Alternatives and similar repositories for Delicatessen

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

• alexluedtke12 / pydimple
  ☆20Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆39Updated 3 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆81Updated last week
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated 11 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆117Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 8 months ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆98Updated 11 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated 4 months ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 5 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 9 months ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last month
• rizbicki / FlexCoDE
  ☆33Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆74Updated 2 weeks ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• spinkney / helpful_stan_functions
  ☆76Updated 2 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆33Updated 2 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 10 months ago
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 5 months ago