generalizability

Obtain generalizability estimates from a model fit.

Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.

Thomas Debray

metamisc

Meta-Analysis of Diagnosis and Prognosis Research Studies

Valentijn de Jong

gen function

<dl><dt>object</dt>
<dd>A model fit object, either a metapred or <code>subset(metapred)</code> object.</dd>
<dt>...</dt>
<dd>By default, the final model is selected. This parameter allows other arguments to be passed 
to subset.metapred such that the generalizability estimates of other steps/models may be
returned..</dd></dl>

Arguments

Author

Generalizability estimates — gen

<dl>

<dt>object</dt>
<dd>A model fit object, either a metapred or <code>subset(metapred)</code> object.</dd>


<dt>...</dt>
<dd>By default, the final model is selected. This parameter allows other arguments to be passed 
to subset.metapred such that the generalizability estimates of other steps/models may be
returned..</dd>

</dl>

gen: Generalizability estimates

Description

Usage

Arguments

Author