snpfmrimth3D: An example of imaging genetics and epi-genetics data to...

In RKUM: Robust Kernel Unsupervised Methods

An example of imaging genetics and epi-genetics data to calcualte influential observations from three view data

Description

#A function

Usage

snpfmrimth3D(n = 500, gamma = 1e-05, ncomps = 1, jth=1)

Arguments

n	the sample size
gamma	the hyper-parameters
ncomps	the number of canonical vectors
jth	the influence function of the jth canonical vector

Value

IFim	Influence value of multiple kernel canonical correlation analysis for the ideal data
IFcm	Influence value of multiple kernel canonical correlation analysis for the contaminated data

Author(s)

Md Ashad Alam <[e-mail]>

References

Md Ashad Alam, Kenji Fukumizu and Yu-Ping Wang (2018), Influence Function and Robust Variant of Kernel Canonical Correlation Analysis, Neurocomputing, Vol. 304 (2018) 12-29.

Md Ashad Alam, Vince D. Calhoun and Yu-Ping Wang (2018), Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics, Computational Statistics and Data Analysis, Vol. 125, 70- 85

See Also

See also as rkcca, snpfmridata, ifrkcca

Examples

##Dummy data:

n<-100

snpfmrimth3D(n, 0.00001,  10, 1)

RKUM documentation built on June 22, 2022, 9:06 a.m.