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easystats: An R Framework for Easy Statistical Modeling, Visualization, and Reporting

β€œStatistics are like sausages. It’s better not to see them being made, unless you use easystats.”

easystats is a collection of R packages, which aims to provide a unifying and consistent framework to tame, discipline, and harness the scary R statistics and their pesky models.

However, there is not (yet) an unique "easystats" way of doing data analysis. Instead, start with one package and, when you'll face a new challenge, do check if there is an easystats answer for it in other packages. You will slowly uncover how using them together facilitates your life. And, who knows, you might even end up using them all.

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  1. datawizard datawizard Public

    Magic potions to clean and transform your data πŸ§™

    R 238 18

  2. bayestestR bayestestR Public

    πŸ‘» Utilities for analyzing Bayesian models and posterior distributions

    R 597 63

  3. parameters parameters Public

    πŸ“Š Computation and processing of models' parameters

    R 499 46

  4. performance performance Public

    πŸ’ͺ Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

    R 1.2k 109

  5. effectsize effectsize Public

    πŸ‰ Compute and work with indices of effect size and standardized parameters

    R 353 25

  6. modelbased modelbased Public

    πŸ“ˆ Estimate effects, contrasts and means based on statistical models

    R 263 23

Repositories

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