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 class 'brmsfit'
report(x, ...)
Value
An object of class report()
.
See also
Specific components of reports (especially for stats models):
Other types of reports:
Methods:
Template file for supporting new models:
Examples
# \donttest{
# Bayesian models
library(brms)
model <- suppressWarnings(brm(mpg ~ qsec + wt, data = mtcars, refresh = 0, iter = 300))
#> Compiling Stan program...
#> Error in .fun(model_code = .x1): Eigen not found; call install.packages('RcppEigen')
r <- report(model, verbose = FALSE)
#> Error in eval(expr, envir, enclos): object 'model' not found
r
#> Error in eval(expr, envir, enclos): object 'r' not found
summary(r)
#> Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'r' not found
as.data.frame(r)
#> Error in eval(expr, envir, enclos): object 'r' not found
summary(as.data.frame(r))
#> Error in h(simpleError(msg, call)): error in evaluating the argument 'object' in selecting a method for function 'summary': object 'r' not found
# }