PLRModels: Statistical inference in partial linear regression models
Version 1.1

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
Date of publication2014-01-01 21:37:58
MaintainerGerman Aneiros Perez <[email protected]>
LicenseGPL
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PLRModels")

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PLRModels documentation built on May 29, 2017, 9:14 p.m.