test_data

Contains controls and cases data from normal distributions.

datasets

Provides functions to construct confidence intervals for the Overlap Coefficient (OVL). OVL measures the similarity between two distributions through the overlapping area of their distribution functions. Given its intuitive description and ease of visual representation by the straightforward depiction of the amount of overlap between the two corresponding histograms based on samples of measurements from each one of the two distributions, the development of accurate methods for confidence interval construction can be useful for applied researchers. Implements methods based on the work of Franco-Pereira, A.M., Nakas, C.T., Reiser, B., and Pardo, M.C. (2021) <doi:10.1177/09622802211046386> as well as extensions for multimodal distributions proposed by Alcaraz-Peñalba, A., Franco-Pereira, A., and Pardo, M.C. (2025) <doi:10.1007/s10182-025-00545-2>.

Alba M. Franco-Pereira 

OVL.CI

Inference on the Overlap Coefficient

Christos T. Nakas 

Benjamin Reiser 

M.Carmen Pardo 

Alba Alcaraz-Peñalba 

test_data function

A data frame with 100 rows and 2 variables:<dl>
 <dt>controls</dt>
<dd>Simulated data from a N(10,1)distribution for the control group.</dd> <dt>cases</dt>
<dd>Simulated data from a N(10.5,0.5)distribution for the case group.</dd>
</dl>

Format

Simulated data with normal distributions — test_data

A data frame with 100 rows and 2 variables:<dl>
 <dt>controls</dt>
<dd>Simulated data from a N(10,1)distribution for the control group.</dd>

 <dt>cases</dt>
<dd>Simulated data from a N(10.5,0.5)distribution for the case group.</dd>


</dl>

test_data: Simulated data with normal distributions

Description

Usage

Arguments

Format

References

Examples