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.
|Author||Adriano Zanin Zambom|
|Date of publication||2017-04-27 15:51:20 UTC|
|Maintainer||Adriano Zanin Zambom <firstname.lastname@example.org>|
|License||GPL (>= 2)|
group.npvarselec: Group variable selection for nonparametric regression
localpoly.reg: Local Polynomial Regression Fitting
npmodelcheck: Hypothesis Testing for Covariate or Group effect in...
npvarselec: Variable selection for covariates in nonparametric regression
plot3d.localpoly.reg: 3d plot from a local polynomial fit
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