anova_MCEMfit_glm

An ANOVA function for fitted <code>MCEMfit_glm</code> objects.

Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".

Jakub Stoklosa

refitME

Measurement Error Modelling using MCEM

Wenhan Hwang

David Warton

anova_MCEMfit_glm function

<dl><dt>object</dt>
<dd>: fitted model objects of class <code>MCEMfit_glm</code>.</dd>
<dt>...</dt>
<dd>: further arguments passed through to <code>glm</code>.</dd>
<dt>dispersion</dt>
<dd>: the dispersion parameter for the fitting family. By default it is obtained from the object(s).</dd>
<dt>test</dt>
<dd>: a character string, (partially) matching one of "<code>Chisq</code>", "<code>LRT</code>", "<code>Rao</code>", "<code>F</code>" or "<code>Cp</code>".</dd></dl>

Arguments

Jakub Stoklosa, Wen-Han Hwang and David I. Warton.

Author

An ANOVA function for fitted MCEMfit_glm objects — anova_MCEMfit_glm

<dl>

<dt>object</dt>
<dd>: fitted model objects of class <code>MCEMfit_glm</code>.</dd>


<dt>...</dt>
<dd>: further arguments passed through to <code>glm</code>.</dd>


<dt>dispersion</dt>
<dd>: the dispersion parameter for the fitting family. By default it is obtained from the object(s).</dd>


<dt>test</dt>
<dd>: a character string, (partially) matching one of "<code>Chisq</code>", "<code>LRT</code>", "<code>Rao</code>", "<code>F</code>" or "<code>Cp</code>".</dd>

</dl>

anova_MCEMfit_glm: An ANOVA function for fitted `MCEMfit_glm` objects

Description

Usage

Value

Arguments

Author

See Also