get_single_conditional_times: Generate ONE sample from the posterior predictive of...
In kravitz-eli/simCondSurv: What the Package Does (One Line, Title Case)
Description
Get the posterior predictive distribution of conditional survival times for a
SINGLE posterior sample. This function should be interated
over all posterior samples.
Usage
1
2
get_single_conditional_times(time, event, trt, distribution,
n_events = NA, params)
Arguments
time
positive numeric. Survival times
event
logical or 0/1. event = 1 indicates failure,
event = 0 indicates censoring
trt
0/1 vector. Indicates assignment to treatment or control
n_events
numeric or NULL. How many events should be observed before
censoring. If NA, there will be no censoring time.
log_HR
log hazard ratio, usually posterior sample
kravitz-eli/simCondSurv documentation built on April 14, 2020, 6:02 a.m.
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Description
Get the posterior predictive distribution of conditional survival times for a SINGLE posterior sample. This function should be interated over all posterior samples.
Usage
1 2 | get_single_conditional_times(time, event, trt, distribution,
n_events = NA, params)
|
Arguments
time |
positive numeric. Survival times |
event |
logical or 0/1. |
trt |
0/1 vector. Indicates assignment to treatment or control |
n_events |
numeric or NULL. How many events should be observed before censoring. If NA, there will be no censoring time. |
log_HR |
log hazard ratio, usually posterior sample |
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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