
spBayes
 Referenced in 389 articles
[sw10160]
 Package for Univariate and Multivariate Hierarchical Pointreferenced 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 DriftDiffusion Model in Python. The diffusion model ... estimates of each parameter. In contrast, hierarchical Bayesian parameter estimation methods are useful for enhancing ... novel Pythonbased toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible ... subject/condition than nonhierarchical 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 PoissonGamma models. The methods are appropriate ... Bayesian hierarchical models with hyperparameters, as long as data values in a single level...

predictionprostatesurveillance
 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 DecisionMaking Tasks. Fit an array of decisionmaking ... 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...