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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "PLRModels" in publications use:'
type: software
license: GPL-3.0-only
title: 'PLRModels: Statistical Inference in Partial Linear Regression Models'
version: '1.4'
doi: 10.32614/CRAN.package.PLRModels
abstract: 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.
authors:
- family-names: Lopez-Cheda
  given-names: Ana
  email: ana.lopez.cheda@udc.es
- family-names: Perez
  given-names: German Aneiros
repository: https://analopezcheda.r-universe.dev
commit: 0a13da2e2920bcf1385c192fc9005a762304ee0f
date-released: '2023-08-19'
contact:
- family-names: Lopez-Cheda
  given-names: Ana
  email: ana.lopez.cheda@udc.es