confint.singleRStaticCountData

A function that computes studentized confidence intervals
for model coefficients.

Implementation of single-source capture-recapture methods for population size estimation using zero-truncated, zero-one truncated and zero-truncated one-inflated Poisson, Geometric and Negative Binomial regression as well as Zelterman's and Chao's regression. Package includes point and interval estimators for the population size with variances estimated using analytical or bootstrap method. Details can be found in: van der Heijden et all. (2003) <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019) <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods for the Social and Medical Sciences or Böhning and Friedl (2021) <doi:10.1007/s10260-021-00556-8>.

Maciej Ber<c4><99>sewicz

singleRcapture

Single-Source Capture-Recapture Models

Piotr Chlebicki

Maciej Beręsewicz

confint.singleRStaticCountData function

<dl><dt>object</dt>
<dd>object of singleRStaticCountData class.</dd>
<dt>parm</dt>
<dd>names of parameters for which confidence intervals are to be
computed, if missing all parameters will be considered.</dd>
<dt>level</dt>
<dd>confidence level for intervals.</dd>
<dt>...</dt>
<dd>currently does nothing.</dd></dl>

Arguments

Confidence intervals for model parameters — confint.singleRStaticCountData

<dl>

<dt>object</dt>
<dd>object of singleRStaticCountData class.</dd>


<dt>parm</dt>
<dd>names of parameters for which confidence intervals are to be
computed, if missing all parameters will be considered.</dd>


<dt>level</dt>
<dd>confidence level for intervals.</dd>


<dt>...</dt>
<dd>currently does nothing.</dd>

</dl>

confint.singleRStaticCountData: Confidence intervals for model parameters

Description

Usage

Value

Arguments