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brms (version 0.4.0)
Bayesian Regression Models using Stan
Description
Fit Bayesian generalized linear mixed models using Stan for full Bayesian inference.
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Install
install.packages('brms')
Monthly Downloads
29,849
Version
0.4.0
License
GPL (>= 3)
Issues
117
Pull Requests
3
Stars
1,316
Forks
194
Repository
http://github.com/paul-buerkner/brms
Maintainer
PaulChristian Buerkner
Last Published
July 23rd, 2015
Functions in brms (0.4.0)
Search all functions
plot.brmsfit
Trace and density plots for MCMC samples
cor.brms
Correlation structure classes
cor.ma
MA(q) correlation structure
brms-package
Bayesian Regression Models using Stan
hypothesis
Non-linear hypothesis testing
cor.arma
ARMA(p,q) correlation structure
summary.brmsfit
Create a summary of a fitted model represented by a
brmsfit
object
inhaler
Clarity of inhaler instructions
ranef
Extract Random Effects for
brmsfit
objects
brmsfit-class
Class
brmsfit
of fitted mixed-effect models
cor.ar
AR(p) correlation structure
epilepsy
Epileptic seizure counts
par.names
Extract parameter names
brm
Fit Bayesian Generalized Linear and Ordinal Mixed Models
print.brmsfit
Print a summary for a fitted model represented by a
brmsfit
object
ngrps
Number of levels
brm.data
Extract required data for
brms
models
brm.pars
Parameters of interest for
brms
models
VarCorr
Extract variance and correlation components
WAIC
Compute the WAIC
kidney
Infections in kidney patients
fixef
Extract Fixed Effects for
brmsfit
objects
posterior.samples
Extract posterior samples