getCellMeans

Get cell means for unique groups of covariates

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

getCellMeans function

<dl><dt>x</dt>
<dd>a matrix-like object containing the covariates.</dd>
<dt>y</dt>
<dd>a vector of values to compute the means from.</dd>
<dt>factor.groups</dt>
<dd>a factor of unique groups of covariates.</dd></dl>

Arguments

Get cell means for unique groups of covariates — getCellMeans

<dl>

<dt>x</dt>
<dd>a matrix-like object containing the covariates.</dd>


<dt>y</dt>
<dd>a vector of values to compute the means from.</dd>


<dt>factor.groups</dt>
<dd>a factor of unique groups of covariates.</dd>

</dl>

getCellMeans: Get cell means for unique groups of covariates

Description

Usage

Value

Arguments