Alternatives and similar repositories for R-FLAME:

Users that are interested in R-FLAME are comparing it to the libraries listed below

• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆12Updated 5 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆17Updated last month
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 3 years ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 2 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆39Updated 4 months ago
• boost-R / FDboost
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
  ☆19Updated last week
• stephenbates19 / nestedcv_experiments
  Numerical experiments for nested cross-validation paper
  ☆11Updated 2 years ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated last month
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆30Updated last month
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆23Updated 3 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 2 months ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 6 months ago
• ssdavenport / microsynth
  Synthetic controls for micro-level data
  ☆16Updated last year
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆19Updated 2 years ago
• franciscomartinezdelrio / tsfknn
  Time Series Forecasting Using KNN
  ☆11Updated last year
• nanxstats / msaenet
  🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
  ☆13Updated 8 months ago
• rsparapa / bnptools
  R packages for Bayesian Nonparametrics
  ☆16Updated 3 weeks ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 9 months ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆30Updated 2 years ago
• bvegetabile / entbal
  An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects
  ☆10Updated 3 years ago
• yqzhong7 / AIPW
  R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
  ☆25Updated last week
• ModelOriented / localModel
  LIME-like explanations with interpretable features based on Ceteris Paribus curves. Now on CRAN.
  ☆14Updated 3 years ago
• ledell / cvAUC
  Computationally efficient confidence intervals for cross-validated AUC estimates in R
  ☆23Updated 3 years ago