controlModel

<code>controlModel</code> constructs a list with all necessary
control parameters in <code>estimatePopsize</code> that are either specific to
selected model or do not fit anywhere else.
Specifying additional formulas should be done by using only right hand side of
the formula also for now all variables from additional formulas should also be
included in the "main" formula.

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

controlModel function

<dl><dt>weightsAsCounts</dt>
<dd>a boolean value indicating whether to treat <code>weights</code>
argument as number of occurrences for each row in the <code>data</code> and adjust
necessary methods and functionalities, like adjustments in bootstrap or
decreasing weights in <code>dfbeta</code> instead or deleting rows from data,
to accommodate this form of model specification.</dd>
<dt>omegaFormula</dt>
<dd>a formula for inflation parameter in one inflated zero
truncated and zero truncated one inflated models.</dd>
<dt>alphaFormula</dt>
<dd>a formula for dispersion parameter in negative binomial
based models.</dd>
<dt>piFormula</dt>
<dd>a formula for probability parameter in pseudo hurdle zero
truncated and zero truncated pseudo hurdle models.</dd></dl>

Arguments

Piotr Chlebicki, Maciej Beręsewicz

Author

Control parameters specific to some models — controlModel

<dl>

<dt>weightsAsCounts</dt>
<dd>a boolean value indicating whether to treat <code>weights</code>
argument as number of occurrences for each row in the <code>data</code> and adjust
necessary methods and functionalities, like adjustments in bootstrap or
decreasing weights in <code>dfbeta</code> instead or deleting rows from data,
to accommodate this form of model specification.</dd>


<dt>omegaFormula</dt>
<dd>a formula for inflation parameter in one inflated zero
truncated and zero truncated one inflated models.</dd>


<dt>alphaFormula</dt>
<dd>a formula for dispersion parameter in negative binomial
based models.</dd>


<dt>piFormula</dt>
<dd>a formula for probability parameter in pseudo hurdle zero
truncated and zero truncated pseudo hurdle models.</dd>

</dl>

controlModel: Control parameters specific to some models

Description

Usage

Value

Arguments

Author

See Also