Sets up design matrix for measurement error models.

models

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

Jarrod Hadfield

MCMCglmm

MCMC Generalised Linear Mixed Models

me function

<dl> <dt>formula</dt>
<dd><code><a href="/link/formula?package=MCMCglmm&version=2.36" data-mini-rdoc="MCMCglmm::formula">formula</a></code> for the fixed effects.</dd> <dt>error</dt>
<dd>character; name of column in <code><a href="/link/data.frame?package=MCMCglmm&version=2.36" data-mini-rdoc="MCMCglmm::data.frame">data.frame</a></code> in which standard error (<code>type="classical"</code> or <code>type="berkson"</code>) or miscalssification error (<code>type="dclassical"</code>) is stored.</dd> <dt>group</dt>
<dd>name of column in <code><a href="/link/data.frame?package=MCMCglmm&version=2.36" data-mini-rdoc="MCMCglmm::data.frame">data.frame</a></code> in which groups are stored. Rows of the design matrix with the same <code>group</code> level are assumed to pertain to the same obsevation of the covariate that is measured with error.</dd> <dt>type</dt>
<dd>character; one of <code>type="classical"</code>, <code>type="berkson"</code>, <code>type="dclassical"</code> or <code>type="dberkson"</code> (see details)</dd> </dl>

Arguments

Jarrod Hadfield <a href="/link/j.hadfield%40ed.ac.uk?package=MCMCglmm&version=2.36" data-mini-rdoc="MCMCglmm::j.hadfield@ed.ac.uk">j.hadfield@ed.ac.uk</a>

Author

Design Matrix for Measurement Error Model — me

<dl>

 <dt>formula</dt>
<dd><code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> for the fixed effects.</dd>

 <dt>error</dt>
<dd>character; name of column in <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> in which standard error (<code>type="classical"</code> or <code>type="berkson"</code>) or miscalssification error (<code>type="dclassical"</code>) is stored.</dd>

 <dt>group</dt>
<dd>name of column in <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> in which groups are stored. Rows of the design matrix with the same <code>group</code> level are assumed to pertain to the same obsevation of the covariate that is measured with error.</dd>

 <dt>type</dt>
<dd>character; one of <code>type="classical"</code>, <code>type="berkson"</code>, <code>type="dclassical"</code> or <code>type="dberkson"</code> (see details)</dd>

 </dl>

Jarrod Hadfield <a href='mailto:j.hadfield@ed.ac.uk'>j.hadfield@ed.ac.uk</a>

me: Design Matrix for Measurement Error Model

Description

Usage

Value

Arguments

Author