pcaQda_perf: Classification PCA+QDA model for simulated dataset of DMPs...

In genomaths/MethylIT: Methylation Analysis Based on Signal Detection

Classification PCA+QDA model for simulated dataset of DMPs used in examples

Description

This data/object carries the information about the classification performance of the combined models of Principal Components PCA and Quadratic Discriminant ("QDA")) analyses on the set of dmps.

Usage

pcaQda_perf

Format

pcaQda_perf is an object from class "pcaQDA", consisting of a list with the following elements:

Performance

Classification performance of the "PCA+QDA" model on the set of dmps

.

FDR

False discovery rate estimated for the "PCA+QDA" model on the set of dmps

.

model

The "pcaQDA" model fitted on the set of dmps, carrying the qda and the "PCA" models. The "PCA" is fitted with prcomp

function.

pcaQda_perf is an object from "pcaQDA" class, which was obtained applying evaluateDIMPclass function on the set of dmps.

genomaths/MethylIT documentation built on Feb. 3, 2024, 1:24 a.m.