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.
| Version: |
3.0 |
| Depends: |
R (≥ 3.2.0), graphics |
| Imports: |
dr |
| Published: |
2017-04-27 |
| Author: |
Adriano Zanin Zambom |
| Maintainer: |
Adriano Zanin Zambom <adriano.zambom at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
NonpModelCheck citation info |
| CRAN checks: |
NonpModelCheck results |
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