RRbinomial

The upper and lower limits for mu's depend on the Randomized Response parameters.

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data.
Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data.
RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular.
Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.

Jean-Paul Fox

GLMMRR

Generalized Linear Mixed Model (GLMM) for Binary Randomized
Response Data

Konrad Klotzke

Duco Veen

RRbinomial function

<dl><dt>link</dt>
<dd>a specification for the model link function. Must be an object of class "link-glm".</dd>
<dt>c</dt>
<dd>a numeric vector containing the parameter c.</dd>
<dt>d</dt>
<dd>a numeric vector containing the parameter d.</dd>
<dt>...</dt>
<dd>other potential arguments to be passed to <code><a href="/link/binomial?package=GLMMRR&version=0.6.0" data-mini-rdoc="GLMMRR::binomial">binomial</a></code>.</dd></dl>

Arguments

Binomial family adjusted for Randomized Response parameters. — RRbinomial

<dl>

<dt>link</dt>
<dd>a specification for the model link function. Must be an object of class "link-glm".</dd>


<dt>c</dt>
<dd>a numeric vector containing the parameter c.</dd>


<dt>d</dt>
<dd>a numeric vector containing the parameter d.</dd>


<dt>...</dt>
<dd>other potential arguments to be passed to <code><a href='https://rdrr.io/r/stats/family.html'>binomial</a></code>.</dd>

</dl>

RRbinomial: Binomial family adjusted for Randomized Response parameters.

Description

Usage

Value

Arguments

See Also