mhtess / rwebpplLinks
RWebPPL, an R interface to Webppl http://webppl.org
☆22Updated 2 years ago
Alternatives and similar repositories for rwebppl
Users that are interested in rwebppl are comparing it to the libraries listed below
Sorting:
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 5 years ago
- ☆31Updated last year
- R package for creating a reproducible CogSci submission☆24Updated 2 years ago
- This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail beh…☆29Updated 6 years ago
- notebooks, quizes, exams and labs for nyu psychology lab courses☆19Updated 11 months ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 4 years ago
- Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth☆99Updated 8 months ago
- Lecture notes from a statistics course I teach at Potsdam☆29Updated 5 years ago
- Beginner tutorial for using cmdstan with multithreading☆62Updated 5 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- An introduction to Bayesian Data Analysis: A one-week course☆43Updated 5 years ago
- Structural Equation Modeling using Torch☆53Updated last month
- Collection of my implementations of computational models of cognition☆11Updated last year
- Formal Psychological Models of Categorization and Learning☆26Updated 7 months ago
- Case studies in applied and computational statistics.☆39Updated 5 months ago
- Implementation of B-Splines in Stan☆51Updated 8 years ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated this week
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆47Updated 7 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last week
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 9 years ago
- ☆28Updated 6 years ago
- An R software package to write, train, tune, test, and compare machine-learning models of cognition☆26Updated 2 years ago
- Some teaching material and other educational resources☆41Updated 2 months ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Bayesian DFA with Stan☆29Updated 5 months ago
- This repo is a set of templates that will guide you through a Bayesian analysis in R, even if you have never done Bayesian analysis befor…☆20Updated 6 years ago
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Updated 8 years ago