summary.RRglmerMod

Summarizing GLMMRR fits for fixed-effect models

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

summary.RRglmerMod function

<dl><dt>object</dt>
<dd>an object of class RRglm.</dd>
<dt>p1p2.digits</dt>
<dd>number of digits for aggregating data based on the level of protection (default: 2).</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Summarizing GLMMRR fits for fixed-effect models — summary.RRglmerMod

<dl>

<dt>object</dt>
<dd>an object of class RRglm.</dd>


<dt>p1p2.digits</dt>
<dd>number of digits for aggregating data based on the level of protection (default: 2).</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

summary.RRglmerMod: Summarizing GLMMRR fits for fixed-effect models

Description

Usage

Value

Arguments