getRRparameters

Compute 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

getRRparameters function

<dl><dt>vec.RRmodel</dt>
<dd>a character vector of Randomized Response models.</dd>
<dt>vec.p1</dt>
<dd>a numeric vector of p1 values.</dd>
<dt>vec.p2</dt>
<dd>a numeric vector of p2 values.</dd></dl>

Arguments

Compute Randomized Response parameters — getRRparameters

<dl>

<dt>vec.RRmodel</dt>
<dd>a character vector of Randomized Response models.</dd>


<dt>vec.p1</dt>
<dd>a numeric vector of p1 values.</dd>


<dt>vec.p2</dt>
<dd>a numeric vector of p2 values.</dd>

</dl>

getRRparameters: Compute Randomized Response parameters

Description

Usage

Value

Arguments