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: 1.0.7
Depends: R (≥ 3.4.0)
Imports: stats
Suggests: zoo, SPEI, WASP, knitr, ggplot2, synthesis, testthat, bookdown, rmarkdown
Published: 2023-06-21
Author: Ashish Sharma ORCID iD [aut], Raj Mehrotra [aut], Sanjeev Jha [aut], Jingwan Li [aut], Ze Jiang ORCID iD [aut, cre]
Maintainer: Ze Jiang <ze.jiang at>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
In views: Hydrology
CRAN checks: NPRED results


Reference manual: NPRED.pdf
Vignettes: Predictor Identifier: Nonparametric PREDiction


Package source: NPRED_1.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NPRED_1.0.7.tgz, r-oldrel (arm64): NPRED_1.0.7.tgz, r-release (x86_64): NPRED_1.0.7.tgz, r-oldrel (x86_64): NPRED_1.0.7.tgz
Old sources: NPRED archive

Reverse dependencies:

Reverse suggests: synthesis, WASP


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