Alternatives and similar repositories for miic_R_package

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

• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 6 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated last year
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆88Updated last year
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆280Updated 2 years ago
• ErikinBC / SurvSet
  ☆58Updated 2 months ago
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆39Updated last week
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆74Updated 2 weeks ago
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆16Updated 5 months ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆148Updated 2 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 11 months ago
• IyarLin / survXgboost
  A small wrapper package that enables full survival curve estimation using xgboost
  ☆19Updated last year
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆43Updated 3 years ago
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 10 months ago
• jaredhuling / personalized
  Methods for subgroup identification / personalized medicine / individualized treatment rules
  ☆32Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆81Updated last month
• kisungyou / Rdimtools
  Dimension Reduction and Estimation Methods
  ☆54Updated 2 years ago
• jmpsteen / medflex
  Flexible mediation analysis using natural effect models in R
  ☆24Updated 2 years ago
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆91Updated this week
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆33Updated 2 years ago
• HaohanWang / thePrecisionLasso
  implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
  ☆13Updated 4 years ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated this week
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆26Updated 3 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• cran / bnlearn
   This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Infe…
  ☆60Updated 2 weeks ago
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆67Updated last year
• tedwestling / CFsurvival
  R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…
  ☆11Updated 2 years ago
• anthonydevaux / DynForest
  Random forest with multivariate longitudinal predictors
  ☆17Updated 3 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…
  ☆52Updated 2 years ago