A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.

Recurrent Event Regression

package-ubuntu-20.04-r-4.0.5#cran#reReg-1.4.0

<p>An S4 class generic function that returns the mean cumulative function (mcf) estiamtes.
The function is imported from the <code>reda</code> package; see <code>?reda::mcf</code> for more details.
</p>

data(simDat)
m <- mcf(Recur(t.start %to% t.stop, id, event, status) ~ x1, data = simDat)
plot(m, conf.int = TRUE)

package-ubuntu-20.04-r-4.0.5#cran#reReg-1.4.0#docs#mcf

mcf

Description

Examples

reReg

We don't support your browser anymore