sim_mix_data: Simulated dataset
In bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data
sim_mix_data R Documentation
Simulated dataset
Description
A synthetic dataset generated from a bimodal promotion time distribution. The available covariates are:
x1 continuous.
x2 factor with three levels.
Among the 500 observations, there are 123 censoring times (censoring = 0) and 377 "events" (censoring = 1). The true status (cured or susceptible) is contained in the column true_status and contains 59 cured and 441 susceptible subjects.
Usage
data(sim_mix_data)
Format
Time-to-event data.
bayesCureRateModel documentation built on Oct. 4, 2024, 1:07 a.m.
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| sim_mix_data | R Documentation |
Simulated dataset
Description
A synthetic dataset generated from a bimodal promotion time distribution. The available covariates are:
x1continuous.
x2factor with three levels.
Among the 500 observations, there are 123 censoring times (censoring = 0) and 377 "events" (censoring = 1). The true status (cured or susceptible) is contained in the column true_status and contains 59 cured and 441 susceptible subjects.
Usage
data(sim_mix_data)Format
Time-to-event data.
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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