gof_adj_C2

helper functions to do p value adjustment

internal

Routines that allow the user to run a large number of goodness-of-fit tests.
It allows for data to be continuous or discrete. It includes routines to estimate
the power of the tests and display them as a power graph.
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

Rgof

1d Goodness of Fit Tests

gof_adj_C2 function

<dl><dt>dta</dt>
<dd>data set</dd>
<dt>rnull</dt>
<dd>R function (generate data under null hypothesis)</dd>
<dt>vals</dt>
<dd>values of discrete random variable</dd>
<dt>TS</dt>
<dd>function to calculate test statistics</dd>
<dt>typeTS</dt>
<dd>integer indicating type of test statistic</dd>
<dt>TSextra</dt>
<dd>list to pass to TS</dd>
<dt>A</dt>
<dd>matrix of test statistic values</dd>
<dt>B</dt>
<dd>=1000 Number of simulation runs</dd></dl>

Arguments

helper functions to do p value adjustment — gof_adj_C2

<dl>

<dt>dta</dt>
<dd>data set</dd>


<dt>rnull</dt>
<dd>R function (generate data under null hypothesis)</dd>


<dt>vals</dt>
<dd>values of discrete random variable</dd>


<dt>TS</dt>
<dd>function to calculate test statistics</dd>


<dt>typeTS</dt>
<dd>integer indicating type of test statistic</dd>


<dt>TSextra</dt>
<dd>list to pass to TS</dd>


<dt>A</dt>
<dd>matrix of test statistic values</dd>


<dt>B</dt>
<dd>=1000 Number of simulation runs</dd>

</dl>

gof_adj_C2: helper functions to do p value adjustment

Description

Usage

Value

Arguments