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smlp2020-stream4

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  1. SMLP2020 SMLP2020 Public archive

    R 7 7

  2. dyestuff dyestuff Public

    In this vignette we describe the theory behind a type of statistical model called *mixed-effects* models and the practice of fitting and analyzing such models using the Julia-based (https://juliala…

    Julia

  3. sleepstudy sleepstudy Public

    The 'sleepstudy' data serve as a basic introduction of specifying a linear mixed model with the Julia-based (https://julialang.org) MixedModels package (https://github.com/JuliaStats/MixedModels.jl).

    Julia

  4. mrk17 mrk17 Public

    Data and scripts for a semantic-priming experiment reported in Masson, Rabe, & Kliegl (2017, Exp. 1, Memory & Cognition).

    Jupyter Notebook

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  • sleepstudy Public

    The 'sleepstudy' data serve as a basic introduction of specifying a linear mixed model with the Julia-based (https://julialang.org) MixedModels package (https://github.com/JuliaStats/MixedModels.jl).

    smlp2020-stream4/sleepstudy’s past year of commit activity
    Julia 0 MIT 0 0 0 Updated Apr 16, 2021
  • SMLP2020 Public archive
    smlp2020-stream4/SMLP2020’s past year of commit activity
    R 7 7 0 0 Updated Sep 22, 2020
  • dyestuff Public

    In this vignette we describe the theory behind a type of statistical model called *mixed-effects* models and the practice of fitting and analyzing such models using the Julia-based (https://julialang.org) MixedModels package (https://github.com/JuliaStats/MixedModels.jl). These models are used in many different disciplines. Because the descripti…

    smlp2020-stream4/dyestuff’s past year of commit activity
    Julia 0 MIT 0 1 0 Updated Sep 4, 2020
  • mrk17 Public

    Data and scripts for a semantic-priming experiment reported in Masson, Rabe, & Kliegl (2017, Exp. 1, Memory & Cognition).

    smlp2020-stream4/mrk17’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Aug 31, 2020

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