FrankPortman / bayesAB
π’ bayesAB: Fast Bayesian Methods for A/B Testing
β314Updated 3 years ago
Alternatives and similar repositories for bayesAB
Users that are interested in bayesAB are comparing it to the libraries listed below
Sorting:
- β134Updated last year
- R package for Customer Behavior Analysisβ189Updated last year
- Introduction to Empirical Bayes: Examples from Baseball Statisticsβ190Updated 4 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distrβ¦β285Updated 4 months ago
- β88Updated 9 years ago
- Advanced High Performance Data Science Toolbox for R by Lauraeβ205Updated 8 years ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google β¦β136Updated 5 years ago
- Materials from Stan conferencesβ256Updated 4 years ago
- caret models all the way downβ226Updated 2 months ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressorsβ150Updated 2 years ago
- An R package that makes xgboost models fully interpretableβ256Updated 6 years ago
- β97Updated 7 years ago
- Syberia: The development framework for Rβ146Updated 6 years ago
- Python solver for mixed-effects modelsβ97Updated 7 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)β196Updated 8 years ago
- Current version of the SuperLearner R packageβ275Updated last year
- Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.β174Updated 2 months ago
- Anomalous time series package for R (ACM)β119Updated 7 years ago
- Anomalous time series package for Rβ92Updated 7 years ago
- R package for exploratory data analysisβ120Updated 7 years ago
- The ultimate reference guide to data wrangling with Python and Rβ240Updated 3 years ago
- Inside every classical test there is a Bayesian model trying to get out.β327Updated 8 years ago
- Gradient boosted modelsβ142Updated last year
- Tidy time series forecastingβ569Updated 5 months ago
- An R package for causal inference in time seriesβ1,739Updated last year
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.htmlβ401Updated 7 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.β70Updated 7 years ago
- A set of tools to understand what is happening inside a Random Forestβ234Updated last year
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hillβ81Updated 5 years ago
- Very concise notes on machine learning and statistics.β382Updated 12 years ago