bdotsFitter

The one subject version of bdotsFit

Analyze differences among time series curves with p-value
adjustment for multiple comparisons introduced in Oleson et al
(2015) <DOI:10.1177/0962280215607411>.

Collin Nolte

bdots

Bootstrapped Differences of Time Series

bdotsFitter function

<dl><dt>dat</dt>
<dd>data for single subject/group combo</dd>
<dt>curveType</dt>
<dd>this is actually a function. Should rename</dd>
<dt>rho</dt>
<dd>correlation coefficient</dd>
<dt>numRefits</dt>
<dd>number of refit attempts</dd>
<dt>verbose</dt>
<dd>not used</dd>
<dt>getCovOnly</dt>
<dd>only find covariance matrix from starting parameter values</dd>
<dt>params</dt>
<dd>starting parameters, if wanting to add manually</dd>
<dt>splitVars</dt>
<dd>variables used to identify group. Might combine with datVarNames</dd>
<dt>datVarNames</dt>
<dd>character vector indicating reponse and time values from parent call</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Fits Individual Subject Curve — bdotsFitter

<dl>

<dt>dat</dt>
<dd>data for single subject/group combo</dd>


<dt>curveType</dt>
<dd>this is actually a function. Should rename</dd>


<dt>rho</dt>
<dd>correlation coefficient</dd>


<dt>numRefits</dt>
<dd>number of refit attempts</dd>


<dt>verbose</dt>
<dd>not used</dd>


<dt>getCovOnly</dt>
<dd>only find covariance matrix from starting parameter values</dd>


<dt>params</dt>
<dd>starting parameters, if wanting to add manually</dd>


<dt>splitVars</dt>
<dd>variables used to identify group. Might combine with datVarNames</dd>


<dt>datVarNames</dt>
<dd>character vector indicating reponse and time values from parent call</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

bdotsFitter: Fits Individual Subject Curve

Description

Usage

Arguments