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The R package rsurv is aimed for general survival data simulationpurposes. The package is built under a new approach to simulate survivaldata that depends deeply on the use of dplyr verbs. The proposed packageallows simulations of survival data from a wide range of regressionmodels, including accelerated failure time (AFT), proportional hazards(PH), proportional odds (PO), accelerated hazard (AH), Yang and Prentice(YP), and extended hazard (EH) models. The package rsurv also stands outby its ability to generate survival data from an unlimited number ofbaseline distributions provided that an implementation of the quantilefunction of the chosen baseline distribution is available in R. Anothernice feature of the package rsurv lies in the fact that linearpredictors are specified via a formula-based approach, facilitating theinclusion of categorical variables and interaction terms. The functionsimplemented in the package rsurv can also be employed to simulatesurvival data with more complex structures, such as survival data withdifferent types of censoring mechanisms, survival data with curefraction, survival data with random effects (frailties), multivariatesurvival data, and competing risks survival data. Details about the Rpackage rsurv can be found in Demarqui (2024)<doi.org/10.48550/arXiv.2406.01750>.

You can install the released version of rsurv fromCRAN with:

install.packages("rsurv")

You can install the development version of rsurv like so:

# install.packages("devtools")devtools::install_github("fndemarqui/rsurv")