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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