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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | NPRED_1.1.0.tar.gz |
1.5 MiB |
1.1.0 |
rolling linux/noble R-4.5 | NPRED_1.1.0.tar.gz |
1.5 MiB |
1.1.0 |
rolling source/ R- | NPRED_1.1.0.tar.gz |
1.3 MiB |
1.1.0 |
latest linux/jammy R-4.5 | NPRED_1.1.0.tar.gz |
1.5 MiB |
1.1.0 |
latest linux/noble R-4.5 | NPRED_1.1.0.tar.gz |
1.5 MiB |
1.1.0 |
latest source/ R- | NPRED_1.1.0.tar.gz |
1.3 MiB |
1.1.0 |
2026-04-26 source/ R- | NPRED_1.1.0.tar.gz |
1.3 MiB |
1.1.0 |
2026-04-23 source/ R- | NPRED_1.1.0.tar.gz |
1.3 MiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | NPRED_1.1.0.zip |
1.5 MiB |
1.1.0 |
2025-04-20 source/ R- | NPRED_1.1.0.tar.gz |
1.3 MiB |