coefvimp.pcoxtime: Coefficient variable importance
In pcoxtime: Penalized Cox Proportional Hazard Model for Time-Dependent Covariates
coefvimp.pcoxtime R Documentation
Coefficient variable importance
Description
Coefficient variable importance
Usage
coefvimp.pcoxtime(object, relative = TRUE, ...)
Arguments
object
fitted pcoxtime.
relative
logical. If TRUE the scores are divided by the absolute sum of the coefficients.
...
for future implementation.
Details
Absolute value of the coefficients (parameters) corresponding the tuned pcoxtime object.
Value
a named vector of variable scores (estimate = "mean") or a data frame (estimate = "quantile").
pcoxtime documentation built on May 13, 2022, 1:05 a.m.
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| coefvimp.pcoxtime | R Documentation |
Coefficient variable importance
Description
Coefficient variable importance
Usage
coefvimp.pcoxtime(object, relative = TRUE, ...)
Arguments
object |
fitted |
relative |
logical. If |
... |
for future implementation. |
Details
Absolute value of the coefficients (parameters) corresponding the tuned pcoxtime object.
Value
a named vector of variable scores (estimate = "mean") or a data frame (estimate = "quantile").
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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