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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 |
| 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 |
| 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' |
| 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 |
| 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 |
| 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. |
| 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 |
| 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' |
| 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 |
| 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 |
| kidney | Infections in kidney patients |
| 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 |
| 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 |
| 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 |
| 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 |
| qasym_laplace | The Asymmetric Laplace Distribution |
| qfrechet | The Frechet Distribution |
| qstudent_t | The Student-t Distribution |
| 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 |
| 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 |
| update.brmsfit | Update 'brms' models |
| 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 |
| 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 |
| 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 |