Alternatives and similar repositories for rNPBST

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

• BayesianTestsML / tutorial
  Tutorial on Bayesian tests for Machine Learning
  ☆79Updated 4 years ago
• mlr-org / mlrMBO
  Toolbox for Bayesian Optimization and Model-Based Optimization in R
  ☆188Updated 2 years ago
• b0rxa / scmamp
  Statistical comparison of multiple algorithms
  ☆42Updated last year
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆169Updated 3 years ago
• jakobbossek / smoof
  Single- and Multi-Objective Optimization Test Functions
  ☆37Updated last year
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆74Updated 3 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆113Updated 3 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆168Updated last week
• cvxgrp / CVXR
  An R modeling language for convex optimization problems.
  ☆213Updated 11 months ago
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆193Updated last year
• giuseppec / iml
  iml: interpretable machine learning R package
  ☆501Updated 7 months ago
• ncordon / smartdata
  R package for data preprocessing
  ☆13Updated 5 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• nogueirs / JMLR2018
  The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.
  ☆17Updated 7 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• agnesdeng / mixgb
  mixgb: multiple imputation through XGBoost
  ☆23Updated 5 months ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆89Updated last year
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆249Updated last year
• david-cortes / isotree
  (Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA im…
  ☆221Updated 4 months ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆146Updated 8 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆58Updated last week
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 2 months ago
• cran / kernlab
   This is a read-only mirror of the CRAN R package repository. kernlab — Kernel-Based Machine Learning Lab
  ☆22Updated last year
• JingyuHe / XBART
  ☆92Updated 10 months ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆124Updated 3 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆87Updated 2 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last month