pcaLda_perf: Classification PCA+LDA model for simulated dataset of DMPs...

pcaLda_perfR Documentation

Classification PCA+LDA 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 Linear Discriminant ("LDA")) analyses on the set of dmps.

Usage

pcaLda_perf

Format

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

Performance

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

.

FDR

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

.

model

The "PCA+LDA" model fitted on the set of dmps, carrying the lda and the "PCA" models. The "PCA" is fitted with prcomp

function.

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


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