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186 search results found

Prophet ⭐ 16,384

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Rethinking ⭐ 1,967

Statistical Rethinking course and book package

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

RStan, the R interface to Stan

Tidybayes ⭐ 689

Bayesian analysis + tidy data + geoms (R package)

Bda_r_demos ⭐ 530

Bayesian Data Analysis demos for R

simple and scalable statistical modelling in R

Bayesplot ⭐ 376

bayesplot R package for plotting Bayesian models

Rstanarm ⭐ 356

rstanarm R package for Bayesian applied regression modeling

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Rstanbook ⭐ 162

『StanとRでベイズ統計モデリング』のサポートページです.

Miscellaneous R Code ⭐ 140

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Cmdstanr ⭐ 110

CmdStanR: the R interface to CmdStan

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Projpred ⭐ 104

Projection predictive variable selection

Rexamples ⭐ 103

worked R examples

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Stan Statespace ⭐ 93

Stan models for state space time series

An R package for Bayesian structural equation modeling

Gsoc17 Hhmm ⭐ 73

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

Bayescog_wien ⭐ 70

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

Dbda2estan ⭐ 63

Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Bridgestan ⭐ 55

BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.

Cmdstan_map_rect_tutorial ⭐ 50

Beginner tutorial for using cmdstan with multithreading

Bayes Vis Paper ⭐ 49

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

{mvgam} R 📦 to fit Dynamic Bayesian Generalised Additive Models for time series analysis and forecasting

Distribution Zoo ⭐ 49

App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan

Glmer2stan ⭐ 47

Define Stan models using glmer-style (lme4) formulas

Bayesian spatial analysis

Epinowcast ⭐ 45

Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

Rstantools ⭐ 44

Tools for Developing R Packages Interfacing with Stan

R package for Bayesian meta-analysis models, using Stan

Bayesian ⭐ 40

Bindings for Bayesian TidyModels

Glmmfields ⭐ 40

R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes

Bayesian Generalized Linear Models with Time-Varying Coefficients

Stantargets ⭐ 39

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

『基礎からわかる時系列分析』（技術評論社，2018年）のサポートサイトです。

👓 Functions related to R visualizations

Priorsense ⭐ 37

priorsense: an R package for prior diagnostics and sensitivity

A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.

Streammetabolizer ⭐ 31

streamMetabolizer uses inverse modeling to estimate aquatic metabolism (photosynthesis and respiration) from time series data on dissolved oxygen, water temperature, depth, and light.

Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.

Bridgesampling ⭐ 30

R package for bridge sampling

Statistical Modeling Examples ⭐ 28

Basic statistical modelling examples.

Thurstonianirt ⭐ 27

Fit Thurstonian IRT models in R using Stan, lavaan, or Mplus

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Stantuner ⭐ 26

This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Stansensitivity ⭐ 24

Tools for automatically generating local sensitivity measures in Stan.

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Psci 3300 Political Science Research ⭐ 23

Course Content for PSCI 3300 Political Science Research Methods

Covidseir ⭐ 22

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

Causalqueries ⭐ 22

Bayesian inference from binary causal models

Diff Means Half Dozen Ways ⭐ 21

Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan

Multinma ⭐ 20

Network meta-analysis of individual and aggregate data in Stan

Bayes Course ⭐ 20

An introduction to Bayesian data analysis with Stan (a work in progress)

Hierarchical Bayesian Modeling of English Premier League

Themetagenomics ⭐ 18

Dynamite ⭐ 17

Bayesian Inference of Complex Panel Data

BayesVL package for Bayesian statistical analyses in R

R package to fit statistical models to repeated categorical rating data using Stan

Instantiate ⭐ 15

Pre-compiled CmdStan models in R packages

An R package containing helper functions for Stan

Stan Survival Shrinkage ⭐ 14

Bayesian linear survival analysis with shrinkage priors in Stan

IRT ideal point models in R using Stan

Bayes4psy ⭐ 14

A library intended to simplify use of Bayesian statistics in psychology.

Translate System Dynamics models (Stella, Vensim) into R

Probabilistic_programming ⭐ 13

Stan syntax highlighting for knitr

Notebooks ⭐ 12

Collection of (unfinished) notebooks

Code for effectively dealing with running CmdStan... from R.... because reasons...

Gradmcmc ⭐ 12

Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo

Inference on marginal distributions using gradient-based optimization

Geared simulations: Easy computations over posterior simulations

Scr Stan ⭐ 11

Spatial capture-recapture models in Stan

Documents that go into methodological detail regarding various statistical procedures.

Stan Workshop ⭐ 11

Examples of working and non-working models, initially for ODCS 2016 in Boston.

Targets Stan ⭐ 11

An example project to validate a Stan model in a targets pipeline

Rstan Varsel ⭐ 9

Projection predictive input variable selection using Stan+R

Model Discrete Parameters In Stan

Bayesian tools for reconstructing past demography

Reliability_2020 ⭐ 9

Bayesian calibration of Building Energy Models using Stan modeling language

Pydatabratislava ⭐ 8

All the documents for PyDataBratislava

Election_stan_analysis ⭐ 8

Stancon2020 ⭐ 8

Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"

Bayescog_part1 ⭐ 7

Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).

Brms.mmrm ⭐ 7

R package to run Bayesian MMRMs using {brms}

Shinybrms ⭐ 7

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Conduct parametric analysis on EnergyPlus models in R

Bayesian Statistics Project ⭐ 7

Project for the Bayesian Statistics exam at University of Trieste

Paramedic ⭐ 7

Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations

Gpu Stan Paper Materials ⭐ 7

Replication scripts, measurement data, visualization scripts, and installation instructions for the paper "GPU-based Parallel Computation Support for Stan".

Stat_comp_benchmarks ⭐ 7

Benchmark Models for Evaluating Algorithm Accuracy

Uci_covid_modeling ⭐ 6

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