ExpQuantOS: Quantile function for OS survival function induced by an...
In simIDM: Simulating Oncology Trials using an Illness-Death Model
View source: R/survivalFunctions.R
ExpQuantOS R Documentation
Quantile function for OS survival function induced by an illness-death model
Description
Quantile function for OS survival function induced by an illness-death model
Usage
ExpQuantOS(q = 1/2, h01, h02, h12)
Arguments
q
(numeric)
quantile(s) at which to compute event time (q = 1 / 2 corresponds to median).
h01
(numeric vector)
constant transition hazards for 0 to 1 transition.
h02
(numeric vector)
constant transition hazards for 0 to 2 transition.
h12
(numeric vector)
constant transition hazards for 1 to 2 transition.
Value
This returns the time(s) t such that the OS survival function at t equals q.
Examples
ExpQuantOS(1 / 2, 0.2, 0.5, 2.1)
simIDM documentation built on May 29, 2024, 6:38 a.m.
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View source: R/survivalFunctions.R
| ExpQuantOS | R Documentation |
Quantile function for OS survival function induced by an illness-death model
Description
Quantile function for OS survival function induced by an illness-death model
Usage
ExpQuantOS(q = 1/2, h01, h02, h12)
Arguments
q |
( |
h01 |
( |
h02 |
( |
h12 |
( |
Value
This returns the time(s) t such that the OS survival function at t equals q.
Examples
ExpQuantOS(1 / 2, 0.2, 0.5, 2.1)
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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