cor2cov

Convert a correlation matrix into a covariance matrix

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

cor2cov function

<dl><dt>sigma</dt>
<dd>vector of standard deviations. The order of standard deviations should correspond to the column order in 'cormat'.</dd>
<dt>cormat</dt>
<dd>a symmetric numeric correlation matrix</dd></dl>

Arguments

Thomas Debray &lt;thomas.debray@gmail.com&gt;

Author

Convert a correlation matrix into a covariance matrix — cor2cov

<dl>

<dt>sigma</dt>
<dd>vector of standard deviations. The order of standard deviations should correspond to the column order in 'cormat'.</dd>


<dt>cormat</dt>
<dd>a symmetric numeric correlation matrix</dd>

</dl>

cor2cov: Convert a correlation matrix into a covariance matrix

Description

Usage

Value

Arguments

Author