cumhazCIs_for_target_transition: Ancillary function of 'boot_ebmstate'.
In ebmstate: Empirical Bayes Multi-State Cox Model

Description Usage Arguments Value Author(s) See Also

View source: R/bootstrap_and_leave_one_out.R

Computes 95% highest density, non-parametric bootstrap confidence intervals for the cumulative hazard rate functions, given a list of msfit objects with boostrap estimates of cumulative hazard rate functions for multiple transitions. This function is not meant to be called by the user.

1	cumhazCIs_for_target_transition(transition, msfit_objects_boot)

`transition`	The transition for which transition confidence intervals are computed.
`msfit_objects_boot`	List of `msfit` objects with boostrap estimates of cumulative hazard rate functions for multiple transitions.

95% highest density, non-parametric bootstrap confidence intervals for the cumulative hazard rate functions.

Rui Costa

boot_ebmstate.

ebmstate documentation built on Dec. 20, 2021, 5:07 p.m.