
JAGS
 Referenced in 190 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...

spBayes
 Referenced in 325 articles
[sw10160]
 Univariate and Multivariate Hierarchical Pointreferenced Spatial Models. Scientists and investigators in such diverse fields ... data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves computationally...

tsbridge
 Referenced in 165 articles
[sw12354]
 tsbridge: Calculate normalising constants for Bayesian time series models. The tsbridge package contains a collection ... variety of time series Bayesian models, where parameters are estimated using BUGS, and models themselves...

BUGS
 Referenced in 358 articles
[sw07885]
 flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo...

PMTK
 Referenced in 160 articles
[sw14689]
 software framework encompassing machine learning, graphical models, and Bayesian statistics (hence the logo). (Some methods...

mclust
 Referenced in 256 articles
[sw00563]
 algorithm for ModelBased Clustering, Classification, and Density Estimation, including Bayesian regularization...

DPpackage
 Referenced in 62 articles
[sw10495]
 DPpackage: Bayesian Semi and Nonparametric Modeling in R. Data analysis sometimes requires the relaxation ... specification of the probability model. In the Bayesian context, this is accomplished by placing ... implementation of some Bayesian nonparametric and semiparametric models in R, DPpackage. Currently, DPpackage includes models...

BayesTree
 Referenced in 58 articles
[sw07995]
 Bayesian Methods for Tree Based Models: Implementation of BART: Bayesian Additive Regression Trees. We develop ... Bayesian “sumoftrees” model where each tree is constrained by a regularization prior ... inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis...

tgp
 Referenced in 35 articles
[sw07921]
 package tgp: Bayesian treed Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design ... with jumps to the limiting linear model ... Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable...

Amos
 Referenced in 59 articles
[sw06515]
 easily compare, confirm and refine models. Uses Bayesian analysis—to improve estimates of model parameters...

BayesLogit
 Referenced in 44 articles
[sw09312]
 package BayesLogit: PolyaGamma Sampling. Bayesian inference for logistic models using PólyaGamma latent variables ... dataaugmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals...

MrBayes
 Referenced in 49 articles
[sw07715]
 MrBayes is a program for Bayesian inference and model choice across a wide range...

PyMC
 Referenced in 30 articles
[sw10482]
 PyMC: Bayesian Stochastic Modelling in Python. PyMC is a python module that implements Bayesian statistical...

rjags
 Referenced in 43 articles
[sw08039]
 package rjags: Bayesian graphical models using MCMC. Interface to the JAGS MCMC library. The rjags ... from R to the JAGS library for Bayesian data analysis. JAGS uses Markov Chain Monte...

mi
 Referenced in 26 articles
[sw10551]
 predictors, models, and transformations for chained imputation models; standard and binned residual plots for checking ... imputed data. In addition, we use Bayesian models and weakly informative prior distributions to construct...

AISBN
 Referenced in 25 articles
[sw02223]
 exact algorithms in very large Bayesian network models, have been observed to perform poorly ... dimensional integrals and the structural advantages of Bayesian networks, (2) a smooth learning method ... tests three large real Bayesian network models available to the scientific community: the CPCS network...

ADVI
 Referenced in 23 articles
[sw34040]
 technique for approximate Bayesian inference. Deriving variational inference algorithms requires tedious modelspecific calculations; this ... ADVI). The user only provides a Bayesian model and a dataset; nothing else. We make...

bvarsv
 Referenced in 85 articles
[sw11023]
 bvarsv: Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and TimeVarying Parameters...

bayesm
 Referenced in 54 articles
[sw06787]
 course that emphasizes the value of the Bayesian approach to solving nontrivial problems. The success ... provides efficient implementation of advanced methods and models...

spTimer
 Referenced in 15 articles
[sw24237]
 package spTimer: SpatioTemporal Bayesian Modelling. Fits, spatially predicts and temporally forecasts large amounts ... using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian AutoRegressive (AR) Models ... Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatiotemporal bign problems. Bakar...