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brms (version 0.4.1)
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
21,748
Version
0.4.1
License
GPL (>= 3)
Issues
104
Pull Requests
7
Stars
1,230
Forks
176
Repository
http://github.com/paul-buerkner/brms
Maintainer
PaulChristian Buerkner
Last Published
August 2nd, 2015
Functions in brms (0.4.1)
Search functions
brms-package
Bayesian Regression Models using Stan
VarCorr
Extract variance and correlation components
cor.arma
ARMA(p,q) correlation structure
cor.ar
AR(p) correlation structure
brmsfit-class
Class
brmsfit
of fitted mixed-effect models
inhaler
Clarity of inhaler instructions
print.brmsfit
Print a summary for a fitted model represented by a
brmsfit
object
plot.brmsfit
Trace and density plots for MCMC samples
WAIC
Compute the WAIC
summary.brmsfit
Create a summary of a fitted model represented by a
brmsfit
object
brm.pars
Parameters of interest for
brms
models (depricated)
cor.ma
MA(q) correlation structure
posterior.samples
Extract posterior samples
ranef
Extract Random Effects for
brmsfit
objects
hypothesis
Non-linear hypothesis testing
brm.data
Extract required data for
brms
models
brm
Fit Bayesian Generalized Linear and Ordinal Mixed Models
fixef
Extract Fixed Effects for
brmsfit
objects
epilepsy
Epileptic seizure counts
kidney
Infections in kidney patients
ngrps
Number of levels
cor.brms
Correlation structure classes
par.names
Extract parameter names