Alternatives and similar repositories for causl

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

• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆63Updated 6 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…
  ☆51Updated 2 years ago
• kosukeimai / mediation
  R package mediation
  ☆68Updated 2 months ago
• CecileProust-Lima / lcmm
  R package lcmm
  ☆68Updated 2 months ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆116Updated 2 weeks 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 month
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last month
• tagteam / riskRegression
  R package for risk regression and prediction with censored data
  ☆50Updated this week
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆91Updated this week
• openpharma / mmrm
  Mixed Models for Repeated Measures (MMRM) in R.
  ☆144Updated this week
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆177Updated 2 months ago
• jmpsteen / medflex
  Flexible mediation analysis using natural effect models in R
  ☆24Updated 2 years ago
• ehsanx / simMSM
  R package that simulates data suitable for fitting Marginal Structural Model.
  ☆13Updated 2 years ago
• rdboyes / forester
  An R package for creating publication-ready forest plots.
  ☆158Updated last year
• jenfb / bkmr
  Bayesian kernel machine regression
  ☆59Updated 9 months ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆150Updated 4 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆227Updated this week
• selective-inference / R-software
  R software for selective inference
  ☆35Updated 5 years ago
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆201Updated 2 weeks ago
• CRFCSDAU / EH6126_data_analysis_tutorials
  ☆33Updated 3 years ago
• m-clark / mixedup
  An R package for extracting results from mixed models that are easy to use and viable for presentation.
  ☆70Updated 2 years ago
• julianfaraway / rexamples
  worked R examples
  ☆116Updated 10 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated 2 months ago
• kosukeimai / MatchIt
  R package MatchIt
  ☆230Updated 2 months ago
• kdpsingh / runway
  Visualizing Prediction Model Performance
  ☆77Updated last year
• Causal-LDA / TrialEmulation
  ☆28Updated 3 weeks ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆132Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 10 months ago
• m-clark / mixed-models-with-R
  Covers the basics of mixed models, mostly using @lme4
  ☆143Updated 3 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago