estim.regul
(Package: CCA) :
Estimate the parameters of regularization
Calulate the leave-one-out criterion on a 2D-grid to determine optimal values for the parameters of regularization.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: estim.regul
●
0 images
|
cc
(Package: CCA) :
Canonical Correlation Analysis
The function performs Canonical Correlation Analysis to highlight correlations between two data matrices. It complete the cancor() function with supplemental numerical and graphical outputs and can handle missing values.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: cc
●
2 images
|
CCA-package
(Package: CCA) :
Canonical correlation analysis
The package provides a set of functions that extend the cancor() function with new numerical and graphical outputs. It includes a regularized extension of the canonical correlation analysis to deal with datasets with more variables than observations and enables to handle with missing values.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: CCA, CCA-package
●
0 images
|
img.matcor
(Package: CCA) :
Image of correlation matrices
Display images of the correlation matrices within and between two data matrices.
● Data Source:
CranContrib
● Keywords: dplot
● Alias: img.matcor
●
2 images
|
comput
(Package: CCA) :
Additional computations for CCA
The comput() function can be viewed as an internal function. It is called by cc() and rcc to perform additional computations. The user does not have to call it by himself.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: comput
●
0 images
|
plt.var
(Package: CCA) :
Variables representation for CCA
This function provides variables representation on the canonical variates.
● Data Source:
CranContrib
● Keywords: dplot
● Alias: plt.var
●
0 images
|
plt.cc
(Package: CCA) :
Graphical outputs for canonical correlation analysis
This function calls either plt.var() or plt.indiv() or both functions to provide individual and/or variable representation on the canonical variates.
● Data Source:
CranContrib
● Keywords: dplot
● Alias: plt.cc
●
2 images
|
img.estim.regul
(Package: CCA) :
Plot the cross-validation criterion
This function provide a visualization of the values of the cross-validation criterion obtained on a grid defined in the function estim.regul().
● Data Source:
CranContrib
● Keywords: dplot
● Alias: img.estim.regul
●
0 images
|
rcc
(Package: CCA) :
Regularized Canonical Correlation Analysis
The function performs the Regularized extension of the Canonical Correlation Analysis to seek correlations between two data matrices when the number of columns (variables) exceeds the number of rows (observations)
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: rcc
●
1 images
|
loo
(Package: CCA) :
Leave-one-out criterion
The loo() function can be viewed as an internal function. It is called by estim.regul() to obtain optimal values for the two parameters of regularization.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: loo
●
0 images
|
providing 
.