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Marketing analytics with RStudio: a software review

Author

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  • David Dege

    (Fernuniversitat Hagen Fakultat fur Wirtschaftswissenschaft)

  • Philipp Brüggemann

    (Fernuniversitat Hagen Fakultat fur Wirtschaftswissenschaft)

Abstract

No abstract is available for this item.

Suggested Citation

  • David Dege & Philipp Brüggemann, 2024. "Marketing analytics with RStudio: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 465-470, June.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:2:d:10.1057_s41270-023-00264-0
    DOI: 10.1057/s41270-023-00264-0
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    References listed on IDEAS

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    1. Liverani, Silvia & Hastie, David I. & Azizi, Lamiae & Papathomas, Michail & Richardson, Sylvia, 2015. "PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i07).
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    4. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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