Alternatives and similar repositories for varimpact

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

• soerenkuenzel / hte
  ☆34Updated 2 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 8 months ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆21Updated last year
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆40Updated 6 months ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 8 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 10 months ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated 9 months ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 2 months ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆24Updated 3 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆25Updated 2 years ago
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• ck37 / superlearner-guide
  SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
  ☆37Updated 6 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 7 years ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 7 months ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆59Updated 2 years ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆44Updated 5 years ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆58Updated 2 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• IyarLin / simMixedDAG
  The simMixedDAG package enables simulation of "real life" datasets from DAGs
  ☆13Updated 5 years ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago