MCbound.precalc1

Because the calculation of this truncated sequential probability ratio test stopping boundary
takes a long time, it is calculated ahead of time and included in the package. 
It is created with the following code, 
<code>MCbound("tsprt",parms=c(p0=p0.given.p1(0.04),p1=0.04,alpha0=.0001,beta0=0.0001,Nmax=9999),conf.level=.99)</code>.

sysdata

Performs Monte Carlo hypothesis tests, allowing a couple of different sequential stopping boundaries. For example, a truncated sequential probability ratio test boundary (Fay, Kim and Hachey, 2007 <DOI:10.1198/106186007X257025>) and a boundary proposed by Besag and Clifford, 1991 <DOI:10.1093/biomet/78.2.301>. Gives valid p-values and confidence intervals on p-values.

Michael Fay

MChtest

Monte Carlo Hypothesis Tests with Sequential Stopping

MCbound.precalc1 function

The format is:
List of 10<ul>
<li>S : num [1:10000] 22 22 22 22 22 22 22 22 22 22 ...</li>
<li>N : num [1:10000] 22 23 24 25 26 27 28 29 30 31 ...</li>
<li>p.value : num [1:10000] 1.000 0.957 0.917 0.880 0.846 ...</li>
<li>ci.lower : num [1:10000] 0.786 0.719 0.668 0.626 0.590 ...</li>
<li>ci.upper : num [1:10000] 1.000 1.000 0.995 0.985 0.972 ...</li>
<li>Kstar : num [1:10000] 0.0435 0.0399 0.0367 0.0338 0.0313 ...</li>
<li>conf.level: num 0.99</li>
<li>type : chr "tsprt"</li>
<li>parms : Named num [1:5] 6.14e-02 4.00e-02 1.00e-04 1.00e-04 1.00e+04</li>
<li>..- attr(*, "names")= chr [1:5] "p0" "p1" "alpha0" "beta0" ...</li>
<li>check : num 1</li>
<li>- attr(*, "class")= chr "MCbound"</li>
</ul>

MCbound.precalc1: Precalculated object of class MCbound

Description

Usage

Arguments

Format

Examples