adjusted_rvcoef: Adjusted RV Coefficient
In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
View source: R/multiscaleSVDxpts.R
adjusted_rvcoef R Documentation
Adjusted RV Coefficient
Description
Computes the adjusted RV coefficient between two matrices, as proposed by Mordant and Segers.
Usage
adjusted_rvcoef(X, Y, lambda = 0.000001)
Arguments
X
First matrix
Y
Second matrix
lambda
The ridge penalty parameter (default is 1e-6).
Value
Adjusted RV coefficient (a value between 0 and 1)
References
Mordant, G., & Segers, J. (2006). A note on the RV coefficient. Journal of Multivariate Analysis, 97(10), 2155-2164.
Examples
X <- matrix(rnorm(100), nrow = 10)
Y <- matrix(rnorm(100), nrow = 10)
adjusted_rvcoef(X, Y)
stnava/ANTsR documentation built on April 13, 2025, 4:10 a.m.
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View source: R/multiscaleSVDxpts.R
| adjusted_rvcoef | R Documentation |
Adjusted RV Coefficient
Description
Computes the adjusted RV coefficient between two matrices, as proposed by Mordant and Segers.
Usage
adjusted_rvcoef(X, Y, lambda = 0.000001)
Arguments
X |
First matrix |
Y |
Second matrix |
lambda |
The ridge penalty parameter (default is 1e-6). |
Value
Adjusted RV coefficient (a value between 0 and 1)
References
Mordant, G., & Segers, J. (2006). A note on the RV coefficient. Journal of Multivariate Analysis, 97(10), 2155-2164.
Examples
X <- matrix(rnorm(100), nrow = 10)
Y <- matrix(rnorm(100), nrow = 10)
adjusted_rvcoef(X, Y)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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