survfit.transph: Compute survival and cumulative hazard curves from a transph...
In ekenah/transtat: Statistical Methods for Infectious Disease Transmission

Description Usage Arguments Value Author(s)

Compute survival and cumulative hazard curves from a transph model

1	survfit.transph(creg, newdata, level = 0.95, transform = "log-log", ...)

`newdata`	A data frame or named vector with the same variable names as the `transph` formula. It will be passed to `survfit.coxph`.
`level`	The level for pointwise two-sided confidence limits.
`transform`	The transformation of the survival function used to calculate confidence limits. The "log-log" option uses the log cumulative hazard, and the "log" option uses the cumulative hazard directly.
`...`	Further arguments to be passed to `survfit.coxph`, such as `type`, `vartype`, and `start.time`. Do not include `se.fit`, which is `TRUE` (the default), or `conf.type`, which is set to `none`.
`treg`	A `transph` object.

A survfit.object with its std.err, upper, and lower components altered as needed to account for uncertainty in who-infected-whom. The conf.int and conf.type components are altered to match the level and transform arguments, respectively. This object can be passed to the following methods from the survival package: plot.survfit, summary.survfit, and print.survfit.