Alternatives and similar repositories for causal_salad_2021

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

• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆285Updated 3 years ago
• avehtari / ROS-Examples
  Regression and other stories R examples
  ☆346Updated 5 months ago
• rmcelreath / stat_rethinking_2025
  ☆160Updated 8 months ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆170Updated 3 years ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆140Updated 9 months ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆321Updated 2 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 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…
  ☆181Updated last week
• cavaunpeu / statistical-rethinking
  Solutions for the practice problems
  ☆146Updated 5 years ago
• ben18785 / distribution-zoo
  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
  ☆92Updated last year
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated last year
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆201Updated 2 months ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆105Updated 4 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆254Updated 5 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 5 years ago
• jffist / statistical-rethinking-solutions
  Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
  ☆62Updated 7 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• Lakens / statistical_inferences
  Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
  ☆291Updated last month
• mkfreeman / hierarchical-models
  A Visual Introduction to Hierarchical Modeling
  ☆292Updated 5 years ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last week
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated this week
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆149Updated last year
• proback / BeyondMLR
  Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…
  ☆178Updated 2 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆83Updated 3 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆232Updated 3 weeks ago
• rmcelreath / VLEGT
  Verty short course on evolutionary game theory
  ☆179Updated last year
• chelseaparlett / CPSC392ParlettPelleriti
  ☆176Updated last year