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

In sabainter/SSVS: Functions for Stochastic Search Variable Selection (SSVS)

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 class 'ssvs_mi'
summary(object, ...)

Arguments

object	An ssvs_mi result object obtained from ssvs_mi()
...	Ignored

Value

A data frame with results

Examples

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)

sabainter/SSVS documentation built on April 17, 2025, 12:48 p.m.