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MSPRT (version 2.1)

LR.oneZ: Likelihood ratio in one-sample Z-tests

Description

Given a simple null and a simple alternative hypotheses, this function calculates the likelihood ratio (LR) in favor of the alternative based on an observed data in one-sample Z-tests.

Usage

LR.oneZ(m, suff.stat, null = 0, alt, sigma0 = 1)

Arguments

m

a postive numeric (integer); number of samples for computing the LR.

suff.stat

numeric; the value of sufficient statistic based on m observed data.

In this case, the sufficient statistic is the sum of m observations

null

a numeric; the hypothesized value of population mean under the simple null.

Default: 0.

alt

a numeric; the hypothesized value of population mean under the simple alternative.

sigma0

a positive numeric; the known population standard deviation (sd).

Default: 1.

Value

Returns a numeric denoting the LR in favor of alt in the one-sample Z-test based on m observations.

References

MSPRT: supplemental information

Examples

Run this code
# NOT RUN {
LR.oneZ(m= 60, suff.stat= 10.5, alt= 0.5)
# }

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