Package: PLRModels
Type: Package
Title: Statistical Inference in Partial Linear Regression Models
Version: 1.4
Date: 2023-08-19
Author: German Aneiros Perez and Ana Lopez-Cheda
Maintainer: Ana Lopez-Cheda <ana.lopez.cheda@udc.es>
Description: Contains 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.
License: GPL-3
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-09 12:24:33 UTC; root
Repository: https://analopezcheda.r-universe.dev
Date/Publication: 2023-08-19 11:30:35 UTC
RemoteUrl: https://github.com/cran/PLRModels
RemoteRef: HEAD
RemoteSha: 0a13da2e2920bcf1385c192fc9005a762304ee0f