# Bayesian Regression Models using Stan

## Documentation for package ‘brms’ version 1.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C E F G H I K L M N P R S U V W Z

brms-package | Bayesian Regression Models using Stan

## -- A --

acat | Special Family Functions for 'brms' Models
as.data.frame.brmsfit | Extract posterior samples
as.data.frame.brmsVarCorr | Extract variance and correlation components
as.matrix.brmsfit | Extract posterior samples
as.mcmc | Extract posterior samples for use with the 'coda' package
as.mcmc.brmsfit | Extract posterior samples for use with the 'coda' package

## -- B --

bernoulli | Special Family Functions for 'brms' Models
Beta | Special Family Functions for 'brms' Models
bf | Set up a model formula for use in the 'brms' package
brm | Fit Bayesian Generalized (Non-)Linear Multilevel Models
brmdata | Data for 'brms' Models
brms | Bayesian Regression Models using Stan
brmsfamily | Special Family Functions for 'brms' Models
brmsfit | Class 'brmsfit' of models fitted with the 'brms' package
brmsfit-class | Class 'brmsfit' of models fitted with the 'brms' package
brmsformula | Set up a model formula for use in the 'brms' package

## -- C --

categorical | Special Family Functions for 'brms' Models
coef.brmsfit | Extract model coefficients
cor.ar | AR(p) correlation structure
cor.arma | ARMA(p,q) correlation structure
cor.ma | MA(q) correlation structure
cor_ar | AR(p) correlation structure
cor_arma | ARMA(p,q) correlation structure
cor_arr | ARR(r) correlation structure
cor_brms | Correlation structure classes for the 'brms' package
cor_brms-class | Correlation structure classes for the 'brms' package
cor_bsts | Basic Bayesian Structural Time Series
cor_bsts-class | Basic Bayesian Structural Time Series
cor_fixed | Fixed user-defined covariance matrices
cor_ma | MA(q) correlation structure
cov_fixed | Fixed user-defined covariance matrices
cratio | Special Family Functions for 'brms' Models
cumulative | Special Family Functions for 'brms' Models

## -- E --

epilepsy | Epileptic seizure counts
exponential | Special Family Functions for 'brms' Models
expose_functions | Expose user-defined 'Stan' functions
expose_functions.brmsfit | Expose user-defined 'Stan' functions

## -- F --

fitted.brmsfit | Extract Model Fitted Values of 'brmsfit' Objects
fixef | Extract Population-Level Estimates
fixef.brmsfit | Extract Population-Level Estimates

## -- G --

geometric | Special Family Functions for 'brms' Models
get_prior | Overview on Priors for 'brms' Models

## -- H --

hurdle_gamma | Special Family Functions for 'brms' Models
hurdle_lognormal | Special Family Functions for 'brms' Models
hurdle_negbinomial | Special Family Functions for 'brms' Models
hurdle_poisson | Special Family Functions for 'brms' Models
hypothesis | Non-linear hypothesis testing
hypothesis.brmsfit | Non-linear hypothesis testing

## -- I --

inhaler | Clarity of inhaler instructions

## -- K --

kidney | Infections in kidney patients

## -- L --

launch_shiny | Interface to 'shinystan'
launch_shiny.brmsfit | Interface to 'shinystan'
logLik.brmsfit | Compute the Pointwise Log-Likelihood
lognormal | Special Family Functions for 'brms' Models
log_lik | Compute the Pointwise Log-Likelihood
log_lik.brmsfit | Compute the Pointwise Log-Likelihood
LOO | Compute the LOO information criterion
loo | Compute the LOO information criterion
LOO.brmsfit | Compute the LOO information criterion
loo.brmsfit | Compute the LOO information criterion

## -- M --

make_stancode | Stan Code for 'brms' Models
make_standata | Data for 'brms' Models
marginal_effects | Display marginal effects of predictors
marginal_effects.brmsfit | Display marginal effects of predictors
marginal_smooths | Display Smooth Terms
marginal_smooths.brmsfit | Display Smooth Terms

## -- N --

negbinomial | Special Family Functions for 'brms' Models
ngrps | Number of levels
ngrps.brmsfit | Number of levels

## -- P --

pairs.brmsfit | Create a matrix of output plots from a 'brmsfit' object
par.names | Extract Parameter Names
par.names.brmsfit | Extract Parameter Names
parnames | Extract Parameter Names
parnames.brmsfit | Extract Parameter Names
plot.brmsfit | Trace and Density Plots for MCMC Samples
plot.brmshypothesis | Non-linear hypothesis testing
plot.brmsMarginalEffects | Display marginal effects of predictors
posterior.samples | Extract posterior samples
posterior.samples.brmsfit | Extract posterior samples
posterior_predict | Model Predictions of 'brmsfit' Objects
posterior_predict.brmsfit | Model Predictions of 'brmsfit' Objects
posterior_samples | Extract posterior samples
posterior_samples.brmsfit | Extract posterior samples
pp_check | Posterior Predictive Checks for 'brmsfit' Objects
pp_check.brmsfit | Posterior Predictive Checks for 'brmsfit' Objects
predict.brmsfit | Model Predictions of 'brmsfit' Objects
predictive_error | Extract Model Residuals from brmsfit Objects
predictive_error.brmsfit | Extract Model Residuals from brmsfit Objects
print.brmsfit | Print a summary for a fitted model represented by a 'brmsfit' object
print.brmshypothesis | Non-linear hypothesis testing
print.brmsprior | Print method for 'brmsprior' objects
print.brmssummary | Print a summary for a fitted model represented by a 'brmsfit' object
prior | Prior Definitions for 'brms' Models
prior_samples | Extract prior samples
prior_samples.brmsfit | Extract prior samples
prior_string | Prior Definitions for 'brms' Models
prior_summary | Extract Priors of a Bayesian Model Fitted with 'brms'
prior_summary.brmsfit | Extract Priors of a Bayesian Model Fitted with 'brms'

## -- R --

ranef | Extract Group-Level Estimates
ranef.brmsfit | Extract Group-Level Estimates
residuals.brmsfit | Extract Model Residuals from brmsfit Objects

## -- S --

set_prior | Prior Definitions for 'brms' Models
sratio | Special Family Functions for 'brms' Models
stancode | Extract Stan Model Code
stancode.brmsfit | Extract Stan Model Code
standata | Extract Data passed to Stan
standata.brmsfit | Extract Data passed to Stan
stanplot | Various Plotting Functions implemented in 'rstan'
stanplot.brmsfit | Various Plotting Functions implemented in 'rstan'
student | Special Family Functions for 'brms' Models
summary.brmsfit | Create a summary of a fitted model represented by a 'brmsfit' object

## -- U --

update.brmsfit | Update 'brms' models

## -- V --

VarCorr | Extract variance and correlation components
VarCorr.brmsfit | Extract variance and correlation components
vcov.brmsfit | Covariance and Correlation Matrix of Population-Level Effects
von_mises | Special Family Functions for 'brms' Models

## -- W --

WAIC | Compute the WAIC
waic | Compute the WAIC
WAIC.brmsfit | Compute the WAIC
waic.brmsfit | Compute the WAIC
weibull | Special Family Functions for 'brms' Models

## -- Z --

zero_inflated_beta | Special Family Functions for 'brms' Models
zero_inflated_binomial | Special Family Functions for 'brms' Models
zero_inflated_negbinomial | Special Family Functions for 'brms' Models
zero_inflated_poisson | Special Family Functions for 'brms' Models