<div dir="ltr">Thank you for this example! It is really helpful to see an
implementation of this approach, and will certainly help me make some
progress.</div><div class="gmail_extra"><br><br><div class="gmail_quote">On Sat, May 24, 2014 at 11:33 AM, dave fournier <span dir="ltr"><<a href="mailto:davef@otter-rsch.com" target="_blank">davef@otter-rsch.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div class="HOEnZb"><div class="h5">The way to do this is to use a differentiable logistic as Ben suggested. In addition you should use phases and gradually<br>
increase the steepness. Finally as a technical matter you should use exp(z) in place of exp(-z) to avoid overflow when<br>
necessary. See the attached changepoint.tpl<br>
<br>
To run this with multiple phase you would use the command line option -maxph 3<br>
<br>
Note use of value() function which will be needed in random effects model.<br>
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