npsimu: Simulation data generation of PH model with time-varying...
In NPCox: Nonparametric and Semiparametric Proportional Hazards Model
npsimu R Documentation
Simulation data generation of PH model with time-varying coefficients.
Description
An example of data generation for nonparametric PH model.
Usage
npsimu(n, cenpara = NULL)
Arguments
n
The number of sample size, which can be self-determined.
cenpara
Censoring parameter, which is supposed to be positive, for adjustment of censoring rate.
Details
This is some description of this function.
'npsimu' is designed for PH model with time-varying coefficients, h(t) = h0(t)exp(b(t)'Z), generating the covariates, observed time and censoring indicator.
Value
a list that contain covariates, observed time and censoring indicator.
Examples
data = npsimu(200)
NPCox documentation built on Oct. 14, 2024, 9:11 a.m.
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| npsimu | R Documentation |
Simulation data generation of PH model with time-varying coefficients.
Description
An example of data generation for nonparametric PH model.
Usage
npsimu(n, cenpara = NULL)
Arguments
n |
The number of sample size, which can be self-determined. |
cenpara |
Censoring parameter, which is supposed to be positive, for adjustment of censoring rate. |
Details
This is some description of this function.
'npsimu' is designed for PH model with time-varying coefficients, h(t) = h0(t)exp(b(t)'Z), generating the covariates, observed time and censoring indicator.
Value
a list that contain covariates, observed time and censoring indicator.
Examples
data = npsimu(200)
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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