TrainKDE: Train binary KDE classifier

In kharchenkolab/dropestr: Preprocessing of Droplet-Based Single-Cell RNA-Seq Data

Description

Train binary KDE classifier

Usage

TrainKDE(x, y, H = ks::Hns, prior.probs = c(0.5, 0.5))

Arguments

x	train data
y	train answers
H	the algorithm of bandwidth selection (see 'ks' documentation) (default=ks::Hns)
prior.probs	Prior probabilities or weights of classes (default=c(0.5, 0.5))

Value

Trained KDE classifier

kharchenkolab/dropestr documentation built on Sept. 18, 2020, 2:14 a.m.