Learn R Programming
⚠️There's a newer version (2.22.0) of this package.Take me there.

brms (version 0.3.0)

Bayesian Regression Models using Stan

Description

Fit Bayesian generalized linear mixed models using Stan for full Bayesian inference.

Copy Link

Version

Install

install.packages('brms')

Monthly Downloads

29,849

Version

0.3.0

License

GPL (>= 2)

Issues

121

Pull Requests

4

Stars

1,316

Forks

194

Maintainer

PaulChristian Buerkner

Last Published

June 29th, 2015

Functions in brms (0.3.0)

brms-package

Bayesian Regression Models using Stan
print.brmsfit

Print a summary for a fitted model represented by a brmsfit object
brm

Fit Bayesian Generalized Linear and Ordinal Mixed Models
cor.arma

ARMA(p,q) correlation structure
brm.data

Extract required data for brms models
summary.brmsfit

Create a summary of a fitted model represented by a brmsfit object
epilepsy

Epileptic seizure counts
inhaler

Clarity of inhaler instructions
par.names

Extract parameter names
cor.ma

MA(q) correlation structure
VarCorr

Extract random effects covariance and correlation components
cor.ar

AR(p) correlation structure
brmsfit-class

Class brmsfit of fitted mixed-effect models
brm.plot

Trace and density plots for MCMC samples (deprecated)
hypothesis

Non-linear hypothesis testing
fixef

Extract Fixed Effects for brmsfit objects
posterior.samples

Extract posterior samples
brm.pars

Parameters of interest for brms models
ngrps

Number of levels
kidney

Infections in kidney patients
plot.brmsfit

Trace and density plots for MCMC samples
cor.brms

Correlation structure classes
ranef

Extract Random Effects for brmsfit objects