Alternatives and similar repositories for survtmle

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

• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆41Updated 4 months ago
• Larsvanderlaan / hte3
  Causal machine learning pipeline using tlverse/sl3
  ☆13Updated last year
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆26Updated 2 years ago
• thuizhou / PSweight
  ☆26Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last month
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆51Updated last month
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• tedwestling / survSuperLearner
  Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
  ☆14Updated 11 months ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆11Updated 4 months ago
• graemeleehickey / joineR
  R package for fitting joint models to time-to-event and longitudinal data
  ☆18Updated 10 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆80Updated 2 months ago
• giabaio / BCEA
  Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …
  ☆49Updated 2 weeks ago
• graemeleehickey / joineRML
  R package for fitting joint models to time-to-event data and multivariate longitudinal data
  ☆32Updated 9 months ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆19Updated 5 years ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆20Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• soerenkuenzel / hte
  ☆34Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated 3 weeks ago
• drizopoulos / JM
  Joint Models for Longitudinal & Survival Data under Maximum Likelihood
  ☆37Updated last year
• markmfredrickson / optmatch
  Functions for optimal matching in R
  ☆49Updated 3 weeks ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 2 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated 11 months ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆57Updated 2 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago
• sambrilleman / simjm
  Simulate Joint Longitudinal and Survival Data
  ☆15Updated 7 years ago
• eleanormurray / CausalSurvivalAnalysisWorkshop
  ☆42Updated 4 years ago
• nt-williams / lcmmtp
  Longitudinal Mediation with Modified Treatment Policies
  ☆12Updated last month
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 5 months ago
• nt-williams / mlr3superlearner
  Super learner fitting and prediction using mlr3
  ☆10Updated 8 months ago