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: Linking:Please use the canonical form https://CRAN.R-project.org/package=NPRED to link to this page.
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