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>.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | stats |
| Suggests: | zoo,SPEI,WASP,knitr,ggplot2,synthesis,testthat,bookdown,rmarkdown |
| Published: | 2024-07-25 |
| DOI: | 10.32614/CRAN.package.NPRED |
| Author: | Ashish Sharma [aut], Raj Mehrotra [aut], Sanjeev Jha [aut], Jingwan Li [aut], Ze Jiang [aut, cre] |
| Maintainer: | Ze Jiang <ze.jiang at unsw.edu.au> |
| BugReports: | https://github.com/zejiang-unsw/NPRED/issues |
| License: | GPL-3 |
| URL: | https://github.com/zejiang-unsw/NPRED#readme |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | Hydrology |
| CRAN checks: | NPRED results |
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