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The development repository for flexsurvcure, an R package for parametric mixture and non-mixture cure models. Flexsurvcure is based onflexsurv, the R package for parametric survival modelling.

install.packages("flexsurv")install.packages("devtools")devtools::install_github('jrdnmdhl/flexsurvcure')

All of the built-in distribution with flexsurvreg are supported, though some currently have issues with convergence and numerical instability. The following distributions currently seem reliable:

• Exponential (exp)
• Weibull (weibull, weibullPH)
• Lognormal (lnorm)
• Log-Logistic (llogis)

The following distributions are supported, but may not be reliable:

• Gompertz (gompertz)
• Generalized Gamma (gengamma, gengamma.orig)
• Generalized F (genf, genf.orig)

Custom distributions can also be used by passing a distribution list (seeflexsurv examples).

mixture= flexsurvcure(Surv(rectime,censrec)~group,data=bc,dist="weibullPH",link="logistic",mixture=T)plot(mixture)

non_mixture= flexsurvcure(Surv(rectime,censrec)~group,data=bc,dist="weibullPH",link="loglog",mixture=F)plot(non_mixture)

non_mixture_covarite_scale= flexsurvcure(Surv(rectime,censrec)~group,data=bc,anc=list(scale=~group),dist="weibullPH",link="loglog",mixture=F)plot(non_mixture_covarite_scale)