bfControl

Usually these arguments do not need to be changed.

internal

Gives some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed rank test, coefficient of variation test, test of normal variance, test on weighted sums of Poisson [see Fay and Kim <doi:10.1002/bimj.201600111>], sample size for t-tests with different variances and non-equal n per arm, Behrens-Fisher test, nonparametric ABC intervals, Wilcoxon-Mann-Whitney test [with effect estimates and confidence intervals, see Fay and Malinovsky <doi:10.1002/sim.7890>], two-sample melding tests [see Fay, Proschan, and Brittain <doi:10.1111/biom.12231>], one-way ANOVA allowing var.equal=FALSE [see Brown and Forsythe, 1974, Biometrics]), prevalence confidence intervals that adjust for sensitivity and specificity [see Lang and Reiczigel, 2014 <doi:10.1016/j.prevetmed.2013.09.015>] or Bayer, Fay, and Graubard, 2023 <doi:10.48550/arXiv.2205.13494>). The focus is on hypothesis tests that have compatible confidence intervals, but some functions only have confidence intervals (e.g., prevSeSp).

Michael Fay

asht

Applied Statistical Hypothesis Tests

bfControl function

<dl> <dt>calcmethod</dt>
<dd>either 'int' for numeric integration (default), or 'mc' for Monte Carlo estimation</dd> <dt>epsilon</dt>
<dd>small value input into <code>pbf</code> or <code>qbf</code></dd> <dt>nmc</dt>
<dd>number of Monte Carlo replications used when calcmethod='mc'</dd></dl>

Arguments

Algorithm control arguments for Behrens-Fisher test — bfControl

<dl>

 <dt>calcmethod</dt>
<dd>either 'int' for numeric integration (default), or 'mc' for Monte Carlo estimation</dd>

 <dt>epsilon</dt>
<dd>small value input into <code>pbf</code> or <code>qbf</code></dd>

 <dt>nmc</dt>
<dd>number of Monte Carlo replications used when calcmethod='mc'</dd>

</dl>

bfControl: Algorithm control arguments for Behrens-Fisher test

Description

Usage

Value

Arguments

Details