Alternatives and similar repositories for causal_salad_2021

Users that are interested in causal_salad_2021 are comparing it to the libraries listed below

• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆349Updated 7 months ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆292Updated 3 years ago
• rmcelreath / stat_rethinking_2025
  ☆173Updated 9 months ago
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆322Updated 2 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆171Updated 3 years 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…
  ☆182Updated 2 months ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆141Updated 11 months ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• cavaunpeu / statistical-rethinking
  Solutions for the practice problems
  ☆146Updated 5 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated 2 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated 2 years ago
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆204Updated 4 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated 2 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆152Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• chelseaparlett / CPSC392ParlettPelleriti
  ☆176Updated last year
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆104Updated 4 years ago
• ben18785 / distribution-zoo
  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
  ☆92Updated 2 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆255Updated 5 years ago
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆86Updated 2 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆234Updated last month
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆97Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• mkfreeman / hierarchical-models
  A Visual Introduction to Hierarchical Modeling
  ☆292Updated 5 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 5 months ago
• proback / BeyondMLR
  Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…
  ☆181Updated 2 years ago