# Predictor Identifier: Nonparametric Prediction

## Documentation for package ‘NPRED’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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