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ReplicationSuccess (version 1.3.3)

pvalueBound: Bound for the p-values entering the harmonic mean chi-squared test

Description

Necessary or sufficient bounds for significance of the harmonic mean chi-squared test are computed for n one-sided p-values.

Usage

pvalueBound(alpha, n, type = c("necessary", "sufficient"))

Value

The bound for the p-values.

Arguments

alpha

Numeric vector specifying the significance level.

n

The number of p-values.

type

Either "necessary" (default) or "sufficient". If "necessary", the necessary bounds are computed. If "sufficient", the sufficient bounds are computed.

Author

Leonhard Held

References

Held, L. (2020). The harmonic mean chi-squared test to substantiate scientific findings. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69, 697-708. tools:::Rd_expr_doi("10.1111/rssc.12410")

See Also

hMeanChiSq

Examples

Run this code
pvalueBound(alpha = 0.025^2, n = 2, type = "necessary")
pvalueBound(alpha = 0.025^2, n = 2, type = "sufficient")

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