apply_af: Apply an Acceleration Factor
In pierucci/heemod: Markov Models for Health Economic Evaluations
View source: R/survival_operations.R
apply_af R Documentation
Apply an Acceleration Factor
Description
Proportionally increase or reduce the time to event of a
survival distribution.
Usage
apply_af(dist, af, log_af = FALSE)
Arguments
dist
A survival distribution.
af
An acceleration factor to be applied.
log_af
If TRUE, the accleration factor is
exponentiated before being applied.
Value
A surv_aft object.
Examples
dist1 <- define_survival(distribution = "exp", rate = .25)
aft_dist <- apply_af(dist1, 1.5)
pierucci/heemod documentation built on July 17, 2022, 9:27 p.m.
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View source: R/survival_operations.R
| apply_af | R Documentation |
Apply an Acceleration Factor
Description
Proportionally increase or reduce the time to event of a survival distribution.
Usage
apply_af(dist, af, log_af = FALSE)
Arguments
dist |
A survival distribution. |
af |
An acceleration factor to be applied. |
log_af |
If |
Value
A surv_aft object.
Examples
dist1 <- define_survival(distribution = "exp", rate = .25) aft_dist <- apply_af(dist1, 1.5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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