RStan, the R interface to Stan
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Updated
Jul 18, 2024 - R
RStan, the R interface to Stan
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
rstanarm R package for Bayesian applied regression modeling
Companion package for the Coursera Statistics with R specialization
shinystan R package and ShinyStan GUI
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Projection predictive variable selection
Parallelizable Bayesian Optimization in R
Full Bayesian Inference for Hidden Markov Models
Tidy data frames and expressions with statistical summaries 📜
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.
Build dirichletprocess objects for data analysis
An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
Functions for Bayesian inference of vector autoregressive and vector error correction models
R package providing utilities for INLA
The material for a course on Statistics for ecologists I teach every year to Master students.
Data-driven Network-based Bayesian Inference of Drivers
Bayesian estimation of the finishing skill of football players
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