ex_flexsurv: Simulated example data with time-to-event Weibull outcome and...
In smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
ex_flexsurv R Documentation
Simulated example data with time-to-event Weibull outcome and two covariates
Description
A dataset containing simulated data where the time-to-event outcome is Weibull
distributed with two covariates, one of which is partially observed.
Usage
ex_flexsurv
Format
A data frame with 1000 rows and 4 variables:
- t
Time to event (d=1) or censoring (d=0)
- d
Event indicator
- x
Partially observed binary covariate
- z
Fully observed continuous covariate
smcfcs documentation built on April 4, 2025, 1:58 a.m.
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| ex_flexsurv | R Documentation |
Simulated example data with time-to-event Weibull outcome and two covariates
Description
A dataset containing simulated data where the time-to-event outcome is Weibull distributed with two covariates, one of which is partially observed.
Usage
ex_flexsurv
Format
A data frame with 1000 rows and 4 variables:
- t
Time to event (d=1) or censoring (d=0)
- d
Event indicator
- x
Partially observed binary covariate
- z
Fully observed continuous covariate
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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