Predictor Identifier: Nonparametric Prediction

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Documentation for package ‘NPRED’ version 1.0.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

calc.PIC	Calculate PIC
calc.PW	Calculate Partial Weight
calc.scaleSTDratio	Calculate the ratio of conditional error standard deviations
data.gen.ar1	Generate predictor and response data.
data.gen.ar4	Generate predictor and response data.
data.gen.ar9	Generate predictor and response data.
data1	Sample data : AR9 model: x(i)=0.3*x(i-1)-0.6*x(i-4)-0.5*x(i-9)+eps
data2	Sample data : AR4 model: x(i)=0.6*x(i-1)-0.4*x(i-4)+eps
data3	Sample data : AR1 model: x(i)=0.9*x(i-1)+0.866*eps
knn	Modified k-nearest neighbour conditional bootstrap or regression function estimation with extrapolation
knnregl1cv	Leave one out cross validation.
pic.calc	Calculate PIC
pw.calc	Calculate Partial Weight
stepwise.PIC	Calculate stepwise PIC
Sydney	Sample data: Data over Sydney region