Reporting Bayesian Models from brms

Create reports for Bayesian models. The description of the parameters follows the Sequential Effect eXistence and sIgnificance Testing framework (see SEXIT documentation).

Usage

# S3 method for brmsfit
report(x, ...)

Arguments

x

Object of class lm or glm.

...

Arguments passed to or from other methods.

Value

An object of class report().

See also

Specific components of reports (especially for stats models):

• report_table()

• report_parameters()

• report_statistics()

• report_effectsize()

• report_model()

• report_priors()

• report_random()

• report_performance()

• report_info()

• report_text()

Other types of reports:

• report_system()

• report_packages()

• report_participants()

• report_sample()

• report_date()

Methods:

• as.report()

Template file for supporting new models:

• report.default()

Examples

library(report)

# Bayesian models
if (FALSE) {
if (require("brms")) {
  model <- brm(mpg ~ qsec + wt, data = mtcars, refresh = 0, iter = 300)
  r <- report(model)
  r
  summary(r)
  as.data.frame(r)
  summary(as.data.frame(r))
}
}