Arbeitspapier

LinRegInteractive: An R package for the interactive interpretation of linear regression models

The package provides the generic function fxInteractive() to facilitate the interpretation of various kinds of regression models. It allows to observe the effects of variations of metric covariates in an interactive manner by means of termplots for different model classes. Currently linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Due to the interactive approach the function provides an intuitive understanding of the mechanics of a particular model and is therefore especially useful for educational purposes. Technically the package is based on the package rpanel and the only mandatory argument for the main function is an appropriate fitted-model object. Given this, the linear predictors, the marginal effects and, for generalized linear models, the responses are calculated automatically. For the marginal effects a numerical approach is used to handle non-constant marginal effects automatically. If there are two or more categorical covariates the corresponding effects are presented in a novel way. For publication purposes the user can customize the appearance of the termplots to a large extent. Tables of the effects and marginal effects can be printed to the R Console, optionally as copy-and-paste-ready LaTeX-code.

Sprache
Englisch

Erschienen in
Series: Schumpeter Discussion Papers ; No. 2014-014

Klassifikation
Wirtschaft
Thema
termplots
marginal effects
visualization

Ereignis
Geistige Schöpfung
(wer)
Meermeyer, Martin
Ereignis
Veröffentlichung
(wer)
University of Wuppertal, Schumpeter School of Business and Economics
(wo)
Wuppertal
(wann)
2014

Handle
URN
urn:nbn:de:hbz:468-20141111-152710-9
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Meermeyer, Martin
  • University of Wuppertal, Schumpeter School of Business and Economics

Entstanden

  • 2014

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