boutsCDF

Estimated cumulative frequency for two- or three-process Poisson
mixture models

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

boutsCDF function

<dl><dt>x</dt>
<dd>numeric vector described by model.</dd>
<dt>p</dt>
<dd>numeric scalar or vector of proportion parameters.</dd>
<dt>lambdas</dt>
<dd>numeric vector of rate parameters.</dd></dl>

Arguments

Sebastian P. Luque <a href="/link/spluque%40gmail.com?package=diveMove&version=1.6.4" data-mini-rdoc="diveMove::spluque@gmail.com">spluque@gmail.com</a>

Author

Estimated cumulative frequency for two- or three-process Poisson
mixture models — boutsCDF

<dl>

<dt>x</dt>
<dd>numeric vector described by model.</dd>


<dt>p</dt>
<dd>numeric scalar or vector of proportion parameters.</dd>


<dt>lambdas</dt>
<dd>numeric vector of rate parameters.</dd>

</dl>

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

boutsCDF: Estimated cumulative frequency for two- or three-process Poisson mixture models

Description

Usage

Value

Arguments

Author

Examples