Add to ORKGDescription The BayesFactor package is a suite of functions for computing various Bayes fac-tors for simple designs, including the one- and two-sample designs, one-way designs, gen-eral ANOVA designs, and linear regression. License GPL-2 VignetteBuilder knitr Depends R (> = 3.0.0), coda, method
Initial beta release. Working code, added documentaiton, tested against published numbers and R pack...
A workshop providing an introduction to Bayesian data analysis and hypothesis testing using R, Jags ...
Description This package provides the bayesGARCH function which performs the Bayesian estimation of ...
BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlin-ear optimi...
Minor bugfixes in the main Bayes factor package Several additions to the included linear mixed effe...
R topics documented: lestat-package........................................ 3 anovatable...............
BayesPy is an open-source Python software package for performing variational Bayesian inference. It ...
Added the option to compute with log(probabilities) - necessary for large data sets where the produc...
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows r...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
Description This package performs model selection based on non-local priors, includ-ing MOM, eMOM an...
CHANGES IN BayesFactor VERSION 0.9.12-2 CHANGES Added feature allowing fine-tuning of priors on a...
The naïve Bayes classifier is a simple form of Bayesian classifiers which assumes all the features a...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
Initial beta release. Working code, added documentaiton, tested against published numbers and R pack...
A workshop providing an introduction to Bayesian data analysis and hypothesis testing using R, Jags ...
Description This package provides the bayesGARCH function which performs the Bayesian estimation of ...
BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlin-ear optimi...
Minor bugfixes in the main Bayes factor package Several additions to the included linear mixed effe...
R topics documented: lestat-package........................................ 3 anovatable...............
BayesPy is an open-source Python software package for performing variational Bayesian inference. It ...
Added the option to compute with log(probabilities) - necessary for large data sets where the produc...
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows r...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
Description This package performs model selection based on non-local priors, includ-ing MOM, eMOM an...
CHANGES IN BayesFactor VERSION 0.9.12-2 CHANGES Added feature allowing fine-tuning of priors on a...
The naïve Bayes classifier is a simple form of Bayesian classifiers which assumes all the features a...
BayesicFitting is a PYTHON toolbox for (Bayesian) data modelling and evidence calculation. It consis...
Initial beta release. Working code, added documentaiton, tested against published numbers and R pack...
A workshop providing an introduction to Bayesian data analysis and hypothesis testing using R, Jags ...
Description This package provides the bayesGARCH function which performs the Bayesian estimation of ...