Showing 4 open source projects for "statistical"

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  • 1
    Statistical Rethinking 2024

    Statistical Rethinking 2024

    This course teaches data analysis

    ...This version is designed for students following the 2024 lecture series, offering the most current set of examples, exercises, and teaching material aligned with the Statistical Rethinking framework. Online, flipped instruction. I will pre-record the lectures each week. We'll meet online once a week for an hour to discuss the material. The discussion time (3-4pm Berlin Time) should allow people in the Americas to join in their morning.
    Downloads: 2 This Week
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  • 2
    dplyr

    dplyr

    dplyr: A grammar of data manipulation

    ...Part of the tidyverse ecosystem, dplyr simplifies complex data operations through a clear and readable syntax, whether working with data frames, tibbles, or databases. It is widely used in data science and statistical analysis workflows.
    Downloads: 5 This Week
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  • 3
    Statistical Rethinking 2023

    Statistical Rethinking 2023

    Statistical Rethinking Course for Jan-Mar 2023

    The 2023 edition modernizes and expands on the same curriculum, adjusting exercises and code for newer versions of R, Stan, and supporting packages. It continues to provide scripts for lectures and tutorials, while integrating refinements to examples, notation, and computational workflows introduced that year. Compared with 2022, some models are rewritten for clarity, and teaching materials reflect refinements in McElreath’s evolving presentation of Bayesian data analysis. Students following...
    Downloads: 0 This Week
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  • 4
    Statistical Rethinking 2022

    Statistical Rethinking 2022

    Statistical Rethinking course winter 2022

    This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating).
    Downloads: 0 This Week
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