brms: Bayesian Regression Models using Stan

Stanを利用した回帰分析モデル

> library(brms)

Loading required package: rstan
rstan (Version 2.8.1, packaged: 2015-11-18 17:18:35 UTC, GitRev: 05c3d0058b6a)
For execution on a local, multicore CPU with excess RAM we recommend calling
rstan_options(auto_write = TRUE)
options(mc.cores = parallel::detectCores())

Attaching package: 'rstan'

The following object is masked from 'package:magrittr':

    extract

Loading 'brms' package (version 0.6.0). Useful instructions 
can be found by typing help('brms'). A more detailed introduction 
to the package is available through vignette('brms').

Attaching package: 'brms'

The following objects are masked from 'package:lme4':

    fixef, ngrps, ranef, VarCorr

バージョン: 0.6.0

関数名 概略
LOO.brmsfit Compute LOO
VarCorr Extract variance and correlation components
WAIC Compute the WAIC
brm Fit Bayesian Generalized Linear and Ordinal Mixed Models
brms-package Bayesian Regression Models using Stan
brmsfamily Special Family Functions for 'brms' Models
brmsfit-class Class 'brmsfit' of fitted mixed-effect models
cor_ar AR(p) correlation structure
cor_arma ARMA(p,q) correlation structure
cor_arr ARR(r) correlation structure
cor_brms Correlation structure classes
cor_ma MA(q) correlation structure
epilepsy Epileptic seizure counts
fitted.brmsfit Extract Model Fitted Values of 'brmsfit' Objects
fixef Extract Fixed Effects Estimates
get_prior Overview on Priors for 'brms' Models
hypothesis Non-linear hypothesis testing
inhaler Clarity of inhaler instructions
kidney Infections in kidney patients
launch_shiny Interface to 'shinystan'
logLik.brmsfit Compute the pointwise log-likelihood
macf Autocorrelation Function Estimation based on MCMC-Samples (experimental)
make_stancode Stan Code for 'brms' Models
make_standata Data for 'brms' Models
ngrps Number of levels
parnames Extract Parameter Names
plot.brmsfit Trace and Density Plots for MCMC Samples
posterior_samples Extract posterior samples
predict.brmsfit Model Predictions of 'brmsfit' Objects
print.brmsfit Print a summary for a fitted model represented by a 'brmsfit' object
prior_samples Extract prior samples
ranef Extract Random Effects for 'brmsfit' objects
residuals.brmsfit Extract Model Residuals from brmsfit Objects
set_prior Prior Definitions for 'brms' Models
stancode Extract Stan Model Code
standata Extract Data passed to Stan
stanplot.brmsfit Various Plotting Functions implemented in 'rstan'
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 Fixed Effects