Rates

Computes the True and False Positive Rates by comparing the true (observed) and
predicted status. The predicted status is obtained by applying a threshold on
the predicted scores.

internal

This R package can be used to generate artificial data conditionally on pre-specified (simulated or user-defined) relationships between the variables and/or observations. Each observation is drawn from a multivariate Normal distribution where the mean vector and covariance matrix reflect the desired relationships. Outputs can be used to evaluate the performances of variable selection, graphical modelling, or clustering approaches by comparing the true and estimated structures (B Bodinier et al (2021) <arXiv:2106.02521>).

Barbara Bodinier

fake

Flexible Data Simulation Using the Multivariate Normal
Distribution

Rates function

<dl><dt>observed</dt>
<dd>vector of binary outcomes.</dd>
<dt>predicted</dt>
<dd>vector of predicted scores.</dd>
<dt>thr</dt>
<dd>threshold for predicted scores.</dd></dl>

Arguments

True and False Positive Rates — Rates

<dl>

<dt>observed</dt>
<dd>vector of binary outcomes.</dd>


<dt>predicted</dt>
<dd>vector of predicted scores.</dd>


<dt>thr</dt>
<dd>threshold for predicted scores.</dd>

</dl>

Rates: True and False Positive Rates

Description

Usage

Value

Arguments