• spBayes

  • Referenced in 389 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 272 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...
  • 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 ... novel Python-based toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible ... subject/condition than non-hierarchical methods, allows for full Bayesian data analysis, and can handle outliers...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • SVMs) with the mechanism behind the hierarchical Bayesian topic models (e.g., LDA) under a unified...
  • RSGHB

  • Referenced in 5 articles [sw23112]
  • package RSGHB: Functions for Hierarchical Bayesian Estimation: A Flexible Approach. Functions for estimating models using ... Hierarchical Bayesian (HB) framework. The flexibility comes in allowing the user to specify the likelihood ... Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis...
  • bayesTFR

  • Referenced in 8 articles [sw14469]
  • countries of the world, using a Bayesian hierarchical model...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data ... that is embedded in a Bayesian framework. A hierarchical prior distribution on the regression parameters...
  • bclust

  • Referenced in 6 articles [sw23381]
  • package bclust: Bayesian Hierarchical Clustering Using Spike and Slab Models. Builds a dendrogram using ... also capable to computing equivalent Bayesian discrimination probabilities. The adopted method suites small sample large...
  • BhGLM

  • Referenced in 4 articles [sw10342]
  • functions for setting up and fitting Bayesian hierarchical GLMs, for numerically and graphically displaying ... association studies and QTL mapping. The Bayesian hierarchical GLMs include many models as special cases...
  • MultiBUGS

  • Referenced in 6 articles [sw31621]
  • MCMC) algorithms for posterior inference of Bayesian hierarchical models. It builds on the existing algorithms...
  • spate

  • Referenced in 6 articles [sw12265]
  • component in a customized hierarchical Bayesian model (HBM). The functions of the package then provide...
  • 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 ... maximizations, EM and message passing). Allow for hierarchical models to be easily embedded in larger ... models. These goals distinguish HBC from other Bayesian modeling software, such as Bugs (or WinBugs...
  • bayesLife

  • Referenced in 5 articles [sw14468]
  • countries of the world, using a Bayesian hierarchical model...
  • parallelMCMCcombine

  • Referenced in 3 articles [sw21115]
  • regression, Bayesian Gaussian mixture models and Bayesian hierarchical Poisson-Gamma models. The methods are appropriate ... Bayesian hierarchical models with hyperparameters, as long as data values in a single level...
  • prediction-prostate-surveillance

  • Referenced in 3 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...
  • hbsae

  • Referenced in 3 articles [sw30837]
  • package hbsae: Hierarchical Bayesian Small Area Estimation. Functions to compute small area estimates based ... restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration...
  • BAHAMAS

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

  • Referenced in 2 articles [sw40673]
  • package hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks. Fit an array of decision-making ... tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis...
  • LearnBayes

  • Referenced in 6 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...
  • 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...