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Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers

Author

Listed:
  • Field, Andy Peter

    (University of Sussex)

  • Wilcox, Rand R.

Abstract

Paper describing the utility and application of various robust methods in R

Suggested Citation

  • Field, Andy Peter & Wilcox, Rand R., 2017. "Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers," OSF Preprints v3nz4_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:v3nz4_v1
    DOI: 10.31219/osf.io/v3nz4_v1
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    References listed on IDEAS

    as
    1. Peter Tyrer & Ula Nur & Mike Crawford & Saffron Karlsen & Claire MacLean & Bharti Rao & Tony Johnson, 2005. "The Social Functioning Questionnaire: A Rapid and Robust Measure of Perceived Functioning," International Journal of Social Psychiatry, , vol. 51(3), pages 265-275, September.
    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. Koller, Manuel, 2016. "robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i06).
    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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