Description Usage Arguments Value Author(s) References Examples
In two-sided fixed design one-sample z-tests with composite alternative prior assumed on the standardized effect size μ/σ_0 under the alternative, this function calculates the expected log(Hajnal's ratio) at a prefixed standardized effect size for a varied range of sample sizes.
1 2 | fixedHajnal.onez_es(es = 0, es1 = 0.3, nmin = 20, nmax = 5000,
sigma0 = 1, batch.size.increment, nReplicate = 50000)
|
es |
Numeric. Standardized effect size where the expected weights of evidence is desired. Default: |
es1 |
Positive numeric. Default: 0.3. For this, the composite alternative prior on the standardized effect size μ/σ_0 takes values 0.3 and -0.3 each with equal probability 1/2. |
nmin |
Positive integer. Minimum sample size to be considered. Default: 20. |
nmax |
Positive integer. Maximum sample size to be considered. Default: 5000. |
sigma0 |
Positive numeric. Known standard deviation in the population. Default: 1. |
batch.size.increment |
function. Increment in sample size. The sequence of sample size thus considered for the fixed design test is from |
nReplicate |
Positve integer. Number of replicated studies based on which the expected weights of evidence is calculated. Default: 50,000. |
A list with two components named summary
and BF
.
$summary
is a data frame with columns n
containing the values of sample sizes and avg.logBF
containing the expected log(Hajnal's ratios) at those values.
$BF
is a matrix of dimension number of sample sizes considered
by nReplicate
. Each row contains the Hajnal's ratios at the corresponding sample size in nReplicate
replicated studies.
Sandipan Pramanik and Valen E. Johnson
Hajnal, J. (1961). A two-sample sequential t-test.Biometrika, 48:65-75, [Article].
Schnuerch, M. and Erdfelder, E. (2020). A two-sample sequential t-test.Biometrika, 48:65-75, [Article].
1 | out = fixedHajnal.onez_es(nmax = 100)
|
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