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 |
Documentation:
Downloads:
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