summary.mc: Summary Method for an Object of Class 'mc'

In betaMC: Monte Carlo for Regression Effect Sizes

Summary Method for an Object of Class mc

Description

Summary Method for an Object of Class mc

Usage

## S3 method for class 'mc'
summary(object, digits = 4, ...)

Arguments

object	Object of Class mc, that is, the output of the MC() function.
digits	Digits to print.
...	additional arguments.

Value

Returns a list with the following elements:

mean

Mean of the sampling distribution of \boldsymbol{\hat{\theta}}.

var

Variance of the sampling distribution of \boldsymbol{\hat{\theta}}.

bias

Monte Carlo simulation bias.

rmse

Monte Carlo simulation root mean square error.

location

Location parameter used in the Monte Carlo simulation.

scale

Scale parameter used in the Monte Carlo simulation.

Author(s)

Ivan Jacob Agaloos Pesigan

Examples

# Fit the regression model
object <- lm(QUALITY ~ NARTIC + PCTGRT + PCTSUPP, data = nas1982)
mc <- MC(object, R = 100)
summary(mc)

betaMC documentation built on June 24, 2024, 9:08 a.m.