Alternatives and similar repositories for missing-data

Users that are interested in missing-data are comparing it to the libraries listed below

• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆84Updated last year
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• danigiro / awesome-forecast-reconciliation
  Collection of academic papers, articles, software tools, and educational resources about forecast reconciliation
  ☆29Updated last month
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 4 months ago
• assuncaolfi / savvi
  A package for Safe Anytime Valid Inference
  ☆26Updated 7 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 7 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated last year
• giuseppec / featureImportance
  An R package to assess feature importance
  ☆33Updated 4 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆32Updated 8 months ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 4 years ago
• topepo / Optimization-Methods-for-Tuning-Predictive-Models
  Code and slides from a 2016 talk at the Cambridge UK RUG
  ☆16Updated 8 years ago
• jakobbossek / smoof
  Single- and Multi-Objective Optimization Test Functions
  ☆36Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• almost-matching-exactly / R-FLAME
  R Implementation of FLAME, DAME, and other algorithms in the AME framework
  ☆13Updated 2 years ago
• isidroc / conformal
  Conformal prediction in R
  ☆31Updated 5 years ago
• ModelOriented / auditor
  Model verification, validation, and error analysis
  ☆58Updated last year
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 2 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 6 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 8 months ago
• Edderic / statistical-rethinking-python-solutions
  Personal solutions to end-of-chapter questions
  ☆13Updated 6 years ago
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆22Updated last month
• BetaAndBit / RML
  The Hitchhiker’s Guide to Responsible Machine Learning
  ☆60Updated 2 years ago