Alternatives and similar repositories for randomForestExplainer

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

• AppliedDataSciencePartners / xgboostExplainer
  An R package that makes xgboost models fully interpretable
  ☆258Updated 7 years ago
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆286Updated 11 months ago
• dgrtwo / empirical-bayes-book
  Introduction to Empirical Bayes: Examples from Baseball Statistics
  ☆196Updated 4 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆228Updated 3 weeks ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• asardaes / dtwclust
  R Package for Time Series Clustering Along with Optimizations for DTW
  ☆263Updated 3 months ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆190Updated this week
• Laurae2 / Laurae
  Advanced High Performance Data Science Toolbox for R by Laurae
  ☆205Updated 8 years ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆285Updated last year
• bwlewis / GLM
  Notes on generalized linear models
  ☆109Updated 7 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated 2 years ago
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆501Updated 9 months ago
• jthaman / ciTools
  An R Package for Quick Uncertainty Intervals
  ☆107Updated 4 months ago
• matloff / polyreg
  ☆183Updated 3 years ago
• FrankPortman / bayesAB
  🐢 bayesAB: Fast Bayesian Methods for A/B Testing
  ☆313Updated 4 years ago
• tidymodels / lime
  Local Interpretable Model-Agnostic Explanations (R port of original Python package)
  ☆489Updated this week
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 8 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 4 years ago
• AtherEnergy / ggTimeSeries
  Time series visualisation
  ☆261Updated 3 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• robjhyndman / anomalous
  Anomalous time series package for R
  ☆93Updated 7 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• pbiecek / breakDown
  Model Agnostics breakDown plots
  ☆103Updated last year
• suiji / Arborist
  Scalable decision tree training and inference.
  ☆83Updated 10 months ago
• strengejacke / sjstats
  Effect size measures and significance tests
  ☆191Updated 6 months ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆98Updated 3 years ago
• gbm-developers / gbm3
  Gradient boosted models
  ☆145Updated last year
• ellisp / forecastHybrid
  Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
  ☆79Updated 3 years ago
• szilard / benchm-databases
  A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (inte…
  ☆89Updated 8 years ago
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆326Updated 9 years ago