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114 search results found

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

RStan, the R interface to Stan

Bda_r_demos ⭐ 511

Bayesian Data Analysis demos for R

Rstanarm ⭐ 341

rstanarm R package for Bayesian applied regression modeling

Statsexpressions ⭐ 295

Tidy data frames and expressions with statistical summaries 📜

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

The base NIMBLE package for R

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

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

Projpred ⭐ 103

Projection predictive variable selection

Rexamples ⭐ 101

worked R examples

Parbayesianoptimization ⭐ 88

Parallelizable Bayesian Optimization in R

Laplacesdemon ⭐ 77

A complete environment for Bayesian inference within R

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Bactdating ⭐ 49

Bayesian inference of ancestral dates on bacterial phylogenetic trees

Companion package for the Coursera Statistics with R specialization

Dirichletprocess ⭐ 48

Build dirichletprocess objects for data analysis

Bayesian spatial analysis

babette is an R package to work with BEAST2

Bayesian Inference of State Space Models

Bbsbayes ⭐ 30

An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data

Data-driven Network-based Bayesian Inference of Drivers

Flexible Bayesian inference of mutational signatures

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

causact: R package to accelerate Bayesian analytics workflows.

Clonealign ⭐ 25

Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data

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.

BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.

Psci 3300 Political Science Research ⭐ 23

Course Content for PSCI 3300 Political Science Research Methods

Bvartools ⭐ 22

Functions for Bayesian inference of vector autoregressive models

Brmstools ⭐ 22

Helper functions for brmsfit objects (DEPRECATED)

Inlautils ⭐ 22

R package providing utilities for INLA

Modelacion Bayesiana ⭐ 21

Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Bayesian_workshop ⭐ 21

Material for a Bayesian statistics workshop

SAE Unit/area Models and Methods for Estimation in R

Dynamite ⭐ 17

Bayesian Inference of Complex Panel Data

A toolbox for rendering risk literacy more transparent

Datascience ⭐ 16

My data science projects, in Python and R, about statistical learning and Bayesian inference.

Statistics For Ecologists Master Courses ⭐ 15

The material for a course on Statistics for ecologists I teach every year to Master students.

Ggdistribute ⭐ 15

ggplot2 extension for plotting distributions

Debinfer ⭐ 14

Bayesian inference for dynamical models of biological systems in R

Bayesian modelling of DNA methylation heterogeneity at single-cell resolution

Laplacesdemon ⭐ 13

A complete environment for Bayesian inference within R

R package for geographic assignment

A friendly MCMC framework

Scr Stan ⭐ 11

Spatial capture-recapture models in Stan

Bayesian Clustering and Imputation of Single Cell Methylomes

Variational Inference for Multiply-Reported social network data https://doi.org/10.1093/jrsssa/qnac004

Scripts for file processing and analysis in phylogenetics and phylogeography

Bayesianreasoning ⭐ 8

R package with functions to plot and help understand Positive and Negative Predictive Values, and their relationship with Sensitivity, Specificity and Prevalence.

Stancon2020 ⭐ 8

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

Bayesian Inference for Global Vector Autoregressive (GVAR) and Global Vector Error Correction (GVEC) Models

Bayesian Statistics Project ⭐ 7

Project for the Bayesian Statistics exam at University of Trieste

An R package containing functions for parsing mobility data, fitting models using Bayesian inference, and simulating mobility patterns.

Bayesian Pape ⭐ 7

Introduction to rstanarm

Shinybrms ⭐ 7

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

👩‍🍳 🥧 Bayesian Analysis Kit for Etiology Research via Nested Partially Latent Class Models

Fits a discharge rating curve based on the power-law and the generalized power-law from data on paired water elevation and discharge measurements in a given river using a Bayesian hierarchical model as described in Hrafnkelsson et al. (2022)

Greta.lme ⭐ 7

a greta extension for hierarchical models

This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.

Undecided Voters Us Pres Elections ⭐ 6

Data and code for "Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016"

Multievent_jags_r ⭐ 6

Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)

Bayesian Bricks ⭐ 6

Basic building blocks in Bayesian statistics.

Probabilistic outlier identification for bulk RNA sequencing data

Bayesian No-Effect-Concentration estimation in R

Uci_covid_modeling ⭐ 6

Fully Flexible Probabilities for Stress-Testing and Portfolio Construction

Laplacesdemon ⭐ 5

A complete environment for Bayesian inference within R

Parallel Implementations of the Empirical Bayesian Elastic Net Cross-Validation in R

Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics

R-package for the introductory course on Bayesian inference at the València International Bayesian Summer School

Rbi.helpers ⭐ 5

Helper functions for inference with LibBi. Building on the rbi library.

Multilevelcoda ⭐ 5

multilevelcoda R package for Bayesian compositional multilevel modelling

Tool for genome wide association studies with Bayesian inference and statistical learning

R package for Bayesian inference with interacting particle systems

Shinydbnet ⭐ 4

Interactive Environment for Discrete Bayesian Networks

Elections.dtree ⭐ 4

Perform ballot-polling Bayesian audits for ranked voting elections using a Dirichlet-tree prior distribution.

Rhddmjags ⭐ 4

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.

Multinomineq ⭐ 3

Multinomial models with linear inequalities

Bayesian inference for persistence diagrams is illustrated. The R-package estimates the posterior distribution of persistence diagrams that are modeled as point processes.

Mhadaptive ⭐ 3

R package for general Metropolis Hastings sampling

Implementation of ex-situ priors, a Bayesian hierarchical framework for defining informative prior distributions in hydrogeology

Statmodeling ⭐ 3

Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "

Hdconfounding ⭐ 3

R package to implement high-dimensional confounding adjustment using continuous spike and slab priors

Bayesian inference of trait evolution under a “fossilized” Brownian motion.

An R package for Bayesian estimation of finite mixture distributions.

Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)

Prior Sensitivity ⭐ 3

A test of how informative priors can be

An R package for Bayesian Inference of Social Networks

Official repo of the R package mistral

The aim of this package is to enable simulations of information transmission using Poisson processes and Bayesian inference

Bsoinn Old Expired ⭐ 2

Bayesian Scalar on Image Regression with Non-ignorable Non-response

Pcfactorstan ⭐ 2

Stan Models for the Paired Comparison Factor Model

Bayesian linear model in R

R library for ggplots of INLA Fixed Effect Coefficients

Modelo Epidemiologico Sc ⭐ 2

Bayesian epidemiological model, with a focus on the state of Santa Catarina and its micro and macroregions. https://arxiv.org/abs/2104.01133

Mmodels_serra_article ⭐ 2

R code to fit spatio-temporal M-Models described in Vicente et al. (2020, SERRA)

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