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469 search results found

Ggstatsplot ⭐ 1,773

Enhancing {ggplot2} plots with statistical analysis 📊📣

Causalimpact ⭐ 1,484

An R package for causal inference in time series

Easystats ⭐ 949

🌌 The R easystats-project

Visualizations of distributions and uncertainty

Tidybayes ⭐ 689

Bayesian analysis + tidy data + geoms (R package)

📜 🎉 Automated reporting of objects in R

Bda_r_demos ⭐ 530

Bayesian Data Analysis demos for R

Bayestestr ⭐ 529

👻 Utilities for analyzing Bayesian models and posterior distributions

Correlation ⭐ 390

🔗 Methods for Correlation Analysis

Bayesplot ⭐ 376

bayesplot R package for plotting Bayesian models

Rstanarm ⭐ 356

rstanarm R package for Bayesian applied regression modeling

Bayesian_first_aid ⭐ 292

Inside every classical test there is a Bayesian model trying to get out.

Bayesab ⭐ 278

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Posterior ⭐ 147

The posterior R package

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 Now almost entirely superseded by the models-by-example repo.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)

Bayesfactor ⭐ 124

BayesFactor R package for Bayesian data analysis with common statistical models.

Sigminer ⭐ 118

🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/

Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data

Cmdstanr ⭐ 110

CmdStanR: the R interface to CmdStan

Psycho.r ⭐ 110

An R package for experimental psychologists

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

Bayesiannetwork ⭐ 105

Bayesian Network Modeling and Analysis

Projpred ⭐ 104

Projection predictive variable selection

Tidyposterior ⭐ 101

Bayesian comparisons of models using resampled statistics

Bayesiantools ⭐ 97

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Parbayesianoptimization ⭐ 88

Parallelizable Bayesian Optimization in R

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

Laplacesdemon ⭐ 77

A complete environment for Bayesian inference within R

Blenditbayes ⭐ 76

Code used in my blog "Blend it like a Bayesian!"

Rbayesianoptimization ⭐ 75

Bayesian Optimization of Hyperparameters

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

Multilevelmod ⭐ 67

Parsnip wrappers for mixed-level and hierarchical models

Dbda2estan ⭐ 63

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

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Bartcause ⭐ 60

Causal Inference using Bayesian Additive Regression Trees

Bayesian Macroeconometrics in R

Dirichletprocess ⭐ 53

Build dirichletprocess objects for data analysis

Political Science Computational Laboratory

Bayes Vis Paper ⭐ 49

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

Bactdating ⭐ 49

Bayesian inference of ancestral dates on bacterial phylogenetic trees

Companion package for the Coursera Statistics with R specialization

Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data

Bayesmodels ⭐ 46

The Tidymodels Extension for Bayesian Models

Bayesian spatial analysis

Bayesboot ⭐ 44

An R package implementing Rubin's (1981) Bayesian bootstrap.

Learningbayes ⭐ 44

An introduction to Bayesian statistics

A framework for Bayesian mixing models in R:

R package for Bayesian meta-analysis models, using Stan

Quant3materials ⭐ 40

PhD course: Quantitative Methods for Political Science III (NYU) -- Recitation Materials

Changepoints ⭐ 40

Bayesian online change point detection and offline learning

Bayesian Generalized Linear Models with Time-Varying Coefficients

Glmmfields ⭐ 40

R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes

Bayesian multilevel mediation models in R

Biogeobears ⭐ 40

BioGeography with Bayesian (and likelihood) Evolutionary Analysis with R Scripts

Bayesian Gaussian Graphical Models

Bayesian ⭐ 40

Bindings for Bayesian TidyModels

Stantargets ⭐ 39

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Mlbayesopt ⭐ 39

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

Spatialreg ⭐ 39

spatialreg: spatial models estimation and testing

Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.

Large-scale Bayesian variable selection for R and MATLAB.

Bayesian network plot for the enrichment analysis results

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

Priorsense ⭐ 37

priorsense: an R package for prior diagnostics and sensitivity

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

shinyBN: An online application for interactive Bayesian network inference and visualization

Bayesian Inference of State Space Models

A Bayesian radiocarbon chronology model with R

Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results

Fastbaps ⭐ 31

A fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data

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

Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press

Risknetwork ⭐ 28

Risk Network Modeling and Analysis

Flexible Bayesian inference of mutational signatures

Functions for phylogenetic analyses

Statistical Rethinking Solutions ⭐ 26

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Robust differential composition and variability analysis for single-cell data

Bayesian Multivariate Time Series Causal Inference ⭐ 26

R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''

Bayesian_tutorial ⭐ 25

Tutorial on Bayesian phylogenetic analysis

Latent Dirichlet Allocation coupled with Bayesian Time Series analyses

Bvartools ⭐ 23

Functions for Bayesian inference of vector autoregressive and vector error correction models

Bayesian kernel machine regression

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Bayesiansocialscience ⭐ 22

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

A stable isotope mixing model in R

Covidseir ⭐ 22

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

Bayesian_workshop ⭐ 21

Material for a Bayesian statistics workshop

Diff Means Half Dozen Ways ⭐ 21

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

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