Alternatives and similar repositories for bayesAB

Users that are interested in bayesAB are comparing it to the libraries listed below

• klarsen1 / MarketMatching
  ☆136Updated last year
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆196Updated 5 years ago
• mplatzer / BTYDplus
  R package for Customer Behavior Analysis
  ☆189Updated last year
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆286Updated last year
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆205Updated 8 years ago
• klarsen1 / bstspost
  ☆88Updated 9 years ago
• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆258Updated 7 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆228Updated last week
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆119Updated 7 years ago
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆197Updated 8 years ago
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆93Updated 7 years ago
• mhahsler / recommenderlab
  recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
  ☆217Updated 7 months ago
• TeconomicsBlog / notebooks
  ☆96Updated 8 years ago
• robjhyndman / anomalous-acm
  Anomalous time series package for R (ACM)
  ☆119Updated 7 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆255Updated 5 years ago
• ModelOriented / randomForestExplainer
  A set of tools to understand what is happening inside a Random Forest
  ☆239Updated last year
• trinker / topicmodels_learning
  A repository of learning & R resources related to topic models
  ☆230Updated 9 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆74Updated 4 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• dgrtwo / dgrtwo.github.com
  My website
  ☆239Updated last year
• robertzk / syberia
  Syberia: The development framework for R
  ☆146Updated 7 years ago
• tidymodels / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆490Updated last month
• wehrley / wehrley.github.io
  ☆157Updated 9 years ago
• klarsen1 / NBA_RANKINGS
  ☆74Updated 5 years ago
• stan-dev / shinystan
  shinystan R package and ShinyStan GUI
  ☆200Updated 2 weeks ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 7 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 8 years ago
• ellisp / forecastxgb-r-package
  An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes
  ☆140Updated 8 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆146Updated last year
• angelabassa / data-science-competency-matrix
  ☆125Updated 6 years ago