SSVS (version 2.1.0)

summary.ssvs_mi: Calculate Summary Statistics for SSVS-MI Results

Description

Computes summary statistics (average, minimum, and maximum) for beta coefficients, MIP and average nonzero beta coefficients from an SSVS result object.

Usage

# S3 method for ssvs_mi
summary(object, ...)

Value

A data frame with results

Arguments

object

An ssvs_mi result object obtained from ssvs_mi()

...

Ignored

Examples

# \donttest{
data(imputed_mtcars)
outcome <- 'qsec'
predictors <- c('cyl', 'disp', 'hp', 'drat', 'wt', 'vs', 'am', 'gear', 'carb','mpg')
imputation <- '.imp'
results <- ssvs_mi(data = imputed_mtcars, y = outcome, x = predictors, imp = imputation)
summary_MI<-summary(results)
print(summary_MI)
# }