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

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

The function mu.acc returns the required sample size to reach a given coverage probability on average for a posterior credible interval of fixed length for a normal mean.

Usage

1
mu.acc(len, alpha, beta, n0, level=0.95)

Arguments

len

The desired fixed length of the posterior credible interval for the mean

alpha

First parameter of the Gamma prior density for the precision (reciprocal of the variance)

beta

Second parameter of the Gamma prior density for the precision (reciprocal of the variance)

n0

Prior sample size equivalent for the mean

level

The desired average 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. Assume that the precision (reciprocal of the variance) of this random variable is unknown, but has prior information in the form of a Gamma(alpha, beta) density. Assume that the mean is unknown, but has prior information equivalent to n0 previous observations . The function mu.acc returns the required sample size to attain the desired average coverage probability level for the posterior credible interval of fixed length len 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 lawrence.joseph@mcgill.ca and Patrick Belisle

References

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

See Also

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

Examples

1
mu.acc(len=0.2, alpha=2, beta=2, n0=10)

SampleSizeMeans documentation built on May 1, 2019, 6:50 p.m.