Package: NPRED
Title: Predictor Identifier: Nonparametric Prediction
Version: 1.0.7
Authors@R: 
    c(person(given = "Ashish",
           family = "Sharma",
           role = c("aut"),
           comment = c(ORCID = "0000-0002-6758-0519")),
    person(given = "Raj",
           family = "Mehrotra",
           role = c("aut")),
    person(given = "Sanjeev",
           family = "Jha",
           role = c("aut")),
    person(given = "Jingwan",
           family = "Li",
           role = c("aut")),
    person(given = "Ze",
           family = "Jiang",
           role = c("aut", "cre"),
           email = "ze.jiang@unsw.edu.au",
           comment = c(ORCID = "0000-0002-3472-0829")))
Author: Ashish Sharma [aut] (<https://orcid.org/0000-0002-6758-0519>),
  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@unsw.edu.au>
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
URL: https://github.com/zejiang-unsw/NPRED#readme
BugReports: https://github.com/zejiang-unsw/NPRED/issues
Imports: stats
Suggests: zoo, SPEI, WASP, knitr, ggplot2, synthesis, testthat,
        bookdown, rmarkdown
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-06-21 12:23:40 UTC; Ze
Repository: CRAN
Date/Publication: 2023-06-21 12:50:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 00:35:59 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
