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LinRegInteractive: An R Package for the Interactive Interpretation of Linear Regression Models

Author

Listed:
  • Martin Meermeyer

    (Universität Wuppertal, Fachbereich B, Schumpeter School of Business and Economics, Lehrstuhl für Wirtschaftsstatistik)

Abstract

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.

Suggested Citation

  • Martin Meermeyer, 2014. "LinRegInteractive: An R Package for the Interactive Interpretation of Linear Regression Models," Schumpeter Discussion Papers SDP14014, Universitätsbibliothek Wuppertal, University Library.
    • Handle: RePEc:bwu:schdps:sdp14014
    as

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    References listed on IDEAS

    as
    1. Bowman, Adrian & Crawford, Ewan & Alexander, Gavin & Bowman, Richard W, 2007. "rpanel: Simple Interactive Controls for R Functions Using the tcltk Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i09).
    2. Fox, John, 2003. "Effect Displays in R for Generalised Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i15).
    3. Bowman, Adrian & Gibson, Iain & Scott, E. Marian & Crawford, Ewan, 2010. "Interactive Teaching Tools for Spatial Sampling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i13).
    4. Glenn Hoetker, 2007. "The use of logit and probit models in strategic management research: Critical issues," Strategic Management Journal, Wiley Blackwell, vol. 28(4), pages 331-343, April.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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