power_newtest

This function estimates the power of test routines that calculate p value(s)

The routine twosample_test() in this package runs the
two sample test using various test statistic. The p values are
found via permutation or large sample theory. The routine twosample_power() allows the
calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
The routine run.studies allows a user to quickly study the power of a new method and
how it compares to some of the standard ones.

Wolfgang Rolke

R2sample

Various Methods for the Two Sample Problem

power_newtest function

<dl><dt>TS</dt>
<dd>routine to calculate test statistics.</dd>
<dt>f</dt>
<dd>routine that generates data.</dd>
<dt>param_alt</dt>
<dd>values of parameter under the alternative hypothesis.</dd>
<dt>TSextra</dt>
<dd>list passed to TS.</dd>
<dt>alpha</dt>
<dd>=0.05 type I error.</dd>
<dt>B</dt>
<dd>= 1000 number of simulation runs to estimate the power.</dd></dl>

Arguments

This function estimates the power of test routines that calculate p value(s) — power_newtest

<dl>

<dt>TS</dt>
<dd>routine to calculate test statistics.</dd>


<dt>f</dt>
<dd>routine that generates data.</dd>


<dt>param_alt</dt>
<dd>values of parameter under the alternative hypothesis.</dd>


<dt>TSextra</dt>
<dd>list passed to TS.</dd>


<dt>alpha</dt>
<dd>=0.05 type I error.</dd>


<dt>B</dt>
<dd>= 1000 number of simulation runs to estimate the power.</dd>

</dl>

power_newtest: This function estimates the power of test routines that calculate p value(s)

Description

Usage

Value

Arguments