priorsense: an R package for prior diagnostics and sensitivity
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Updated
Jun 6, 2024 - R
priorsense: an R package for prior diagnostics and sensitivity
Estimate flight tracks from radio-telemetry data using a Hidden Markov Model.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
R package to run Bayesian MMRMs using {brms}
Hierarchical Bayesian Aldrich-McKelvey Scaling in R via Stan
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Bayesian spatial analysis
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
CmdStanR: the R interface to CmdStan
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Work on Bayesian growth mixture models including hidden Markov chains and softmax regressions for representing latent class memberships.
This repository holds slides and code for a full Bayesian statistics graduate course.
📖 R 语言数据分析实战(写作中) Data Analysis in Action Using R
This is the development site for an Integrated Population Model for chum salmon in the lower Columbia River.
Multivariate dynamic linear models using Bayesian methods in Stan
Introduction to Probabilistic Programming
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