Alternatives and similar repositories for varimpact

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

• soerenkuenzel / hte
  ☆34Updated 3 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 9 months ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 5 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 6 months ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated last year
• cran / bsts
   This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
  ☆34Updated 4 months ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆68Updated 7 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 4 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• ck37 / superlearner-guide
  SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
  ☆37Updated 6 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated 2 years ago
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 8 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• ramhiser / activelearning
  Active Learning in R
  ☆47Updated 8 years ago
• terrytangyuan / dml
  R package for Distance Metric Learning
  ☆58Updated 2 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 8 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 9 years ago
• anniejw6 / modmarg
  Calculating Marginal Effects and Levels with Errors Using the Delta Method
  ☆17Updated 4 years ago
• bnosac / ruimtehol
  R package to Embed All the Things! using StarSpace
  ☆103Updated last month
• ModelOriented / auditor
  Model verification, validation, and error analysis
  ☆59Updated last year
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• gdkrmr / dimRed
  A Framework for Dimensionality Reduction in R
  ☆73Updated 8 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆77Updated 2 months ago
• kshirley / summarytrees
  R package to compute and visualize summary trees
  ☆36Updated 9 years ago