Alternatives and similar repositories for Level-Set-Boosting

Users that are interested in Level-Set-Boosting are comparing it to the libraries listed below

• soerenkuenzel / hte
  ☆34Updated 3 years ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆22Updated 11 months ago
• thuizhou / PSweight
  ☆28Updated last year
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated last year
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 4 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆45Updated last year
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 6 months ago
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated last month
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆30Updated 9 years ago
• tedwestling / survSuperLearner
  Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
  ☆15Updated last year
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 3 years ago
• IyarLin / simMixedDAG
  The simMixedDAG package enables simulation of "real life" datasets from DAGs
  ☆13Updated 6 years ago
• shftan / surfin
  Statistical Inference for Random Forests
  ☆19Updated 6 years ago
• alexluedtke12 / pydimple
  ☆22Updated last year
• tedwestling / ctsCausal
  ☆10Updated 3 years ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last month
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 3 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆27Updated 2 years ago
• osofr / tmlenet
  Targeted Maximum Likelihood Estimation for Network Data
  ☆20Updated 8 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated 2 years ago
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• wenjie2wang / reda
  Recurrent Event Data Analysis
  ☆17Updated 5 months ago
• dalmiral / mHealthModeration
  Simulation results for "Assessing Time-Varying Causal Effect Moderation in Mobile Health"
  ☆17Updated 5 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆80Updated 2 weeks ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated last year
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆59Updated 3 months ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆64Updated 2 weeks ago