empirical_mu_one_sample: Test the mean parameter of an unknown distribution.

In gmcmacran/MLTesteR: Likelihood Ratio Tests and Confidence Intervals

Test the mean parameter of an unknown distribution.

Description

Test the mean parameter of an unknown distribution.

Usage

empirical_mu_one_sample(x, mu, alternative = "two.sided", conf.level = 0.95)

Arguments

x	a numeric vector.
mu	a number indicating the tested value of mu.
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
conf.level	confidence level of the likelihood interval.

Value

An S3 class containing the test statistic, p value, likelihood based confidence interval, and alternative hypothesis.

Source

• Yudi Pawitan. In All Likelihood. Oxford University Press.

• Owen. Empirical Likelihood. Chapman & Hall/CRC.

Examples

library(LRTesteR)

# Null is true
set.seed(1)
x <- rnorm(25, 0, 1)
empirical_mu_one_sample(x, 0, "two.sided")

# Null is false
set.seed(1)
x <- rnorm(25, 2, 1)
empirical_mu_one_sample(x, 1, "greater")

gmcmacran/MLTesteR documentation built on Sept. 12, 2024, 3:30 p.m.