boutsNLSll,Bouts-method

boutsNLSll

boutsNLSll,numeric-method

Generalized log likelihood function taking any number of Poisson
 processes in a "broken-stick" model

Utilities to represent, visualize, filter, analyse, and summarize
time-depth recorder (TDR) data.  Miscellaneous functions for
handling location data are also provided.

Sebastian Luque

diveMove

Dive Analysis and Calibration

boutsNLSll,Bouts-method function

<dl><dt>obj</dt>
<dd>Object of class <code>Bouts</code> or numeric vector of
independent data to be described by the function.</dd>
<dt>coefs</dt>
<dd>matrix of coefficients (<code>a</code> and <code>lambda</code>) in
rows for each process of the model in columns.</dd></dl>

Arguments

<ul>
<li><code>Bouts</code>: Log likelihood <code>Bouts</code> method</li>
<li><code>numeric</code>: Log likelihood function <code>numeric</code> method</li>
</ul>

Methods (by class)

Sebastian P. Luque <a href="/link/spluque%40gmail.com?package=diveMove&version=1.6.2" data-mini-rdoc="diveMove::spluque@gmail.com">spluque@gmail.com</a>

Author

Generalized log likelihood function taking any number of Poisson
    processes in a "broken-stick" model — boutsNLSll,Bouts-method

<dl>

<dt>obj</dt>
<dd>Object of class <code>Bouts</code> or numeric vector of
independent data to be described by the function.</dd>


<dt>coefs</dt>
<dd>matrix of coefficients (<code>a</code> and <code>lambda</code>) in
rows for each process of the model in columns.</dd>

</dl>

Sebastian P. Luque <a href='mailto:spluque@gmail.com'>spluque@gmail.com</a>

boutsNLSll,Bouts-method: Generalized log likelihood function taking any number of Poisson processes in a "broken-stick" model

Description

Usage

Value

Arguments

Methods (by class)

Author