title

brms: An R Package for Bayesian Multilevel Models Using Stan | Journal of Statistical Software

og:title

brms: An R Package for Bayesian Multilevel Models Using Stan by Paul-Christian Bürkner

og:description

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial, Poisson, survival, ordinal, zero-inflated, hurdle, and even non-linear models all in a multilevel context. Further modeling options include autocorrelation of the response variable, user defined covariance structures, censored data, as well as meta-analytic standard errors. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. In addition, model fit can easily be assessed and compared with the Watanabe-Akaike information criterion and leave-one-out cross-validation.

og:image

https://www.jstatsoft.org/plugins/themes/bootstrap3JSS/images/jsslogo.jpg

og:type

website

twitter:card

summary

twitter:site

@jstatsoft

alternate

https://www.jstatsoft.org/index.php/jss/gateway/plugin/WebFeedGatewayPlugin/atom

alternate

https://www.jstatsoft.org/index.php/jss/gateway/plugin/WebFeedGatewayPlugin/rss

alternate

https://www.jstatsoft.org/index.php/jss/gateway/plugin/WebFeedGatewayPlugin/rss2

apple-touch-icon

/plugins/themes/bootstrap3JSS/favicon/apple-icon-57x57.png

apple-touch-icon

/plugins/themes/bootstrap3JSS/favicon/apple-icon-60x60.png