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This package provides statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodnessoffit tests and analysis of covariance are considered. Kernelbased methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.
Package details 


Author  German Aneiros Perez and Ana Lopez Cheda 
Date of publication  20140101 21:37:58 
Maintainer  German Aneiros Perez <[email protected]> 
License  GPL 
Version  1.1 
Package repository  View on CRAN 
Installation 
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