Alternatives and similar repositories for WeightIt:

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

• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated 11 months ago
• kosukeimai / mediation
  R package mediation
  ☆64Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆141Updated 3 weeks ago
• BS1125 / CMAverse
  A suite of functions for reproducible causal mediation analyses
  ☆57Updated last month
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last month
• CausalInference / GFORMULA-SAS
  The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆34Updated 6 months ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated 11 months ago
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆93Updated 4 months ago
• kosukeimai / MatchIt
  R package MatchIt
  ☆221Updated 2 weeks ago
• zeileis / ivreg
  2SLS Regression with Diagnostics in R
  ☆20Updated 2 months ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆61Updated 4 months ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆168Updated last week
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆78Updated last year
• jacob-long / panelr
  Regression models and utilities for repeated measures and panel data
  ☆101Updated last year
• giabaio / survHE
  Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…
  ☆41Updated 3 weeks ago
• DARTH-git / Microsimulation-tutorial
  Code of the Microsimulation tutorial
  ☆60Updated 5 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆213Updated this week
• edunford / tidysynth
  A tidy implementation of the synthetic control method in R
  ☆102Updated last year
• michaelhallquist / MplusAutomation
  The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation u…
  ☆86Updated this week
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 5 months ago
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆195Updated 6 months ago
• hesim-dev / hesim
  Health economic simulation modeling and decision analysis
  ☆67Updated 6 months ago
• rje42 / causl
  Methods for Specifying, Simulating from and Fitting Causal Models
  ☆14Updated 3 weeks ago
• DARTH-git / dampack
  Decision Analytic Modeling (DAM) package is a suite of functions for analyzing and visualizing the health economic outputs of mathematica…
  ☆37Updated 3 months ago
• n8thangreen / health_economics_R_packages
  List of health economics R packages.
  ☆74Updated 3 years ago
• jbryer / psa
  Propensity Score Analysis with R
  ☆87Updated last month
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆63Updated 3 weeks ago
• m-clark / mixedup
  An R package for extracting results from mixed models that are easy to use and viable for presentation.
  ☆69Updated 2 years ago