Alternatives and similar repositories for Delicatessen

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

• ehkennedy / npcausal
  ☆96Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• alexluedtke12 / pydimple
  ☆22Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 3 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 5 years ago
• forestry-labs / causalToolbox
  ☆48Updated 2 years ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆100Updated last year
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆50Updated last year
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆40Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 4 months ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 9 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated last year
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 5 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆16Updated 5 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆96Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated 2 months ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆46Updated last week
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆29Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆150Updated last year
• rizbicki / FlexCoDE
  ☆33Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆76Updated last month
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆31Updated 9 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 4 months ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• avehtari / casestudies
  ☆30Updated last year
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆154Updated 8 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago