Alternatives and similar repositories for treeshap:

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

• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 4 years ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆119Updated last year
• ModelOriented / forester
  Trees are all you need
  ☆114Updated 10 months ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆158Updated last week
• ModelOriented / kernelshap
  Different SHAP algorithms
  ☆46Updated 2 weeks ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆30Updated this week
• mlverse / tabnet
  An R implementation of TabNet
  ☆110Updated this week
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆23Updated 2 weeks ago
• ModelOriented / shapviz
  SHAP Plots in R
  ☆93Updated 2 weeks ago
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆68Updated 2 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated last year
• pablo14 / shap-values
  Shap values for model interpretation
  ☆63Updated 5 years ago
• Blunde1 / agtboost
  Adaptive and automatic gradient boosting computations.
  ☆68Updated 2 years ago
• PhilippPro / tuneRanger
  Automatic tuning of random forests
  ☆33Updated last year
• ModelOriented / DALEXtra
  Extensions for the DALEX package
  ☆67Updated 8 months ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆131Updated 4 years ago
• giuseppec / featureImportance
  An R package to assess feature importance
  ☆33Updated 3 years ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆87Updated 2 months ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆48Updated last week
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆59Updated last year
• pridiltal / ctv-AnomalyDetection
  CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒
  ☆109Updated last month
• liuyanguu / SHAPforxgboost
  SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
  ☆115Updated last year
• ModelOriented / triplot
  Triplot: Instance- and data-level explanations for the groups of correlated features.
  ☆9Updated 4 years ago
• karlkumbier / iRF
  ☆14Updated last month
• mlr-org / mlr3proba
  Probabilistic Learning for mlr3
  ☆136Updated 2 weeks ago
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆111Updated 10 months ago
• dandls / counterfactuals
  counterfactuals: An R package for Counterfactual Explanation Methods
  ☆21Updated 6 months ago