calc_rejection

Calculates rejection rate. The function also calculates the
 associated Monte Carlo standard error.

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <DOI:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <DOI:10.1080/01621459.2000.10474226>.

Megha Joshi

simhelpers

Helper Functions for Simulation Studies

James Pustejovsky

calc_rejection function

<dl><dt>data</dt>
<dd>data frame or tibble containing the simulation results.</dd>
<dt>p_values</dt>
<dd>vector or name of column from <code>data</code> containing
p-values.</dd>
<dt>alpha</dt>
<dd>scalar or vector indicating the nominal alpha level(s). Default
value is set to the conventional .05.</dd>
<dt>format</dt>
<dd>option <code>"wide"</code> (the default) will produce a tibble with
one row, with separate variables for each specified <code>alpha</code>. Option
<code>"long"</code> will produce a tibble with one row per specified
<code>alpha</code>.</dd></dl>

Arguments

Calculate rejection rate and MCSE — calc_rejection

<dl>

<dt>data</dt>
<dd>data frame or tibble containing the simulation results.</dd>


<dt>p_values</dt>
<dd>vector or name of column from <code>data</code> containing
p-values.</dd>


<dt>alpha</dt>
<dd>scalar or vector indicating the nominal alpha level(s). Default
value is set to the conventional .05.</dd>


<dt>format</dt>
<dd>option <code>"wide"</code> (the default) will produce a tibble with
one row, with separate variables for each specified <code>alpha</code>. Option
<code>"long"</code> will produce a tibble with one row per specified
<code>alpha</code>.</dd>

</dl>

calc_rejection: Calculate rejection rate and MCSE

Description

Usage

Value

Arguments

Examples