# Bayesian Regression Models using Stan

## Documentation for package ‘brms’ version 1.6.1

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

## Help Pages

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

brms-package | Bayesian Regression Models using Stan

## -- A --

acat | Special Family Functions for 'brms' Models
addition-terms | Additional Response Information
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
AsymLaplace | The Asymmetric Laplace Distribution
asym_laplace | Special Family Functions for 'brms' Models

## -- B --

bernoulli | Special Family Functions for 'brms' Models
Beta | Special Family Functions for 'brms' Models
bf | Set up a model formula for use in 'brms'
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 'brms'

## -- C --

categorical | Special Family Functions for 'brms' Models
coef.brmsfit | Extract model coefficients
compare_ic | Compare Information Criteria of Different Models
control_params | Extract Control Parameters of the NUTS Sampler
control_params.brmsfit | Extract Control Parameters of the NUTS Sampler
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
cs | Category Specific Predictors in 'brms' Models
cse | Category Specific Predictors in 'brms' Models
cumulative | Special Family Functions for 'brms' Models

## -- D --

dasym_laplace | The Asymmetric Laplace Distribution
dexgaussian | The Exponentially Modified Gaussian Distribution
dfrechet | The Frechet Distribution
dgen_extreme_value | The Generalized Extreme Value Distribution
diagnostic-quantities | Extract Diagnostic Quantities of 'brms' Models
dinv_gaussian | The Inverse Gaussian Distribution
dmulti_normal | The Multivariate Normal Distribution
dmulti_student_t | The Multivariate Student-t Distribution
dstudent_t | The Student-t Distribution
dvon_mises | The von Mises Distribution
dwiener | The Wiener Diffusion Model Distribution

## -- E --

epilepsy | Epileptic seizure counts
ExGaussian | The Exponentially Modified Gaussian Distribution
exgaussian | Special Family Functions for 'brms' Models
exponential | Special Family Functions for 'brms' Models
expose_functions | Expose user-defined 'Stan' functions
expose_functions.brmsfit | Expose user-defined 'Stan' functions
expp1 | Exponential function plus one.

## -- F --

fitted.brmsfit | Extract Model Fitted Values of 'brmsfit' Objects
fixef | Extract Population-Level Estimates
fixef.brmsfit | Extract Population-Level Estimates
Frechet | The Frechet Distribution
frechet | Special Family Functions for 'brms' Models

## -- G --

GenExtremeValue | The Generalized Extreme Value Distribution
gen_extreme_value | Special Family Functions for 'brms' Models
geometric | Special Family Functions for 'brms' Models
get_prior | Overview on Priors for 'brms' Models
gr | Set up basic grouping terms in 'brms'

## -- H --

horseshoe | Set up a horseshoe prior in 'brms'
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
InvGaussian | The Inverse Gaussian Distribution
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_arma | Check if argument is a correlation structure
is.cor_brms | Check if argument is a correlation structure
is.cor_bsts | Check if argument is a correlation structure
is.cor_fixed | Check if argument is a correlation structure

## -- K --

kidney | Infections in kidney patients

## -- L --

lasso | Set up a lasso prior in 'brms'
launch_shiny | Interface to 'shinystan'
launch_shiny.brmsfit | Interface to 'shinystan'
logit_scaled | Scaled logit-link
logLik.brmsfit | Compute the Pointwise Log-Likelihood
logm1 | Logarithm with a minus one offset.
lognormal | Special Family Functions for 'brms' Models
log_lik | Compute the Pointwise Log-Likelihood
log_lik.brmsfit | Compute the Pointwise Log-Likelihood
log_posterior | Extract Diagnostic Quantities of 'brms' Models
log_posterior.brmsfit | Extract Diagnostic Quantities of 'brms' Models
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
loo_linpred | Compute Weighted Expectations Using LOO
loo_linpred.brmsfit | Compute Weighted Expectations Using LOO
loo_predict | Compute Weighted Expectations Using LOO
loo_predict.brmsfit | Compute Weighted Expectations Using LOO
loo_predictive_interval | Compute Weighted Expectations Using LOO
loo_predictive_interval.brmsfit | Compute Weighted Expectations Using LOO

## -- 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
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
mono | Monotonic Predictors in 'brms' Models
monotonic | Monotonic Predictors in 'brms' Models
MultiNormal | The Multivariate Normal Distribution
MultiStudentT | The Multivariate Student-t Distribution

## -- N --

neff_ratio | Extract Diagnostic Quantities of 'brms' Models
neff_ratio.brmsfit | Extract Diagnostic Quantities of 'brms' Models
negbinomial | Special Family Functions for 'brms' Models
ngrps | Number of levels
ngrps.brmsfit | Number of levels
nsamples | Number of Posterior Samples
nsamples.brmsfit | Number of Posterior Samples
nuts_params | Extract Diagnostic Quantities of 'brms' Models
nuts_params.brmsfit | Extract Diagnostic Quantities of 'brms' Models

## -- 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
parse_bf | Parse Formulas of 'brms' Models
pasym_laplace | The Asymmetric Laplace Distribution
pexgaussian | The Exponentially Modified Gaussian Distribution
pfrechet | The Frechet Distribution
pgen_extreme_value | The Generalized Extreme Value Distribution
pinv_gaussian | The Inverse Gaussian Distribution
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
pp_mixture | Posterior Probabilities of Mixture Component Memberships
pp_mixture.brmsfit | Posterior Probabilities of Mixture Component Memberships
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_ | 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'
pstudent_t | The Student-t Distribution
pvon_mises | The von Mises Distribution

## -- Q --

qasym_laplace | The Asymmetric Laplace Distribution
qfrechet | The Frechet Distribution
qstudent_t | The Student-t Distribution

## -- R --

ranef | Extract Group-Level Estimates
ranef.brmsfit | Extract Group-Level Estimates
rasym_laplace | The Asymmetric Laplace Distribution
residuals.brmsfit | Extract Model Residuals from brmsfit Objects
resp_cat | Additional Response Information
resp_cens | Additional Response Information
resp_dec | Additional Response Information
resp_disp | Additional Response Information
resp_se | Additional Response Information
resp_trials | Additional Response Information
resp_trunc | Additional Response Information
resp_weights | Additional Response Information
restructure | Retructure Old 'brmsfit' Objects
rexgaussian | The Exponentially Modified Gaussian Distribution
rfrechet | The Frechet Distribution
rgen_extreme_value | The Generalized Extreme Value Distribution
rhat | Extract Diagnostic Quantities of 'brms' Models
rhat.brmsfit | Extract Diagnostic Quantities of 'brms' Models
rinv_gaussian | The Inverse Gaussian Distribution
rmulti_normal | The Multivariate Normal Distribution
rmulti_student_t | The Multivariate Student-t Distribution
rstudent_t | The Student-t Distribution
rvon_mises | The von Mises Distribution
rwiener | The Wiener Diffusion Model Distribution

## -- 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 | MCMC Plots Implemented in 'bayesplot'
stanplot.brmsfit | MCMC Plots Implemented in 'bayesplot'
student | Special Family Functions for 'brms' Models
StudentT | The Student-t Distribution
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
VonMises | The von Mises Distribution
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
Wiener | The Wiener Diffusion Model Distribution
wiener | 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
zero_one_inflated_beta | Special Family Functions for 'brms' Models