Prints a summary of an analysis object from analyse_mi_data().
Usage
# S3 method for class 'analysis'
print(x, ...)Examples
# \donttest{
library(rbmi)
library(rbmiUtils)
data("ADMI")
# Create analysis object
vars <- set_vars(
subjid = "USUBJID", visit = "AVISIT", group = "TRT",
outcome = "CHG", covariates = c("BASE", "STRATA")
)
method <- method_bayes(n_samples = 10, control = control_bayes(warmup = 10))
ana_obj <- analyse_mi_data(ADMI, vars, method, fun = function(d, v, ...) 1)
#> Warning: Data contains 100 imputations but method expects 10. Using first 10 imputations.
print(ana_obj)
#> Analysis object from rbmiUtils
#> -------------------------------
#> Number of imputations: 10
#> Analysis function: <Anonymous Function>
#> Delta adjustment: No
#> Method type: bayes
#> Pooling method: rubin
#>
#> Use `rbmi::pool()` to obtain pooled estimates.
# }