logistic_sac

And even cooler logistic fitting function, will think of a better name later

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

Michael Seedorff

Jacob Oleson

Grant Brown

Joseph Cavanaugh

Bob McMurray

logistic_sac function

<dl><dt>dat</dt>
<dd>subject data to be used</dd>
<dt>y</dt>
<dd>outcome variable</dd>
<dt>time</dt>
<dd>time variable</dd>
<dt>params</dt>
<dd><code>NULL</code> unless user wants to specify starting parameters for gnls</dd>
<dt>startSamp</dt>
<dd>how many samples from distribution should we use to investigate</dd>
<dt>...</dt>
<dd>just in case</dd></dl>

Arguments

Logistic saccade curve function for nlme — logistic_sac

<dl>

<dt>dat</dt>
<dd>subject data to be used</dd>


<dt>y</dt>
<dd>outcome variable</dd>


<dt>time</dt>
<dd>time variable</dd>


<dt>params</dt>
<dd><code>NULL</code> unless user wants to specify starting parameters for gnls</dd>


<dt>startSamp</dt>
<dd>how many samples from distribution should we use to investigate</dd>


<dt>...</dt>
<dd>just in case</dd>

</dl>

logistic_sac: Logistic saccade curve function for nlme

Description

Usage

Arguments

Details