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FBartos/README.md

Hi there!

I'm František, a PhD candidate in Psychology at the University of Amsterdam and co-founder of JASP Services. I'm passionate about making statistical methods more accessible and helping researchers draw better conclusions from their data.

What I work on

  • Research: Bayesian statistics, meta-analyses, and publication bias adjustment methods
  • Software: Developing R packages and contributing to JASP statistical software
  • Teaching: Meta-analysis and Bayesian inference courses
  • Fun fact: I flipped way to many coins in my life

Some things I've built

  • PublicationBiasBenchmark - Benchmark for publication bias correction methods - An R package with unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see the benchmark)
  • RoBMA - Robust Bayesian Meta-Analysis - An R package for highly customizable Bayesian model-averaged meta-analytic models
  • zcurve - Z-Curve - An R package for estimating replication rates from test statistics
  • Meta-Analysis module for JASP - Making meta-analysis accessible to everyone via JASP

Connect with me


For a complete overview of my research and experience, check out my full CV.

Pinned Loading

  1. PublicationBiasBenchmark PublicationBiasBenchmark Public

    PublicationBiasBenchmark is an R package for benchmarking publication bias correction methods through simulation studies.

    R 2 1

  2. zcurve zcurve Public

    zcurve R package for assessing the reliability and trustworthiness of published literature with the z-curve method

    R 13 2

  3. RoBMA RoBMA Public

    RoBMA R package for estimating robust Bayesian meta-analyses

    R 9 4

  4. BayesTools BayesTools Public

    BayesTools R package for simplifying the development of Bayesian analyses and model-averaging

    R 7 3

  5. jasp-stats/jaspMetaAnalysis jasp-stats/jaspMetaAnalysis Public

    The Meta Analysis Module

    R 9 19

  6. jasp-stats/jaspMixedModels jasp-stats/jaspMixedModels Public

    The Mixed Models Module

    R 4 16