Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| 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> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://github.com/zejiang-unsw/NPRED#readme |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the NPRED package in your browser
Any scripts or data that you put into this service are public.
