Finds the compositions and sizes of risk sets
Focus is on the risk set composition just prior to a failure.
risksets( x, strata = NULL, max.survs = NULL, members = TRUE, collate_sets = FALSE )
x |
A |
strata |
Stratum indicator. |
max.survs |
Maximum number of survivors in each risk set. If smaller than the 'natural number', survivors are sampled from the present ones. No sampling if missing. |
members |
If TRUE, all members of all risk sets are listed in the resulting list, see below. |
collate_sets |
logical. If TRUE, group information by
risk sets in a list. Only if |
If the input argument max.survs is left alone, all survivors are accounted for in all risk sets.
A list with components (if collate_sets = FALSE
)
antrs |
No. of risk sets in each
stratum. The number of strata is given by |
risktimes |
Ordered distinct failure time points. |
eventset |
If 'members' is TRUE, a vector of pointers to events in each risk set, else NULL. |
riskset |
If 'members' is TRUE, a vector of pointers to the members of the risk sets, in order. The 'n.events' first are the events. If 'members' is FALSE, 'riskset' is NULL. |
size |
The sizes of the risk sets. |
n.events |
The number of events in each risk set. |
sample_fraction |
If 'members' is TRUE, the sampling fraction of survivors in each risk set. |
Can be used to "sample the risk sets".
Göran Broström
enter <- c(0, 1, 0, 0) exit <- c(1, 2, 3, 4) event <- c(1, 1, 1, 0) risksets(Surv(enter, exit, event))
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