G_surv_naive: Survival Function of Residual Censoring Variable
In ZexiCAI/TVQRLB: Quantile Regression Model with Time-Varying Covariates under Length-Biased Sampling
Description
Usage
Arguments
Value
Description
Evaluate the survival function of residual censoring variable at a user-specified upper bound.
Usage
1
G_surv_naive(time, cens, time_Y, weight)
Arguments
time
The follow up time for right censored data.
cens
The censoring status, 0 for censoring, 1 for failure.
time_Y
The upper bound of the integral.
weight
The weight for each observation.
Value
This function returns the function value of the residual censoring variable at a user-specified upper bound.
ZexiCAI/TVQRLB documentation built on Dec. 30, 2019, 6:02 p.m.
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Description Usage Arguments Value
Description
Evaluate the survival function of residual censoring variable at a user-specified upper bound.
Usage
1 | G_surv_naive(time, cens, time_Y, weight)
|
Arguments
time |
The follow up time for right censored data. |
cens |
The censoring status, 0 for censoring, 1 for failure. |
time_Y |
The upper bound of the integral. |
weight |
The weight for each observation. |
Value
This function returns the function value of the residual censoring variable at a user-specified upper bound.
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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