Alternatives and similar repositories for causaloptim:

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

• 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
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆12Updated 2 years ago
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• thuizhou / PSweight
  ☆23Updated 11 months ago
• benkeser / drtmle
  Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
  ☆19Updated 2 years ago
• nt-williams / adjrct
  Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions
  ☆12Updated 3 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 5 months ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• IyarLin / simMixedDAG
  The simMixedDAG package enables simulation of "real life" datasets from DAGs
  ☆13Updated 5 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
  ☆38Updated 3 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆23Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆24Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 4 months ago
• itamarcaspi / EconML-with-R
  How to use EconML within R
  ☆11Updated 5 years ago
• LauraBalzer / HierarchicalTMLE
  R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…
  ☆9Updated 5 years ago
• DiogoFerrari / hdpGLM
  Hierarchical Dirichlet Process Generalized Linear Models
  ☆12Updated last year
• rsparapa / bnptools
  R packages for Bayesian Nonparametrics
  ☆15Updated last month
• mayamathur / evalue_package
  Code for the R package "EValue" and GUI website.
  ☆16Updated 3 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• yqzhong7 / AIPW
  R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
  ☆24Updated 5 months ago
• ssdavenport / microsynth
  Synthetic controls for micro-level data
  ☆16Updated last year
• yenchic / ModalRegression
  ☆9Updated 8 years ago