Alternatives and similar repositories for ROS-Examples:

Users that are interested in ROS-Examples are comparing it to the libraries listed below

• avehtari / BDA_R_demos
  Bayesian Data Analysis demos for R
  ☆573Updated 6 months ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse
  The bookdown version lives here: https://bookdown.org/content/3890
  ☆403Updated 2 years ago
• stan-dev / stancon_talks
  Materials from Stan conferences
  ☆256Updated 4 years ago
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆315Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• stan-dev / bayesplot
  bayesplot R package for plotting Bayesian models
  ☆436Updated this week
• stan-dev / rstanarm
  rstanarm R package for Bayesian applied regression modeling
  ☆394Updated last month
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆244Updated 3 years ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆102Updated 3 years ago
• rmcelreath / stat_rethinking_2020
  Statistical Rethinking Course Winter 2020/2021
  ☆651Updated 4 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…
  ☆524Updated this week
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆167Updated 2 years ago
• mkfreeman / hierarchical-models
  A Visual Introduction to Hierarchical Modeling
  ☆286Updated 4 years ago
• mjskay / tidybayes
  Bayesian analysis + tidy data + geoms (R package)
  ☆735Updated 7 months ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆118Updated 2 years ago
• cavaunpeu / statistical-rethinking
  Solutions for the practice problems
  ☆146Updated 4 years ago
• r-causal / ggdag
  An R package for working with causal directed acyclic graphs (DAGs)
  ☆445Updated 2 weeks ago
• sctyner / history_of_statistics
  Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
  ☆168Updated 2 years ago
• ecpolley / SuperLearner
  Current version of the SuperLearner R package
  ☆274Updated last year
• greta-dev / greta
  simple and scalable statistical modelling in R
  ☆568Updated this week
• lindeloev / tests-as-linear
  Common statistical tests are linear models (or: how to teach stats)
  ☆496Updated last year
• vincentarelbundock / modelsummary
  Beautiful and customizable model summaries in R.
  ☆928Updated this week
• rasmusab / bayesian_first_aid
  Inside every classical test there is a Bayesian model trying to get out.
  ☆327Updated 8 years ago
• tidymodels / infer
  An R package for tidyverse-friendly statistical inference
  ☆743Updated this week
• proback / BeyondMLR
  Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…
  ☆172Updated last year
• easystats / bayestestR
  Utilities for analyzing Bayesian models and posterior distributions
  ☆582Updated this week
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• stan-dev / example-models
  Example models for Stan
  ☆782Updated this week
• noamross / gam-resources
  ☆190Updated 4 years ago
• vincentarelbundock / rethinking2
  ☆79Updated last year