Model Checking and Variable Selection in Nonparametric Regression

Provides tests of significance for covariates (or groups of covariates) in a fully nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate. In addition, it provides a function for local polynomial regression for any number of dimensions, using a bandwidth specified by the user or automatically chosen by cross validation or an adaptive procedure.


Reference manual

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3.0 by Adriano Zanin Zambom, 2 years ago

Browse source code at

Authors: Adriano Zanin Zambom

Documentation:   PDF Manual  

GPL (>= 2) license

Imports dr

Depends on graphics

See at CRAN