• BMA

  • Referenced in 8 articles [sw08015]
  • package BMA: Bayesian Model Averaging. Package for Bayesian model averaging for linear models, generalizable linear...
  • ensembleBMA

  • Referenced in 4 articles [sw21377]
  • ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging. Bayesian Model Averaging to create probabilistic...
  • bridgesampling

  • Referenced in 7 articles [sw21804]
  • Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants...
  • BAS

  • Referenced in 5 articles [sw24118]
  • Model Averaging using Bayesian Adaptive Sampling. Package for Bayesian Variable Selection and Model Averaging...
  • BMS

  • Referenced in 3 articles [sw24117]
  • package BMS: Bayesian Model Averaging Library. Bayesian model averaging for linear models with a wide...
  • DREAM

  • Referenced in 5 articles [sw24746]
  • GLUE), diagnostic model evaluation, data assimilation, Bayesian model averaging, distributed computation, and informative/noninformative prior distributions ... with a great arsenal of options for Bayesian inference.The toolbox supports/implements parallel computing.Seven different case...
  • BART-BMA

  • Referenced in 2 articles [sw23498]
  • Bayesian additive regression trees using Bayesian model averaging. Bayesian Additive Regression Trees (BART ... BART called BART-BMA, which uses Bayesian model averaging and a greedy search algorithm...
  • BVSNLP

  • Referenced in 3 articles [sw22350]
  • model. The option to use Bayesian Model Averaging (BMA) is also part of this package...
  • mlogitBMA

  • Referenced in 2 articles [sw11269]
  • package mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models. Provides a modified function bic.glm...
  • networkBMA

  • Referenced in 1 article [sw32425]
  • networkBMA: Regression-based network inference using Bayesian Model Averaging. An extension of Bayesian Model Averaging...
  • iterativeBMA

  • Referenced in 1 article [sw32426]
  • Bioconductor/R package iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm. The iterative Bayesian Model Averaging...
  • BEAST

  • Referenced in 41 articles [sw12588]
  • cross-platform program for Bayesian phylogenetic analysis of molecular sequences. It estimates rooted, time-measured ... phylogenies using strict or relaxed molecular clock models. It can be used as a method ... uses Markov chain Monte Carlo (MCMC) to average over tree space, so that each tree...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • accomplish this, PicHunter uses Bayesian learning based on a probabilistic model of a user ... behavior. The predictions of this model are combined with the selections made during a search ... select images for display. Details of our model of a user’s behavior were tuned ... database of 4522 images after displaying an average of only 55 groups of 4 images...
  • hbsae

  • Referenced in 3 articles [sw30837]
  • model is fit using restricted maximum likelihood, or in a hierarchical Bayesian ... latter case numerical integration is used to average over the posterior density for the between ... area variance. The output includes the model fit, small area estimates and corresponding MSEs...
  • ProtTest 3

  • Referenced in 3 articles [sw23032]
  • with the smallest Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) score or Decision Theory ... same time, ProtTest obtains model-averaged estimates of different parameters (including a model-averaged phylogenetic...
  • BayesPy

  • Referenced in 1 article [sw15438]
  • implementing the variational Bayesian update equations, the user can construct models faster ... model construction and efficient inference make BayesPy suitable for both average and expert Bayesian users...
  • FABIA

  • Referenced in 7 articles [sw23382]
  • well understood model selection techniques like variational approaches and applies the Bayesian framework. The generative ... known, biological verfified subclusters and performed on average best out of 11 biclustering approaches. Please...
  • CMfinder

  • Referenced in 6 articles [sw17265]
  • expectation maximization algorithm using covariance models for motif description, featuring novel integration of multiple techniques ... effective search of motif space, and a Bayesian framework that blends mutual information-based ... large indels, our method demonstrates excellent average per-base-pair accuracy—79% compared with ... alternative methods. More importantly, the resulting probabilistic model can be directly used for homology search...
  • Rgbp

  • Referenced in 2 articles [sw18040]
  • models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian ... average or a proportion of each group, without population-level data. The approximate Bayesian tool ... produces approximate point and interval estimates for model parameters including second-level variance component, regression...
  • MTS

  • Referenced in 4 articles [sw15485]
  • average volatility, Cholesky decomposition volatility models, dynamic conditional correlation (DCC) models, copula-based volatility models ... dimensional BEKK models. The package also considers multiple tests for conditional heteroscedasticity, including rank-based ... forecasting using diffusion index, transfer function analysis, Bayesian estimation of VAR models, and multivariate time...