thresholdIntrinsic

Computes the p-value threshold for intrinsic credibility

Provides utilities for the design and analysis of replication
studies. Features both traditional methods based on statistical
significance and more recent methods such as the sceptical p-value;
Held L. (2020) <doi:10.1111/rssa.12493>, Held et al. (2022)
<doi:10.1214/21-AOAS1502>, Micheloud et al. (2023) <doi:10.1111/stan.12312>.
Also provides related methods including the harmonic mean chi-squared
test; Held, L. (2020) <doi:10.1111/rssc.12410>, and intrinsic
credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains
datasets from five large-scale replication projects.

Samuel Pawel

ReplicationSuccess

Design and Analysis of Replication Studies

Leonhard Held

Charlotte Micheloud

Florian Gerber

Felix Hofmann

thresholdIntrinsic function

<dl><dt>alpha</dt>
<dd>Numeric vector of intrinsic credibility levels.</dd>
<dt>alternative</dt>
<dd>Either "two.sided" (default) or "one.sided".
Specifies if the threshold is for one-sided or two-sided p-values.</dd>
<dt>type</dt>
<dd>Either "Held" (default) or "Matthews".
Type of intrinsic p-value threshold, see Held (2019) and Matthews (2018)
for more information.</dd></dl>

Arguments

Author

Computes the p-value threshold for intrinsic credibility — thresholdIntrinsic

<dl>

<dt>alpha</dt>
<dd>Numeric vector of intrinsic credibility levels.</dd>


<dt>alternative</dt>
<dd>Either "two.sided" (default) or "one.sided".
Specifies if the threshold is for one-sided or two-sided p-values.</dd>


<dt>type</dt>
<dd>Either "Held" (default) or "Matthews".
Type of intrinsic p-value threshold, see Held (2019) and Matthews (2018)
for more information.</dd>

</dl>

thresholdIntrinsic: Computes the p-value threshold for intrinsic credibility

Description

Usage

Value

Arguments

Author

References

Examples