Alternatives and similar repositories for Statistics-lecture-notes-Potsdam:

Users that are interested in Statistics-lecture-notes-Potsdam are comparing it to the libraries listed below

• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 5 years ago
• ASKurz / Bayesian_power
  Seems like, there isn’t enough Bayesian power analysis talk out there. Let’s change that.
  ☆23Updated 5 years ago
• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 8 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• mbjoseph / CARstan
  Conditional autoregressive models in Stan
  ☆33Updated last year
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• mikemeredith / BEST
  Bayesian Estimation Supersedes t-Test
  ☆32Updated 3 years ago
• philchalmers / SimDesign
  Structure for organizing Monte Carlo simulations in R
  ☆62Updated this week
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 7 years ago
• vasishth / MScStatisticsNotes
  These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.
  ☆46Updated 9 years ago
• vasishth / LM
  ☆17Updated 4 years ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated last year
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 8 months ago
• vasishth / IntroductionBayes
  An introduction to Bayesian Data Analysis: A one-week course
  ☆43Updated 4 years ago
• singmann / mixed_model_workshop
  Materials for my Mixed Model Workshop
  ☆69Updated 5 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆52Updated 7 years ago
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆41Updated last week
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆61Updated 4 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆64Updated 4 years ago
• vdorie / blme
  Bayesian Linear Mixed Effect Models
  ☆43Updated 5 months ago
• jknowles / merTools
  Convenience functions for working with merMod objects from lme4
  ☆105Updated last year
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• lebebr01 / simglm
  Simulate regression models
  ☆43Updated 9 months ago
• ismayc / rbasics-book
  An introduction to R, RStudio, and RMarkdown created with GitHub pages and bookdown package
  ☆37Updated 3 months ago
• randel / MixRF
  A random-forest-based approach for imputing clustered incomplete data
  ☆35Updated 7 years ago
• luisdamiano / stancon18
  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
  ☆31Updated 7 years ago
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆66Updated 4 years ago
• m-clark / sem
  <- Structural Equation Modeling from a broader context.
  ☆30Updated 6 years ago
• ASKurz / recoding-Hayes-2018
  The completed project lives here:
  ☆26Updated 2 years ago