Coxmos (version 1.1.2)

print.Coxmos: print.Coxmos

Description

Provides a structured print output for objects of class Coxmos, detailing either the final Cox survival model or the attributes of the optimal model from cross-validation.

Usage

# S3 method for Coxmos
print(x, ...)

Value

Print information relative to a Coxmos object.

Arguments

x

Coxmos object

...

further arguments passed to or from other methods.

Author

Pedro Salguero Garcia. Maintainer: [e-mail]

Details

The print.Coxmos function serves as a diagnostic tool, offering a comprehensive display of the Coxmos object's attributes. Depending on the nature of the Coxmos object—whether it's derived from a survival model or a cross-validated model—the function tailors its output accordingly. For survival models, it elucidates the method employed, any variables removed due to high correlation, zero or near-zero variance, or non-significance within the Cox model, and presents a summary of the survival model itself. In the context of cross-validated models, the function delineates the cross-validation method utilized and, if ascertainable, details of the best model. For evaluation objects, it systematically enumerates the methods evaluated and provides a summary of metrics for each method.

Examples

data("X_proteomic")
data("Y_proteomic")
X <- X_proteomic[,1:50]
Y <- Y_proteomic
model <- splsicox(X, Y, x.center = TRUE, x.scale = TRUE)
print(model)