor Identifier: Nonparametric Prediction
Partial informational correlation (PIC) is used to identify the meaningful predictors to the response from a large set of potential predictors. Details of methodologies used in the package can be found in Sharma, A., Mehrotra, R. (2014). <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., & Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>.
Authors:
NPRED_1.1.0.tar.gz
NPRED_1.1.0.tar.gz(r-4.5-noble)NPRED_1.1.0.tar.gz(r-4.4-noble)
NPRED_1.1.0.tgz(r-4.4-emscripten)NPRED_1.1.0.tgz(r-4.3-emscripten)
NPRED.pdf |NPRED.html✨
NPRED/json (API)
NEWS
# Install 'NPRED' in R: |
install.packages('NPRED', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zejiang-unsw/npred/issues
Last updated 1 months agofrom:eb0824c94d. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 25 2024 |
R-4.5-linux | OK | Aug 25 2024 |
Exports:calc.scaleSTDratiodata.gen.ar1data.gen.ar4data.gen.ar9knnknnregl1cvpic.calcpw.calcstepwise.PIC
Dependencies: