R: Robust Kernel Unsupervised Methods

# Robust Kernel Unsupervised Methods

## Documentation for package ‘RKUM’ version 0.1.1.1

- DESCRIPTION file

## Help Pages

gkm | Kernel Matrix Using Guasian Kernel
gm3edc | A helper function
gmedc | A helper function
gmi | A helper function
hadr | Hampel's psi function
halfun | A Hampel loss function
halofun | Objective function
hudr | Huber's psi function
hulfun | A Huber loss function
hulofun | Objective function
ibskm | Kernel Matrix Using Identity-by-state Kernel
ifcca | Influence Funciton of Canonical Correlation Analysis
ifmkcca | Influence Function of Multiple Kernel Canonical Analysis
ifrkcca | Influence Function of Robust Kernel Canonical Analysis
lcv | A helper function
lkm | Kernel Matrix Using Linear Kernel
mdbw | Bandwidth of the Gaussian kernel
medc | A helper function
mvnod | A helper function
ranuf | A helper function
rkcca | Robust kernel canonical correlation analysis
rkcco | Robust kernel cross-covariance opetator
rkcm | Robsut Kernel Center Matrix
rlogit | A helper fuction
snpfmridata | An example of imaging genetics data to calcualte influential observations from two view data
snpfmrimth3D | An example of imaging genetics and epi-genetics data to calcualte influential observations from three view data
udtd | A helper function