imputationModelCompare

Function that compares two nested <code>lme()</code> models from multiple
imputation using likelihood ratio test.

A collection of R functions that are widely used by the Petersen
Lab. Included are functions for various purposes, including evaluating the
accuracy of judgments and predictions, performing scoring of assessments,
generating correlation matrices, conversion of data between various types,
data management, psychometric evaluation, extensions related to latent
variable modeling, various plotting capabilities, and other miscellaneous
useful functions. By making the package available, we hope to make our
methods reproducible and replicable by others and to help others perform
their data processing and analysis methods more easily and efficiently. The
codebase is provided in Petersen (2024) <doi:10.5281/zenodo.7602890> and on
CRAN: <doi: 10.32614/CRAN.package.petersenlab>. The package is described in
"Principles of Psychological Assessment: With Applied Examples in R"
(Petersen, 2024, 2025) <doi:10.1201/9781003357421>,
<doi:10.25820/work.007199>, <doi:10.5281/zenodo.6466589>.

Isaac T. Petersen

petersenlab

A Collection of R Functions by the Petersen Lab

Developmental Psychopathology Lab at the University of Iowa 

Angela D. Staples

Johanna Caskey

Philipp Doebler

Loreen Sabel

imputationModelCompare function

<dl><dt>model1</dt>
<dd>name of first <code>lme()</code> model object with multiply imputed
data.</dd>
<dt>model2</dt>
<dd>name of second <code>lme()</code> model object with multiply imputed
data.</dd></dl>

Arguments

Compare Mixed Effect Imputation Models. — imputationModelCompare

<dl>

<dt>model1</dt>
<dd>name of first <code>lme()</code> model object with multiply imputed
data.</dd>


<dt>model2</dt>
<dd>name of second <code>lme()</code> model object with multiply imputed
data.</dd>

</dl>

imputationModelCompare: Compare Mixed Effect Imputation Models.

Description

Usage

Value

Arguments

Details

See Also

Examples