• spBayes

  • Referenced in 330 articles [sw10160]
  • Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. Scientists and investigators in such ... data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves computationally...
  • JAGS

  • Referenced in 209 articles [sw08040]
  • program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation ... plaftorm for experimentation with ideas in Bayesian modelling. JAGS is licensed under the GNU General...
  • Medlda

  • Referenced in 11 articles [sw11723]
  • with the mechanism behind the hierarchical Bayesian topic models (e.g., LDA) under a unified constrained...
  • spate

  • Referenced in 6 articles [sw12265]
  • component in a customized hierarchical Bayesian model (HBM). The functions of the package then provide...
  • bayesTFR

  • Referenced in 5 articles [sw14469]
  • countries of the world, using a Bayesian hierarchical model...
  • HBC

  • Referenced in 5 articles [sw24836]
  • toolkit for implementing hierarchical Bayesian models. HBC was created because I felt like I spend ... Bayesian models. There are several goals of HBC: Allow a natural implementation of hierarchal models ... message passing). Allow for hierarchical models to be easily embedded in larger programs. Automatic ... These goals distinguish HBC from other Bayesian modeling software, such as Bugs (or WinBugs...
  • parallelMCMCcombine

  • Referenced in 3 articles [sw21115]
  • logistic regression, Bayesian Gaussian mixture models and Bayesian hierarchical Poisson-Gamma ... models. The methods are appropriate for Bayesian hierarchical models with hyperparameters, as long as data...
  • BITE

  • Referenced in 7 articles [sw13222]
  • BITE: A Bayesian Intensity Estimator. BITE is a software package designed for the analysis ... event history data using flexible hierarchical models and Bayesian inference, with a particular emphasis...
  • bayesLife

  • Referenced in 4 articles [sw14468]
  • countries of the world, using a Bayesian hierarchical model...
  • HDDM

  • Referenced in 11 articles [sw16420]
  • HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python. The diffusion model ... estimates of each parameter. In contrast, hierarchical Bayesian parameter estimation methods are useful for enhancing ... Python-based toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible estimation ... model. HDDM requires fewer data per subject/condition than non-hierarchical methods, allows for full Bayesian...
  • BAHAMAS

  • Referenced in 4 articles [sw20222]
  • present results obtained by applying our BAyesian HierArchical Modeling for the Analysis of Supernova cosmology...
  • RSGHB

  • Referenced in 5 articles [sw23112]
  • Flexible Approach. Functions for estimating models using a Hierarchical Bayesian (HB) framework. The flexibility comes ... directly instead of assuming predetermined model structures. Types of models that can be estimated with ... code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error ... Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis...
  • prediction-prostate-surveillance

  • Referenced in 2 articles [sw23312]
  • Bayesian hierarchical model for prediction of latent health states from multiple data sources with application ... this article, we present a Bayesian hierarchical model for predicting a latent health state from...
  • ggdmc

  • Referenced in 2 articles [sw30004]
  • package ggdmc: Cognitive Models. Hierarchical Bayesian models. The package provides tools to fit two response...
  • MultiBUGS

  • Referenced in 3 articles [sw31621]
  • parallel implementation of the BUGS modelling framework for faster Bayesian inference. MultiBUGS implements a simple ... MCMC) algorithms for posterior inference of Bayesian hierarchical models. It builds on the existing algorithms...
  • LearnBayes

  • Referenced in 3 articles [sw04495]
  • helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing ... also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling...
  • popReconstruct

  • Referenced in 2 articles [sw07437]
  • formal demographic accounting relationships in a Bayesian hierarchical model. Informative priors are specified for vital...
  • TMBP

  • Referenced in 2 articles [sw14435]
  • Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts...
  • BILBY

  • Referenced in 2 articles [sw35188]
  • astrophysical properties. We introduce a user-friendly Bayesian inference library for gravitational-wave astronomy, Bilby ... binary mergers and other types of signal models, including supernovae and the remnants of binary ... examples illustrate how to change the signal model, implement new likelihood functions ... functionality to do population studies using hierarchical Bayesian modeling. We provide an example in which...
  • BFDA

  • Referenced in 2 articles [sw14769]
  • Matlab toolbox, BFDA, that implements a Bayesian hierarchical model for smoothing functional data and estimating ... covariance function. An option of approximating the Bayesian inference process with cubic B-spline basis...