logit

expit

~misc

Provides advanced Bayesian methods to estimate
abundance and run-timing from temporally-stratified
Petersen mark-recapture experiments. Methods include
hierarchical modelling of the capture probabilities
and spline smoothing of the daily run size. Theory
described in Bonner and Schwarz (2011)
<doi:10.1111/j.1541-0420.2011.01599.x>.

Carl Schwarz

BTSPAS

Bayesian Time-Stratified Population Analysis

logit function

<dl><dt>p</dt>
<dd>probability between 0 and 1.</dd>
<dt>theta</dt>
<dd>logit between -infinity and +infinity</dd></dl>

Arguments

C.J.Schwarz <a href="/link/cschwarz%40stat.sfu.ca?package=BTSPAS&version=2024.5.9" data-mini-rdoc="BTSPAS::cschwarz@stat.sfu.ca">cschwarz@stat.sfu.ca</a>

Author

Logit and anti-logit function. — logit

<dl>

<dt>p</dt>
<dd>probability between 0 and 1.</dd>


<dt>theta</dt>
<dd>logit between -infinity and +infinity</dd>

</dl>

C.J.Schwarz <a href='mailto:cschwarz@stat.sfu.ca'>cschwarz@stat.sfu.ca</a>

logit: Logit and anti-logit function.

Description

Usage

Value

Arguments

Author

Examples