print.hdnom.model: Print high-dimensional Cox model objects
In road2stat/hdnom: Benchmarking and Visualization Toolkit for Penalized Cox Models
View source: R/1_3_model_method.R
print.hdnom.model R Documentation
Print high-dimensional Cox model objects
Description
Print high-dimensional Cox model objects
Usage
## S3 method for class 'hdnom.model'
print(x, ...)
Arguments
x
Model object.
...
Other parameters (not used).
Examples
data("smart")
x <- as.matrix(smart[, -c(1, 2)])
time <- smart$TEVENT
event <- smart$EVENT
y <- survival::Surv(time, event)
fit <- fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11)
print(fit)
road2stat/hdnom documentation built on March 14, 2024, 11:10 p.m.
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View source: R/1_3_model_method.R
| print.hdnom.model | R Documentation |
Print high-dimensional Cox model objects
Description
Print high-dimensional Cox model objects
Usage
## S3 method for class 'hdnom.model'
print(x, ...)
Arguments
x |
Model object. |
... |
Other parameters (not used). |
Examples
data("smart")
x <- as.matrix(smart[, -c(1, 2)])
time <- smart$TEVENT
event <- smart$EVENT
y <- survival::Surv(time, event)
fit <- fit_lasso(x, y, nfolds = 5, rule = "lambda.1se", seed = 11)
print(fit)
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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