AsymLaplace             The Asymmetric Laplace Distribution
ExGaussian              The Exponentially Modified Gaussian
                        Distribution
Frechet                 The Frechet Distribution
GenExtremeValue         The Generalized Extreme Value Distribution
InvGaussian             The Inverse Gaussian Distribution
LOO.brmsfit             Compute the LOO information criterion
MultiNormal             The Multivariate Normal Distribution
MultiStudentT           The Multivariate Student-t Distribution
StudentT                The Student-t Distribution
VarCorr.brmsfit         Extract variance and correlation components
VonMises                The von Mises Distribution
WAIC.brmsfit            Compute the WAIC
Wiener                  The Wiener Diffusion Model Distribution
addition-terms          Additional Response Information
as.mcmc.brmsfit         Extract posterior samples for use with the
                        'coda' package
brm                     Fit Bayesian Generalized (Non-)Linear
                        Multilevel Models
brms-package            Bayesian Regression Models using Stan
brmsfamily              Special Family Functions for 'brms' Models
brmsfit-class           Class 'brmsfit' of models fitted with the
                        'brms' package
brmsformula             Set up a model formula for use in 'brms'
coef.brmsfit            Extract model coefficients
compare_ic              Compare Information Criteria of Different
                        Models
control_params.brmsfit
                        Extract Control Parameters of the NUTS Sampler
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_bsts                Basic Bayesian Structural Time Series
cor_fixed               Fixed user-defined covariance matrices
cor_ma                  MA(q) correlation structure
cs                      Category Specific Predictors in 'brms' Models
epilepsy                Epileptic seizure counts
expose_functions.brmsfit
                        Expose user-defined 'Stan' functions
expp1                   Exponential function plus one.
fitted.brmsfit          Extract Model Fitted Values of 'brmsfit'
                        Objects
fixef.brmsfit           Extract Population-Level Estimates
get_prior               Overview on Priors for 'brms' Models
gr                      Set up basic grouping terms in 'brms'
horseshoe               Set up a horseshoe prior in 'brms'
hypothesis.brmsfit      Non-linear hypothesis testing
inhaler                 Clarity of inhaler instructions
inv_logit_scaled        Scaled inverse logit-link
is.brmsfit              Checks if argument is a 'brmsfit' object
is.brmsformula          Checks if argument is a 'brmsformula' object
is.brmsprior            Checks if argument is a 'brmsprior' object
is.brmsterms            Checks if argument is a 'brmsterms' object
is.cor_brms             Check if argument is a correlation structure
kidney                  Infections in kidney patients
lasso                   Set up a lasso prior in 'brms'
launch_shiny            Interface to 'shinystan'
log_lik.brmsfit         Compute the Pointwise Log-Likelihood
log_posterior.brmsfit   Extract Diagnostic Quantities of 'brms' Models
logit_scaled            Scaled logit-link
logm1                   Logarithm with a minus one offset.
loo_predict.brmsfit     Compute Weighted Expectations Using LOO
make_stancode           Stan Code for 'brms' Models
make_standata           Data for 'brms' Models
marginal_effects.brmsfit
                        Display marginal effects of predictors
marginal_smooths.brmsfit
                        Display Smooth Terms
me                      Predictors with Measurement Error in 'brms'
                        Models
mixture                 Finite Mixture Families in 'brms'
mm                      Set up multi-membership grouping terms in
                        'brms'
mo                      Monotonic Predictors in 'brms' Models
ngrps.brmsfit           Number of levels
nsamples.brmsfit        Number of Posterior Samples
pairs.brmsfit           Create a matrix of output plots from a
                        'brmsfit' object
parnames                Extract Parameter Names
parse_bf                Parse Formulas of 'brms' Models
plot.brmsfit            Trace and Density Plots for MCMC Samples
posterior_samples.brmsfit
                        Extract posterior samples
pp_check.brmsfit        Posterior Predictive Checks for 'brmsfit'
                        Objects
pp_mixture.brmsfit      Posterior Probabilities of Mixture Component
                        Memberships
predict.brmsfit         Model Predictions of 'brmsfit' Objects
print.brmsfit           Print a summary for a fitted model represented
                        by a 'brmsfit' object
print.brmsprior         Print method for 'brmsprior' objects
prior_samples.brmsfit   Extract prior samples
prior_summary.brmsfit   Extract Priors of a Bayesian Model Fitted with
                        'brms'
ranef.brmsfit           Extract Group-Level Estimates
residuals.brmsfit       Extract Model Residuals from brmsfit Objects
restructure             Retructure Old 'brmsfit' Objects
set_prior               Prior Definitions for 'brms' Models
stancode                Extract Stan Model Code
standata                Extract Data passed to Stan
stanplot.brmsfit        MCMC Plots Implemented in 'bayesplot'
summary.brmsfit         Create a summary of a fitted model represented
                        by a 'brmsfit' object
update.brmsfit          Update 'brms' models
vcov.brmsfit            Covariance and Correlation Matrix of
                        Population-Level Effects
