View source: R/survival_eval.R
eval_surv | R Documentation |
Generate either survival probabilities or conditional probabilities of event for each model cycle.
eval_surv(x, time, ...)
compute_surv_(x, time, cycle_length = 1, type = c("prob", "survival"), ...)
## S3 method for class 'survfit'
eval_surv(x, time, ...)
## S3 method for class 'flexsurvreg'
eval_surv(x, time, ...)
## S3 method for class 'surv_model'
eval_surv(x, time, ...)
## S3 method for class 'surv_projection'
eval_surv(x, time, ...)
## S3 method for class 'surv_pooled'
eval_surv(x, time, ...)
## S3 method for class 'surv_ph'
eval_surv(x, time, ...)
## S3 method for class 'surv_shift'
eval_surv(x, time, ...)
## S3 method for class 'surv_aft'
eval_surv(x, time, ...)
## S3 method for class 'surv_po'
eval_surv(x, time, ...)
## S3 method for class 'surv_add_haz'
eval_surv(x, time, ...)
## S3 method for class 'surv_dist'
eval_surv(x, time, ...)
## S3 method for class 'surv_table'
eval_surv(x, time, ...)
x |
A survival distribution object |
time |
The |
... |
arguments passed to methods. |
cycle_length |
The value of a Markov cycle in absolute time units. |
type |
Either |
The results of compute_surv()
are memoised for
options("heemod.memotime")
(default: 1 hour) to
increase resampling performance.
Returns either the survival probalities or conditional probabilities of event for each cycle.
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