report (version 0.6.0)

report.brmsfit: Reporting Bayesian Models from brms

Description

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, ...)

Value

An object of class report().

Arguments

x

Object of class lm or glm.

...

Arguments passed to or from other methods.

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

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