mu.varknown: Bayesian sample size determination for estimating a single...

In SampleSizeMeans: Sample Size Calculations for Normal Means

Bayesian sample size determination for estimating a single normal mean with known variance

Description

The function mu.varknown returns the required sample size to reach a desired posterior credible interval length and coverage probability for a normal mean when the variance is known.

Usage

mu.varknown(len, lambda, n0, level = 0.95)

Arguments

len	The desired total length of the posterior credible interval for the mean
lambda	The known precision (reciprocal of variance)
n0	Prior sample size equivalent for the mean
level	The desired coverage probability of the posterior credible interval (e.g., 0.95)

Details

Assume that a sample will be collected in order to estimate the mean of a normally distributed random variable with known precision lambda (where the precision is the reciprocal of the variance). Assume that the mean is unknown, but has prior information equivalent to n0 previous observations. The function mu.varknown returns the required sample size to attain the desired length len and coverage probability level for the posterior credible interval for the unknown mean.

This function uses a fully Bayesian approach to sample size determination. Therefore, the desired coverages and lengths are only realized if the prior distributions input to the function are used for final inferences. Researchers preferring to use the data only for final inferences are encouraged to use the Mixed Bayesian/Likelihood version of the function.

Value

The required sample size given the inputs to the function.

Note

The sample size returned by this function is exact.

Author(s)

Lawrence Joseph [e-mail] and Patrick Bélisle

References

Joseph L, Bélisle P.
Bayesian sample size determination for Normal means and differences between Normal means
The Statistician 1997;46(2):209-226.

See Also

mu.acc, mu.alc, mu.modwoc, mu.mbl.varknown, mu.mblacc, mu.mblalc, mu.mblmodwoc, mu.freq, mudiff.varknown, mudiff.acc, mudiff.alc, mudiff.modwoc, mudiff.acc.equalvar, mudiff.alc.equalvar, mudiff.modwoc.equalvar, mudiff.mbl.varknown, mudiff.mblacc, mudiff.mblalc, mudiff.mblmodwoc, mudiff.mblacc.equalvar, mudiff.mblalc.equalvar, mudiff.mblmodwoc.equalvar, mudiff.freq

Examples

mu.varknown(len=0.2, lambda=1/4, n0=10)

SampleSizeMeans documentation built on Aug. 23, 2023, 1:09 a.m.