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). , Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). , and Mehrotra, R., & Sharma, A. (2006). .


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Reference manual

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install.packages("NPRED")

1.0.6 by Ze Jiang, 2 months ago


https://github.com/zejiang-unsw/NPRED#readme


Report a bug at https://github.com/zejiang-unsw/NPRED/issues


Browse source code at https://github.com/cran/NPRED


Authors: Ashish Sharma [aut] , Raj Mehrotra [aut] , Sanjeev Jha [aut] , Jingwan Li [aut] , Ze Jiang [aut, cre]


Documentation:   PDF Manual  


Task views: Hydrological Data and Modeling


GPL-3 license


Imports stats

Suggests zoo, SPEI, WASP, knitr, ggplot2, synthesis, testthat, bookdown, rmarkdown


Suggested by WASP, synthesis.


See at CRAN