Topic: easystats Goto Github
Some thing interesting about easystats
Some thing interesting about easystats
easystats,:ghost: Utilities for analyzing Bayesian models and posterior distributions
Organization: easystats
Home Page: https://easystats.github.io/bayestestR/
easystats,:mega: The collaborative blog
Organization: easystats
Home Page: https://easystats.github.io/blog/
easystats,:link: Methods for Correlation Analysis
Organization: easystats
Home Page: https://easystats.github.io/correlation/
easystats,:milky_way: The R easystats-project
Organization: easystats
Home Page: http://easystats.github.io/easystats
easystats,:crystal_ball: Easy access to model information for various model objects
Organization: easystats
Home Page: https://easystats.github.io/insight/
easystats,:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
Organization: easystats
Home Page: https://easystats.github.io/modelbased/
easystats,:bar_chart: Computation and processing of models' parameters
Organization: easystats
Home Page: https://easystats.github.io/parameters/
easystats,:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Organization: easystats
Home Page: https://easystats.github.io/performance/
easystats,:scroll: :tada: Automated reporting of objects in R
Organization: easystats
Home Page: https://easystats.github.io/report/
easystats,:art: Visualisation toolbox for beautiful and publication-ready figures
Organization: easystats
Home Page: https://easystats.github.io/see/
easystats,Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
User: indrajeetpatil
Home Page: https://indrajeetpatil.github.io/broomExtra/
easystats,Lesson files for Practical Applications in R for Psychologists.
User: mattansb
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