Predictor Identifier: Nonparametric Prediction
Calculate PIC
Calculate Partial Weight
Modified k-nearest neighbour conditional bootstrap or regression funct...
Leave one out cross validation.
Calculate the ratio of conditional error standard deviations
Generate predictor and response data.
Generate predictor and response data.
Generate predictor and response data.
Calculate stepwise PIC
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>.
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