C2beta: Compute the coefficients from the continuum regression (CR)...
In JICO: Joint and Individual Regression
C2beta R Documentation
Compute the coefficients from the continuum regression (CR) algorithm
Description
This function converts the CR algorithm outputs to the regression coefficients
Usage
C2beta(X, Y, C, lambda)
Arguments
X
The input feature matrix
Y
The input response vector
C
The weight matrix computed from CR algorithm
lambda
Deprecated. Regularization parameter if L2 penalization is used for CR.
JICO uses zero as default.
Value
A list of regression coefficients to perform the prediction task.
JICO documentation built on May 31, 2023, 6:34 p.m.
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| C2beta | R Documentation |
Compute the coefficients from the continuum regression (CR) algorithm
Description
This function converts the CR algorithm outputs to the regression coefficients
Usage
C2beta(X, Y, C, lambda)
Arguments
X |
The input feature matrix |
Y |
The input response vector |
C |
The weight matrix computed from CR algorithm |
lambda |
Deprecated. Regularization parameter if L2 penalization is used for CR. JICO uses zero as default. |
Value
A list of regression coefficients to perform the prediction task.
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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