Marjolein Fokkema

Associate Professor

Amsterdam, North Holland, Netherlands
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Summary

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Marjolein Fokkema is an Associate Professor in Methods & Statistics for Psychology with a decade of experience translating psychometric problems into practical statistical learning solutions. She specializes in tree-based methods, multilevel models and splines, and is the author of popular R packages such as glmertree and pre that bridge mixed-effects modelling with interpretable prediction rules. Her work focuses on improving clinical decision making and psychological assessment, informed by her role on the Dutch Committee on Testing Matters and as an associate editor at the European Journal of Psychological Assessment. Based in Amsterdam, she combines rigorous academic research, open-source software development, and hands-on teaching—bringing methodological innovation directly into practice and training the next generation of psychometricians.
code10 years of coding experience
job9 years of employment as a software developer
bookPropedeutical exam, Philosophy, Propedeutical exam, Philosophy at Vrije Universiteit Amsterdam
bookMSc, Psychology, MSc, Psychology at Vrije Universiteit Amsterdam (VU Amsterdam)
bookPhD, Psychometrics and Quantitative Psychology, PhD, Psychometrics and Quantitative Psychology at VU University Amsterdam
bookTheateropleiding Selma Susanna
languagesDutch, English
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Stackoverflow

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596reputation
33kreached
17answers
0questions
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Github Skills (36)

deriving10
r-package10
feature-selection10
caret10
interpretable-machine-learning10
iml10
prediction10
rule10
ensembles9
classification8
regression8
statistics7
regression-models7
decision-tree6
rmarkdown6

Programming languages (2)

C++R

Github contributions (5)

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marjoleinF/misc

Jan 2017 - Sep 2024

Contributions:53 pushes, 3 branches in 7 years 9 months
marjoleinF/pre

Dec 2016 - Jun 2022

an R package for deriving Prediction Rule Ensembles
Contributions:3 releases, 112 commits, 14 PRs in 5 years 6 months
r-packageimlpredictionrulederiving
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Marjolein Fokkema - Associate Professor