NonpModelCheck: 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.

Getting started

Package details

AuthorAdriano Zanin Zambom
MaintainerAdriano Zanin Zambom <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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NonpModelCheck documentation built on May 2, 2019, 6:38 a.m.