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QRFCCA (version 1.0)

Quadratically Regularized Functional Canonical Correlation Analysis

Description

Conduct quadratically regularized functional canonical correlation analysis. The details of the method are explained in Nan Lin, Yun Zhu, Ruzhong Fan and Momiaoxiong (2017) .

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Version

Install

install.packages('QRFCCA')

Monthly Downloads

2

Version

1.0

License

GPL-2 | GPL-3

Maintainer

Nan Lin

Last Published

November 14th, 2017

Functions in QRFCCA (1.0)

phe_data

Example Phenotype Data Set for Demonstration
QRFCCA-package

QRFCCA
lm.rm

Remove the linear main effect
qcca

Quadratically Regularized Canonical Correlation Analysis
mrank_sq

Matrix rank of symetrix matrix
mrank

Matrix rank
myinv

Generailized inverse
cca

Canonical Correlation Analysis
fourier.expansion.smoothed

Smoothed Fourier Expansion
p_ginv

Power Inverse
p_ginv_sq

Power generalized inverse of a symetric matrix
fourier.expansion

Fourier Expansion
snp_data

Example SNP Data Set
fpca.score

Functional Principal Component Scores
qcca_p

Quadratically Regularized Canonical Correlation Analysis with Low Rank Proportion
qlr

Quadratically Low Rank Matrix
CCA_chisq_test

Chi-square Test for Canonical Correlation Analysis