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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