plot.MCbound

the rounding digit for the parms values in the title

rdigit

if the number of points in the MCbound is &gt;plimit then plot lines, otherwise plot points

plimit

additional arguments to both plot functions

Creates two plots of an object of class <code><a rd-options="" href="/link/MCbound?package=MChtest&version=1.0-3" data-mini-rdoc="MChtest::MCbound">MCbound</a></code>, an stopping boundary for use with Monte Carlo hypothesis tests. 
First, it plots the stopping boundary as number of replications (i.e., N)
vs. number of sucesses (S). Second, it plots the estimated p-values
vs. the confidence limits minus the estimated p-values (this nicely shows the width of the confidence intervals).

hplot

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

plot.MCbound function

Creates two plots of an object of class <code><a rd-options='' href='MCbound'>MCbound</a></code>, an stopping boundary for use with Monte Carlo hypothesis tests. 
First, it plots the stopping boundary as number of replications (i.e., N)
vs. number of sucesses (S). Second, it plots the estimated p-values
vs. the confidence limits minus the estimated p-values (this nicely shows the width of the confidence intervals).

plot.MCbound: Plot stopping boundary

Description

Usage

Arguments

Value

See Also

Examples