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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. Zambom and Akritas (2014) <doi:10.5705/ss.2013.112>, Zambom and Akritas (2015) <doi:10.1016/j.jmva.2014.08.014>, Zambom and Akritas (2017) <doi:10.18637/jss.v077.i10>.
Getting started
Browse package contents
Package details |
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| Author | Adriano Zanin Zambom |
| Maintainer | Adriano Zanin Zambom <adriano.zambom@csun.edu> |
| License | GPL (>= 2) |
| Version | 4.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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