Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The conditional Mahalanobis distance is calculated using a conditional covariance matrix (i.e., a covariance matrix of the outcome variables after controlling for a set of predictors). Plotting the output of the cond_maha() function can help identify which elements of a profile are unusual after controlling for the predictors.

Calculates Conditional Mahalanobis Distances

package-ubuntu-20.04-r-4.0.5#cran#unusualprofile-0.1.0

<p>Range label associated with probability
</p>

<table summary="R argblock"><tr valign="top">
<td><code>p</code></td>
<td>
<p>Probability</p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#unusualprofile-0.1.0#docs#p2label

p2label

Description

Usage

Arguments

Value

unusualprofile

We don't support your browser anymore