tvef.ph: testing the proportional hazards assumption from a 'coxtv' or...
In surtvep: Cox Non-Proportional Hazards Model with Time-Varying Coefficients
tvef.ph R Documentation
testing the proportional hazards assumption from a coxtv or coxtp object
Description
Testing the proportional hazards assumption using a Wald test statistic.
Usage
tvef.ph(fit, parm)
Arguments
fit
fitted coxtv or coxtp model.
parm
the names of parameters to be tested.
Value
tvef.ph produces a matrix. Each row corresponds to a covariate from the fitted object. The three
columns give the test statistic, degrees of freedom and P-value.
See Also
tvef.zero tvef.zero.time
Examples
data(ExampleData)
z <- ExampleData$z
time <- ExampleData$time
event <- ExampleData$event
fit <- coxtv(event = event, z = z, time = time)
tvef.ph(fit)
surtvep documentation built on Oct. 17, 2023, 5:07 p.m.
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| tvef.ph | R Documentation |
testing the proportional hazards assumption from a coxtv or coxtp object
Description
Testing the proportional hazards assumption using a Wald test statistic.
Usage
tvef.ph(fit, parm)
Arguments
fit |
fitted |
parm |
the names of parameters to be tested. |
Value
tvef.ph produces a matrix. Each row corresponds to a covariate from the fitted object. The three
columns give the test statistic, degrees of freedom and P-value.
See Also
tvef.zero tvef.zero.time
Examples
data(ExampleData)
z <- ExampleData$z
time <- ExampleData$time
event <- ExampleData$event
fit <- coxtv(event = event, z = z, time = time)
tvef.ph(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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