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
  ☆326Updated 5 months ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆250Updated 2 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆311Updated last year
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• vincentarelbundock / marginaleffects
  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…
  ☆483Updated this week
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆166Updated 2 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆206Updated this week
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆99Updated 3 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆114Updated last year
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
  The bookdown version lives here: https://bookdown.org/content/3890
  ☆399Updated last year
• sctyner / history_of_statistics
  Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
  ☆167Updated 2 years ago
• r-causal / ggdag
  An R package for working with causal directed acyclic graphs (DAGs)
  ☆440Updated 5 months ago
• vincentarelbundock / rethinking2
  ☆76Updated last year
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆161Updated 3 months ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆253Updated 4 years ago
• easystats / bayestestR
  Utilities for analyzing Bayesian models and posterior distributions
  ☆578Updated this week
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆193Updated 3 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆75Updated last year
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆133Updated last month
• rmcelreath / PhD_planning_template
  Outline for planning PhD projects
  ☆108Updated 4 years ago
• EmilHvitfeldt / ISLR-tidymodels-labs
  ☆171Updated last year
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆136Updated last month
• RohanAlexander / telling_stories
  Telling Stories with Data
  ☆125Updated last month
• rmcelreath / stat_rethinking_2020
  Statistical Rethinking Course Winter 2020/2021
  ☆657Updated 3 years ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆126Updated last year
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆149Updated 7 months ago
• stan-dev / bayesplot
  bayesplot R package for plotting Bayesian models
  ☆434Updated this week
• stan-dev / posterior
  The posterior R package
  ☆167Updated last week
• Lakens / statistical_inferences
  Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
  ☆260Updated 3 months ago