eval_surv: Evaluate Survival Distributions

In heemod: Markov Models for Health Economic Evaluations

Evaluate Survival Distributions

Description

Generate either survival probabilities or conditional probabilities of event for each model cycle.

Usage

eval_surv(x, time, ...)

compute_surv_(x, time, cycle_length = 1, type = c("prob", "survival"), ...)

## S3 method for class 'surv_fit'
eval_surv(x, time, ...)

## Default S3 method:
eval_surv(x, ...)

## 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, ...)

Arguments

x	A survival object
time	The model_time or state_time for which to predict.
...	arguments passed to methods.
cycle_length	The value of a Markov cycle in absolute time units.
type	Either prob, for transition probabilities, or surv, for survival.

Details

The results of compute_surv() are memoised for options("heemod.memotime") (default: 1 hour) to increase resampling performance.

Value

Returns either the survival probabilities or conditional probabilities of event for each cycle.

heemod documentation built on May 29, 2024, 8:17 a.m.