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NPRED  

Predictor Identifier: Nonparametric Prediction
View on CRAN: Click here


Download and install NPRED package within the R console
Install from CRAN:
install.packages("NPRED")

Install from Github:
library("remotes")
install_github("cran/NPRED")

Install by package version:
library("remotes")
install_version("NPRED", "1.1.0")



Attach the package and use:
library("NPRED")
Maintained by
Ze Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-13
Latest Update: 2024-07-25
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). , Sharma, A., Mehrotra, R., Li, J., & Jha, S. (2016). , and Mehrotra, R., & Sharma, A. (2006). .
How to cite:
Ze Jiang (2021). NPRED: Predictor Identifier: Nonparametric Prediction. R package version 1.1.0, https://cran.r-project.org/web/packages/NPRED. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.5 (2021-08-13 11:20), 1.0.6 (2021-11-27 09:00), 1.0.7 (2023-06-21 14:50)
Other packages that cited NPRED R package
View NPRED citation profile
Other R packages that NPRED depends, imports, suggests or enhances
Complete documentation for NPRED
Functions, R codes and Examples using the NPRED R package
Some associated functions: Sydney . calc.PIC . calc.PW . calc.scaleSTDratio . data.gen.ar1 . data.gen.ar4 . data.gen.ar9 . data1 . data2 . data3 . knn . knnregl1cv . pic.calc . pw.calc . stepwise.PIC . 
Some associated R codes: calc.PICPW.R . calc.PICPWf.R . data_gen.R . knn.R . sampledata.R .  Full NPRED package functions and examples
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