MakeZ_C_nsmall

Returns the transformed p-values (Y) from pre-sorted p-values and
pre-truncated p-values when n &lt; m - 1

Methods for computing joint tests, controlling the Familywise Error Rate (FWER) and getting lower bounds on the number of false hypotheses in a set. The methods implemented here are described in Mogensen and Markussen (2021) <arXiv:2108.04731>.

Phillip Mogensen

TMTI

'Too Many, Too Improbable' (TMTI) Test Procedures

MakeZ_C_nsmall function

<dl><dt>pvals</dt>
<dd>A NumericVector containing the truncated sorted p-values. It
is important that this vector: 1) contains only the truncated p-values (i.e,
those that fall below the truncation point) and 2) is sorted.</dd>
<dt>n</dt>
<dd>A positive number (or Inf) indicating which type of local minimum
to consider. Defaults to Infm, corresponding to the global minimum.</dd>
<dt>m</dt>
<dd>The total (i.e., non-truncated) number of p-values.</dd></dl>

Arguments

Leading NA — MakeZ_C_nsmall

<dl>

<dt>pvals</dt>
<dd>A NumericVector containing the truncated sorted p-values. It
is important that this vector: 1) contains only the truncated p-values (i.e,
those that fall below the truncation point) and 2) is sorted.</dd>


<dt>n</dt>
<dd>A positive number (or Inf) indicating which type of local minimum
to consider. Defaults to Infm, corresponding to the global minimum.</dd>


<dt>m</dt>
<dd>The total (i.e., non-truncated) number of p-values.</dd>

</dl>

MakeZ_C_nsmall: Leading NA

Description

Usage

Arguments