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 Methodoligies 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: 1.0.5
Depends: R (≥ 3.4.0)
Imports: stats
Suggests: zoo, SPEI, knitr, ggplot2, testthat, bookdown, rmarkdown
Published: 2021-08-13
Author: Ashish Sharma [aut], Raj Mehrotra [aut], Sanjeev Jha [aut], Jingwan Li [aut], Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>)
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: yes
Materials: README
CRAN checks: NPRED results

Downloads:

Reference manual: NPRED.pdf
Vignettes: Predictor Identifier: Nonparametric PREDiction
Package source: NPRED_1.0.5.tar.gz
Windows binaries: r-devel: NPRED_1.0.5.zip, r-devel-UCRT: NPRED_1.0.5.zip, r-release: NPRED_1.0.5.zip, r-oldrel: NPRED_1.0.5.zip
macOS binaries: r-release (arm64): NPRED_1.0.5.tgz, r-release (x86_64): NPRED_1.0.5.tgz, r-oldrel: NPRED_1.0.5.tgz

Reverse dependencies:

Reverse suggests: WASP

Linking:

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