Package: simsurv 1.0.0-9999

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>).

Authors:Sam Brilleman [cre, aut, cph], Alessandro Gasparini [ctb]

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simsurv.pdf |simsurv.html
simsurv/json (API)
NEWS

# Install 'simsurv' in R:
install.packages('simsurv', repos = c('https://sambrilleman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sambrilleman/simsurv/issues

Datasets:

On CRAN:

1 exports 22 stars 2.37 score 0 dependencies 2 dependents 159 scripts 608 downloads

Last updated 4 years agofrom:2a89ac9009. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:simsurv

Dependencies:

How to use the simsurv package

Rendered fromsimsurv_usage.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2019-02-01
Started: 2018-02-26

Technical background to the simsurv package

Rendered fromsimsurv_technical.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2019-02-06
Started: 2018-02-26