normalization: Accessors for the 'type' slot.

In NBLDA: Negative Binomial Linear Discriminant Analysis

Accessors for the 'type' slot.

Description

This slot stores the name of normalization method. Normalization is defined using type argument in trainNBLDA function.

Usage

## S4 method for signature 'nblda'
normalization(object)

## S4 method for signature 'nblda_trained'
normalization(object)

Arguments

object

an nblda or nblda_trained object.

See Also

trainNBLDA

Examples

set.seed(2128)
counts <- generateCountData(n = 20, p = 10, K = 2, param = 1, sdsignal = 0.5, DE = 0.8,
                            allZero.rm = FALSE, tag.samples = TRUE)
x <- t(counts$x + 1)
y <- counts$y
xte <- t(counts$xte + 1)
ctrl <- nbldaControl(folds = 2, repeats = 2)

fit <- trainNBLDA(x = x, y = y, type = "mle", tuneLength = 10,
                  metric = "accuracy", train.control = ctrl)

normalization(fit)

NBLDA documentation built on March 18, 2022, 7:51 p.m.