PLRModels: Statistical inference in partial linear regression models

This package provides statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based 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.

Getting started

Package details

AuthorGerman Aneiros Perez and Ana Lopez Cheda
MaintainerGerman Aneiros Perez <[email protected]>
Package repositoryView on CRAN
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PLRModels documentation built on May 29, 2017, 9:14 p.m.