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brms (version 0.5.0)

Bayesian Regression Models using Stan

Description

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

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Version

Install

install.packages('brms')

Monthly Downloads

29,849

Version

0.5.0

License

GPL (>= 3)

Issues

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Maintainer

PaulChristian Buerkner

Last Published

September 13th, 2015

Functions in brms (0.5.0)

stancode

Extract Stan Model Code
standata

Extract Data passed to Stan
epilepsy

Epileptic seizure counts
cor_ma

MA(q) correlation structure
brm

Fit Bayesian Generalized Linear and Ordinal Mixed Models
prior_samples

Extract prior samples
parnames

Extract Parameter Names
macf

Autocorrelation Function Estimation based on MCMC-Samples (experimental)
plot.brmsfit

Trace and density plots for MCMC samples
print.brmsfit

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

Parameters of interest for brms models (deprecated)
predict.brmsfit

Model Predictions of brmsfit Objects
get_prior

Overview on Priors for brms Models
set_prior

Prior Deinitions for brms Models
logLik.brmsfit

Compute the pointwise log-likelihood
summary.brmsfit

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

Extract Fixed Effects Estimates
LOO

Compute LOO
inhaler

Clarity of inhaler instructions
WAIC

Compute the WAIC
ranef

Extract Random Effects for brmsfit objects
cor_arma

ARMA(p,q) correlation structure
vcov.brmsfit

Covariance and Correlation Matrix of Fixed Effects
brmdata

Extract required data for brms models
kidney

Infections in kidney patients
brmsfit-class

Class brmsfit of fitted mixed-effect models
brms-package

Bayesian Regression Models using Stan
cor_ar

AR(p) correlation structure
residuals.brmsfit

Extract Model Residuals from brmsfit Objects
ngrps

Number of levels
VarCorr

Extract variance and correlation components
cor_brms

Correlation structure classes
posterior_samples

Extract posterior samples
hypothesis

Non-linear hypothesis testing
launch_shiny

Interface to shinystan
fitted.brmsfit

Extract Model Fitted Values of brmsfit Objects