DESCRIPTION

Package: KLFDAPC
Type: Package
Title: KLFDAPC: Kernel Local Fisher Discriminant Analysis of Principal Components- A Non-linear Tool for Population Structure Inference. 
Version: 0.2.0
Author: Xinghu Qin
Maintainer: Xinghu Qin <qinxinghu@gmail.com>
Description: This package implements Kernel local Fisher discriminant analysis of principal components(KLFDAPC). 
    KLFDAPC is known for appying the kernel trick considering the non-linear properties of the data, therefore non-linearlized the local Fisher discriminant analysis. It not only preserves between -group variances, but also retains the within-group variances of tha data. In other words, it keeps both the global and local structure of the data.  
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
URL: https://github.com/xinghuq/KLFDAPC
BugReports: https://github.com/xinghuq/KLFDAPC/issues
biocViews:
Imports: lfda,MASS,kernlab,klaR,plotly,rARPACK,SNPRelate,DA
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 6.1.1
Suggests: knitr,testthat,rmarkdown