simsurv: Simulate Survival Data
Simulate survival times from standard parametric survival
distributions (exponential, Weibull, Gompertz), 2-component mixture
distributions, or a user-defined hazard, log hazard, cumulative hazard,
or log cumulative hazard function. Baseline covariates can be included
under a proportional hazards assumption.
Time dependent effects (i.e. non-proportional hazards) can be included by
interacting covariates with linear time or a user-defined function of time.
Clustered event times are also accommodated.
The 2-component mixture distributions can allow for a variety of flexible
baseline hazard functions reflecting those seen in practice.
If the user wishes to provide a user-defined
hazard or log hazard function then this is possible, and the resulting
cumulative hazard function does not need to have a closed-form solution.
For details see the supporting paper <doi:10.18637/jss.v097.i03>.
Note that this package is modelled on the 'survsim' package available in
the 'Stata' software (see Crowther and Lambert (2012)
<https://www.stata-journal.com/sjpdf.html?articlenum=st0275> or
Crowther and Lambert (2013) <doi:10.1002/sim.5823>).
Version: |
1.0.0 |
Depends: |
R (≥ 3.3.0) |
Imports: |
methods, stats |
Suggests: |
BB (≥ 2014.10.1), eha (≥ 2.4.5), flexsurv (≥ 1.1.0), knitr (≥ 1.15.1), MASS, rmarkdown, rstpm2 (≥ 1.4.1), survival (≥
2.40.1), testthat (≥ 1.0.2) |
Published: |
2021-01-13 |
Author: |
Sam Brilleman [cre, aut, cph],
Alessandro Gasparini [ctb] |
Maintainer: |
Sam Brilleman <sam.brilleman at gmail.com> |
BugReports: |
https://github.com/sambrilleman/simsurv/issues |
License: |
GPL (≥ 3) | file LICENSE |
NeedsCompilation: |
no |
Citation: |
simsurv citation info |
Materials: |
NEWS |
In views: |
Survival |
CRAN checks: |
simsurv results |
Documentation:
Downloads:
Reverse dependencies:
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